Podcasts about chatgbt

Angst und Emotionen spielen eine enorm wichtige Rolle bei der Geldanlage und führen nicht selten auch zu Verlusten. Dazu gibt es inzwischen sehr interessante Studien und Experimente. Mehr dazu in der heutigen Episode. Du hast einen Themen-Wunsch für den Podcast oder interessierst Dich für ein Seminar mit mir? Schreibe mir gerne einfach per E-Mail: krapp@abatus-beratung.com   Viel Spaß beim Hören, Dein Matthias Krapp (Transkript dieser Folge weiter unten)   NEU!!! Hier kannst Du Dich kostenlos für meinen Minikurs registrieren und reinschauen. Es lohnt sich: https://portal.abatus-beratung.com/geldanlage-kurs/    

AI (Artificial Intelligence) Language tool known as ChatGBT talks evolving w/ Cory Kastle.

An amazing leader shared an idea to write a list of your life experiences and accomplishments into ChatGBT, and see your story. I did. And it was beautifully captured in a way that I wouldn't have composed it. What happens when you write down your journey and allow someone or AI reflect it back? Who do we allow ourselves to become and what do we begin to OWN within? Enjoy your story.  Here is mine. Asante sana, Angela PS If you want to be in my orbit more, here are some ways to connect: drangela@creatingubuntu.com - feel free to share your insights about the podcast and how it supports you in your unique life journey PPS I have created a sanctuary for the servant leader within you.  This online portal is available to connect you with other revolutionaries.  Let's gather together and rise.  Ubuntu CommUNITY is open for you, now.  Email me and I can send you the deets.  

It's everything we want it to be and everything we don't want it to be. Is AI the answer for the foreseable future of mankind or is it an accident waiting to happen? Those questions and more on this evergrowing topic. Are you reaady? Let's talk! Connect with the Podcast Crew Tsombawi "TèKà" Knibye, Jr.: Facebook @tknibyejr Twitter @tknibyejr, Instagram @tknibyejr Omar "O" Williams: Instagram @odw1980 Denise "D-Nice" Obi: Facebook @denise.obi Instagram @iamdniceeeee Frame of Mind Ink Podcast Website: frameofmindink.com Email: fofmpodcast@frameofmindink.com Phone: (302) 689-3499

Hey ihr Lieben, willkommen zur 94. Folge ⭐️ wir geben euch natürlich wieder ein Update über die vergangene Woche- über Hausarbeiten, neue Handys und abstürzende Laptops. Wann ist es Zeit in ein neues Gerät zu investieren? Hanna kam diese Woche Taylor Swift ein bisschen näher und Soso und Emma erzählen von Konzerten auf denen sie waren und noch gehen. Warum hat Berlin eigentlich so eine Sonderstellung bei Artists? Warum kommen immer nur da die coolen Gastauftritte? Wahrscheinlich ist es vergleichbar zu London, was aus irgendeinem Grund von super vielen Artists bevorzugt wird. Special Suprise Songs und Gastauftritte von Taylor Swift, Harry singt Sweet Creature in Wembley usw.... Außerdem sprechen wir heute ungeplant über KI wie Chat GBT und Co. Wofür kann man diese Plattformen guten Gewissens benutzen? Ist es eher Risk oder Möglichkeit? Schreibt uns gerne eure Gedanken zur Folge über @shesstalking auf Instagram und TikTok oder über Mail shestalking@web.de - wir freuen uns! Bis nächste Woche

It is very difficult to find radio show guests sometimes, so I invented one of my own!___Thanks for listening to today's episode! Come back again soon for more great CFNC content and check out whatever we are up to now at the link below! If you enjoyed today's episode, share it with a friend and rate us on Spotify and Apple Podcasts!Linktree: ⁠⁠⁠⁠⁠⁠⁠linktr.ee/cfncpodcast

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And as if the above title weren't enough, Paul Hylenski is also a 5-time successful author, a pilot and a public speaker. Paul grew up in Delaware. He joined the Marines in 1999 and stayed with the Corps until 2007. He then left to join a large company and, as he put it, got the opportunity to observe both good and bad leaders. He and I talk quite a bit about leaders and leadership. I asked him if he observed bad leadership in the Marines. He said that people being human do find themselves not leading properly in and out of the marines. His insights about this are best left for him to tell.   Along the way Paul formed his company, Quantum Leap Academy. His company was formed to provide comprehensive training in AI technologies. He also formed VetMentor.ai, a service designed to assist military members in navigating the complexities of disability claims and career transitions with the aid of AI.   As you may be able to gather, AI is a subject Paul has learned a great deal about. He discusses how we all can use it much more than we do in ways that can and will benefit us along our life journeys.   Time passed for me quickly talking with Paul. He would love to hear from you, veteran or not. He has much to offer as you will see.       About the Guest:   Paul Hylenski is a dynamic business leader, software programmer, and motivational speaker with a deep passion for leveraging technology to enhance community and personal growth. After serving in the Marine Corps, Paul founded Quantum Leap Academy, a platform dedicated to providing comprehensive training in AI technologies. His vision extends into healthcare, where he has launched BioMarker Detect, an early cancer detection company. Paul's entrepreneurial spirit is complemented by his authorship, notably of his book 'Error-Proofing Humans,' which explores the intersection of human error and technological solutions. Paul's commitment to veteran affairs is evident through VetMentor.AI, a service designed to assist military members in navigating the complexities of disability claims and career transitions with the aid of AI. His efforts to democratize technology education are also showcased in his development of courses like 'Introduction to AI for Teens' and specialized training for veterans. Outside of his professional endeavors, Paul enjoys piloting aircraft and spending quality time with his family. His forward-thinking approach and dedication to service have made significant impacts across multiple sectors, particularly in AI education and veteran support.   Ways to connect with Paul:   LinkedIn : (1) Paul Hylenski | LinkedIn Website : www.quantumleapacademy.org   About the Host:   Michael Hingson is a New York Times best-selling author, international lecturer, and Chief Vision Officer for accessiBe. Michael, blind since birth, survived the 9/11 attacks with the help of his guide dog Roselle. This story is the subject of his best-selling book, Thunder Dog.   Michael gives over 100 presentations around the world each year speaking to influential groups such as Exxon Mobile, AT&T, Federal Express, Scripps College, Rutgers University, Children's Hospital, and the American Red Cross just to name a few. He is Ambassador for the National Braille Literacy Campaign for the National Federation of the Blind and also serves as Ambassador for the American Humane Association's 2012 Hero Dog Awards.   https://michaelhingson.com https://www.facebook.com/michael.hingson.author.speaker/ https://twitter.com/mhingson https://www.youtube.com/user/mhingson https://www.linkedin.com/in/michaelhingson/   accessiBe Links https://accessibe.com/ https://www.youtube.com/c/accessiBe https://www.linkedin.com/company/accessibe/mycompany/   https://www.facebook.com/accessibe/       Thanks for listening!   Thanks so much for listening to our podcast! If you enjoyed this episode and think that others could benefit from listening, please share it using the social media buttons on this page. Do you have some feedback or questions about this episode? Leave a comment in the section below!   Subscribe to the podcast   If you would like to get automatic updates of new podcast episodes, you can subscribe to the podcast on Apple Podcasts or Stitcher. You can subscribe in your favorite podcast app. You can also support our podcast through our tip jar https://tips.pinecast.com/jar/unstoppable-mindset .   Leave us an Apple Podcasts review   Ratings and reviews from our listeners are extremely valuable to us and greatly appreciated. They help our podcast rank higher on Apple Podcasts, which exposes our show to more awesome listeners like you. If you have a minute, please leave an honest review on Apple Podcasts.       Transcription Notes: Michael Hingson ** 00:00 Access Cast and accessiBe Initiative presents Unstoppable Mindset. The podcast where inclusion, diversity and the unexpected meet. Hi, I'm Michael Hingson, Chief Vision Officer for accessiBe and the author of the number one New York Times bestselling book, Thunder dog, the story of a blind man, his guide dog and the triumph of trust. Thanks for joining me on my podcast as we explore our own blinding fears of inclusion unacceptance and our resistance to change. We will discover the idea that no matter the situation, or the people we encounter, our own fears, and prejudices often are our strongest barriers to moving forward. The unstoppable mindset podcast is sponsored by accessiBe, that's a c c e s s i capital B e. Visit www.accessibe.com to learn how you can make your website accessible for persons with disabilities. And to help make the internet fully inclusive by the year 2025. Glad you dropped by we're happy to meet you and to have you here with us.   Michael Hingson ** 01:21 Well, hello everyone, and pleasant greetings to you wherever you happen to be today. I am Michael Hingson, the host of unstoppable mindset where inclusion, diversity and the unexpected meet. It's a lot of fun to be here. I really appreciate you joining us today. Hope that you have as much fun listening as I and our guest have in bringing this to you, I tell everyone who's going to come on the podcast that there is only one rule that everyone has to follow on the podcast or we won't do it, and that is, you have to have fun. And Paul Hylenski is definitely a person who said he would him force himself to do that. So Paul, welcome to unstoppable mindset. We're really glad you're here   Paul Hylenski ** 02:02 today. Thank you so much. Michael, appreciate it. Thank you for having me on Well, Paul is a   Michael Hingson ** 02:08 former Marine. He is the founder and CEO of something called Quantum Leap. He does various things with AI and technology. He is a leader by any standard. He's authored, if I recall write five books anymore, any more coming up in the queue, we'll have to learn about that. But definitely not a person who is idle, a man of action in a lot of different ways. And we're really glad that you're here with us. So why don't we start if you would, why don't you tell me a little bit about you as kind of the early Paul growing up and all that kind of life and all that and how you got started.   Paul Hylenski ** 02:45 So, you know, I grew up in actual Newark, Delaware, so funny, there had a great childhood. Decided when I was in high school that I was going to enlist in the Marine Corps, so I wanted to be one of the few and the proud, and so I joined the Marine Corps, served in the Marine Corps, that was one of the best experiences of my life. Then after the Marine Corps, I actually got connected with a company with that was an aerospace company, and started working there as a frontline leader, and then from there, I saw a lot of bad leaders, and I saw some great leaders. And so I was able to, actually, as I kept going through the ranks, tailor my leadership towards how I wanted to be. And it was different. It was using science, psychology and leadership. And then as the AI revolution started happening, I started actually putting AI into business, and I wrote a book about AI in business, and then I thought to myself, well, now maybe I can impact the world in a bigger way. And that was what kind of drove me to start Quantum Leap Academy. And Quantum Leap Academy focuses on teaching professionals AI that's practical and and then that's really been my passion and mission is impacting the world with actually teaching how to automate and really make your life easier using AI   Michael Hingson ** 04:23 Cool. Well, you've been been doing a lot of stuff. How did you come up with the name quantum leap?   Paul Hylenski ** 04:29 A great story, but back in the 80s, there used to be an amazing TV   Michael Hingson ** 04:33 show, yes. So   Paul Hylenski ** 04:35 I thought, what better? You know, I was looking for a name that showed like, look, we're gonna go from where we're at now, and we're going to take this huge leap, and it's almost a leap of faith, you know, that we can use this new technology in in the forces of good. And so, you know, broke it out from my childhood. But, you know, kind of took the quantum leap. And then, you know, the academy. So, and   Michael Hingson ** 05:02 it kind of went from there, yeah, well, so you said that you left the Marines. Well, when you left the Marines, and you went then to a major company, and you started out in kind of initial leadership and so on, how did being a Marine help you in terms of dealing with an understanding leadership, much less what made a good leader and what made a leader, not necessarily a good leader.   Paul Hylenski ** 05:31 You know, for me, and I've done, I've done a few talks, and I've done a couple TED talks, actually, on this. And for me, the military is is is a great example of what they what I like to call the total leadership. So in business, normally what we do is we only worry about the people when we need them, or while they're at work or while they're accomplishing a mission. But in the military, we have to worry about the total person, because even the person's home life, or maybe things they have going on outside of the mission impact their ability to carry out the mission. And, you know, I've said a couple things you know about just both the military rewards people. So in the military, you get medals, and, you know, you get medals and awards for sacrificing yourself for the good of your people. But in business, a lot of times you get, you know, raises and promotions for sacrificing everyone around you for the good of yourself. And I think that's a flawed dynamic that I really got to see in action in the military, and I brought that into the civilian business life, do you   Michael Hingson ** 06:45 and looking back on it, if you will, and you talked about you saw leaders who were good leaders and not so good leaders in the corporate world. And I don't want to pick on the military, but did you see the same sort of thing at all in the military, or do they really weed out people who don't tend to to do very well in the leadership role? That's   Paul Hylenski ** 07:07 actually a myth. So most people think that there's only great leaders in the military.   Michael Hingson ** 07:15 You did find some that weren't necessarily so, okay,   Paul Hylenski ** 07:18 yes, yeah. And you know, like bad leaders tend to shape us in different ways, and sometimes better than the better leaders. You know, because you learn more from watching people who might be doing it wrong. But you know, it is great learning experience. I learned some things to do, and then I learned some things that did work, but yeah, absolutely, there are bad leaders everywhere. So   Michael Hingson ** 07:43 what would you define as as a bad leader? What are some things that you experienced or you've seen that made people not necessarily such great leaders?   Paul Hylenski ** 07:52 So for me, it's, you know, leading through intimidation and fear that was a practice that was made pretty common all throughout, you know, 1970s 1980s and the myth there was that people stayed because they were okay with the treatment. Well, in reality, the reason why they stayed to endure that horrible kind of leadership was because they had pensions. Well, the world now doesn't have pensions for most part. So people stay because they like the place or they like the culture. You know, another defining factor for me for leadership is, do I feel psychologically safe with that person? Yeah. And, you know, psychological safety and the ability to make state mistakes and the ability to make failures and view them as growth really defines a leader that's focused on the future and not just on the present or the past.   Michael Hingson ** 08:48 In the military, did people have much opportunity when they encountered somebody who wasn't necessarily a good leader to move elsewhere? I would think that that was probably more challenging to do than when you're working for a company, especially a large company, where you could transfer probably easier, is that true?   Paul Hylenski ** 09:08 Yeah, that that is true. So sometimes you had to endure it and and then you make the best out of a situation. And, you know, like I was saying earlier, sometimes that's where I learned, you know, as I was going through things that just didn't work, you know, and the way you talk to people and treat people, and just even the overall demeanor that you have as a leader, you know, matters. And everything you say is a communication, but everything you do is a communication as well. And a lot of leaders don't remember that, or they don't, you know, they don't visualize that I   Michael Hingson ** 09:45 know, for me personally, and you mentioned the whole concept of fear and intimidation, and I've experienced it from time to time for a variety of reasons, being blind and interacting with. People, I faced challenges because people tended to not necessarily view blindness as as they should. And so oftentimes I would have people say to me, Well, you got to work harder and different than everyone else, because you're blind and people aren't going to perceive you as being competent. Well, there's truth to that to a degree, but there are ways to approach that as a leader. And I would think that when you're telling someone all the time, you gotta be better, you gotta be smarter, and so on, as opposed to saying, how do we make sure that you shine as best as you possibly can? And I don't know when I adopted this method of operation, but one of the things that I discovered fairly early on was that as I was managing people, and when I started really hiring people and opening offices for companies, one of the things that I said to people was, look, I'm hiring you because you've demonstrated to me, or you've convinced me that you can do the job. So my job isn't to boss you around. My job is to work with you specifically to see how I can add value to what you're doing to make you the best performer that you can be. And what I discovered is that the people who really got that and understood it and chose to find ways that I could work with them and use the skills that I have, and oftentimes they took the lead in discovering what they thought that I could help with but we worked together, and when they got that concept, they really did perform a whole lot better than those who didn't get it.   Paul Hylenski ** 11:53 That's a great strategy.   Michael Hingson ** 11:55 Well, I think it's and it's important, because I think that fear and intimidation doesn't help anyone, and it doesn't help you or anyone to develop a real trust if you're just dealing with someone out of fear, as opposed to dealing with someone through trust and teamwork, it's a it can be a challenge. Yeah, I   Paul Hylenski ** 12:18 think you know, one of the things that we're finding out more and more and companies are finding out is they never really made significant headway to fix issues or to get real growth because of that fear and intimidation. And I mean, just take, just take mistakes. Right? If I'm afraid to make a mistake, I'm going to lie, cheat and steal my way out of that mistake. I'm gonna blame it on everyone else, but if I'm not afraid to make the mistake, then I'll tell you, as my leader, exactly what happened, and then as the leader, if you know exactly what happened, you can work corrective action and fix it and make the environment better. And that's where the beauty and the secret behind that is   Michael Hingson ** 13:01 well, or the other part of it is because you acknowledge the mistake and so on, the leader will let you do the corrective acting and take the corrective steps that need to be done, because especially that will be a good learning experience for you, but they're there to support you, which is really the issue.   Paul Hylenski ** 13:21 And I think when leaders change their mindset from failure being this negative connotation, and, you know, failure being this bad thing, to, hey, that's just another step towards our growth, you know. But what did you learn from it? Or what are you going to do different, right? All those things, then all of a sudden, people start to realize they're in a growth mindset. They can fail, they can learn, they can proceed, and then they end up growing. Yeah, and   Michael Hingson ** 13:49 I think overall, people really do want to grow. They want to evolve, but the leader is, or ought to be, the person to help really create that environment for people.   Paul Hylenski ** 14:04 Yep, and spot on. I mean, who wakes up in the morning and says, Hey, I'm going to be a loser today. I'm going to be a failure today, right? Nobody, so. But people fail, and people might not get something, they might not understand something, and you're spot on. The leader has to be the one that's their cheerleader or their coach or their mentor or giving them direction on Hey, you didn't really do well on this, but this is what you need to do next time. Similarly, a different way, or   Michael Hingson ** 14:34 you didn't do well. Do you have any idea of why? Because it's always great if you can figure it out. You know, I have worked with guide dogs since 1964 and it took a couple of dogs for me to develop and begin to articulate this. But what I learned is that every time I got a new guide dog, and we would spend time at the school or whatever, what I. Really doing there is beginning the process of creating a bond with a new teammate. And no mistake, dogs are as much a part of a team as anyone else. If you allow that to happen, most people really look down on on dogs, but the reality is that they have a lot of senses, and they have a lot to contribute. And the thing is, if you believe people like Cesar Milano and so on, the thing is, dogs really want to be a part, and they really want you to tell them what you expect from them. And in that sense, it's really cool. They don't have hidden agendas like people often do. And so the difficulty with people with hidden agendas is it makes it more difficult to trust them, and sometimes you can break through that. And the hidden agenda isn't such a hidden agenda that isn't necessarily a negative agenda at all, but we tend to be very closed in terms of trusting others, because we're always concerned about what hidden agendas they have. Dogs, I believe, do love unconditionally, but I don't think that they trust unconditionally. But the difference between a dog and a person is that a dog is generally more open to trust, unless something just really hurt them, which is something typically that it would be a person who did that. But dogs are open to trust. And if you create that trusting relationship, it is second to none.   Paul Hylenski ** 16:34 That's that's interesting. Know that?   Michael Hingson ** 16:38 Yeah, they The reality is that they want to please. They want to do a good job. So I've learned over the years working with guide dogs, it is an extremely stressful job for them, because they want to please. They want to make it work. And they're being tested whenever, for example, the harness is on, even when it's off a lot. But when the harness is on, they watch, and have to watch a lot what's coming up at the street corner, the curb is coming up. I got to stop at the curb and make sure that my person stops at the curb. I tell the dog to go forward, and the dog sees there's a hybrid car coming, and I don't know it, because it's in battery mode and so I don't hear it, but the dog, if I create a good, teaming relationship with that dog, the dog knows that it has the authority to not budge to make sure that we don't get smushed by the car. Likewise, if everything is fine, then the dog will go. But the dog has a lot of decisions to make in the in the guiding process. They don't lead, they guide. It's my job to know where to go and how to get there, and I need to learn that as I travel and make that happen. And the neat thing about it is that when the dog understands I'm doing my job, it feels a lot better about doing its job, and it knows what its job is. And in reality, what that ultimately means is that we form a good team, supportive relationship. And I think that is something that because just as relevant in person to person, leadership and teamwork as it is in person to dog relationships, oh sure,   Paul Hylenski ** 18:27 the ability to trust each other and feel safe with each other, absolutely. Yeah. So,   Michael Hingson ** 18:33 so you've done a lot. What got you started in dealing with AI? What? What attracted you to that? Yeah,   Paul Hylenski ** 18:40 yeah. My fourth book was actually titled The evolution of leadership. So aI had just kind of started coming online. I started researching AI, and then I thought to myself, Okay, well, now that I've researched it, I'm going to start actually using it. And then I went to actually input it into a few businesses, and once I realized, like, wow, like, I could automate 50 to 60% of the business with AI. And I started noticing, like we had time to be proactive, not reactive. Then, then I realized, okay, I'm we're on to something most anybody. If you ask them about AI, they're just going to say, chat, GPT. But there's, you know, 1000 different platforms. There's AI automations. So I thought, Okay, people just don't know. And, you know, the more senior people are, the least, the less that they knew about, you know, AI and chatgpt and everything. So I thought, Okay, well, the, you know, baby boomers and a lot of the you know, millennials, they're running companies right now, or they own companies, but they're the ones that are not able to really use AI or new AI. So you. Know, I've really tried to put a focus on teaching practical AI. So not just the, not just the theory and all the, you know, school type of material, but actually how to utilize AI to benefit you and your business. And that's been, you know, really fantastic since we kicked the academy off, we've gotten formally accredited. So when you take, you know, certifications, one thing that's different is a lot of places you'll take AI certifications, and you just get a little certificate, but no credits, and it's not formally accredited. And that was one thing we put a lot of attention into because as business professionals, the whole point of taking training is to grow in your, you know, career and grow in your job. So, you know, accreditation and credentials matter. But, yeah, that's what got me started, and then now it's become a passion. I, you know, I do free training for veterans. We actually even started a software as a service to help veterans put their disability claims in and streamline that process. So it's been it's been really fantastic. AI has opened up a lot of opportunities. How does AI   Michael Hingson ** 21:18 help in that whole process of doing the claims, applications and so on. What does it say? So it's   Paul Hylenski ** 21:23 absolutely great. So this was our startup company, which was a derivative off of Quantum Leap, and it's called vet mentor AI, so we'll be releasing it towards the end of the year, and we've already used, utilized it on, you know, test veterans, where they've actually allowed us to help them put their applications in. So the problem is that, you know, for first time submittals for veterans, it's a 70% rejection rate rate, so a lot of veterans either don't know what to do, or maybe they're afraid to do it. And then one of the big things is PTSD and anxiety. There's a fair amount of veterans that really have high anxiety, or maybe have issues from their PTSD, where this process is daunting and the fact of going in front of a medical examiner is almost impossible for them. So the way it does it, or what it does is it allows the veteran to basically in plain language, right? What's wrong? So they'll fill out a very simple form. It's something that you know, someone with basic education can fill out, and it's basically a questionnaire. And then we have a proprietary AI software that we actually built that analyzes all that data, and then it's trained on the VA rating manuals. It's trained on the VA forms, the VA website. And so what it does is it actually tailors the person's claim to the VA rating manual. And by wording it like that, it actually allows the veteran to get this comprehensive report, which even asks the person, Hey, did you have this medical documentation? Did you think about filing for this secondary claim and and so then the second part of this is we actually built an AI platform to allow the veteran to do a simulated CNP exam. So what a cmp exam is, it's a medical exam where the veteran has to go in and actually get examinated, and you know, then that that doctor will determine if they, you know, meet the criteria. So what we've done is we've actually utilized AI and allowed them to do their medical examination with an AI. It even has a voice, so that they can talk to it like a person and imagine and this has been wildly successful for our veterans that have high anxiety or PTSD, because they're able to practice their their CNP exam, and you know, it will critique their answers. It will let them know, you know, what, what their rating would be, and all this thing in the background. And it's really amazing, because then when they go in for their real one they've already practiced, and they are less anxious, they're less nervous about it, and they make better decisions. So the one great thing, and I'm so proud of this, because being a veteran, this was something that was really hard for me, was, you know, submitting my disability claims, so the average failure rate is 70% on the first time submission but with vet mentor, all of our veterans, we are currently at an 80% acceptance rate on first time submittals. So we've flipped the strip the script, and you know, instead of a 30% approval rate, we're up to an 80% approval. Boring and   Michael Hingson ** 25:01 it's interesting, because what I'm really hearing is that, to a large degree, the AI system is helping to train, much less helping to create the actual information that has to be submitted. So it's kind of a double pronged approach to solving a problem,   Paul Hylenski ** 25:20 yeah, and it's, it does it. It prompts them for, you know, something simple that I never realized in the beginning of the process was a personal statement. So it helps them to actually generate a personal statement about their illness or injury or disability. And then, even more than that, it prompts you to put it in the proper form. So most veterans don't know, but if you don't upload your personal statement in the 4138 Bravo form, they actually discount it. And there's a lot of veterans that are are submitting just a Word document with a little handwritten thing, but it, you know, the AI, actually, when we started doing this, the AI picked up that, hey, this must be done in this form. And when we were looking at it, we were like, Oh my God. We didn't even know that. So the AI taught us when we were actually making it   Michael Hingson ** 26:13 well. And how long have you been doing this? So   Paul Hylenski ** 26:17 we've been doing this for four months. Little over 20 veterans. So we're in the middle of, we're in the middle of the end stages of, you know, building the rest of the site and the platform. We basically, when we started, we kind of had three or four different types of AI systems talking to each other. So we're actually building and consolidating it just into one that's a nice little format for a user. And the beauty part with with our software is it's a one time lifetime fee, so you pay $50 which covers the cost of the AI software in the background, and you have it for life. So as your your disabilities get worse with age, because we all know they do. You have the software for the rest of your life, and it's for only $50 which is starkly different than the A lot of the companies out there, which you know they're preying on veterans. And what they do is they take 1000s of dollars or percentages off of their disability every single month. So that's one of the things that we wanted to do when I made this company. It wasn't to make money, it was to impact the world. So that's why we keep it just as a lifetime fee, just a $50 one time, and you're done. So the veteran basically just pays for the software is   Michael Hingson ** 27:43 bit mentor, a nonprofit like a 501 c3 company. So no,   Paul Hylenski ** 27:47 we're not right now. We haven't done any of that yet, just because we want to build the platform,   Michael Hingson ** 27:54 it's fair. Um, you've got to start somewhere, needless to say. So   Paul Hylenski ** 27:59 we've helped. We've helped over 20 veterans so far. So that was the big thing, was we get we got veterans in the beginning that we're like, Okay, well, let's try it out. And then, you know, we've done a couple pitches. We've, you know, been getting investments in, in the platform and everything. And the intention is, you know, I want to roll this out nationwide to help veterans. There's a little over a million pending disability claims right now, and if you just go off of the you know, the standard statistics, 70% of them will get rejected. Yeah, and that is a horrible thing for a veteran who maybe is having trouble at work, or maybe their disability is impacting their ability to get promoted and and to have to go through that after they've honorably served the country. You know that I'm trying to fix that?   Michael Hingson ** 28:53 Do you see expanding this and also working with people who aren't veterans by any chance?   Paul Hylenski ** 29:01 So we haven't thought of that. But that is a great idea. I was actually so we, we're in the VA Pathfinder system, because my intention in the beginning was actually to partner with the VA, because imagine a VSO, or, you know, one of the members from VA who are helping the veterans have this tool to help them. You know, I think that would change the game too   Michael Hingson ** 29:26 well. I'm thinking, for example, there are a lot of people with disabilities who have to navigate and interact with their state rehabilitation systems and so many other things that might very well benefit from what you're doing and also who will learn a lot, and that will help them with their confidence as well, which is kind of what prompted my my question, and my thought about it like   Paul Hylenski ** 29:50 we haven't yet, but you got my mind thinking now, and you know what happens when that,   Michael Hingson ** 29:54 there you go, yeah, well, that's, that's always, that's always a good thing, not. A problem. So when you started really integrating AI into healthcare and doing the things that you were doing, what kind of challenges did you run into, or are you running into?   Paul Hylenski ** 30:13 Yeah, the first one was when I started integrating it into business, I met a lot of resistance, because people don't understand it. So even something as simple as chat GBT, right? Just go real basic into AI. Chat GBT. There's so many people right now that either haven't used it or are not using it or don't even know all of the things that it can do. If you have a business, if you're a business owner, if you're a manager, if you are doing office clerical work, chat, GPT can probably boost your productivity just by 30% and you know, I mean instantly you will feel the benefit. I use it to write emails. I use it to do charts, data analysis. You know, there's a there is so many uses. You know, you can use chat GBT to build a game show that then you can use that game show to go train people on Excel. I mean, it's amazing the amount of limitless things that you're able to do with it. But chat TBT is literally like one grain of sand in the beach that is AI, and most people don't know that. You know, there's another platform that's make.com it literally builds automations. So this call our podcast right now, you could have an automation that it would literally transcribe the the podcast, then it could send it into four or five different directions. We could do Google Doc, we could do a Google sheet, we could put a summary about it. It would do everything all in one just by hitting one button. And so businesses are starting to use this because it's automating most of the clerical work that they do.   Michael Hingson ** 32:04 I know that I'm not using AI nearly to the extent that I could even chat GPT, and part of it has been that I've found some inaccessibility issues in some of the buttons that aren't labeled and so on. So gee, maybe I'll have to talk into giving me a better lesson on using some AI stuff, but I appreciate and understand the concepts of it, and so I know what you're saying, and I've used it to write articles in the past. And what I do when I when I bring AI or chat GPT into it, is I'll tell it to write something, and then my job is to look at that and massage it and make it my own and add my own stuff to it. And in fact, I've I've actually told chat GPT to create something, and I've told it to do it six or seven times, and I take the best of all of those, plus what I contribute to it, and turn that into the article that I actually publish. But the I think the most important part about it is that I really know what it's it's doing, and what I'm doing, and I know that I have to be the one to control it. I can't just go off and let chat, GPT create something and then submit it. That's not only worthless, but it's it's certainly dishonest. I've said many times. You know, teachers talk about students that use chat GPT to write their papers and all that, and then they turn them in, and sometimes you can tell that they're written by chat GPT, and sometimes you can't, but teachers are worried about that. My reaction, and I have a secondary teaching credential, so I do understand something about all this. But my reaction is, I think that for chat for teachers, chat GPT is great if kids go off and write their own papers, great if they use chat GPT to do it. Great because at the end of the day, you turn the paper in, and then the teacher calls you up during a period and say, not offend your paper, you're going to know real quickly who really did the work and who didn't. Yeah,   Paul Hylenski ** 34:11 and, and, you know, you brought up some good points there, right? So I have a, I have a colleague on LinkedIn who's the AI educator, and so what he actually has done is he's put a lot of AI into education, and there are softwares that a lot of teachers are using now that actually detect chat. GBT, yeah, detects AI. You know, one of the best things that people can do, and this is something that most people know nothing about, but you can actually create a digital twin of yourself, and it's very easy to do on open AI, so you can create an assistant that's actually trained on how you write, how you sound, right? And so this, we did this very easily for me, where I. Downloaded all of my posts, all of my interactions, and everything from LinkedIn, and I trained it on all of my books. So what happens is is you literally have an AI system that talks like you, has your same tone, has the same humor that you do. And when I do my posts and everything I do kind of the same thing you do, where I'll have my digital twin create the post and then I massage it or whatever, or go through it and read it. But what I've found is definitely for automations and definitely for email writing, these digital twins that you're able to create for particularly marketing as well. They're pretty spot on. I mean, you would have a hard time telling the difference between my digital twin and my writing. Of   Michael Hingson ** 35:48 course, you're leaving yourself open to the obvious question, which one are you the twin or the real person? But that's okay, yes,   Paul Hylenski ** 35:56 that's a good one today. Are   Michael Hingson ** 35:59 you a robot or not,   Paul Hylenski ** 36:01 no. But people don't realize that. And you know, the beauty part of it, Michael is like, so if you own a small marketing company, I mean, you could create 30 to 60 days of content in literally a couple hours. If you have a digital twin, and it changes the game, because you're able to scale businesses, you're able to do things. You can set automations up. You know, on some of my emails, particularly my personal emails, depending on what is in the email, I have automations where the AI actually responds to the email and it sends it to my drafts and then, so at the end of the day, we do as I look at the draft email. I click it, I click it, I click it up. I don't like the way that read it. I'll delete that and write it for real. But for the most part, I'd say it's about 90% perfect. And you know, I took, I take maybe about two hours of emails and turn it into about 1520 minutes. And so then it gives me an extra hour and some change every single day just on that task.   Michael Hingson ** 37:06 So here's a question, actually. So you do the process that you just described, and you go off and you massage some of the emails because you didn't like the way your twin created them. How do you then make sure that your twin gets trained on your changes.   Paul Hylenski ** 37:23 Plus, you know, I mean, you That's exactly it's the whole point is you have to what I'll do is I'll basically copy and paste the email, put it into my digital twin and say I did not like maybe the word, a couple of the words they used, or I didn't like the tone of this email, and so that's the beauty part with chat. GPT, yeah, and you know, any, pretty much, any, AI, the whole point of it is fine tuning it, so you have to, but most people don't realize that you can talk to the AI because it responds. So like, if you say, I don't like this, it's not going to do that, and it's so important, and one of the hacks that a lot of people don't do. So when I create something, let's say a business plan or a coaching plan, and I'll create it, I'll ask chat GBT to critique it for me and then improve it. So now I have it created, then I have it critique it and improve it, and pretty much, at the end of that, I have a pretty perfect document. And that's changed a lot of the the ability that I but most people don't realize you can actually have it critique its own work,   Michael Hingson ** 38:36 yeah, and that's and that's the reason I asked the question, because that's really the whole point. It is a, it is a process, and AI is opening so many things. I work with a company called accessibe, and accessibe uses AI and what's, what's called a, well, it's, it's a, it's a process where it can generate the code that will make a website more accessible, called an overlay. Some people say they don't work and so on, because they believe that you got to manually code it. But in reality, I can find manual coders who don't always do a good job. But what accessibe does is that they have created a system out of necessity. They're in Israel, and in 2017 Israel said, websites need to be accessible. And these guys that all started this company in 2015 and the company was making websites for people, well, suddenly they had to make everything accessible. And they created an AI process that does a lot of that. It's expanding and it's improving over time, because there are things that it it didn't do well, and there are things that it will get better at as it goes forward. But the fact of the matter is that it does help make websites a lot more inclusive than they ever were. So for example, if you're a person with epilepsy and you go to a web. Site that uses accessibe, and there are blinking elements on that page that could cause you to have a seizure. You can go into a particular disability profile on accessibe That's for people with epilepsy, and disable those blinking elements. And the way it all works is that accessibe's widget transmits the code not to the website and modifies the website code. It transfers the information directly to my browser and and my browser and my screen reader that verbalizes to me doesn't care where the code comes from, as long as it's there. So it's really pretty clever, and it and it's and it's making quite a difference. It's got a long way to go, but AI is new autonomous vehicles have a long way to go. They're pretty new, but they're getting better. So it's, it's a process, right?   Paul Hylenski ** 40:52 We're at the beginning of this, and it's, you know, starting to really grow. And so, like, you know, people, people just, you know, a lot of people are still resistant to it and, and there's good reasons for that, right? I mean, this is going to be very dangerous as much as it's going to be good, right? I mean, with the deep fakes and all the ability that you allow people to do with it, they but there's that much good with it too and knowing it. And once you start knowing it and knowing what to look for and learning it and everything, then you can start to pick up on maybe some not so good ways of using it, or, you know, the ethics about it, or, you know, the transparency about Yeah, how do   Michael Hingson ** 41:38 you balance the technological innovations and the ethics in, in what you do, yeah,   Paul Hylenski ** 41:45 for me, so that's part of what we teach in the academy. So like, the first and I have five levels there. Each level goes up, but in, in the first level, it's all about, like, AI and business. So there's a fair amount of, you know, ethics, transparency and everything about proprietary data, not putting certain data into it, you know. So for me, it's that is the biggest key, because especially with vet mentor, you know, you're dealing with really touchy areas, medical information and everything. And, you know, while it's kind of sanitized because of our process, you know, it's still it's new. And, you know, and with anything new, there's going to be some type of resistance, there's going to be questions, and people with the lack of information, they make up their own, right, and that's where you get a lot of the confusion about AI right now, but I think it's important to realize that, you know, this is new, so you have to tread carefully. And you know, the best way to actually protect yourself is to educate yourself, yeah, um,   Michael Hingson ** 42:55 and, you know, the internet and itself, it's got the dark web, and the web that's not so dark, and there are, there are going to be people who will misuse it, but what we we need to learn is how to bring ethical decisions into it, and over time, hopefully, we can bring down a lot of The the so called Dark Web, and let people know or or get people to understand that's inappropriate behavior. And I think the same thing with AI. And yes, you're going to see people who get fooled. You're going to have a lot of challenges, but there is so much positivity that can come from it that is is even more important than the negative parts,   Paul Hylenski ** 43:41 yep. And I think, you know, there's, there are companies out there, because I've talked to a couple of their CEOs that are actually building AI systems to detect negative AI, right, like, so they can detect the deep fakes and everything. And, you know, AI the one, the one touchy thing that it's done so in the in the past, you know, before the internet and everything, if somebody wanted to steal from you, they had to walk up to you and steal from you. They had to pick pocket you, or actually rob you. So you got to see the person's face as they were taking something from you. When the internet came, you had hackers that had no face, right? He was just this person on the other end of the computer, and they could steal your information or steal your money. Well, the problem with AI in this manner is, and why we have to be careful and we have to protect against this is, now it's your daughter. Now it's your husband, your wife, your boss, that comes on the screen and says, I need you to make this transfer. I need money, right? And it's really the thieves, but they've been able to clone, you know, your family member, so now the people stealing from you look like and sound like people that. You care about, and that is why it is getting drastically more difficult to identify some of these, you know, really tough ways that it's being used. So I'm excited to see the innovation that keeps us going to come out, you know, with some of these companies to actually screen for those deep fakes, because then I think once you can get rid of or regulate some of that negative usage, then people really will just focus on the positivity that it gets.   Michael Hingson ** 45:29 Yeah, because the reality is that it can be so positive for everyone, and that if people really learn that and catch on to it and ethically use it, there's, there's no end to the capabilities and the positive things that they can bring about.   Paul Hylenski ** 45:48 I mean, you have 10 year old children now coding websites because they've made it so easy they can literally type in to code a game. People are making their own games. You can go on Claude AI and literally make a web application. Just by saying, make a web application for a loan calculator. So you can create anything in the world. And before, I used to have to know how to code if I wanted to make something like that. Now I just type in what I want, and it spits it out,   Michael Hingson ** 46:20 yeah, yeah, and it's it is going to get better, which is really what makes it so cool. And I hope that people will catch on and understand that being positive and doing it ethically really is better and worth more than than the alternative.   Paul Hylenski ** 46:39 And I think so too. I think once we figure ways to have the AI protect against the AI, I think, I think it'll be even better, too. And, you know, I'm excited, because from the students that I've had in the academy, so many people from beginner level to where they thought they knew, you know, they thought they knew chat GBT. They thought they knew automations. It's been great because you see the light bulb click on, when some people are like, Oh, my God. Why was I taking a week to do that? And you just did it in five minutes. And you know, our level four is where you actually learn how to build a software as a service. And you know, our students walk away with a fully functional AI business. And there's not many schools, there's not many academies that you'll ever walk away with actually real practical knowledge or a real business.   Michael Hingson ** 47:38 Yeah, and that's what makes it so cool, and it it certainly helps to empower people a lot, doesn't it?   Paul Hylenski ** 47:45 Yeah, I mean, we had a school teacher build a CRM platform that then she took and she went and sold it to five different companies, and they're using her platform that we built in two days with AI, it was so crazy. And she's like, I never thought I'd be able to do something like this. And it's true, because five years ago, she would have never been able to do that, because that wasn't her specialty. Right now, you know, she built a fully functioning Software as a Service, and it was, it was the most beautiful thing to see. Her eyes light up at the end of it, where it was, like, I just built this.   Michael Hingson ** 48:24 Yeah, it is so cool that she's recognizing that she's still the one who did it and she used tools, but she's still the one who did it,   Paul Hylenski ** 48:34 yep, yep. And it's, that's really what's amazing is you can, you know, you show people, I bring up, you know, a lot of examples, but most, most people don't realize what they actually have the power to. And a lot of people come on, especially the level one people come in and say, I can't learn this. This is just so hard for me. And then once you start breaking it down to a very simplistic level of, hey, this is how to prompt. This is how the system reads your words. And once you understand that, then everything else starts to make sense. And it's so beautiful, because you have people, you know, creating things they never thought they could before, yeah. And   Michael Hingson ** 49:20 that's what makes it so fun. And people do want to be creative, which is great. You've written several books. I know one you've written. I'm intrigued about. We haven't discussed it yet, error proofing, humans Tell me about that.   Paul Hylenski ** 49:33 Yeah, so error proofing, I love the title. Oh, it's great. And, you know, I got so many comments on that so that book, actually, I'm so proud of it, because it was an Amazon bestseller. You know, I've been on a book tour with it and everything. So I originally brought that book up because I thought, okay, error proofing humans there. So everybody you know commented and said, You can't error proof a human. That. Is the whole point of the book. So every human in the world makes anywhere from three to five mistakes per hour, if they're trained on a topic. Now that goes up by 11 times, potentially if they're they're not trained. So you have people every day making mistake after mistake. Now, most of them are what they call micro mistakes, and they're detectable, right? So you can detect, okay, I typed in the wrong letter, so I hit the backspace or whatever. But when you're doing some tasks, if you have that many mistakes, sometimes you don't detect them, or sometimes you can't correct them, and that's when we have accidents and injuries and everything. So the whole point of the book is, what if you could error proof processes and finally make an error proof human so what we do is we follow, and I did all the in the book. It's all the science and psychology behind human error, how to eliminate it or mitigate it. And one of the one of the key strategies that I'll leave with, like your viewers and listeners, is the Swiss cheese method. Now you can use this in your in your house, you can use this in your business. And it was made up by air, created by a guy named James Reason. And what he said was every process was like a piece of Swiss cheese. It had holes that the error or the accident could go through. So the only way to truly error proof human is to layer peace upon peace upon peace. And every failure you have means that the process isn't robust enough, so you have to add another layer of process. And what happens is, after a while, just like pieces of Swiss cheese laid up on after each other, the holes don't line up after a while, and all of a sudden you have error proof humans. And so we've done this in multiple businesses, and it has transformed their quality numbers. It has transformed their safety numbers. And what happens is, and when you can get people behind things like this, you know, you change the entire culture of the of the company or the business, or even at home. You could do these things that I say it in the book. You can do this with your children. You can do this with yourself, right to to make less and less mistakes. And you know, one of the things that a lot of people don't realize too, one of the other key main things, and then I'll get off the book, but one of the key main things the book is, you know, a high frequency, low risk activity like walking. So 30% of all injuries in a workplace are slips, trips and falls. And you'd ask yourself, well, how come people can't walk? Well, they can walk, right? But, well, I don't look at my feet when I walk, because it's a high frequency low risk, so my mind becomes immediately complacent. But if I were to drive a fork truck, or, let's say, operate a crane with a heavy load, every little sound that thing makes, I'm going to be on super high alert so people don't typically get injured on those high risk, low frequency jobs. So what you have to do in a workplace is you actually have to change the risk dia or dynamic to make it feel more risky. And by layering process after process, and sometimes check after check, you increase the risk profile, which decreases complacency,   Michael Hingson ** 53:44 yeah, which makes perfect sense, doesn't it? Yep, and, and I think that that in reality, we take so many things for granted. Gi, I don't know. I think there are a lot of drivers out there who consider driving like walking. It's high frequency and low risk, and it's not. And the way they drive, though, you'd think they think otherwise, yep,   Paul Hylenski ** 54:06 and that's why there's a lot of accidents, you know, but, and you know, there's a study that said the most accidents happen closer to the person's property, closer to the person's house. And you know, when you look at that, it's because I'm getting closer to home. I'm comfortable with the area. I become more complacent, and now I might run through that stop sign, or I might, yeah, make that turn a little faster than normal. So it's it's really important in an environment, and as we as leaders craft our environment. We need to look at the risk profile. We need to look at our processes.   Michael Hingson ** 54:47 It's also true that what we have to do is to learn to be more disciplined about what we do. And I think that's a lot of what you're saying. When you get closer to home, you tend to be more undisciplined, but you've got to keep the discipline. Plan all the way through the process? Yeah, absolutely. And that doesn't necessarily always happen. Were you a pilot when you were in the Marines? No,   Paul Hylenski ** 55:10 so I was a, I was actually worked on helicopters in the Marine Corps, and then after the Marine Corps, I said, you know, I want to, I want to fly and and so I got my pilot's license. It was one of the best things I ever did in my life. And, you know, it taught me a lot about complacency, because being a pilot and checklists and everything, the entire cockpit is designed to defeat complacency, yeah, and, you know, but I was telling a story last week, you know, the most deadly time for a pilot is between 250 and 500 hours. And you think to yourself, again, these are experienced pilots, like, why would somebody, you know, be more dangerous than than a brand new pilot? And it's because of that risk protein as a brand new pilot, everything matters. I'm going through every single checklist item, every noise that the aircraft makes. I'm hyper vigilant. But after about 250 or 250 to 500 hours, now I'm confident. I'm used to the plane. I'm we might skip my checklist, I might do something riskier than normal, right? And that's the complacency death trap, right there.   Michael Hingson ** 56:28 Yeah. And so after 500 hours, you have done it enough that, in theory, it dawns on you. I've got to stay disciplined. I've got to do this the right way, like I did at the beginning, and it makes me safer, and it makes the flight safer.   Paul Hylenski ** 56:45 Yup and, and sometimes, and a lot of pilots have told me that sometimes during that little 250 to 500 you have a lot of near mistakes or mistakes that you learn from pretty quickly. Yeah and, and then that's enough for them to say, Yep, I gotta break myself of this. Yeah,   Michael Hingson ** 57:05 exactly, right. Well, and we're we're seeing so many things at airports now. It's crazy. I don't understand how so many airplanes either collide with each other, or other equipment collides with them and so on. How come we're seeing a lot more of that than we used to   Paul Hylenski ** 57:22 think. Well, I have to be honest, I think as the travel keeps getting more and more, right, you're going to probably see a lot more of this, because it's taxiing. So taxiing for a pilot is at one of those low risk, yeah, high frequency things, right? I'm just, I'm literally down, I'm not in the air. You feel safe because you're on the ground. You're, you know, you're steering it. And a lot of times, they're also very task saturated while they're taxiing. Yeah, so one thing most people don't see is while they're taxiing, they're going through checklists, they're prepping. And, you know, you don't have a good view of around you in the cockpit. You only have a window that you really can't see in the back. And you know, so the reduced visibility, the high you know, high task saturation, and then that, you know, high frequency, low risk. It's perfect environment for complacency to crop up   Michael Hingson ** 58:20 well. And the reality is, a lot of times it's not a pilot's fault that something happened. They're also relying on other people, whether it's air traffic controllers or whatever. And so there are just a lot of issues, and I think that it is something that hopefully National Transportation Safety Board and the FAA and so on, will work more on to try to eliminate more of those accidents. I have a friend whose daughter went on a vacation last Saturday with her husband, and as they were backing away from the terminal, they got hit by some sort of piece of equipment, and it to late, everything by a day. I don't know any of the details, but just so many of those things happen. We we've got to not allow things to be taken for granted. But I, I would not at all say it necessarily wasn't any way a pilot error, because there's no way to for me to know that, and it probably wasn't, but it still happened, which is, which   Paul Hylenski ** 59:19 is, there's humans everywhere. So humans are prone to mistake. And you know exactly the point of the book is, you're never going to error proof a human, but you can air proof processes. Yep,   Michael Hingson ** 59:32 you can do that. Well, if people want to reach out to you and learn more about you, what you do, maybe become involved in your courses and so on. How do they do that?   Paul Hylenski ** 59:41 Yes, so the best, and I love for people to do this. I have a fantastic network and a community on LinkedIn. So the best way to reach me, and you can reach me personally, is through LinkedIn. Just look up my name, Paul Hylenski, and then if you are interested in. Learning. Ai Mike, it's Quantum Leap Academy. So it's www, dot Quantum Leap academy.org, so it's gonna be.org yeahlin ski   Michael Hingson ** 1:00:12 for me,   Paul Hylenski ** 1:00:12 please. So, h, y, l, e, n, s, k, I,   Michael Hingson ** 1:00:17 so, Paul Hylenski on LinkedIn, which makes sense? Yep, and that's it cool. Well, I want to thank you for being here and being a part of this today. It's been educational for me, and it's been a lot of fun. I value the time that we spent, and maybe in the future, if you think we ought to talk some more, I'm always glad to do that. We can, can do more of this, but I really appreciate all the sound knowledge and advice that you shared, and I hope everyone out there listening and watching appreciated it as well. Love to hear from you. If you would let us know what you thought about our podcast today, you can reach me through email, Michael M, I, C, H, A, E, L, H, I at accessibe, A, C, C, E, S, S, I b, e.com, or go to our podcast page, www dot Michael hingson.com/podcast, Michael hingsons, M, I, C, H, A, E, L, H, I N, G, s, O n.com/podcast, wherever you're listening, though, we hope that you like this well enough that you'll give us a five star rating as a review. We really value your reviews. We love them. Please give us a review. And if you've reviewed us on earlier podcasts, don't stop. We'd like to hear it about this one too. We really look forward to your comments and your thoughts. If you know of anyone who ought to be a guest, and Paul you as well. If you think of anyone else who you think ought to come on our podcast, we'd love to hear from you. We're always looking for new friends to make and new people who have stories to tell. So feel free to do it, and we, we'd love to to hear from you in whatever you do. So Paul, again, I want to thank you for being here. This has been absolutely a lot of fun and and I hope we get to do more of it in the future. Yeah. Thank   Paul Hylenski ** 1:01:59 you so much. I really appreciate the opportunity, and this has been great. Thank you, Michael,   Michael Hingson ** 1:02:07 You have been listening to the Unstoppable Mindset podcast. Thanks for dropping by. I hope that you'll join us again next week, and in future weeks for upcoming episodes. To subscribe to our podcast and to learn about upcoming episodes, please visit www dot Michael hingson.com slash podcast. Michael Hingson is spelled m i c h a e l h i n g s o n. While you're on the site., please use the form there to recommend people who we ought to interview in upcoming editions of the show. And also, we ask you and urge you to invite your friends to join us in the future. If you know of any one or any organization needing a speaker for an event, please email me at speaker at Michael hingson.com. I appreciate it very much. To learn more about the concept of blinded by fear, please visit www dot Michael hingson.com forward slash blinded by fear and while you're there, feel free to pick up a copy of my free eBook entitled blinded by fear. The unstoppable mindset podcast is provided by access cast an initiative of accessiBe and is sponsored by accessiBe. Please visit www.accessibe.com . AccessiBe is spelled a c c e s s i b e. There you can learn all about how you can make your website inclusive for all persons with disabilities and how you can help make the internet fully inclusive by 2025. Thanks again for Listening. Please come back and visit us again next week.

This week Annie finds out who was behind the X (formerly know as Twitter) cyberattacks! We also talk how much money we could be making if we sold out, how different the NYC and LA comedy scenes are, asking ChatGBT more questions, and much much more! New Meat & Greet YouTube Channel: https://www.youtube.com/@UCO45BpqlxJlxygvZRIAYMaA "Welcome to AnnieWood Tour" dates - check them out and catch her in your city! https://www.annielederman.com/shows New Comedy Channel: https://www.youtube.com/channel/UCBF9rPmOPaWbtrZtYQw1vbw And just so you don't forget, here's Todd's YouTube channel:  @officejungle-t7n  https://www.youtube.com/@officejungle-t7n Want more, Annie? Of course you do! Here's where you can find her: MEMBERSHIP: Join the Movement and subscribe to our new Patreon! With uncensored and ad-free weekly episodes, exclusive live-stream content, raffles and giveaways, viewer awards, and more! You don't want to miss all the action happening here on Patreon! https://www.patreon.com/annielederman YOUTUBE: Thanks for checking out my podcast, AnnieWood! Click to Subscribe! https://localast.ro/SubAnnie New episodes every Thursday at 9am PST / 12pm EST! INSTAGRAM: Please give us a follow on our NEW Anniewood Podcast Instagram channel for BTS content and a bunch of exclusive media and live videos! @welcome2anniewood WEBSITE: Head to my website, http://annielederman.com for some kicka$$ merch and a list of all my tour dates! Can't wait to see you all out on the road! OUR SPONSOR (THANK YOU!): Get special discounts from our sponsors using the codes below! Support the show and get 10% off your Hero Bread order wtih code ANNIE at https://www.hero.co Produced and Edited by: Walker Media @toddwalker.mp4 This Video Podcast Contains Paid Advertising. #AnnieLederman #AnnieWood #interview #comedy #podcast

Thank you so much for listening to the Bob Harden Show, celebrating over 13 years broadcasting on the internet. On Tuesday's show, we visit with the President of American Commitment Phil Kerpen about the wisdom of shuttering the Consumer Financial Protection Bureau. We visit with our Florida State Senator Kathleen Passidomo about today's start of the Legislative session and about the possible candidacy of Casey DeSantis for Governor. We visit with Boo Mortenson about Chat GBT and the power of artificial intelligence. We also visit Linda Harden about the Epstein files, Trump's presentation tonight to the joint session of Congress, and the left's continued “Trump Derangement Syndrome.” Please join us tomorrow when we visit with Chairman Emeritus of Cato Institute Bob Levy and Professor Andrew Joppa. Access this or past shows at your convenience on my web site, social media platforms or podcast platforms.

Don't forget to Like & Subscribe to GET SIMPLIFIED!Produced by: @JimChristopherGovea Make sure to visit our sponsors, MASF Supplements/ Violent Hippieuse promo code "SIMPLEMAN" at check out to receive a 15% discount "BE KIND OR ELSE!"Wepsites: masfsupplements.com violenthippie.comInstagrams: https://www.instagram.com/violent__hippie/ https://www.instagram.com/masf_supplements/Simple man instagram:https://www.instagram.com/thesimplemanpodcast/Merch Store: https://www.alvafitness.com/collections/simple-man-podcastXMartial:https://www.xmartial.com/Simpleman Rashguard: https://bteamjj.shop/products/simple-man-podcast-rash-guard Carne Jerky: https://www.instagram.com/carnejerky_/ NEW TikTok:https://www.tiktok.com/@therealsimplemanpodcast?lang=enAnaconda Fightwear:https://anacondafightwear.co/products/anacondakneebrace?gclid=CjwKCAiAlcyuBhBnEiwAOGZ2S6jy4e-hIsOD-_PV8qcvo-8N2YZ9YhZPMY80vCSfhdUT5APLzkcQRxoCnMhiQQAvD_BwEPromo code: https://Www.anacondafightwear.co/SIMPLEMAN15Marekhealth:

Nu för tiden kan man inte omyndigförklara någon längre, men det finns en modern motsvarighet: förvaltarskap. Den som har fått en förvaltare förlorar makten över sin ekonomi och sin rättshandlingsförmåga. Men ibland blir det fel. Ett sådant fall har nu hamnat i Högsta domstolen, där HD ska pröva vad en person som felaktigt blivit satt under förvaltarskap ska få i skadestånd. Dessutom juridiken kring AI. Kan en AI vara en person i juridisk synvinkel? Vem har ansvaret för skada orsakad av AI? Och vad kan AI göra för jurister? Tove har testat att låta Chat GBT skriva juridik och det gick...sådär.

An experienced, accredited college admissions consultant and essay coach, Kate Stone received her B.S. in Communications and a minor in Creative Writing at New York University. She continued as a Princeton University teaching fellow in Asia shortly before starting University Gurus. She transformed her passion for creative writing and storytelling into actionable strategies for the college admissions process, essays, and the application as a whole. Through her program she coaches students to develop and strategize their most powerful narratives based on their individual ideas and achievements. “What we learned from the Harvard admissions scandal a few years back–I looked through all the transcripts out of curiosity–was top schools really value a personal development journey. Elite colleges cannot rely on grades and test scores only. They really want to understand a student's character, drive, engagement, impact and their dreams. As you know, with artificial intelligence, Chat GBT allows a student to plug in some prompts and it delivers a college essay that's pretty good, maybe even better than what they could write themselves. The schools and the admissions people are talking about making their essays much more creative and much more personal. That's where storytelling is going to be even more important. Students have to identify their own focusing lens or thread to hang their content hat on, getting really creative to the degree that AI can't generate an application essay. That's where personal storytelling is going to be even more important. Students will need to ask themselves if they are skilled enough as a writer to best express their values, what's important to them, obstacles that get in their way around those values, are they allowing their true self to emerge, etc. If not, they will need to find support on how to express and differentiate themselves. I don't do the work for my students. I usually spend two to four months helping them dig into themselves and craft their own college entry essays.”

In this itty-bitty episode, Gwen & Kate are in person walking along Bristol Harbour in the sunshine with ducks, geese & passing barges. We chat about ways to turn around that feeling of drifting, boob jobs, the importance of having a destination and focus, being selective about what we say YES to, and how Mel Robin's 'Let Them' theory could change our lives and those around us.Plus listener shoutouts! And some unexpected drinking advice from Gwen's hairdresser. Mentioned in this episode: Mel Robbin's Let Them TheoryOther relevant RUMP episodes: Ep.42 - Vision Boarding: Getting clear about your futureGet a shout-out:Want a mention on the next RUMPette? Tell us your feedback or what you do to make yourself feel good: rightupmypodcast@gmail.com Support RUMP: If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you! Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | Patreon Or, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee! Be social with us:Instagram Facebook TikTok Thank you to our team:Music - Andrew GrimesArtwork - Erica Frances GeorgeSocial Media - Kate Balls

TIME STAMPS:00:18 About Daniel Trevor and inspiration behind writingThe Unholy Trinity /  HEART ATTACK SURVIVOR turned WELLNESS WARRIOR, citizen scientist, and serial entrepreneur who has created several start-up businesses from scratch, including a high-tech CTI (computer-telophony integration) company that eventually grew to over 300 employees and 3000 independent contractors!!!05:18 Why we've been feed a bunch of LIES by leading contributors to the food industry in the 21st century.08:01 How Proctor & Gamble invented CRISCO (with ingredients resembling machine lubrications) and began selling in 1911 spurring the beginning of the second revolution and polluting food quality today as a result.09:54 Spotting and identifying DEADLY OLIVE OILS between HEALTHY OLIVE OILS!16:23 THE GATEWAY DISEASE ( not in the book yet - stay tuned for his revised copy ! ): HYPERINSULINEMIA ( too much insulin in the blood ). This is the ROOT CAUSE to PCOS, ALZHEIMERS, BLINDNESS, and countless other shocking side-effects!21:05 DON'T GUESS. TEST! Why even “seemingly healthy” individuals and athletes should regularly test important health markers, and which ones are the most important to keep track of.22:03 Easiest way to order your labwork through QUEST DIAGNOSTICS. Seewww.danieltrevor.com. 23:09 ENTREPRENEURS and ASPIRING BOOK PUBLISHERS: Daniel's inspiring story of getting his powerful message out where people could find it leading to its success as a BESTSELLER!25:02 Grim reality of the profit margins behind major STATIN-SELLING companies; what science REALLY says about HDL and LDL.28:08 What we can learn about HEART ATTACKS and strokes looking back at the ischemia trial.35:02 How years of eating the wrong foods builds up plaque in your arteries and ult38:14 All about the GLYCOCALYX and its role in PLAQUE BUILDUP.46:01 L.I.S.S. Chris Vilela ( IG @ chrisvlone / Quebec, Canada ), Podcast review (thanks Cameron!) & Richard's BAD-COACH CALLOUT! - GLYPHOSATE, the Shikimate pathway, its link with DEPRESSION & ANXIETY, and how CHAT GBT purposefully distorts data on this topic!57:49 GLIADIN, the more destructive part of GLUTEN, and its MORPHINE-LIKE EFFECTS that creates food addictions.01:01:44 The difference between “the carnivore diet” and “the lion diet.”01:10:13 What to watch out for on ingredient labels at the store concerning LOW-FAT FOODS.01:12:42 Bone-broth fasting.01:15:04 How Chris Vilela & Colt are eating mostly raw wild game (ESPECIALLY MOOSE!) and combining intermittent fasting to maximize nutrient bioavailability and muscle growth naturally.01:20:32 What we can learn from CENTURIONS (people who have lived over 100 years) and why MUSIC and other forms of creative exercises are scientifically proven to build BDNF (brain-derived neuro factors) and how it helps you build new brain cells! Uncovering studies of how workout results were improved by simply listening to music.01:30:24 How to MASTER CONTROL of your own EMOTIONS.For CREATINE, GLUTAMINE, AMINOS & other performance supplementation:Coach Colt's Supplement Store (US):https://supersetyourlife.com/collections/supplementsCoach Richard's Supplement Store (UK):https://theketopro.com/collections/keto-supplementsQuestions for Coach Colt? Your first phone call is free for 15 minutes; I also offer 30 & 60 minute 1:1 consultations and monthly coaching services. Emailcolt@supersetyourlife.com or book here:https://calendly.com/ssyl/meet-greetPURELY TALLOW ANIMAL BASED SKINCARE: Save 10% with code COLT10!-https://f22e68.myshopify.com?ref=colt_milton

Welcome To The Real Oshow, On this show, we hang out with Stand-up Comedian, Writer, and Viral Sensation Sean Millea. We discuss what it's like to be friends with + open for Mark Normand and Tim Dillion. What is the best advice they have ever given him? We also asked if he has ever been close to being on The Joe Rogan Podcast because of his relationship with Tim and Mark.We also dived into artificial intelligence if Sean uses them to find ideas and content. Sean then mentioned that he has been using ChatGBT as a Therapist to make himself feel better. This is an excellent show with plenty of laughs. As always, enjoy the show, and see you next week!All Love, 

The battle for honest money went on for over a hundred years in American history, but the cause was lost in 1913. How did this happen, and what are the biblical standards for honest money? Andy Keusel, producer of a video course on Biblical money, joins us on this edition of the program. These are the basics that every Christian family and all of our children need to understand if we will ever restore honest money to the world. Check out more info at www.biblical-money.com This program includes: 1. The World View in 5 Minutes with Adam McManus (North Korea tortures, publicly executes, imprisons Christians; DeepSeek, a Chinese AI, beats ChatGBT; California ends prosecution of two pro-life activists) 2. Generations with Kevin Swanson

It's Wednesday, January 29th, A.D. 2025. This is The Worldview in 5 Minutes heard on 125 radio stations and at www.TheWorldview.com.  I'm Adam McManus. (Adam@TheWorldview.com) By Jonathan Clark North Korea tortures, publicly executes, imprisons Christians The Database Center for North Korean Human Rights released their 2024 White Paper on Religious Freedom in North Korea. The research is based on the accounts of North Koreans who defected to South Korea. It includes over 15,000 responses and over 2,000 cases of persecution. Ninety-six percent of respondents said that religious activities are not permitted in North Korea. And only 5% report having seen religious items like a Bible.  Yeo-sang Yoon, director of the North Korean Human Rights Archives, noted, “Right now, people [of faith] are being tortured, sent to concentration camps, or publicly executed.” North Korea remains the worst country on the Open Doors' World Watch List of nations where it is most difficult to be a Christian.  Young Brits more likely to have Christian faith than be atheist OnePoll released a survey this month entitled, “Belief in Britain.”  The study of 10,000 people found atheism is losing influence on younger generations. Only 13% of those aged 18-24 identify as atheist compared to 25% of those aged 45-64. Younger people were also the most likely to identify as religious, meaning they worship regularly and ascribe to a specific belief system.  DeepSeek, a Chinese AI, beats ChatGBT DeepSeek, a Chinese artificial intelligence company, released a large language model last week. The Artificial Intelligence assistant quickly outperformed ChatGPT in downloads at the Apple App Store. DeepSeek's app surprised experts, performing better than American AI chatbots despite being produced with less money and computing power.  The news sent the tech-heavy Nasdaq Composite down 3% on Monday. U.S. chipmaker Nvidia led the losses, dropping 17% or nearly $600 billion in market value. It's the largest one-day loss for any company.  Trump bans woke gender ideology from military President Donald Trump signed executive orders on Monday to keep radical gender ideology and diversity, equity, and inclusion initiatives out of the military. Trump noted, “Consistent with the military mission and longstanding [Dept. of Defense] policy, expressing a false ‘gender identity' divergent from an individual's sex cannot satisfy the rigorous standards necessary for military service.” Trump's orders also offer reinstatement for troops who faced expulsion for not getting the COVID-19 shot during the pandemic. Supreme Court considers a religious charter school case Last Friday, the U.S. Supreme Court agreed to hear a case involving the first publicly funded religious charter school. Oklahoma's state school board approved a Catholic church to open a charter school. St. Isidore of Seville Catholic Virtual School was set to begin classes in August 2023. But the state's supreme court ruled against the approval. The case is now before the U.S. Supreme Court. Jim Campbell with Alliance Defending Freedom said, “The U.S. Constitution protects St. Isidore's freedom to operate according to its faith and supports the board's decision to approve such learning options for Oklahoman families.”  California ends prosecution of two pro-life activists Praise God! The state of California agreed to end its prosecution of two pro-life activists on Monday. David Daleiden and Sandra Merritt have faced years of litigation and millions of dollars in fines for their pro-life work. Their undercover videos exposed Planned Parenthood's illegal sale of the body parts of aborted babies. David and Sandra shared the videos through their organization The Center for Medical Progress.  David said, “After enduring nine years of weaponized political prosecution, putting an end to the lawfare launched by Kamala Harris is a huge victory for my investigative reporting and for the public's right to know the truth about Planned Parenthood's sale of aborted baby body parts. Now we all must get to work to protect families and infants from the criminal abortion-industrial complex.” Proverbs 24:11 says, “Deliver those who are drawn toward death, and hold back those stumbling to the slaughter.” Christians minister to victims of California fires And finally, Christians continue to provide relief to those affected by wildfires in California. CBN's Operation Blessing is working with local first responders and churches to bring long-term assistance. In the midst of suffering and loss, pastors are seeing a surge in church attendance. Listen to a comment from Pastor Steve Wilburn of Core Church LA  to CBN News. WILBURN: “We're seeing people come into the church, and we're seeing hurting people. You know, it's been said in times past. You know, if you're going to speak to hurting people, you're never going to run out of people to speak to. But we're seeing people make commitments to Christ. That's what we're seeing.” In Matthew 11:28, Jesus said, “Come to Me, all you who labor and are heavy laden, and I will give you rest.” Close And that's The Worldview on this Wednesday, January 29th, in the year of our Lord 2025. Subscribe by Amazon Music or by iTunes or email to our unique Christian newscast at www.TheWorldview.com. Or get the Generations app through Google Play or The App Store. I'm Adam McManus (Adam@TheWorldview.com). Seize the day for Jesus Christ.

The battle for honest money went on for over a hundred years in American history, but the cause was lost in 1913. How did this happen, and what are the biblical standards for honest money? Andy Keusel, producer of a video course on Biblical money, joins us on this edition of the program. These are the basics that every Christian family and all of our children need to understand if we will ever restore honest money to the world. Check out more info at www.biblical-money.com This program includes: 1. The World View in 5 Minutes with Adam McManus (North Korea tortures, publicly executes, imprisons Christians; DeepSeek, a Chinese AI, beats ChatGBT; California ends prosecution of two pro-life activists)2. Generations with Kevin Swanson

On today's Views podcast, David addresses steroid rumors, Jason gets recruited by the BFF'S podcast and the guys help a bisexual woman with her pickup game. Plus, David has Chat GBT hurl insults at Jason,Jason gains weight while taking Ozempic and the guys discuss the future of AI including what it would be like to have an AI girlfriend. And later, Natalie joins the guys to tell a harrowing story of a fan who broke into their living room. Also, spending $200,000 on bottle service, David's mom sees a medium and David says Natalie gives him the ick.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Title: ACHP Episode 372 – Big Moves and Bold Moves: This Week's Trending News, Sports, and Cigars This week on ACHP Episode 372, we're diving into the latest headlines that are making waves. In the world of politics, Donald Trump declared an early victory after Colombia backed down in a high-stakes dispute over migrant repatriation flights, showcasing the effectiveness of his tough foreign policy. Meanwhile, Super Bowl fever is heating up with the Kansas City Chiefs and the Philadelphia Eagles gearing up for the big game! We'll also touch on a bizarre fuel mix-up in Avon, Ohio, that caused damage to several cars, as well as an adorable moment between Saquon Barkley and his daughter at the NFC Championship Game. For cigar enthusiasts, there's exciting news from the industry! Crowned Heads is revamping its Mule Kick for 2025, El Baton Cameroon Firecracker is set for an August release, and General Cigars has unveiled the new El Rey Del Mundo Shade Grown Churchill. Villiger is also adding a box-pressed Toro to its 1888 Nicaragua line, and Jaime Flórez-Estrada joins Global Premium Cigars while Michael Giannini teams up with Perdomo. And don't miss this week's ChatGBT editorial, brought to you by Leaf and Bean by Island Jim Lounge in St. Augustine, Florida—where I'll be doing a Cut n' Light event on Thursday, February 20th, from 6 to 9 pm. Tune in for all this and more!

Send us a textToday we are talking about one of the ways you can get paid to travel and that is pitching to Tourism boards via UGC content creation. It sounds more intimidating than it is and we have on Roxanne from @travelcreatorCEO to break it down. In this episode we are covering: The difference between a travel influencer and a travel UGC content creator How to effectively pitch to tourism boards and land jobs The 50 pitch UGC challenge: should you do it?Travel UGC content creator mistakes Should we be using Chat GBT to pitch to tourism boards? Why content creators need to start using LinkedIn like yesterdayChapters:01:41 Understanding UGC for Tourism Boards06:40 Pitching to Tourism Boards09:40 Effective Pitching Strategies17:01 Challenges and Persistence in Pitching22:50 Creating Compelling UGC Travel Content26:55 The Challenge of Aesthetic Content27:38 Creating Engaging Content28:08 The Importance of Hooks29:09 Analyzing High-Performing Content31:43 Building a Travel Content Portfolio33:18 Monetizing Travel Content36:57 The Power of LinkedIn for Travel CreatorsNEW: Watch our Youtube Channel:https://www.youtube.com/@TravelContentWritingSchedule a call with me: https://travelcontentwriting.hbportal.co/public/66ddf21fc4f45e00190a4e0e Schedule a coaching call LIVE on the podcast: https://travelcontentwriting.hbportal.co/public/6750837edf524d0027c155ef Want to be featured on the pod?https://docs.google.com/forms/d/e/1FAIpQLScrPYGf4l_wWSGQgul4vY-8DS-5Kloj0owstVehKn9r_oabRA/viewformSign up to be the first to hear about my DIY Content Repurposing Course:https://travelcontentwriting.hbportal.co/public/6711a7aae9d903002c5f3c57/1-Inquiry_formAI Prompts to Grow Your Travel Content: https://www.travelcontentwriting.com/creatorresources/p/aipromptsfortravelcontentcreators FREE Resources:FREE Creator Wildfire Co-Working Community:...

In this cute sized episodette, Gwen & Kate chat about the World Health Organisation's findings that Arts + Culture is good for us. Kate puts this to the test seeing Midsummer Night's Dream at the Barbican and Gwen consults her 2nd best friend ChatGPT about how to manage phone addiction and anxiety, and comes up with a daily routine we'd both love to live by! And Kate challenges Gwen to try it out. Plus listener shoutouts! Including a message from RUMP Patreon Jo Hook, who's inviting us all to take part in fun team fundraising events for Bristol-based charity Temwa, raising funds for communities in Malawi. Kate and Gwen decide on air to do a fire walk! And you're invited to join them. For more information on Temwa's events check out their website. Get a shout-out:Want a mention on the next RUMPette? Tell us your feedback or what you do to make yourself feel good: rightupmypodcast@gmail.com Support RUMP: If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you! Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | Patreon Or, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee! Be social with us:Instagram Facebook TikTok Thank you to our team:Music - Andrew GrimesArtwork - Erica Frances GeorgeSocial Media - Kate Balls

Timdavisonline (00:00.0) All right. It's Tim here. Glad that you are listening and appreciate all the listeners to the podcast. Listen, today I want to talk with you about maybe how you're using chat GPT, but more importantly, one of the ways that we're using chat GPT right now and having some good success. So I'm going go back in time. Many, many years ago, I went to a conference and one of the speakers at the conference talked about the power of disk personality reports. And if you're ever around me for any length of time at all, you'll know that I exclusively use disk in hiring. Timdavisonline (00:30.018) team building, my coaching practice. It really is the center of everything. I see too many people believe that someone's capable of this or that when maybe they're not, right? Or maybe they're a hidden gem and you don't know how much time to invest into them. The disc report to me is everything. Well, in my origination career, I began to use the disc report to identify others, whether it was real estate agents, consumers, and I started to adjust my selling style to what I believed would be Timdavisonline (00:59.692) their preferred way of receiving, right? So D's want really sharp, to the point stuff. I's want more of a relational. S's you need to be more calm with and give them choices. And C's, they're to be very analytical. So I kind of played a game of like when I would go networking or talking to people or get a customer on the phone, could I identify their personality style and then adjust my selling style to how they would best receive it. And so I think I did pretty good over the years on that. Timdavisonline (01:29.344) Most recently with ChatGPT, we've had people that have ghosted us. I'm sure that's never happened to you guys, but occasionally it does happen. And my partner was thinking one day, you know, can't get this guy back on the phone, this customer, and he's going to miss out. Like, I need to know, like, do you want to go forward or you not? Either way is fine, but I just need to get it off my plate. So she went to ChatGPT and she assumed the guy was like a high D personality. Meaning they just want... Timdavisonline (01:57.858) Bottom line, straight into the point. So she said, hey, chat GPT, can you write me a follow up email to this client in the style of a high D personality, asking them if they want to continue the mortgage application or not? And sure enough, boom, chat GPT spit it out. And it was very direct and it was bullet pointed and it was to the point. So she tested it. She sent it to the customer. Within 10 minutes, the customer replied, said, please lock in my loan. Let me know what's next. Timdavisonline (02:27.99) And at that point we realized we were onto something with ChatGBT. We can get ChatGBT to talk in the preferred receiving style of the reader. So if I want copy written to high Ds, I ask it to. If I want copies written to high I's, I ask it to. And so we've been playing around with that and having a lot of success. So I just want to throw that tip out there to you. Cause here's what I know. Somebody in your city is going to get a mortgage today. I don't know if they're going to get that mortgage from you. I sure hope they do, but that's your job. Make sure you're known. Timdavisonline (03:12.032) Call somebody, ask them for that referral, lock that loan in. And if you need coaching, it's only $1 for coaching sessions. One buck. Can't beat it. Theoriginatorsguide.com. Click on coaching, check out the special. Keep listening. Appreciate all you guys. Have an awesome day. See you soon. Bye.

This week our host Brandi Starr is joined by Steven J. Lewis, Founder of the Sydney-based marketing agency, Taleist.  Meet Steven J. Lewis, a pioneering force in direct response copywriting and AI integration. From developing innovative techniques to using AI for audience research and content creation to delivering copy that's 80% ready for publication, Steven is revolutionizing the way we approach marketing.  In this episode of Revenue Rehab, Brandi and Stephen delve into the common pitfalls of AI tool implementation, unveil effective techniques to optimize AI for content creation, and provide actionable insights to enhance your marketing workflow. Get ready to transform the way you leverage AI in your marketing strategies.  Bullet Points of Key Topics + Chapter Markers:  Topic #1: The Importance of Detailed AI Prompts [00:03:53] "If you find yourself starting a conversation with your AI with one sentence, you're doing it wrong. That, that's, that's it. I would like people to check themselves and to know that if they see their employees or team members or whoever it might be typing into a chat, please summarize this document for me. And that is the most they think they can get from their AI. That's what I'd like people to realize. Hang on a minute, we're not doing this right." - Steven J. Lewis  Topic #2: AI as a Thought Partner [00:17:45] "Chat GPT is a Formula one car that not only can write if you prompt it correctly, but can help you with your thinking. So a lot of the prompts that I write for people, like in my course, make Chat GPT your CMO, right? That is a course that is a lot of it is about getting chat GPT to consult to you." - Steven J. Lewis  Topic #3: Custom GPTs and Workflow Enhancements [00:25:44] "And that gives you a richness of response from Chat GBT that you're just never going to get by saying, I'm writing an email to mothers aged over 35 who live in, you know, the continental U.S. you're just never going to get an answer from Chat GPT that gives you the same richness as if you've structured the data first." - Steven J. Lewis  What's One Thing You Can Do Today  Steven's ‘One Thing' is to get started with understanding your voice using AI. “I've got a five-minute course on my website. It's free. You have to give me your email address. So, okay, it's not free. I will charge you one email address in order to take it. But it's a video, so you can watch part of the video first. It will show you how to get chat GPT to write in your tone of voice exactly like you. What if you could make it sound exactly like you? So I've got a prompt that will divine your tone of voice and give that back to you so that you can use that as a prompt to ChatGPT.”  To get started, visit Steven's website and take the mini-course to learn how to make ChatGPT write in your unique tone of voice. This foundational step can transform how you leverage AI for more personalized and effective messaging in your marketing efforts.  Buzzword Banishment  Steven's Buzzword to Banish is ‘passion'. Steven wants to banish 'passion' because, he explains, "because passion is about you. It's not about your customers or your clients. Your clients don't care if you're passionate. If I go to the dentist, I do not care if my dentist is passionate. I care if my dentist is good at his job."  Links:  LinkedIn: https://www.linkedin.com/in/stevenlewissydney/  YouTube: https://www.youtube.com/user/TaleistTV     Subscribe, listen, and rate/review Revenue Rehab Podcast on Apple Podcasts, Spotify, Google Podcasts , Amazon Music, or iHeart Radio and find more episodes on our website RevenueRehab.live  

This week we are joined by Sidney's long time friend, musician and comedian Wic Whitney! We talk extensively about sexy cartoon characters, Disney villains, what kind of furry we would be, and figure out whether Chat GBT has enough bars to be a ghostwriter. This is a celebration of gay love and all things homosexual--and the list might surprise you

TIME STAMPS: 01:32 Critical reflections and recent lifestyle changes made having recently listened to Eddie's recent ketone speeches; what I've learned, applied and taught lately since hearing Eddie's latest content. 03:31 Best places to follow Eddie Goeke and all of his content: IG ed.goeke_  BOOK “CONTRAINDICATED”   YOUTUBE CHANNEL Patreon 05:51 What Eddie eats in a day, and why! 15:38 A long running list of RUMINANT ANIMALS and which ones to consider are best for you based on your BUDGET, your HEALTH GOALS, what TASTES THE BEST; a discussion around the nutrient profiles and practical application of incorporating ruminant animals as the foundation of your diet. 19:55 Local Farms, Auldi's, and other places Eddie shops to make his meat-based lifestyle work sustainably. 26:30 OXALATES: Plant's primary defense mechanism against predators (including humans). Why your life will dramatically improve in an absurd number of ways by removing this compound (even Paul Salidino agrees on this one)p 29:08 OXALATE CRYSTALS - symptoms, anecdotal reviews and testimonials of damaging effects of plant toxicity and proven results of the symptoms being cured because of having removed oxalates from their diet. 35:05 Advice on how to best LEARN from your fitness journey and educate yourself with RELIABLE, COLLEGE-LEVEL BIOCHEMISTRY knowledge so you know why you are achieve the results you are attaining. 44:56 YouTube, CHAT GBT, and other tools/search-engines. 51:02 EVERYTHING YOU NEED TO KNOW ABOUT SEA SALT!!! Best sources, how to identify how much sodium to consume, and how to find the most bioavailable type of sea salt based on your preference and your athletic goals. 52:14 Effects of EXOGENOUS KETONES, ELECTROLYTE SUPPLEMENTATION, SODIUM and WATER consumption during a PROLONGED FAST. 55:00 Critical review of RE-LYTE, L.M.N.T. (ESPECIALLY MALTODEXTRIN), Elevate, KETO-PRO and other electrolyte supplements within the context of ATHLETES and “non-athletic/more-normal-people” lifestyles. 01:01:02 HEART PALPITATIONS - Oxalate dumping, potassium overload, and other root causes of this dreadful symptom! 01:02:11 All about PROLONGED FASTS (PL): Mentality, “what breaks a fast,” and what you'll benefit additionally from eating “one meal per day” (O.M.A.D.) 01:07:18 The science of CARBOHYDRATE ADDICTION, FOOD ADDICTION, and other sensitive topics.More about assessing SATIETY SIGNALS. 01:52:02 Reflection of NATHANIEL GATES, the INBF, and how to truly master a LION DIET CARNIVORE BODYBUILDING PREP and finish it off with a 48 hour fast as the icing on the cake; how to become the most shredded athlete on stage without doing any cardio. E168 - Beating Chron's Disease the Natural Way, with Coaches Nathaniel Gates & Mark Ennis 01:07:02 How to truly identify the difference between REAL HUNGER and a STRESS-RELATED CRAVING (related to boredom). 01:13:49 NIGHT TIME EATING - Why this is NOT A BAD THING. In fact for you it might be best depending on your lifestyle. The main thing is to follow a proper human diet in the first place and that fixes the need to even worry about when to eat. Get your INSULIN LEVELS FIXED! 01:17:02 New CHEVY WALKER TRUCKER CAPS and other merchandise at SUPERSETYOURLIFE.COM ! 01:19:23 The REAL, RAW TRUTH about CARBOHYDRATES and the CARNIVORE DIET. 01:27:03 PEAK WEEK PROTOCOL as a fat-adapted athletes … to add carbs or to not add carbs … that is the question!  01:3045 Carnivore Coach Peter (IG - carnivorecoachpeter *BLUE CHECK*) Top Level Carnivore Coaching Course Sign Up Information !!!  01:34:01 All of the inspiration behind Eddie's new book and what you'll benefit from purchasing it. Perks, generous offers and “free-bee's” you'll get from applying his content and interacting with him. Email: ed.goeke@gmail.com  01:42:03 “Rebels and Ragers” audio  (Chevy Walker Music )  / 4-OH-SICK MUZIK ENTERTAINMENT LLC / IG @soundslitbeatz / @fohsickmuzik [ CLICK FOR OUR MUSIC VIDEO ON YOUTUBE ]

In this semi-sode, Gwen & Kate chat about the the importance of getting enough sleep during Xmas party season, and how being deprived of things during Storm Darragh makes us appreciate them so much more – like washing hands! Taking showers! Kate briefly turns into a white van driver and then shares words of the year from across the globe. Australia winning hands down. Plus listener shoutouts!Other episodes referred to in this RUMPette: Ep.60 - Perimenopause & ADHD – Hormones, HRT and How to get Help with Lisa PaascheEp.25 - Law of Attraction – Manifesting your dreams into reality with Emma MumfordIf you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

The full schedule for Latent Space LIVE! at NeurIPS has been announced, featuring Best of 2024 overview talks for the AI Startup Landscape, Computer Vision, Open Models, Transformers Killers, Synthetic Data, Agents, and Scaling, and speakers from Sarah Guo of Conviction, Roboflow, AI2/Meta, Recursal/Together, HuggingFace, OpenHands and SemiAnalysis. Join us for the IRL event/Livestream! Alessio will also be holding a meetup at AWS Re:Invent in Las Vegas this Wednesday. See our new Events page for dates of AI Engineer Summit, Singapore, and World's Fair in 2025. LAST CALL for questions for our big 2024 recap episode! Submit questions and messages on Speakpipe here for a chance to appear on the show!When we first observed that GPT Wrappers are Good, Actually, we did not even have Bolt on our radar. Since we recorded our Anthropic episode discussing building Agents with the new Claude 3.5 Sonnet, Bolt.new (by Stackblitz) has easily cleared the $8m ARR bar, repeating and accelerating its initial $4m feat.There are very many AI code generators and VS Code forks out there, but Bolt probably broke through initially because of its incredible zero shot low effort app generation:But as we explain in the pod, Bolt also emphasized deploy (Netlify)/ backend (Supabase)/ fullstack capabilities on top of Stackblitz's existing WebContainer full-WASM-powered-developer-environment-in-the-browser tech. Since then, the team has been shipping like mad (with weekly office hours), with bugfixing, full screen, multi-device, long context, diff based edits (using speculative decoding like we covered in Inference, Fast and Slow).All of this has captured the imagination of low/no code builders like Greg Isenberg and many others on YouTube/TikTok/Reddit/X/Linkedin etc:Just as with Fireworks, our relationship with Bolt/Stackblitz goes a bit deeper than normal - swyx advised the launch and got a front row seat to this epic journey, as well as demoed it with Realtime Voice at the recent OpenAI Dev Day. So we are very proud to be the first/closest to tell the full open story of Bolt/Stackblitz!Flow Engineering + Qodo/AlphaCodium UpdateIn year 2 of the pod we have been on a roll getting former guests to return as guest cohosts (Harrison Chase, Aman Sanger, Jon Frankle), and it was a pleasure to catch Itamar Friedman back on the pod, giving us an update on all things Qodo and Testing Agents from our last catchup a year and a half ago:Qodo (they renamed in September) went viral in early January this year with AlphaCodium (paper here, code here) beating DeepMind's AlphaCode with high efficiency:With a simple problem solving code agent:* The first step is to have the model reason about the problem. They describe it using bullet points and focus on the goal, inputs, outputs, rules, constraints, and any other relevant details.* Then, they make the model reason about the public tests and come up with an explanation of why the input leads to that particular output. * The model generates two to three potential solutions in text and ranks them in terms of correctness, simplicity, and robustness. * Then, it generates more diverse tests for the problem, covering cases not part of the original public tests. * Iteratively, pick a solution, generate the code, and run it on a few test cases. * If the tests fail, improve the code and repeat the process until the code passes every test.swyx has previously written similar thoughts on types vs tests for putting bounds on program behavior, but AlphaCodium extends this to AI generated tests and code.More recently, Itamar has also shown that AlphaCodium's techniques also extend well to the o1 models:Making Flow Engineering a useful technique to improve code model performance on every model. This is something we see AI Engineers uniquely well positioned to do compared to ML Engineers/Researchers.Full Video PodcastLike and subscribe!Show Notes* Itamar* Qodo* First episode* Eric* Bolt* StackBlitz* Thinkster* AlphaCodium* WebContainersChapters* 00:00:00 Introductions & Updates* 00:06:01 Generic vs. Specific AI Agents* 00:07:40 Maintaining vs Creating with AI* 00:17:46 Human vs Agent Computer Interfaces* 00:20:15 Why Docker doesn't work for Bolt* 00:24:23 Creating Testing and Code Review Loops* 00:28:07 Bolt's Task Breakdown Flow* 00:31:04 AI in Complex Enterprise Environments* 00:41:43 AlphaCodium* 00:44:39 Strategies for Breaking Down Complex Tasks* 00:45:22 Building in Open Source* 00:50:35 Choosing a product as a founder* 00:59:03 Reflections on Bolt Success* 01:06:07 Building a B2C GTM* 01:18:11 AI Capabilities and Pricing Tiers* 01:20:28 What makes Bolt unique* 01:23:07 Future Growth and Product Development* 01:29:06 Competitive Landscape in AI Engineering* 01:30:01 Advice to Founders and Embracing AI* 01:32:20 Having a baby and completing an Iron ManTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai.Swyx [00:00:12]: Hey, and today we're still in our sort of makeshift in-between studio, but we're very delighted to have a former returning guest host, Itamar. Welcome back.Itamar [00:00:21]: Great to be here after a year or more. Yeah, a year and a half.Swyx [00:00:24]: You're one of our earliest guests on Agents. Now you're CEO co-founder of Kodo. Right. Which has just been renamed. You also raised a $40 million Series A, and we can get caught up on everything, but we're also delighted to have our new guest, Eric. Welcome.Eric [00:00:42]: Thank you. Excited to be here. Should I say Bolt or StackBlitz?Swyx [00:00:45]: Like, is it like its own company now or?Eric [00:00:47]: Yeah. Bolt's definitely bolt.new. That's the thing that we're probably the most known for, I imagine, at this point.Swyx [00:00:54]: Which is ridiculous to say because you were working at StackBlitz for so long.Eric [00:00:57]: Yeah. I mean, within a week, we were doing like double the amount of traffic. And StackBlitz had been online for seven years, and we were like, what? But anyways, yeah. So we're StackBlitz, the company behind bolt.new. If you've heard of bolt.new, that's our stuff. Yeah.Swyx [00:01:12]: Yeah.Itamar [00:01:13]: Excellent. I see, by the way, that the founder mode, you need to know to capture opportunities. So kudos on doing that, right? You're working on some technology, and then suddenly you can exploit that to a new world. Yeah.Eric [00:01:24]: Totally. And I think, well, not to jump, but 100%, I mean, a couple of months ago, we had the idea for Bolt earlier this year, but we haven't really shared this too much publicly. But we actually had tried to build it with some of those state-of-the-art models back in January, February, you can kind of imagine which, and they just weren't good enough to actually do the code generation where the code was accurate and it was fast and whatever have you without a ton of like rag, but then there was like issues with that. So we put it on the shelf and then we got kind of a sneak peek of some of the new models that have come out in the past couple of months now. And so once we saw that, once we actually saw the code gen from it, we were like, oh my God, like, okay, we can build a product around this. And so that was really the impetus of us building the thing. But with that, it was StackBlitz, the core StackBlitz product the past seven years has been an IDE for developers. So the entire user experience flow we've built up just didn't make sense. And so when we kind of went out to build Bolt, we just thought, you know, if we were inventing our product today, what would the interface look like given what is now possible with the AI code gen? And so there's definitely a lot of conversations we had internally, but you know, just kind of when we logically laid it out, we were like, yeah, I think it makes sense to just greenfield a new thing and let's see what happens. If it works great, then we'll figure it out. If it doesn't work great, then it'll get deleted at some point. So that's kind of how it actually came to be.Swyx [00:02:49]: I'll mention your background a little bit. You were also founder of Thinkster before you started StackBlitz. So both of you are second time founders. Both of you have sort of re-founded your company recently. Yours was more of a rename. I think a slightly different direction as well. And then we can talk about both. Maybe just chronologically, should we get caught up on where Kodo is first and then you know, just like what people should know since the last pod? Sure.Itamar [00:03:12]: The last pod was two months after we launched and we basically had the vision that we talked about. The idea that software development is about specification, test and code, etc. We are more on the testing part as in essence, we think that if you solve testing, you solve software development. The beautiful chart that we'll put up on screen. And testing is a really big field, like there are many dimensions, unit testing, the level of the component, how big it is, how large it is. And then there is like different type of testing, is it regression or smoke or whatever. So back then we only had like one ID extension with unit tests as in focus. One and a half year later, first ID extension supports more type of testing as context aware. We index local, local repos, but also 10,000s of repos for Fortune 500 companies. We have another agent, another tool that is called, the pure agent is the open source and the commercial one is CodoMerge. And then we have another open source called CoverAgent, which is not yet a commercial product coming very soon. It's very impressive. It could be that already people are approving automated pull requests that they don't even aware in really big open sources. So once we have enough of these, we will also launch another agent. So for the first one and a half year, what we did is grew in our offering and mostly on the side of, does this code actually works, testing, code review, et cetera. And we believe that's the critical milestone that needs to be achieved to actually have the AI engineer for enterprise software. And then like for the first year was everything bottom up, getting to 1 million installation. 2024, that was 2023, 2024 was starting to monetize, to feel like how it is to make the first buck. So we did the teams offering, it went well with a thousand of teams, et cetera. And then we started like just a few months ago to do enterprise with everything you need, which is a lot of things that discussed in the last post that was just released by Codelm. So that's how we call it at Codelm. Just opening the brackets, our company name was Codelm AI, and we renamed to Codo and we call our models Codelm. So back to my point, so we started Enterprise Motion and already have multiple Fortune 100 companies. And then with that, we raised a series of $40 million. And what's exciting about it is that enables us to develop more agents. That's our focus. I think it's very different. We're not coming very soon with an ID or something like that.Swyx [00:06:01]: You don't want to fork this code?Itamar [00:06:03]: Maybe we'll fork JetBrains or something just to be different.Swyx [00:06:08]: I noticed that, you know, I think the promise of general purpose agents has kind of died. Like everyone is doing kind of what you're doing. There's Codogen, Codomerge, and then there's a third one. What's the name of it?Itamar [00:06:17]: Yeah. Codocover. Cover. Which is like a commercial version of a cover agent. It's coming soon.Swyx [00:06:23]: Yeah. It's very similar with factory AI, also doing like droids. They all have special purpose doing things, but people don't really want general purpose agents. Right. The last time you were here, we talked about AutoGBT, the biggest thing of 2023. This year, not really relevant anymore. And I think it's mostly just because when you give me a general purpose agent, I don't know what to do with it.Eric [00:06:42]: Yeah.Itamar [00:06:43]: I totally agree with that. We're seeing it for a while and I think it will stay like that despite the computer use, et cetera, that supposedly can just replace us. You can just like prompt it to be, hey, now be a QA or be a QA person or a developer. I still think that there's a few reasons why you see like a dedicated agent. Again, I'm a bit more focused, like my head is more on complex software for big teams and enterprise, et cetera. And even think about permissions and what are the data sources and just the same way you manage permissions for users. Developers, you probably want to have dedicated guardrails and dedicated approvals for agents. I intentionally like touched a point on not many people think about. And of course, then what you can think of, like maybe there's different tools, tool use, et cetera. But just the first point by itself is a good reason why you want to have different agents.Alessio [00:07:40]: Just to compare that with Bot.new, you're almost focused on like the application is very complex and now you need better tools to kind of manage it and build on top of it. On Bot.new, it's almost like I was using it the other day. There's basically like, hey, look, I'm just trying to get started. You know, I'm not very opinionated on like how you're going to implement this. Like this is what I want to do. And you build a beautiful app with it. What people ask as the next step, you know, going back to like the general versus like specific, have you had people say, hey, you know, this is great to start, but then I want a specific Bot.new dot whatever else to do a more vertical integration and kind of like development or what's the, what do people say?Eric [00:08:18]: Yeah. I think, I think you kind of hit the, hit it head on, which is, you know, kind of the way that we've, we've kind of talked about internally is it's like people are using Bolt to go from like 0.0 to 1.0, like that's like kind of the biggest unlock that Bolt has versus most other things out there. I mean, I think that's kind of what's, what's very unique about Bolt. I think the, you know, the working on like existing enterprise applications is, I mean, it's crazy important because, you know, there's a, you look, when you look at the fortune 500, I mean, these code bases, some of these have been around for 20, 30 plus years. And so it's important to be going from, you know, 101.3 to 101.4, et cetera. I think for us, so what's been actually pretty interesting is we see there's kind of two different users for us that are coming in and it's very distinct. It's like people that are developers already. And then there's people that have never really written software and more if they have, it's been very, very minimal. And so in the first camp, what these developers are doing, like to go from zero to one, they're coming to Bolt and then they're ejecting the thing to get up or just downloading it and, you know, opening cursor, like whatever to, to, you know, keep iterating on the thing. And sometimes they'll bring it back to Bolt to like add in a huge piece of functionality or something. Right. But for the people that don't know how to code, they're actually just, they, they live in this thing. And that was one of the weird things when we launched is, you know, within a day of us being online, one of the most popular YouTube videos, and there's been a ton since, which was, you know, there's like, oh, Bolt is the cursor killer. And I originally saw the headlines and I was like, thanks for the views. I mean, I don't know. This doesn't make sense to me. That's not, that's not what we kind of thought.Swyx [00:09:44]: It's how YouTubers talk to each other. Well, everything kills everything else.Eric [00:09:47]: Totally. But what blew my mind was that there was any comparison because it's like cursor is a, is a local IDE product. But when, when we actually kind of dug into it and we, and we have people that are using our product saying this, I'm not using cursor. And I was like, what? And it turns out there are hundreds of thousands of people that we have seen that we're using cursor and we're trying to build apps with that where they're not traditional software does, but we're heavily leaning on the AI. And as you can imagine, it is very complicated, right? To do that with cursor. So when Bolt came out, they're like, wow, this thing's amazing because it kind of inverts the complexity where it's like, you know, it's not an IDE, it's, it's a, it's a chat-based sort of interface that we have. So that's kind of the split, which is rather interesting. We've had like the first startups now launch off of Bolt entirely where this, you know, tomorrow I'm doing a live stream with this guy named Paul, who he's built an entire CRM using this thing and you know, with backend, et cetera. And people have made their first money on the internet period, you know, launching this with Stripe or whatever have you. So that's, that's kind of the two main, the two main categories of folks that we see using Bolt though.Itamar [00:10:51]: I agree that I don't understand the comparison. It doesn't make sense to me. I think like we have like two type of families of tools. One is like we re-imagine the software development. I think Bolt is there and I think like a cursor is more like a evolution of what we already have. It's like taking the IDE and it's, it's amazing and it's okay, let's, let's adapt the IDE to an era where LLMs can do a lot for us. And Bolt is more like, okay, let's rethink everything totally. And I think we see a few tools there, like maybe Vercel, Veo and maybe Repl.it in that area. And then in the area of let's expedite, let's change, let's, let's progress with what we already have. You can see Cursor and Kodo, but we're different between ourselves, Cursor and Kodo, but definitely I think that comparison doesn't make sense.Alessio [00:11:42]: And just to set the context, this is not a Twitter demo. You've made 4 million of revenue in four weeks. So this is, this is actually working, you know, it's not a, what, what do you think that is? Like, there's been so many people demoing coding agents on Twitter and then it doesn't really work. And then you guys were just like, here you go, it's live, go use it, pay us for it. You know, is there anything in the development that was like interesting and maybe how that compares to building your own agents?Eric [00:12:08]: We had no idea, honestly, like we, we, we've been pretty blown away and, and things have just kind of continued to grow faster since then. We're like, oh, today is week six. So I, I kind of came back to the point you just made, right, where it's, you, you kind of outlined, it's like, there's kind of this new market of like kind of rethinking the software development and then there's heavily augmenting existing developers. I think that, you know, both of which are, you know, AI code gen being extremely good, it's allowed existing developers, it's allowing existing developers to camera out software far faster than they could have ever before, right? It's like the ultimate power tool for an existing developer. But this code gen stuff is now so good. And then, and we saw this over the past, you know, from the beginning of the year when we tried to first build, it's actually lowered the barrier to people that, that aren't traditionally software engineers. But the kind of the key thing is if you kind of think about it from, imagine you've never written software before, right? My co-founder and I, he and I grew up down the street from each other in Chicago. We learned how to code when we were 13 together and we've been building stuff ever since. And this is back in like the mid 2000s or whatever, you know, there was nothing for free to learn from online on the internet and how to code. For our 13th birthdays, we asked our parents for, you know, O'Reilly books cause you couldn't get this at the library, right? And so instead of like an Xbox, we got, you know, programming books. But the hardest part for everyone learning to code is getting an environment set up locally, you know? And so when we built StackBlitz, like kind of the key thesis, like seven years ago, the insight we had was that, Hey, it seems like the browser has a lot of new APIs like WebAssembly and service workers, et cetera, where you could actually write an operating system that ran inside the browser that could boot in milliseconds. And you, you know, basically there's this missing capability of the web. Like the web should be able to build apps for the web, right? You should be able to build the web on the web. Every other platform has that, Visual Studio for Windows, Xcode for Mac. The web has no built in primitive for this. And so just like our built in kind of like nerd instinct on this was like, that seems like a huge hole and it's, you know, it will be very valuable or like, you know, very valuable problem to solve. So if you want to set up that environments, you know, this is what we spent the past seven years doing. And the reality is existing developers have running locally. They already know how to set up that environment. So the problem isn't as acute for them. When we put Bolt online, we took that technology called WebContainer and married it with these, you know, state of the art frontier models. And the people that have the most pain with getting stuff set up locally is people that don't code. I think that's been, you know, really the big explosive reason is no one else has been trying to make dev environments work inside of a browser tab, you know, for the past if since ever, other than basically our company, largely because there wasn't an immediate demand or need. So I think we kind of find ourselves at the right place at the right time. And again, for this market of people that don't know how to write software, you would kind of expect that you should be able to do this without downloading something to your computer in the same way that, hey, I don't have to download Photoshop now to make designs because there's Figma. I don't have to download Word because there's, you know, Google Docs. They're kind of looking at this as that sort of thing, right? Which was kind of the, you know, our impetus and kind of vision from the get-go. But you know, the code gen, the AI code gen stuff that's come out has just been, you know, an order of magnitude multiplier on how magic that is, right? So that's kind of my best distillation of like, what is going on here, you know?Alessio [00:15:21]: And you can deploy too, right?Eric [00:15:22]: Yeah.Alessio [00:15:23]: Yeah.Eric [00:15:24]: And so that's, what's really cool is it's, you know, we have deployment built in with Netlify and this is actually, I think, Sean, you actually built this at Netlify when you were there. Yeah. It's one of the most brilliant integrations actually, because, you know, effectively the API that Sean built, maybe you can speak to it, but like as a provider, we can just effectively give files to Netlify without the user even logging in and they have a live website. And if they want to keep, hold onto it, they can click a link and claim it to their Netlify account. But it basically is just this really magic experience because when you come to Bolt, you say, I want a website. Like my mom, 70, 71 years old, made her first website, you know, on the internet two weeks ago, right? It was about her nursing days.Swyx [00:16:03]: Oh, that's fantastic though. It wouldn't have been made.Eric [00:16:06]: A hundred percent. Cause even in, you know, when we've had a lot of people building personal, like deeply personal stuff, like in the first week we launched this, the sales guy from the East Coast, you know, replied to a tweet of mine and he said, thank you so much for building this to your team. His daughter has a medical condition and so for her to travel, she has to like line up donors or something, you know, so ahead of time. And so he actually used Bolt to make a website to do that, to actually go and send it to folks in the region she was going to travel to ahead of time. I was really touched by it, but I also thought like, why, you know, why didn't he use like Wix or Squarespace? Right? I mean, this is, this is a solved problem, quote unquote, right? And then when I thought, I actually use Squarespace for my, for my, uh, the wedding website for my wife and I, like back in 2021, so I'm familiar, you know, it was, it was faster. I know how to code. I was like, this is faster. Right. And I thought back and I was like, there's a whole interface you have to learn how to use. And it's actually not that simple. There's like a million things you can configure in that thing. When you come to Bolt, there's a, there's a text box. You just say, I need a, I need a wedding website. Here's the date. Here's where it is. And here's a photo of me and my wife, put it somewhere relevant. It's actually the simplest way. And that's what my, when my mom came, she said, uh, I'm Pat Simons. I was a nurse in the seventies, you know, and like, here's the things I did and a website came out. So coming back to why is this such a, I think, why are we seeing this sort of growth? It's, this is the simplest interface I think maybe ever created to actually build it, a deploy a website. And then that website, my mom made, she's like, okay, this looks great. And there's, there's one button, you just click it, deploy, and it's live and you can buy a domain name, attach it to it. And you know, it's as simple as it gets, it's getting even simpler with some of the stuff we're working on. But anyways, so that's, it's, it's, uh, it's been really interesting to see some of the usage like that.Swyx [00:17:46]: I can offer my perspective. So I, you know, I probably should have disclosed a little bit that, uh, I'm a, uh, stack list investor.Alessio [00:17:53]: Canceled the episode. I know, I know. Don't play it now. Pause.Eric actually reached out to ShowMeBolt before the launch. And we, you know, we talked a lot about, like, the framing of, of what we're going to talk about how we marketed the thing, but also, like, what we're So that's what Bolt was going to need, like a whole sort of infrastructure.swyx: Netlify, I was a maintainer but I won't take claim for the anonymous upload. That's actually the origin story of Netlify. We can have Matt Billman talk about it, but that was [00:18:00] how Netlify started. You could drag and drop your zip file or folder from your desktop onto a website, it would have a live URL with no sign in.swyx: And so that was the origin story of Netlify. And it just persists to today. And it's just like it's really nice, interesting that both Bolt and CognitionDevIn and a bunch of other sort of agent type startups, they all use Netlify to deploy because of this one feature. They don't really care about the other features.swyx: But, but just because it's easy for computers to use and talk to it, like if you build an interface for computers specifically, that it's easy for them to Navigate, then they will be used in agents. And I think that's a learning that a lot of developer tools companies are having. That's my bolt launch story and now if I say all that stuff.swyx: And I just wanted to come back to, like, the Webcontainers things, right? Like, I think you put a lot of weight on the technical modes. I think you also are just like, very good at product. So you've, you've like, built a better agent than a lot of people, the rest of us, including myself, who have tried to build these things, and we didn't get as far as you did.swyx: Don't shortchange yourself on products. But I think specifically [00:19:00] on, on infra, on like the sandboxing, like this is a thing that people really want. Alessio has Bax E2B, which we'll have on at some point, talking about like the sort of the server full side. But yours is, you know, inside of the browser, serverless.swyx: It doesn't cost you anything to serve one person versus a million people. It doesn't, doesn't cost you anything. I think that's interesting. I think in theory, we should be able to like run tests because you can run the full backend. Like, you can run Git, you can run Node, you can run maybe Python someday.swyx: We talked about this. But ideally, you should be able to have a fully gentic loop, running code, seeing the errors, correcting code, and just kind of self healing, right? Like, I mean, isn't that the dream?Eric: Totally.swyx: Yeah,Eric: totally. At least in bold, we've got, we've got a good amount of that today. I mean, there's a lot more for us to do, but one of the nice things, because like in web container, you know, there's a lot of kind of stuff you go Google like, you know, turn docker container into wasm.Eric: You'll find a lot of stuff out there that will do that. The problem is it's very big, it's slow, and that ruins the experience. And so what we ended up doing is just writing an operating system from [00:20:00] scratch that was just purpose built to, you know, run in a browser tab. And the reason being is, you know, Docker 2 awesome things will give you an image that's like out 60 to 100 megabits, you know, maybe more, you know, and our, our OS, you know, kind of clocks in, I think, I think we're in like a, maybe, maybe a megabyte or less or something like that.Eric: I mean, it's, it's, you know, really, really, you know, stripped down.swyx: This is basically the task involved is I understand that it's. Mapping every single, single Linux call to some kind of web, web assembly implementation,Eric: but more or less, and, and then there's a lot of things actually, like when you're looking at a dev environment, there's a lot of things that you don't need that a traditional OS is gonna have, right?Eric: Like, you know audio drivers or you like, there's just like, there's just tons of things. Oh, yeah. Right. Yeah. That goes . Yeah. You can just kind, you can, you can kind of tos them. Or alternatively, what you can do is you can actually be the nice thing. And this is, this kind of comes back to the origins of browsers, which is, you know, they're, they're at the beginning of the web and, you know, the late nineties, there was two very different kind of visions for the web where Alan Kay vehemently [00:21:00] disagree with the idea that should be document based, which is, you know, Tim Berners Lee, you know, that, and that's kind of what ended up winning, winning was this document based kind of browsing documents on the web thing.Eric: Alan Kay, he's got this like very famous quote where he said, you know, you want web browsers to be mini operating systems. They should download little mini binaries and execute with like a little mini virtualized operating system in there. And what's kind of interesting about the history, not to geek out on this aspect, what's kind of interesting about the history is both of those folks ended up being right.Eric: Documents were actually the pragmatic way that the web worked. Was, you know, became the most ubiquitous platform in the world to the degree now that this is why WebAssembly has been invented is that we're doing, we need to do more low level things in a browser, same thing with WebGPU, et cetera. And so all these APIs, you know, to build an operating system came to the browser.Eric: And that was actually the realization we had in 2017 was, holy heck, like you can actually, you know, service workers, which were designed for allowing your app to work offline. That was the kind of the key one where it was like, wait a second, you can actually now run. Web servers within a [00:22:00] browser, like you can run a server that you open up.Eric: That's wild. Like full Node. js. Full Node. js. Like that capability. Like, I can have a URL that's programmatically controlled. By a web application itself, boom. Like the web can build the web. The primitive is there. Everyone at the time, like we talked to people that like worked on, you know Chrome and V8 and they were like, uhhhh.Eric: You know, like I don't know. But it's one of those things you just kind of have to go do it to find out. So we spent a couple of years, you know, working on it and yeah. And, and, and got to work in back in 2021 is when we kind of put the first like data of web container online. Butswyx: in partnership with Google, right?swyx: Like Google actually had to help you get over the finish line with stuff.Eric: A hundred percent, because well, you know, over the years of when we were doing the R and D on the thing. Kind of the biggest challenge, the two ways that you can kind of test how powerful and capable a platform are, the two types of applications are one, video games, right, because they're just very compute intensive, a lot of calculations that have to happen, right?Eric: The second one are IDEs, because you're talking about actually virtualizing the actual [00:23:00] runtime environment you are in to actually build apps on top of it, which requires sophisticated capabilities, a lot of access to data. You know, a good amount of compute power, right, to effectively, you know, building app in app sort of thing.Eric: So those, those are the stress tests. So if your platform is missing stuff, those are the things where you find out. Those are, those are the people building games and IDEs. They're the ones filing bugs on operating system level stuff. And for us, browser level stuff.Eric [00:23:47]: yeah, what ended up happening is we were just hammering, you know, the Chromium bug tracker, and they're like, who are these guys? Yeah. And, and they were amazing because I mean, just making Chrome DevTools be able to debug, I mean, it's, it's not, it wasn't originally built right for debugging an operating system, right? They've been phenomenal working with us and just kind of really pushing the limits, but that it's a rising tide that's kind of lifted all boats because now there's a lot of different types of applications that you can debug with Chrome Dev Tools that are running a browser that runs more reliably because just the stress testing that, that we and, you know, games that are coming to the web are kind of pushing as well, but.Itamar [00:24:23]: That's awesome. About the testing, I think like most, let's say coding assistant from different kinds will need this loop of testing. And even I would add code review to some, to some extent that you mentioned. How is testing different from code review? Code review could be, for example, PR review, like a code review that is done at the point of when you want to merge branches. But I would say that code review, for example, checks best practices, maintainability, and so on. It's not just like CI, but more than CI. And testing is like a more like checking functionality, et cetera. So it's different. We call, by the way, all of these together code integrity, but that's a different story. Just to go back to the, to the testing and specifically. Yeah. It's, it's, it's since the first slide. Yeah. We're consistent. So if we go back to the testing, I think like, it's not surprising that for us testing is important and for Bolt it's testing important, but I want to shed some light on a different perspective of it. Like let's think about autonomous driving. Those startups that are doing autonomous driving for highway and autonomous driving for the city. And I think like we saw the autonomous of the highway much faster and reaching to a level, I don't know, four or so much faster than those in the city. Now, in both cases, you need testing and quote unquote testing, you know, verifying validation that you're doing the right thing on the road and you're reading and et cetera. But it's probably like so different in the city that it could be like actually different technology. And I claim that we're seeing something similar here. So when you're building the next Wix, and if I was them, I was like looking at you and being a bit scared. That's what you're disrupting, what you just said. Then basically, I would say that, for example, the UX UI is freaking important. And because you're you're more aiming for the end user. In this case, maybe it's an end user that doesn't know how to develop for developers. It's also important. But let alone those that do not know to develop, they need a slick UI UX. And I think like that's one reason, for example, I think Cursor have like really good technology. I don't know the underlying what's under the hood, but at least what they're saying. But I think also their UX UI is great. It's a lot because they did their own ID. While if you're aiming for the city AI, suddenly like there's a lot of testing and code review technology that it's not necessarily like that important. For example, let's talk about integration tests. Probably like a lot of what you're building involved at the moment is isolated applications. Maybe the vision or the end game is maybe like having one solution for everything. It could be that eventually the highway companies will go into the city and the other way around. But at the beginning, there is a difference. And integration tests are a good example. I guess they're a bit less important. And when you think about enterprise software, they're really important. So to recap, like I think like the idea of looping and verifying your test and verifying your code in different ways, testing or code review, et cetera, seems to be important in the highway AI and the city AI, but in different ways and different like critical for the city, even more and more variety. Actually, I was looking to ask you like what kind of loops you guys are doing. For example, when I'm using Bolt and I'm enjoying it a lot, then I do see like sometimes you're trying to catch the errors and fix them. And also, I noticed that you're breaking down tasks into smaller ones and then et cetera, which is already a common notion for a year ago. But it seems like you're doing it really well. So if you're willing to share anything about it.Eric [00:28:07]: Yeah, yeah. I realized I never actually hit the punchline of what I was saying before. I mentioned the point about us kind of writing an operating system from scratch because what ended up being important about that is that to your point, it's actually a very, like compared to like a, you know, if you're like running cursor on anyone's machine, you kind of don't know what you're dealing with, with the OS you're running on. There could be an error happens. It could be like a million different things, right? There could be some config. There could be, it could be God knows what, right? The thing with WebConnect is because we wrote the entire thing from scratch. It's actually a unified image basically. And we can instrument it at any level that we think is going to be useful, which is exactly what we did when we started building Bolt is we instrumented stuff at like the process level, at the runtime level, you know, et cetera, et cetera, et cetera. Stuff that would just be not impossible to do on local, but to do that in a way that works across any operating system, whatever is, I mean, would just be insanely, you know, insanely difficult to do right and reliably. And that's what you saw when you've used Bolt is that when an error actually will occur, whether it's in the build process or the actual web application itself is failing or anything kind of in between, you can actually capture those errors. And today it's a very primitive way of how we've implemented it largely because the product just didn't exist 90 days ago. So we're like, we got some work ahead of us and we got to hire some more a little bit, but basically we present and we say, Hey, this is, here's kind of the things that went wrong. There's a fix it button and then a ignore button, and then you can just hit fix it. And then we take all that telemetry through our agent, you run it through our agent and say, kind of, here's the state of the application. Here's kind of the errors that we got from Node.js or the browser or whatever, and like dah, dah, dah, dah. And it can take a crack at actually solving it. And it's actually pretty darn good at being able to do that. That's kind of been a, you know, closing the loop and having it be a reliable kind of base has seemed to be a pretty big upgrade over doing stuff locally, just because I think that's a pretty key ingredient of it. And yeah, I think breaking things down into smaller tasks, like that's, that's kind of a key part of our agent. I think like Claude did a really good job with artifacts. I think, you know, us and kind of everyone else has, has kind of taken their approach of like actually breaking out certain tasks in a certain order into, you know, kind of a concrete way. And, and so actually the core of Bolt, I know we actually made open source. So you can actually go and check out like the system prompts and et cetera, and you can run it locally and whatever have you. So anyone that's interested in this stuff, I'd highly recommend taking a look at. There's not a lot of like stuff that's like open source in this realm. It's, that was one of the fun things that we've we thought would be cool to do. And people, people seem to like it. I mean, there's a lot of forks and people adding different models and stuff. So it's been cool to see.Swyx [00:30:41]: Yeah. I'm happy to add, I added real-time voice for my opening day demo and it was really fun to hack with. So thank you for doing that. Yeah. Thank you. I'm going to steal your code.Eric [00:30:52]: Because I want that.Swyx [00:30:52]: It's funny because I built on top of the fork of Bolt.new that already has the multi LLM thing. And so you just told me you're going to merge that in. So then you're going to merge two layers of forks down into this thing. So it'll be fun.Eric [00:31:03]: Heck yeah.Alessio [00:31:04]: Just to touch on like the environment, Itamar, you maybe go into the most complicated environments that even the people that work there don't know how to run. How much of an impact does that have on your performance? Like, you know, it's most of the work you're doing actually figuring out environment and like the libraries, because I'm sure they're using outdated version of languages, they're using outdated libraries, they're using forks that have not been on the public internet before. How much of the work that you're doing is like there versus like at the LLM level?Itamar [00:31:32]: One of the reasons I was asking about, you know, what are the steps to break things down, because it really matters. Like, what's the tech stack? How complicated the software is? It's hard to figure it out when you're dealing with the real world, any environment of enterprise as a city, when I'm like, while maybe sometimes like, I think you do enable like in Bolt, like to install stuff, but it's quite a like controlled environment. And that's a good thing to do, because then you narrow down and it's easier to make things work. So definitely, there are two dimensions, I think, actually spaces. One is the fact just like installing our software without yet like doing anything, making it work, just installing it because we work with enterprise and Fortune 500, etc. Many of them want on prem solution.Swyx [00:32:22]: So you have how many deployment options?Itamar [00:32:24]: Basically, we had, we did a metric metrics, say 96 options, because, you know, they're different dimensions. Like, for example, one dimension, we connect to your code management system to your Git. So are you having like GitHub, GitLab? Subversion? Is it like on cloud or deployed on prem? Just an example. Which model agree to use its APIs or ours? Like we have our Is it TestGPT? Yeah, when we started with TestGPT, it was a huge mistake name. It was cool back then, but I don't think it's a good idea to name a model after someone else's model. Anyway, that's my opinion. So we gotSwyx [00:33:02]: I'm interested in these learnings, like things that you change your mind on.Itamar [00:33:06]: Eventually, when you're building a company, you're building a brand and you want to create your own brand. By the way, when I thought about Bolt.new, I also thought about if it's not a problem, because when I think about Bolt, I do think about like a couple of companies that are already called this way.Swyx [00:33:19]: Curse companies. You could call it Codium just to...Itamar [00:33:24]: Okay, thank you. Touche. Touche.Eric [00:33:27]: Yeah, you got to imagine the board meeting before we launched Bolt, one of our investors, you can imagine they're like, are you sure? Because from the investment side, it's kind of a famous, very notorious Bolt. And they're like, are you sure you want to go with that name? Oh, yeah. Yeah, absolutely.Itamar [00:33:43]: At this point, we have actually four models. There is a model for autocomplete. There's a model for the chat. There is a model dedicated for more for code review. And there is a model that is for code embedding. Actually, you might notice that there isn't a good code embedding model out there. Can you name one? Like dedicated for code?Swyx [00:34:04]: There's code indexing, and then you can do sort of like the hide for code. And then you can embed the descriptions of the code.Itamar [00:34:12]: Yeah, but you do see a lot of type of models that are dedicated for embedding and for different spaces, different fields, etc. And I'm not aware. And I know that if you go to the bedrock, try to find like there's a few code embedding models, but none of them are specialized for code.Swyx [00:34:31]: Is there a benchmark that you would tell us to pay attention to?Itamar [00:34:34]: Yeah, so it's coming. Wait for that. Anyway, we have our models. And just to go back to the 96 option of deployment. So I'm closing the brackets for us. So one is like dimensional, like what Git deployment you have, like what models do you agree to use? Dotter could be like if it's air-gapped completely, or you want VPC, and then you have Azure, GCP, and AWS, which is different. Do you use Kubernetes or do not? Because we want to exploit that. There are companies that do not do that, etc. I guess you know what I mean. So that's one thing. And considering that we are dealing with one of all four enterprises, we needed to deal with that. So you asked me about how complicated it is to solve that complex code. I said, it's just a deployment part. And then now to the software, we see a lot of different challenges. For example, some companies, they did actually a good job to build a lot of microservices. Let's not get to if it's good or not, but let's first assume that it is a good thing. A lot of microservices, each one of them has their own repo. And now you have tens of thousands of repos. And you as a developer want to develop something. And I remember me coming to a corporate for the first time. I don't know where to look at, like where to find things. So just doing a good indexing for that is like a challenge. And moreover, the regular indexing, the one that you can find, we wrote a few blogs on that. By the way, we also have some open source, different than yours, but actually three and growing. Then it doesn't work. You need to let the tech leads and the companies influence your indexing. For example, Mark with different repos with different colors. This is a high quality repo. This is a lower quality repo. This is a repo that we want to deprecate. This is a repo we want to grow, etc. And let that be part of your indexing. And only then things actually work for enterprise and they don't get to a fatigue of, oh, this is awesome. Oh, but I'm starting, it's annoying me. I think Copilot is an amazing tool, but I'm quoting others, meaning GitHub Copilot, that they see not so good retention of GitHub Copilot and enterprise. Ooh, spicy. Yeah. I saw snapshots of people and we have customers that are Copilot users as well. And also I saw research, some of them is public by the way, between 38 to 50% retention for users using Copilot and enterprise. So it's not so good. By the way, I don't think it's that bad, but it's not so good. So I think that's a reason because, yeah, it helps you auto-complete, but then, and especially if you're working on your repo alone, but if it's need that context of remote repos that you're code-based, that's hard. So to make things work, there's a lot of work on that, like giving the controllability for the tech leads, for the developer platform or developer experience department in the organization to influence how things are working. A short example, because if you have like really old legacy code, probably some of it is not so good anymore. If you just fine tune on these code base, then there is a bias to repeat those mistakes or old practices, etc. So you need, for example, as I mentioned, to influence that. For example, in Coda, you can have a markdown of best practices by the tech leads and Coda will include that and relate to that and will not offer suggestions that are not according to the best practices, just as an example. So that's just a short list of things that you need to do in order to deal with, like you mentioned, the 100.1 to 100.2 version of software. I just want to say what you're doing is extremelyEric [00:38:32]: impressive because it's very difficult. I mean, the business of Stackplus, kind of before bulk came online, we sold a version of our IDE that went on-prem. So I understand what you're saying about the difficulty of getting stuff just working on-prem. Holy heck. I mean, that is extremely hard. I guess the question I have for you is, I mean, we were just doing that with kind of Kubernetes-based stuff, but the spread of Fortune 500 companies that you're working with, how are they doing the inference for this? Are you kind of plugging into Azure's OpenAI stuff and AWS's Bedrock, you know, Cloud stuff? Or are they just like running stuff on GPUs? Like, what is that? How are these folks approaching that? Because, man, what we saw on the enterprise side, I mean, I got to imagine that that's a huge challenge. Everything you said and more, like,Itamar [00:39:15]: for example, like someone could be, and I don't think any of these is bad. Like, they made their decision. Like, for example, some people, they're, I want only AWS and VPC on AWS, no matter what. And then they, some of them, like there is a subset, I will say, I'm willing to take models only for from Bedrock and not ours. And we have a problem because there is no good code embedding model on Bedrock. And that's part of what we're doing now with AWS to solve that. We solve it in a different way. But if you are willing to run on AWS VPC, but run your run models on GPUs or inferentia, like the new version of the more coming out, then our models can run on that. But everything you said is right. Like, we see like on-prem deployment where they have their own GPUs. We see Azure where you're using OpenAI Azure. We see cases where you're running on GCP and they want OpenAI. Like this cross, like a case, although there is Gemini or even Sonnet, I think is available on GCP, just an example. So all the options, that's part of the challenge. I admit that we thought about it, but it was even more complicated. And it took us a few months to actually, that metrics that I mentioned, to start clicking each one of the blocks there. A few months is impressive. I mean,Eric [00:40:35]: honestly, just that's okay. Every one of these enterprises is, their networking is different. Just everything's different. Every single one is different. I see you understand. Yeah. So that just cannot be understated. That it is, that's extremely impressive. Hats off.Itamar [00:40:50]: It could be, by the way, like, for example, oh, we're only AWS, but our GitHub enterprise is on-prem. Oh, we forgot. So we need like a private link or whatever, like every time like that. It's not, and you do need to think about it if you want to work with an enterprise. And it's important. Like I understand like their, I respect their point of view.Swyx [00:41:10]: And this primarily impacts your architecture, your tech choices. Like you have to, you can't choose some vendors because...Itamar [00:41:15]: Yeah, definitely. To be frank, it makes us hard for a startup because it means that we want, we want everyone to enjoy all the variety of models. By the way, it was hard for us with our technology. I want to open a bracket, like a window. I guess you're familiar with our Alpha Codium, which is an open source.Eric [00:41:33]: We got to go over that. Yeah. So I'll do that quickly.Itamar [00:41:36]: Yeah. A pin in that. Yeah. Actually, we didn't have it in the last episode. So, so, okay.Swyx [00:41:41]: Okay. We'll come back to that later, but let's talk about...Itamar [00:41:43]: Yeah. So, so just like shortly, and then we can double click on Alpha Codium. But Alpha Codium is a open source tool. You can go and try it and lets you compete on CodeForce. This is a website and a competition and actually reach a master level level, like 95% with a click of a button. You don't need to do anything. And part of what we did there is taking a problem and breaking it to different, like smaller blocks. And then the models are doing a much better job. Like we all know it by now that taking small tasks and solving them, by the way, even O1, which is supposed to be able to do system two thinking like Greg from OpenAI like hinted, is doing better on these kinds of problems. But still, it's very useful to break it down for O1, despite O1 being able to think by itself. And that's what we presented like just a month ago, OpenAI released that now they are doing 93 percentile with O1 IOI left and International Olympiad of Formation. Sorry, I forgot. Exactly. I told you I forgot. And we took their O1 preview with Alpha Codium and did better. Like it just shows like, and there is a big difference between the preview and the IOI. It shows like that these models are not still system two thinkers, and there is a big difference. So maybe they're not complete system two. Yeah, they need some guidance. I call them system 1.5. We can, we can have it. I thought about it. Like, you know, I care about this philosophy stuff. And I think like we didn't see it even close to a system two thinking. I can elaborate later. But closing the brackets, like we take Alpha Codium and as our principle of thinking, we take tasks and break them down to smaller tasks. And then we want to exploit the best model to solve them. So I want to enable anyone to enjoy O1 and SONET and Gemini 1.5, etc. But at the same time, I need to develop my own models as well, because some of the Fortune 500 want to have all air gapped or whatever. So that's a challenge. Now you need to support so many models. And to some extent, I would say that the flow engineering, the breaking down to two different blocks is a necessity for us. Why? Because when you take a big block, a big problem, you need a very different prompt for each one of the models to actually work. But when you take a big problem and break it into small tasks, we can talk how we do that, then the prompt matters less. What I want to say, like all this, like as a startup trying to do different deployment, getting all the juice that you can get from models, etc. is a big problem. And one need to think about it. And one of our mitigation is that process of taking tasks and breaking them down. That's why I'm really interested to know how you guys are doing it. And part of what we do is also open source. So you can see.Swyx [00:44:39]: There's a lot in there. But yeah, flow over prompt. I do believe that that does make sense. I feel like there's a lot that both of you can sort of exchange notes on breaking down problems. And I just want you guys to just go for it. This is fun to watch.Eric [00:44:55]: Yeah. I mean, what's super interesting is the context you're working in is, because for us too with Bolt, we've started thinking because our kind of existing business line was going behind the firewall, right? We were like, how do we do this? Adding the inference aspect on, we're like, okay, how does... Because I mean, there's not a lot of prior art, right? I mean, this is all new. This is all new. So I definitely am going to have a lot of questions for you.Itamar [00:45:17]: I'm here. We're very open, by the way. We have a paper on a blog or like whatever.Swyx [00:45:22]: The Alphacodeum, GitHub, and we'll put all this in the show notes.Itamar [00:45:25]: Yeah. And even the new results of O1, we published it.Eric [00:45:29]: I love that. And I also just, I think spiritually, I like your approach of being transparent. Because I think there's a lot of hype-ium around AI stuff. And a lot of it is, it's just like, you have these companies that are just kind of keep their stuff closed source and then just max hype it, but then it's kind of nothing. And I think it kind of gives a bad rep to the incredible stuff that's actually happening here. And so I think it's stuff like what you're doing where, I mean, true merit and you're cracking open actual code for others to learn from and use. That strikes me as the right approach. And it's great to hear that you're making such incredible progress.Itamar [00:46:02]: I have something to share about the open source. Most of our tools are, we have an open source version and then a premium pro version. But it's not an easy decision to do that. I actually wanted to ask you about your strategy, but I think in your case, there is, in my opinion, relatively a good strategy where a lot of parts of open source, but then you have the deployment and the environment, which is not right if I get it correctly. And then there's a clear, almost hugging face model. Yeah, you can do that, but why should you try to deploy it yourself, deploy it with us? But in our case, and I'm not sure you're not going to hit also some competitors, and I guess you are. I wanted to ask you, for example, on some of them. In our case, one day we looked on one of our competitors that is doing code review. We're a platform. We have the code review, the testing, et cetera, spread over the ID to get. And in each agent, we have a few startups or a big incumbents that are doing only that. So we noticed one of our competitors having not only a very similar UI of our open source, but actually even our typo. And you sit there and you're kind of like, yeah, we're not that good. We don't use enough Grammarly or whatever. And we had a couple of these and we saw it there. And then it's a challenge. And I want to ask you, Bald is doing so well, and then you open source it. So I think I know what my answer was. I gave it before, but still interestingEric [00:47:29]: to hear what you think. GeoHot said back, I don't know who he was up to at this exact moment, but I think on comma AI, all that stuff's open source. And someone had asked him, why is this open source? And he's like, if you're not actually confident that you can go and crush it and build the best thing, then yeah, you should probably keep your stuff closed source. He said something akin to that. I'm probably kind of butchering it, but I thought it was kind of a really good point. And that's not to say that you should just open source everything, because for obvious reasons, there's kind of strategic things you have to kind of take in mind. But I actually think a pretty liberal approach, as liberal as you kind of can be, it can really make a lot of sense. Because that is so validating that one of your competitors is taking your stuff and they're like, yeah, let's just kind of tweak the styles. I mean, clearly, right? I think it's kind of healthy because it keeps, I'm sure back at HQ that day when you saw that, you're like, oh, all right, well, we have to grind even harder to make sure we stay ahead. And so I think it's actually a very useful, motivating thing for the teams. Because you might feel this period of comfort. I think a lot of companies will have this period of comfort where they're not feeling the competition and one day they get disrupted. So kind of putting stuff out there and letting people push it forces you to face reality soon, right? And actually feel that incrementally so you can kind of adjust course. And that's for us, the open source version of Bolt has had a lot of features people have been begging us for, like persisting chat messages and checkpoints and stuff. Within the first week, that stuff was landed in the open source versions. And they're like, why can't you ship this? It's in the open, so people have forked it. And we're like, we're trying to keep our servers and GPUs online. But it's been great because the folks in the community did a great job, kept us on our toes. And we've got to know most of these folks too at this point that have been building these things. And so it actually was very instructive. Like, okay, well, if we're going to go kind of land this, there's some UX patterns we can kind of look at and the code is open source to this stuff. What's great about these, what's not. So anyways, NetNet, I think it's awesome. I think from a competitive point of view for us, I think in particular, what's interesting is the core technology of WebContainer going. And I think that right now, there's really nothing that's kind of on par with that. And we also, we have a business of, because WebContainer runs in your browser, but to make it work, you have to install stuff from NPM. You have to make cores bypass requests, like connected databases, which all require server-side proxying or acceleration. And so we actually sell WebContainer as a service. One of the core reasons we open-sourced kind of the core components of Bolt when we launched was that we think that there's going to be a lot more of these AI, in-your-browser AI co-gen experiences, kind of like what Anthropic did with Artifacts and Clod. By the way, Artifacts uses WebContainers. Not yet. No, yeah. Should I strike that? I think that they've got their own thing at the moment, but there's been a lot of interest in WebContainers from folks doing things in that sort of realm and in the AI labs and startups and everything in between. So I think there'll be, I imagine, over the coming months, there'll be lots of things being announced to folks kind of adopting it. But yeah, I think effectively...Swyx [00:50:35]: Okay, I'll say this. If you're a large model lab and you want to build sandbox environments inside of your chat app, you should call Eric.Itamar [00:50:43]: But wait, wait, wait, wait, wait, wait. I have a question about that. I think OpenAI, they felt that people are not using their model as they would want to. So they built ChatGPT. But I would say that ChatGPT now defines OpenAI. I know they're doing a lot of business from their APIs, but still, is this how you think? Isn't Bolt.new your business now? Why don't you focus on that instead of the...Swyx [00:51:16]: What's your advice as a founder?Eric [00:51:18]: You're right. And so going into it, we, candidly, we were like, Bolt.new, this thing is super cool. We think people are stoked. We think people will be stoked. But we were like, maybe that's allowed. Best case scenario, after month one, we'd be mind blown if we added a couple hundred K of error or something. And we were like, but we think there's probably going to be an immediate huge business. Because there was some early poll on folks wanting to put WebContainer into their product offerings, kind of similar to what Bolt is doing or whatever. We were actually prepared for the inverse outcome here. But I mean, well, I guess we've seen poll on both. But I mean, what's happened with Bolt, and you're right, it's actually the same strategy as like OpenAI or Anthropic, where we have our ChatGPT to OpenAI's APIs is Bolt to WebContainer. And so we've kind of taken that same approach. And we're seeing, I guess, some of the similar results, except right now, the revenue side is extremely lopsided to Bolt.Itamar [00:52:16]: I think if you ask me what's my advice, I think you have three options. One is to focus on Bolt. The other is to focus on the WebContainer. The third is to raise one billion dollars and do them both. I'm serious. I think otherwise, you need to choose. And if you raise enough money, and I think it's big bucks, because you're going to be chased by competitors. And I think it will be challenging to do both. And maybe you can. I don't know. We do see these numbers right now, raising above $100 million, even without havingEric [00:52:49]: a product. You can see these. It's excellent advice. And I think what's been amazing, but also kind of challenging is we're trying to forecast, okay, well, where are these things going? I mean, in the initial weeks, I think us and all the investors in the company that we're sharing this with, it was like, this is cool. Okay, we added 500k. Wow, that's crazy. Wow, we're at a million now. Most things, you have this kind of the tech crunch launch of initiation and then the thing of sorrow. And if there's going to be a downtrend, it's just not coming yet. Now that we're kind of looking ahead, we're six weeks in. So now we're getting enough confidence in our convictions to go, okay, this se

In this demi-sode, Gwen & Kate discuss the benefits of pushing ourselves out of our comfort zones as Kate tells us about the screening of her documentary about the melting Mer de Glace glacier in the French Alps; Gwen talks about the importance of doing something different to rewire our brains, even if it's little stuff. And Kate tells us about shoulder seasons! Is it winter? Or autumn-winter or spring-winter? Plus listener shoutouts!If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

In this pocket-sized Ep, Gwen & Kate chat about psychogeography aka being an urban wandering flaneur. Gwen shares how to be a flaneur in a car as she takes to the back roads of Wales (mostly) without a map in search of a pub in a bay. Kate has been to see Faithless with a load of other middle aged ravers, and consults the New Yorker re: what our annoying household habits mean about us. Plus listener shoutouts!Support Up All Night, the third instalment in photographer Colin Moody's Bristol book series with The History Press, offering an intimate glimpse into the city after dark. For more info and to support the 'love letter to Bristol's nightlife' kickstarter. If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

In this fun-sized-isode, Gwen & Kate talk about NSDR, a quick way to reduce anxiety – is it magic? Or is it just meditation? Breathwork + the Breath Space app. The signs when it's time to take a break and park the less important tasks. We ponder if behind closed doors Nigella loves bucket of KFC and Gwen demonstrates her partially convincing Northern accent currently across the airwaves oop North. Plus listener shoutouts + upcoming RUMP news!  We also mention the following episodes of Right Up My Podcast:Ep.46 - Breathwork Pt 1EP.33 - Deep WorkIf you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

There's a seismic change heading our way that will drive up electricity and water usage and it has to do with the uptake of generative AI, including Chat GPT. Giant tech companies are investing in nuclear power for their AI-fuelled race, however data centres also need clean, drinking-quality water. Guests:Ben Geman, energy reporter at Axios.com and the author of the daily Axios Generate newsletter, covering the world of energy business and politics.David Berreby, science writer based in New YorkGordon Noble, Research Director, Institute for Sustainable Futures, University of Technology Sydney

Hier zu unserem unverbindlichen Beratungsgespräch: https://www.beauty-business-consulting.de/podcast In Folge zweihundertsiebzehn von “Die Beauty Experten” spricht Anna Franziska Müller-Hoffmann & Maria Strehl ob sich KI & ChatGBT wirklich für Kosmetikerinnen lohnt. ►https://www.instagram.com/diebeautyexperten_podcast ► https://www.instagram.com/beautybusinessconsulting/ ► https://www.instagram.com/beauty_franzimh ► https://www.instagram.com/maria_strehl ► https://www.tiktok.com/@beautybusinessconsulting ►https://www.threads.net/@beautybusinessconsulting►https://www.threads.net/@beauty_franzimh ►https://www.threads.net/@maria_strehl Viele Berater, Coaches und Agenturen decken mit ihrem Know-How bestenfalls nur Teilbereiche ab oder geben Halbwissen an ihre Kunden weiter, dass in der Praxis schwer umzusetzen ist. Die Kunden haben so nie eine ganzheitliche Sicht auf ihr Unternehmen und blicken in den meisten Fällen durch ein Schlüsselloch. Sie erreichen nie ihr volles Potenzial und vertrauen auf ein Durcheinander aus Tipps, die sie aber persönlich nicht weiterbringen. Maria Strehl und Anna Franziska Müller-Hoffmann von Strehl Müller-Hoffmann Beauty Business Consulting zeigen dir, wie du endlich dein Business auf ein neues Level hebst. Die Kunden mit Social Media Strategien gewinnst, die du wirklich haben möchtest. Als Kosmetikstudio, Beautyinstitut oder Schönheitspraxis kannst du so hochpreisige Leistungen anbieten und deinen Produktverkauf effizienter gestalten. Wie du nicht mehr lange Tage arbeitest um dann nachher festzustellen, dass es sich kaum vom Umsatz lohnt. Als Beautyexperte bekommst du endlich das Image das du dir verdient hast und wirst zu der Person, die du immer sein wolltest. Dir gefällt unser Podcast? Hinterlasse uns doch einfach eine Bewertung und ein kurzes Feedback als Rezension.

In this weeny-sode, Gwen & Kate talk about how making small decisions today can have massive impacts on our future selves. And we share top tips on how to achieve this (thanks to Gwen's bestie ChatGPT). Kate's reading 'how to break up with your phone', and we chat instant gratification, landline phone roulette, and getting outside in the green. Plus listener shoutouts + special discount codes for RUMP listeners.  If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonOr, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee!Be social with us!InstagramFacebookTikTok

0.00:    Embracing the Possibilities of AI 5.00:    Idea of AI to improve efficiency (for better basics) 8.00:    Getting comfortable with Chat GBT and talking to a machine 14.20:  Juggling family, career and a tech startup 16.00:  Morning Routines to win the day 19.00:  Entrepreneurship to solve problems 22.00:  Technology and Children Learn more about Paul: https://paulmatthews.ai/ Until next time, love and good vibes.  Podcast Website: https://enterthelionheart.com/ Check out the latest episode here: Apple Podcast: https://podcasts.apple.com/us/podcast/enter-the-lionheart/id1554904704 Spotify: https://open.spotify.com/show/4tD7VvMUvnOgChoNYShbcI

In this cute button-sized episode, Gwen & Kate chat about Kate's near-death experience on a train just outside Swindon, the horrors of networking, the International Women's Podcast Festival, Deepak Chopra, complimenting strangers, Buddhist's second arrow and the entirely normal feeling of being totally awkward.Other things we refer to: For all things attachment theory, check out Stephanie Rigg's podcastDeepak Chopra's The Seven Spiritual Laws of SuccessOur Ep 51. The Vagus Nerve, changing how we process stress with Melissa Romano.Want a mention in the next RUMPette? Tell us what you do to make yourself feel good, or if you have any topics you'd like us to cover: rightupmypodcast@gmail.comThank you to our team:Music - Andrew GrimesArtwork - Erica Frances GeorgeVoiceover - Dave JonesSocials - Kate BallsIf you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and it really makes a difference in helping to convince hard-to-get guests. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonBe social with us!InstagramFacebookTikTok

Send us a textIn this cute mini-me-pisode, Kate's been to a food coach and has a handy little top tip for stopping eating for non-hunger reasons – H.A.L.T.! Gwen & Kate discuss how this can be used for a wide range of situations, and how having a handy list of things to make you feel good – like talking to a friend, getting fresh air, walking around the block, or journalling – can stop you doing the thing you'll regret. We reveal an easy journalling exercise and Kate relives looking back at her old journals.  Plus hear listener shoutouts and who's been trying out ChatGPT for themselves.We refer to this episode: Ep 35. Say no to dieting - check it out hereWant a mention in the next RUMPette? Tell us what you do to make yourself feel good, of if you've tried the H.A.L.T. method: rightupmypodcast@gmail.comThank you to our team:Music - Andrew GrimesArtwork - Erica Frances GeorgeVoiceover - Dave JonesSocials - Kate BallsIf you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and it really makes a difference in helping to convince hard-to-get guests. Thank you!Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | PatreonInstagram: https://www.instagram.com/rightupmy/Facebook: https://www.facebook.com/profile.php?id=61552599655093TikTok: https://www.tiktok.com/@rightupmypodcast

In this episode, Ryan continues his conversation with Robin Daniels, the CMO at Zensai, as they discuss various use cases of AI in human development. The episode delves into how Zensai leverages AI tools like Microsoft Copilot and ChatGPT in their products to enhance learning, performance management, and employee engagement.  Join 2,500+ readers getting weekly practical guidance to scale themselves and their companies using Artificial Intelligence and Revenue Cheat Codes.   Explore becoming Superhuman here: https://superhumanrevenue.beehiiv.com/ KEY TAKEAWAYS Zensai leverages AI in their products, specifically with Microsoft Copilot and ChatGBT, to enhance learning, performance management, and employee engagement. Zensai strategically focuses on Microsoft technologies for rapid development, distribution, and trust in the industry, rather than building their own AI team. AI helps in creating courses quickly by analyzing documents or videos, reducing the time spent by learning and development teams significantly. AI provides recommendations for managers on how to respond to employee feedback, enhancing communication and problem-solving in the team. Robin uses AI daily for various tasks, such as summarizing documents, analyzing data, and improving efficiency in workflow, showcasing the practical benefits of AI integration. BEST MOMENTS "We are building what we call the 'human success platform', and it's really focused around three core vectors. One is around learning, one is around performance management, and the third one is really around employee engagement." "We've now instituted what we call AI coaching, where the AI can read through that [data] and come up with a couple of recommendations for how I can respond in the best, most human way." "Why do 70% of people want to quit their jobs? Because they don't feel like there's any future in what they're doing. They're not learning, they're not growing, they're not developing, they feel like stuck." Ryan Staley Founder and CEO Whale Boss ryan@whalesellingsystem.com www.ryanstaley.ioSaas, Saas growth, Scale, Business Growth, B2b Saas, Saas Sales, Enterprise Saas, Business growth strategy, founder, ceo: https://www.whalesellingsystem.com/closingsecrets

Join Patreon here, https://patreon.com/Relatables69?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink TIMECODE 0:00 Intro 1:48 Using chat GBT to get girls 6:50 Cheating not cheating 20:50 Have a MacHappy day 24:50 How of you know when she/he is the one

Laura feels guilty after receiving tons of compliments for a poem she performed in front of a crowd. That's because she didn't write it. Laura also models her Cheapo Outfit of the Month (once called the 73 Dollar Outfit.) It's a complete head-to-toe look for less than a hundred bucks. Full details and links at www.lauracainafterdark.comRegarding outfits, Laura struggles with what to wear as the Mother of the Groom to Charlie's wedding this month. Erik has a gross and annoying encounter with a little kid and some pudding. A round of Rando News, gifts are exchanged, insults are hurled, laughter is plentiful and the Secret Sound is still unguessed. Listen now to see if you can figure out what it is. The winner gets $100 cash. Guess away in the comments below or on IG, TT, FB, or lauracainad@gmail.,com Coming up soon...our Stand Up Comedy competition. Have a relaxing, happy Fourth of July weekend. Love your podcast!Become a supporter of this podcast: https://www.spreaker.com/podcast/laura-cain-after-dark--4162487/support.

We thought it would be interesting to ask AI some questions to answer for you. The question Erica plugged into ChatGBT was “Common questions Christian women have in today's culture.” I had no idea what to expect but I was honestly shocked and so excited to see the questions it pulled together. There were some hard-hitting questions in this episode, and we'd love to hear your thoughts and opinions. Here are the questions we tackled. “How do Christian women navigate the tension between traditional gender roles and modern expectations in today's society.” “How can Christian woman reconcile their faith with societal pressures related to body image, beauty standards, and self-worth.” “What advice do you have for Christian women who struggle with balancing career aspirations and family responsibilities.” “How can Christian woman find and cultivate a supportive community of like-minded sisters in Christ for encouragement and accountability.”

In this episode, Andy Humphrey plays a recorded live event with Spencer Haws from the Seller's Summit conference, the importance of website ranking, and managing multiple businesses. Spencer delves into Google's algorithm changes, AI's role in search, and diversifying platform presence. He discusses the significance of internal link structure, creating a fast-loading website, and standardizing publishing processes. He also explores content strategies, optimizing content, and tactics to boost revenue.  CHAPTERS: (0:00) Introduction and discussion about Seller's Summit conference (5:06) Importance of having a website and ranking on Google (10:18) Discussion on managing multiple businesses and focusing on nichepursuits.com (17:42) Understanding Google's algorithm changes and the role of AI in search (19:31) Diversifying platform presence and cleaning up old content for better SEO (23:16) Restructuring your site and the importance of internal link structure (25:17) Creating a professional and fast-loading website and standardizing publishing processes (30:31) Content strategy: what to publish, using Google search console for keyword insights (35:00) Updating content regularly for SEO and process of optimizing content (37:18) Optimizing your site to boost revenue and tactics for increasing revenue KEY POINTS: Spencer Haas shared his experience of scaling website traffic by publishing a significant amount of content, revealing that he increased his output to over 1000 articles in a year which led to a traffic boost from 100-200k views a month to 700-800k. He emphasized the importance of updating old content and optimizing new content with a focus on internal linking and keyword targeting to improve SEO and Google rankings. Spencer's approach to content resulted in substantial revenue growth, where display ad revenue alone began to cover the entire content budget, turning other income streams like product sales and affiliate marketing into pure profit. TRANSCRIPT Andy Humphrey: Hey, my friends. Welcome back to the Sprink Leonard Show. I'm your host, Andy Humphrey. This is episode 169 coming to you from the 10th floor of the Westin Hotel in Fort Lauderdale FL FLL. I'm not really sure what the second l stands for, with the airport code, FL4 Lawter Layle, Anyway, it makes me every time I I see the airport code code FL, it makes me wonder what it is or why. Andy Humphrey: I should just Google it. What's the second l? Okay. I am recording this episode here at the hotel because I'm at a conference called Seller's Summit think I've actually recorded 1 or 2 other episodes here at the conference because I come every year. It's super fun. Andy Humphrey: And if you are looking to, start your own, let's say, blog or physical product, or other kind of digital commerce style business, then, you might wanna check it out. Come down next year. Seller's summit. Dotcom Andy, learn. It's a fantastic conference for learning, meeting other new and successful digital marketers, which are often hard hard to, hard to come by. Andy Humphrey: And it's pretty fun to get a room full of other other nerds, not just sprinkler nerds, but but nerds in other, categories, other product categories, other content categories, and it's fun to get together and see what happens when all of the brains start firing at once. So I'm here this week. I I had the opportunity earlier in the week. I flew to Atlanta, Georgia on Monday to visit with the site 1 ecommerce team a super great team. And, if any of you guys that I met this week are listening to this, I really think, you know, that, you will be successful delivering the future to the market. Andy Humphrey: And I really do think that is the role of the site 1 e commerce team on the street level, the CX specialists is to deliver the future, to customers as it relates to commerce, how to order efficiently, etcetera. So congrats, say, one for building a fantastic team, and thank you for having me come speak at the event. It was really good. Andy I can't wait to see what what, what comes what happens this year from the team. And then, right after that flew down here to Fort Lauderdale, for the conference. Andy Humphrey: And then just, just today, actually, met up with my, friend, more more new friend, but, we've known each other. Justin Richards. He's AKA, the sprinkler dude, So we had the nerd and the dude Andy, had a great, great lunch at this, like, apparently a famous Wings Plus, Restaurant Andy Coral Springs, and just talked about some technology tips tool tricks, just fun stuff. And Justin's got a lot of great energy. Keep it up, Justin. Andy Humphrey: Great to to spend some time with you in person Andy look forward to to learning more together in the future, maybe collaborating on some things. And, we'll see where it goes. What I wanted to share with you on this episode is a short well, it's not short. It's probably 45 minutes of something that I recorded. Here at the conference, a speaker, his name is Spencer Hass, and he he'll he'll tell his story but he is the owner of niche pursuits.com. Andy Humphrey: So if you would like to learn about how to start your own blog, your own content site, your own website. That's, that's what he does. He's a fantastic resource. He has a software tool called Link Whisper, among others that you can take a look at. And he spoke today about how to rank your website number 1 in Google, and he ran multiple experiments over the years producing almost a 1000 blog posts in a single year. Andy Humphrey: And one of my takeaways is that he is not he did do an AI experiment which you can find on YouTube if you're interested just Google, Spencer Haas or a niche pursuits Andy you'll probably find the experiment that he ran doing, building building traffic and content using AI. But, it wasn't he didn't really recommend AI. He told his story about actually using real human, man or woman power. To write articles and his exact strategy. It's like 8 steps to building a content website that ranks on Google. Andy Humphrey: And I thought this was relevant because websites cross all product categories. It doesn't really matter if you are a landscaper, if you are an irrigator, if you sell tennis gear online, if you are a doctor, if you are a lawyer, if you are an accountant, it it doesn't matter. Everybody needs a website. Everybody needs Everybody needs to rank. And so I thought that this would be very applicable for landscape and irrigation people, not just the contractors, but everyone in the industry, if if you wanna improve your website and you wanna learn a little bit more about SEO, that's what this episode is is all about today. Andy Humphrey: And so I recorded it just on my little DJI wireless mic, recorder. It's actually a lavalier mic. But it it worked decently well. And then I actually use some AI tools to clean it up a little bit and make it sound better for everybody. Andy I think that it does sound good. Andy Humphrey: It does not sound great, but it doesn't sound bad either. So I hope you enjoy this episode hearing from Spencer Haas about how he ranks number 1 in Google. I think my biggest takeaway is he does spend $200 to $250 per, let's just say, per episode, per article that he is writing Andy for the, experiment or the business that that he used in the experiment, he now makes anywhere from $25,000 to $35,000 per month in revenue generation coming from, you know, various traffic sources and affiliates and things. And so he spent 6 figures Okay? So 100 that over a $100,000, he spent writing, having the team write all of these articles. Andy Humphrey: So I think I'll end it here because I know his his talk is 45 minutes, and we're already moving up here to 7 or 8 minutes. So thank you so much for listening. If you have a moment, please share this episode with a friend, and this episode might be worth sharing if you have friends in other industries because they can learn a little bit more about SEO and how to rank number 1 on Google. So with that, we'll roll the intro and get right into the episode. If you are an irrigation professional, old or new, who designs, installs, or maintains high end residential commercial or municipal properties, and you wanna use technology to improve your business to get a leg up on your competition even if you're an old school irrigator from the days of hydraulic systems, this show is for you. Spencer Haws: Alright. Thank you, everybody, for, letting me be the final speaker, I guess, of the day for, solar summit. I'm I'm really excited to be here. Like Tony said, this is actually my third, maybe 4th time, to be here at summer summit, so really excited to be back. So by rings of hands, how many people out there love this Google? Spencer Haws: By the new Andy? How many people hate Google? I have almost as Andy hands. She'll notice that I've raised my hand both times. Because it's very much a law paid relationship with Google. Spencer Haws: But today, I'm gonna be talking about a system for creating content at scales ranked number 1 in Google search. Now, just if I were if this presentation were to be a YouTube video. This is the thumbnail. I've been used. So you should be very excited to watch this because it's gonna be very good, very entertaining, just very exciting. Spencer Haws: I'm gonna share some of the results that I add to increase the traffic to my website from Google by fighting their media finder soon. But just to give you a little bit of background about who I am. Who's called, I am the founder, owner of Mitch pursuits.com. It's log. I started back in 2011 because I had just put my show from building niche websites. Spencer Haws: I had built previous to 2011 dozens dozens dozens of small niche websites that targeted very specific keywords that ranked in Google Andy I was able to make enough money from those niche websites that I was able to, with my job, I was making more money than, I was making Wells Fargo Bank the time of the background nowadays. And so ever since 2011, and I hone theintroduces.com, we're gonna blog about digital marketing, building into websites, affiliate marketing, Now probably YouTube channel, a podcast that have been running for, 10 years created a a few software products as well. Along the way, but I've always had sort of this, SEO focused content at that way forward. So I've been very involved in this world for a long time. So, I wanna take you guys back just a couple of years in my business, Andy maybe you can emphasize with me where I was. Spencer Haws: I had a lot going on in my business. So I got a blog that I had started called omniard.com as a niche website that I had started as a public case study. I had documented the entire process for my blog readers, for my audience. And so I was very involved in building that site Andy growing it Andy sharing the results of that case study. Andy as well, I owned I had actually acquired a summit with a partner, called mom.dotcom. Spencer Haws: So believe it or not, 2 dads owned a mom blog, and we Andy that for a number of years. So I was very involved in that, operation as well. Andy that since 2012, I'm on a blog called runnersold.com. I am a runner. I've done several verathons Andy, so I was involved in in that running that website, as well. Spencer Haws: And then, as I mentioned, I've started the number of software products. So I had a software product call table labs that I had created the idea that I picked programmers such as to own the sales and marketing for table labs. Andy, of course, why not start a second software product? So Link Whisver is another software product that I started a few years ago, was growing rapidly, and that was requiring a lot more and more of my time as well as sales were growing to that business. And then, of course, I've been running the niche pursuits podcast for over a decade now. Spencer Haws: I was doing all the interviews, the weekly episodes, and that required a lot of my time. As well. And so maybe as you think about some of this, maybe you guys have several things going on in your business as well and lots of different accounts. But, oh, yes. Also, I am a Ameriabot runner, so I'm gonna make free time, which I had tons of. Spencer Haws: I was training for a mirror on running lots of miles This is the main reason. The finish line at the Boston marathon last year, in April, of 2023. And, What you may notice in this picture is that I put on a few pounds since this picture. I stopped throwing after this marathon. I have lots of injuries. Spencer Haws: That's a law story, but I'm in a recovery mode for the last 12 months. So, oh, yes, I also have a fan out, married, about the 4 kids, 2 of which are moving away to college in September, studying to you. And so, you know, that requires lots of my time. And so one night I was laying all of this out to my wife. I was explaining, I have this business and this business and this business. Spencer Haws: I feel like I just don't have any time to focus on any single one of these businesses. Peggy, I'm all over the place on scatter. How can I figure out how to focus deepwater my business to truly scale what's important in my business? And I as I was laying there Andy visiting my wife, and sort of laid out on my 12 months and I asked her this question, I laid there Andy I was thinking, you know, waiting for her response, as I'd listen, all I hear is a quiet store. I took my one to sleep explaining all of my business problems. Spencer Haws: So my goal here today is to hopefully not put you to sleep. But to keep you awake, actually hopefully energized about your own business Andy maybe there's gonna be a few things here that I share that you can apply to your business to hopefully scale and grow your business. Okay. So I thought about how can I be part of my business? Again, this has gone back a couple of years, but here's what I did as I had sort of this crisis moment. Spencer Haws: Well, I sold Andy yarn.com, the mom blog that I have. Well, we sold that Table Labs, the software company that I've had, I sold that as well. Runner's goal, the blog that I've forever, I decided to outsource all the content and essentially let it sit. It wasn't integral to my business, so it became a hands off approach. Link whisper.com, I had a growth marketer in 2022, and he's been able to take a lot off of my plate to help grow that business. Spencer Haws: The niche pursuits podcast I hired a podcast post. Now originally, hey. I've been the voice of this podcast for 10 years. People are gonna stop listening to the podcast, certainly, if I stop, you know, hosting every episode. Well, the reality is is that the person I hired is better than an AM Andy people enjoyed the podcast even more. Spencer Haws: And so it was it was a good move, to remove my podcasts. Andy so finally, this left me with niche pursuits.com, the original blog that I had started when I quit my job in 2011. I finally felt like, hey, I've got some time where I could focus on this and try to scale it. So I tell you this whole story to get to the point of where I finally made this radical decision, made all these changes in my business, Andy I created this system to scale my content on enter pursuits.com Andy hopefully get all this sweet traffic from Google. And so, I'll take you over a period of about 12 months where I implemented a lot of these changes, and it's now been about 2 years So you can see a lot of results. Spencer Haws: So I don't know if you're gonna read this, traffic graph, but this is basically the history going back all the way to 2012 or 2013 here, on this chart, but you can see that my traffics and intro suits sort of fluctuated between about a 100,000 to 200,000 page views a month. Right? That's just kind of where it lived over the years. Going up and down. And I wanted to grow it much faster. Spencer Haws: I wanted to achieve much bigger heights. And so when I did start implementing some of these changes, you can see that in about mid 2022, here, you can start to see the traffic grow, quite rapidly. And as a heads up, the metrics on this graph are actually weekly. So I took my, traffic from about 100 to 200,000 a month to about 200,000 visitors a week. And so overall, my traffic increased before I was getting about 150 to 200,000 page views a month. Spencer Haws: Now my site is getting 700 to 800,000 page views a month. I did get an emailing of the page view a month mark. In 1 month, I had a ton of traffic coming from Google to scrap it 1 month, but, typically, it's looking sort of this this bandwidth, here. And if you okay. Before I jump into the tactics, which I promise I'm gonna get you, I have 7 steps of how you can implement these strategies, the sentiment, I thought it would be important to add sort of this quick note, this side note about Google. Spencer Haws: At the beginning, I had to reach her Andy this love hate relationship. Google, is like any platform with algorithms is always making changes. So how many of you out there heard of the Google helpful content updated? Okay. A good number of them. Spencer Haws: Right? This is a big update that came out in September of 2023. It hit a lot of independent bloggers really hard. A lot of people lost significant portions of their traffic, and it was suddenly devastating to a lot of these bloggers. My site wasn't hit, fortunately with that, but it is a big risk. Spencer Haws: There are these updates that come out. In March, there was the Google March for update that again was another big update that a lot of sort of independent smaller bloggers solar traffic decline. And there is new, technology. Right? We've got AI or Google is very much embracing AI. Spencer Haws: And so they got what's called a search generative experience. If you do a search on Google, you've probably seen that AI summarizes the answers at the top. Google is now calling it, AI overviews. They announced this on Andy, It's now called AI overviews, and it's rolling out to everyone within the United States, I guess, right now, this week, Andy so more for people who are going to start seeing these AI interviews, overuse. And so we don't have a full impact of that. Spencer Haws: Will that start sending less traffic to your website? Because now people can just get the answer with this AI, overview. I think that's a likely conclusion but, we don't doubt how many searches this will impact. Alright. So I say all of this to sort of make you well where of the platform risk, with any platform like Amazon, like Instagram, like TikTok, like YouTube, including Google, there is platform risks. Spencer Haws: So I wouldn't put all of your eggs in lawn basket, Google is one sort of error when you're quiver if you try to get traffic to your website. But if you are not, implementing any sort of SEO in your business, I definitely would recommend it. And if you wanna go down that path, this is the presentation for you. 7 Okay. So here's what I did to sort of 5x my traffic in a period of about the pipelines. Spencer Haws: So my first step was to clean up all the content. Now, even if you can't read this, this is essentially a screenshot of Google Analytics. Google Analytics provides a ton of information that you could jump into. You can look at all of your old blog posts Andy you can see how much traffic those are giving, whether it it might be category pages, pages, or it might be individual blog posts. And, in my case, I had lots of articles that had been been written years and years ago that was essentially getting no traffic. Spencer Haws: Andy so I started to clean all of this up. I would there there's a few keys that you wanna look at to decide, do I wanna remove this? Do I wanna update this, or do I wanna redirect it to a different blog post? If it has any links from external websites pointing to it, you probably want to keep it or redirect it. If it doesn't have any links, pointing to it, and it's not getting any traffic in my example, I looked for articles that were getting less than about 10 visitors a month. Spencer Haws: It had no links getting less than 10 visitors a month. I'm probably just deleting power. Just removing it from my website and moving on. Unless it was sentimental to me where I felt like I could really update this content and make it way better. But that is important for step 1 is to clean up your old content. Spencer Haws: Now look at all the website clients over ten years old, maybe move to a website that's a few years old. Along the way, you might have broken links as well. This is just a screenshot from a linguist Bert, which is my tool. You can use any tool to find, broken links to your website. You find those links that are giving four or four pages, and you can remove those or fix those very quickly. Spencer Haws: Either with Lakeless work or just manually do that, you wanna do that to show that, hey. Who will have an active website? I'm not sending people, to broken pages. So it's really important that you take this first step to go ahead and clean up your blog, clean up that all the content, that is on your website. Okay. Spencer Haws: Step 2 is that restructure your sites that you can optimize it for maximal success. Okay. So I over the years, I created, like, 2 dozen different categories on my website. And when I looked at that, I realized there was a lot of categories that weren't relevant anymore. And so, I went through Andy I actually deleted a lot of categories and changed the categories the individual blog posts were in. Spencer Haws: So I paired it down to about 10 or so categories that are now on my website. This just, again, it makes it a lot easier for Google to crawl on your website and kind of see what really is important And so, to have a more minimalist structure, is is a good idea. So if you have lots of pots or categories, on your website, look at how them might be able to reduce that number. And then again, I use the link whisper to look at the internal link structure of my website. This tells me which pages are orphaned pages. Spencer Haws: Don't have any internal links pointing to them. Which these, you know, have only 1 or 2 internal links Andy maybe be more, because, again, that is what Google is looking at that sort of the backbone of your own website is the internal links, the structure, of hyperlinks pointing to individual blog posts. Andy, again, there's lots of tools that you can use, but you need to be looking at the internal links and figuring out, okay, if I don't have any internal links pointing to this article, But Will is gonna have a hard time of finding this. I should probably build an internal land. To that page, the the Google will crawl it more often Andy might even rank it higher within search agents. Spencer Haws: This is one of the few types of links that you have a 100% control over is these internal links And, with Link Whisper here, you can get a full report of how many inbound internal links each of your articles has, and you can then go ahead and build those links. You can, add those individual links. Linkrow score will go out. It'll crawl your entire butt side. It will find the related links for you and actually build those up for you as well. Spencer Haws: There's other tools that do this, or you can do it manually, but the important part here is just to make sure you have this good internally structure of your website, and that's gonna really help you print out your site, overall. Now the other thing that I did because I had 100 Andy 100 of posts is I figured out where my content gaps were. So if you've written a couple of articles on one particular subject, you know, here I have sort of a drop shipping pillar Right? I've written a few articles about drop shipping, but to really become a topical authority, I realized, hey, I need to be writing other articles, more general topics, maybe. What is drop shipping? Spencer Haws: How to start a drop shipping business? AliExpress drop shipping? If I could show Google that I'm an expert in, a dozen different up these these keywords to have the total topical cluster together, that's gonna help each individual article rank better. And so, for me, it was a pretty manual process to basically just go through and and kind of use some keyword tools and think through Alright. What keywords am I missing? Spencer Haws: How can I show that, I am on top of an authority in this subject and to build out more content, for that particular topic? Okay. Step 3 is that, you want to create a professional looking website. Now as simple as this sounds it really is extremely important. 1, you wanna make it look professional, but 2, you wanna make it extremely fast. Spencer Haws: You want it to load quickly for visitors so they don't leave your websites, upgrade to ports code. And I will simply say that you should make it extremely mobile friendly, more and more traffic are using mobile devices. So if you do get a website redesign or if the only place that you're looking at your website is on your laptop, you should probably pull up your mobile phone and see how it actually looks and interacts because most likely, most people are using, their phones to actually navigate your website. So if you do meet our redesigned agent, extremely, mobile friendly. Okay. Spencer Haws: Step 4, and this is a big one. Standardized your publishing processes. So, this is just a screenshot from my SOP I don't expect you to be able to read everything on here. But if you go to introduceus.com/contents0p, You can get this for free. There is no email required. Spencer Haws: This is just you go to an immediate download if you go to this link. I don't need your email address or anything like that. But this will get you my spreadsheet. This will get you this will show my Trello board. This will get you it's it's a full pdf of my entire process. Spencer Haws: Basically that I'm used. But I have a lot of details, because I hired a lot of writers and editors, and you need to write out specific instructions for those writers for tone of voice, what type of content to include? Who's the target audience? A lot of these things that you need to initially tell your writers, your editors, what they need to be doing because otherwise they're gonna just kind of write whatever they feel like. And it might not be optimized for Google properly. Spencer Haws: So you need to have very specific, processes in place. So the way that I do it is I basically I have a spreadsheet. I hired, you know, over a dozen riders, this I'll, share here in a second because they did lose a lot of content. They have a spreadsheet that they go over to. I put all the keywords that I want them targeting, and then they go and they self assign they write their name down down next to the keyword that they want to write about. Spencer Haws: They start writing that article based on my standard operating procedures, and then they follow this trello board process where they basically write a helpline out when it gets approved, by an editor or myself, they move their trial card over, or they start writing that article, Andy then it moves over to the editor, then it moves over to a graphic designer to do any featured images. And then, and then the sort of final spot check by myself Andy, then it gets published Andy, tire, you know, process in place to make sure everyone is following the the same process. And then the final step, when we get published on every single article, we make sure that it has an internal link, at least one internally pointing to it. So multiple internal links would be great, but at least one. And then also every article that they write will make sure, hey, within that article, if you're leaking out to 1 or 2 other within our website. Spencer Haws: So that there's a process in place so that I'd be here down the road. We don't come back and look at our content and go, oh, we have a 100 blog posts Andy there's no internal links pointing to any of them. Now what are we gonna do? Well, if you set up the process from day 1, you don't have that big problem and that big job that you need to handle. Later down the road. Spencer Haws: Okay. Step 5 is to publish tons of content, So when I decided I wanted to go big, I thought, you know what? Let's not hold back. Let's really go big. Right? Spencer Haws: And so I actually did make a YouTube video on this, this really is my thumbnail, for that YouTube video if you wanna watch it, but you know, I tried publishing a 1000 blog posts in 12 months, and here's what happened. Right? And that sort of gave you the whole process that I set up. For that, but it was my goal in 2022 to publish a 1000 blog posts. I thought, you know what? Spencer Haws: Let's just go big. Andy if I'm getting traffic from Google already, what happens if I just scale this thing? Why not? Let's see what happens. And so just to give you an idea of how many articles a year I've been publishing, this goes back a few years. Spencer Haws: Right? I was publishing anywhere between 50 Andy 200 ish articles a year in 2021. It looks like it went really big and had, you know, 225, articles that year, so you can kinda understand Andy, how much content I had to publish you on the site? Well, in 2022, I didn't quite hit my 1000 blog post in a year, but you can see I significantly scaled, like, 4 x, what I had done, the previous year. I think I ended up at late I don't remember what it was. Spencer Haws: It was 878 articles or something like that. I fallen just short of my goal. But I'm happy to report that in 2023, I did more than a 1000 articles. We actually published 1325 articles in 2023. And so I was able to scale it even bigger. Spencer Haws: And so huge jump in the number of armored pulls that I published. And as I shared previously, the the results in traffic fall almost in lock status. I 4 or 5 x pipe article output, I 4 of Webex, my traffic, my blog. Right? And so I was able to do that. Spencer Haws: Again, had to hire, Oh, over the coming years, definitely a couple dozen writers, couple editors, an outside manager, an entire team that has followed this entire process. I didn't write more than maybe 5 of those blog posts myself. Right? These were all written by other people that I'm managing all this. This is not me writing, the articles just to be clear that in previous years up to 2021, I did write every single article on my block for over 10 years. Spencer Haws: Okay. So, maybe one of the big questions that you might have is well, what type of content should I publish on my blog? Now I'm gonna give you just two strategies here that, that can produce significant results. The way the the license that you need to get into is that Google is basically already telling you what type of content you should be publishing. Right? Spencer Haws: So this is a screenshot of, Google search console right? This is just an example. So you can go to your Google search console. You can see which pages are getting traffic, on your site, and then you can dial that in and see which keywords are actually bringing traffic to that page. And so I've just highlighted one of these keywords, Andy it's not become an Amazon product tester. Spencer Haws: I believe it's what it's called. Andy so the the page that the school search console is for is actually, the title of the article is not how it can come in Amazon product tester. I just happen to be ranking for that keyword. That's just one of the keywords each article in Google, if you didn't know, we'll opt to rank for a 1000 or more different keywords variations. Right? Spencer Haws: And so this is a variation that it was ranking for, and it wasn't perfectly aligned with the topic of the actual art. And so Google is sort of telling me, hey, you kind of have some authority for this out of becoming an Amazon product. Sister. And we're sending traffic to this other article, but if you wrote an article called how to become an Amazon product tester, I bet you'd rank number 1. And so that's what I did is wrote an article titled how to become an Amazon public tester. Spencer Haws: I ranked number 1, and I now get traffic for that. How did I find that keyword? Well, the Google told me, right? So use your Google search console. You have thousands of keywords in there that you're already ranking for, that I bet a lot of them are not specific to the article that you've already written. Spencer Haws: I hope that makes sense, because it is a very powerful strategy that I use a lot, the other, way that you could look at this is sort of finding keyword veins. Right? And again, it's essentially Google telling you paid you should write more content about this subject. So this is just a screenshot of, Google Analytics, and I just highlighted some keywords all related to basically chatgbt Andy AI, content production. I have tested out a few of these types of content, like Hey. Spencer Haws: I've been writing articles with chatty PT, etcetera. And I started breaking and getting traffic for that. And so my could have stopped there said, I wrote 2 or 3 articles about, you know, producing content with Chat GBT, but, no, I scaled them and said, hey, there's, like, dozens dozens of variations and related keywords, right, all related to Chat GT or using AI. That became a full new sort of vein of keywords. Goo again, Google was telling me, hey, you kinda rank for this subject you should write dozens more keywords about this subject. Spencer Haws: So, as simple as that sounds, most people don't do that. They write 1 or 2 keywords and then they move on. If you are getting a little bit of traction in Google, double down on that. If it's working, doubled down on it. Almost guaranteed to get non traffic from Google because they're signaling to you, Hey, we like what you're doing there to more of it. Spencer Haws: Okay? So that's just 2 keyword strategies, that I used a lot of. Okay. Step number 6 here is, to update content regularly. When you have thousands of articles on your website, This becomes even more and more important. Spencer Haws: Content decay is a thing. Information within your blog posts get outdated. They need to be updated to make sure they're current Andy Google loves freshness. So, Google loves to see things that have been recently published, Andy one way to do that is even if you wrote the article 2 or 3 years ago, is to make a few updates at a new paragraph, make sure everything's current, Andy when you republish that or hit update, Google sees that, it gets a little bit of boost in within rankings. Right? Spencer Haws: And so this is just Again, my spreadsheet, just to say that I'm very specific about the process that we use, we talk where it's ranking in Google before we do any updates, what keywords it's ranking for. We go through. We make updates. We use tools like market views or surfer SEO. These are tools that are specifically designed to help you update your content. Spencer Haws: They tell you keyword opportunities that maybe you're missing, within your your article, sub keywords, secondary keywords that you can add to your content. So we go through, we do that, and then we hit we hit update Andy publish that content in your document. That entire process here. And so, those are a couple of tools that you can check out if you want, artwork use, server SEO. There are others. Spencer Haws: And then Of course, after we publish every single article we drill through, we do an internal link sort of audit. We look at that. Say, hey, does this be new internally since we published it a couple of years ago? Should we actually remove some internal links that are relevant? I use linguist for, of course, to do that. Spencer Haws: It makes it really fast, really easy to add. Those new internal links to old content that you published previously. Okay. Step 7 is to optimize your site to make more money. That's the bottom line. Spencer Haws: Wanna make more money from the website. And so I went through, I added a lot called the action boxes whether it's in the sidebar or little slide ins, if it's mobile, we want to show that, hey. If you're reading an article about the script, here's a a link or an offer, or here's a way that you can go find rapidly easy. Now if you have your own e commerce store, of course, figure out ways to have those those buy buttons make it really easy for people to go and start that checkout process so they can buy the product. This is a big deal. Spencer Haws: It's really increased the revenue of my business, by adding a lot of these specific buttons. Call the actions, making a lot easier for people to buy. Now the business model for namespursuits.com it isn't all just affiliate links. Right? I want people to get on my, email newsletter. Spencer Haws: And so at it, different landing pages, different ways that people could sign up for the email newsletter because I've gone from, you know, a 100 to 200000 pages a month to much, much more, And so for something a lot more people are now joining my email list because I'm making a lot easier Andy wants to put it on my email list, they can either buy my products or I refer them to to other places. I could show that audience once they're among, the email list. And so, one way that I make money, you know, from my website is they get on my email list. I hope they get all when they buy link whisper. My software tool, that I have, and, that site my business has done very well, but it all sort of started with all of this additional organic search from Google and getting a lot more eye draws to every single month, it makes it a lot more easy for me to sell Haimler products. Spencer Haws: Okay. And then here's just a screenshot because Way traffic had increased so much in the beginning of 2020 3. I had never had display ads on my website ever, but I was kinda like, well, I'm just kinda getting a lot of chat. Maybe I should just put some ads on my website. And this screenshot for mediavine, shows that I can't even quite read the numbers myself, but it's making, you know, 25 to 30000 a month. Spencer Haws: Now just in display ad revenue. And so all of this traffic, is essentially all paid for Andy then some just with display ad revenue. Right? And so that's paying for my entire content budget. My entire team to run all of this thing. Spencer Haws: And then everything else I make on top of that with my email list, with Link Whisper, Joe, any other products that I sell, That's all pure grainy. It's all pure profit, essentially. Right? So just understanding the power of what additional traffic can do, whether it's coming from Google or other places, it could be really, really big about forwarding business. And then, oh, yes. Spencer Haws: I do have a Shopify app, for Link Whisper. If anybody is interested in that, that's, you know, that's just another router to stream on top of everything else that I should do. But that is pretty much it. Thank you all so much for letting me go through my process, for scouting my content. I have a time for questions.

EP319 - Amazon Q1 2024 Recap http://jasonandscot.com Join your hosts Jason "Retailgeek" Goldberg, Chief Commerce Strategy Officer at Publicis, and Scot Wingo, CEO of GetSpiffy and Co-Founder of ChannelAdvisor as they discuss the latest news and trends in the world of e-commerce and digital shopper marketing. Episode Summary: In this episode, Jason "Retailgeek" Goldberg and Scot Wingo dive deep into Amazon's first quarter results for 2024, analyzing the company's performance in various segments such as retail, offline and online sales, marketplace, AWS, and advertising. They also explore the impact of AI on Amazon's business and provide insights into the company's future guidance for Q2 2024. Amazon Q1 2024 Earnings Release Amazon Q1 2024 Earnings Call Transcript In our latest episode, Jason and Scott cover a range of topics, starting with their reflections on recent events such as May the 4th and Cinco de Mayo. Jason shares intriguing stories from his extensive travels and interactions with listeners worldwide. Scott delves into the intersection of e-commerce and the auto industry, honing in on Carvana. The duo also delves into the U.S. Department of Commerce retail indicators data, shedding light on trends in retail sales and e-commerce growth. The conversation pivots towards Amazon's recent earnings report, contextualizing it within the realm of AI investments by tech giants like Meta and Alphabet, offering valuable industry insights and analysis. The discussion continues with a focus on Amazon's earnings report, zooming in on concerns around AWS amid heightened competition from Alphabet and Azure. The rising trend of AI investments, particularly in data training applications, is explored, alongside the growing popularity of open source AI models due to cost and privacy considerations. Despite a conservative Q2 guidance, Amazon impresses with robust revenue that surpasses Wall Street expectations, particularly in operating income. The retail segment shows exceptional growth, exceeding operating income estimates for both domestic and international divisions. Notably, Amazon's performance in brick-and-mortar stores, spearheaded by Whole Foods, demonstrates resilience with a 6.3% growth rate. AWS stands out with a 17% growth, dispelling market share concerns and showcasing accelerated revenue growth, illustrating Amazon's continuous growth potential and innovation prowess. Scott delves deeper into Amazon's positive quarterly earnings report, emphasizing the remarkable revenue performance, especially in operating income. Insights are shared on Amazon's successful agnostic approach to LLM models and the potential advancements in generative AI. The conversation shifts towards the burgeoning ads business at Amazon, underlining its profitability and future growth prospects. Scot also outlines Amazon's Q2 guidance and the potential impacts of consumer spending patterns on the retail sector, including concerns about changing consumer behaviors and economic pressures shaping market dynamics. Jason complements the discussion with additional perspectives on consumer behavior and economic influences reshaping the market landscape. Furthermore, we embark on a detailed exploration of supply chain logistics, with a spotlight on Amazon's expansion into third-party logistics services, revolutionizing traditional retail strategies by sharing proprietary capabilities for wider adoption. Insights from Andy Jassy shed light on Amazon's logistics business approach. The conversation expands to include how companies like Spiffy are embracing a similar model of sharing proprietary products to drive innovation and revenue growth, showcasing an evolving landscape of retail innovation. The podcast unpacks the complex world of grocery retail, highlighting Amazon's experimental forays like Just Walk Out technology and the Amazon Dash cart, while examining the challenges in delineating Amazon's grocery sector strategy. A comparison is drawn between Amazon's strategies and those of rivals like Walmart and Target, who are adapting their product offerings to match evolving consumer preferences, offering a comprehensive view of the dynamic retail and supply chain management sphere. Dive into our engaging discussion, explore retail dynamics, and keep a lookout for more insightful content. Don't forget to like our facebook page, and if you enjoyed this episode please write us a review on itunes. Episode 319 of the Jason & Scot show was recorded on Sunday, May 5th, 2024. Chapters 0:23 The Jason and Scott Show Begins 2:56 World Travel Adventures 5:53 Commerce Tools Elevate Show 6:53 Jason's World Tour Plans 7:22 Where in the World is Retail Geek? 20:43 Amazon's First Quarter Earnings 23:23 Sandbagging Strategy 26:45 Amazon's Dominance in E-commerce 27:44 Online Segment Growth Analysis 28:53 Offline Store Segment Analysis 31:35 Spotlight on AWS Performance 34:32 Data at AWS 42:02 Gen AI Revenue Growth 46:24 Consumer Pressure 49:56 Supply Chain Evolution 53:46 Leveraging Technology 58:08 Disruption in E-commerce 1:01:54 Amazon's Grocery Strategy 1:05:01 Retail Industry News Transcript Jason: [0:23] Welcome to the Jason and Scott Show. This is episode 319 being recorded on Sunday, May 5th, 2024. I'm your host, Jason Retail Guy Goldberg, and as usual, I'm here with your co-host, Scott Wingo. Scot: [0:37] Hey, Jason, and welcome back, Jason and Scott Show listeners. It's been a while, but first, happy Cinco de Mayo, and also a belated May the 4th, Jason. Did you have a good Star Wars day? Jason: [0:49] I did. I did. I feel like Star Wars Day always makes me think of the podcast because I feel like we have spent many of them in my latter life together. Scot: [1:01] Yeah, absolutely. Any exciting new Star Wars experiences or merch? Jason: [1:08] No, I understand you got some vintage merch. merch. Scot: [1:13] It's not, but they, back when I was a kid, you would go and if you went every week to, I think it was Burger King, you would for the, I think it was Empire. I have the Empire right here. So definitely Empire, but you would get a glass. Now it turns out these were full of lead paint, which would kill you, but that was the downside. Jason: [1:32] Not recommended for drinking. Scot: [1:33] You got a very, yes, I never, being a collector, I never drank out of them. So that's good. Jason: [1:37] Saved your life right there. Scot: [1:38] Yes, but I did drink out of the Tweety Bird. So that me, me. I'm sure I got some yellow lead paint from a twitty bird glass. Anyway, so they came out with a Mandalorian kind of homage to those glasses and they were at the Hallmark store of all places, not where I usually hang out, but I got to go to a Hallmark store and the little ladies that worked there were, I wish them all an awesome May the 4th. And they looked at me like I was from another planet and it was hilarious. My wife's like, stop, they don't know what you're doing. Jason: [2:07] Wait, they didn't have a big May 4th section in the Hallmark store? Scot: [2:11] They did. The little ladies didn't know. Jason: [2:13] The overlap of people that still buy Papyrus cards and celebrate May 4th is probably not great. Scot: [2:21] It was very humbling. It was a humble May the 4th, but I got my glasses and I was happy. I'm happy for you. And then tonight we had tacos for dinner, so I'm hitting all the holidays. Jason: [2:30] I feel like we should have tacos for dinner every night, whether it's Cinco de Mayo or not, but I'm i am happy for that. Scot: [2:35] We do have a lot of tacos but this was a special single denial edition. Jason: [2:42] Well, very well done, my friend. Scot: [2:44] Thanks. Well, listeners of the pod have been all over me. They're like, why aren't you recording? And I said, it's not me. It's Jason. It's Jason. Because you have been traveling Scot: [2:55] the earth, spreading retail geek goodness. Tell us, we are way far behind on trip updates and all the different countries. It's like you're playing, do you have like a little travel bingo where you're just like punching, what is it, 93 countries? Jason: [3:09] I do. They call it a passport. Oh, nice. Yes. Scot: [3:13] That, uh, little book that you get to carry. Yeah. Jason: [3:15] Yeah. Yeah. Yeah. I have been on a lot of trips and it sounds like you and I may be telling complimentary lies because I also, I've had an opportunity to meet a lot of listeners in the last, we'll call it seven weeks and which they're always super nice. And it's always super fun to talk to people. And obviously they're, you know, strangers recognize my voice in line at Starbucks at all these e-commerce shows. And then we strike up a conversation. And then the next question is always, where the heck is Scott? Because they're always disappointed to meet me and not you. And now the new thing is, and why aren't you producing more frequent shows? And my answer is always that you're dominating the world at Get Spiffy and that you're too busy. Scot: [4:00] Uh-huh. I see. Okay. Jason: [4:02] Well, we're both very busy. Scot: [4:05] You're traveling more than I am. I'm busy washing cars. Jason: [4:08] Yes. I think both are fairly true, but I did finish a grueling seven-week stint where I got to come home a couple of times on the weekends, but I basically had seven weeks of travel back to back. In my old life, that would not have been that atypical, but post-pandemic, The travel has been a little more moderate. And I have noticed that I have my travel muscles have atrophied and I don't really want to redevelop. Jason: [4:35] So the seven weeks was a lot. Please don't ask me for trip reports for all the commerce events because I kind of can't remember some of them. They're all a little bit of a blur. But I was at Shop Talks, I think, since the last time we talked, which is, of course, probably the biggest show in our industry. And that was a very good show. I did get to see a lot of our mutual friends and a lot of fans of the show there. So that was certainly fun. And maybe in another podcast, we can do a little recap of some of the interesting things that came out of Shop Talk. I did produce a couple of recaps in other formats for work clients, so we could certainly pull something together. I also went to a vendor show. One of the e-commerce platforms out there is called Commerce Tools, and they had their annual customer show, which is called Elevate in Miami. So I got a chance to go visit there. They're one of the commerce platforms that I would say is winning at the moment in the kind of pivot away from the old school monoliths to these new sort of SaaS-based solutions. And commerce tools in particular are kind of pioneers in pushing this actual certification around a more modern earned stack that they they coined mock. And I think I think we've had Kelly from from commerce tools on the on the podcast Jason: [5:51] in the past to talk about that. But that was a good show. I got to meet a lot of listeners there. And a funny one, several listeners were like. Jason: [5:59] I would apologize for the, the, our publishing schedule lately. And they're like, I'm cool with it. I like that. Like you don't do a show if there's not something worthwhile. And then, you know, when I do get a show, it's like a treat. So I don't know if they're being honest or not, but that made me feel a little better about some of our, our, our Tardis shows lately. So those, those were good events. I also spent a week in India with some clients and that super interesting, a lot of commerce activity going on there, a lot of different market dynamics than here. So that's kind of intellectually pretty fun to learn about and see what's working there that might be working here or what, you know, why things tend to play out differently there. So that's interesting. And then I have a lot more international trips booked right now. Jason: [6:48] So coming up, I'm going to Barcelona, London, Paris, and Sao Paulo. So if anyone either has any favorite retail experiences in any of of those cities, please send them my way. I'll be doing store visits in all those cities. And if you're based in any of those cities, also drop me a line. Hopefully we can do some meetups while I'm out there. Scot: [7:07] Cool. It's Jason's world tour. You can do a little pod while you're there. Jason: [7:12] We have done a bunch of international pods in the distant past. I remember hotel rooms in South Korea and all over the place, Jason: [7:19] Japan that we've, we've cut shows from. So, so totally could. Scot: [7:23] Yeah. We'll have to do it. Where in the world is retail geek? That could be the theme song. I just sampled that. Jason: [7:30] Yeah. So besides cleaning the world's cars, what have you been up to, Scott? Scot: [7:35] Well, it's kind of funny. My worlds are colliding. So a lot of the analysts that you and I know from the e-commerce world are creeping into the auto world and their gateway drug is Carvana. So in the world of retail, we have Amazon, obviously. Well, Carvana is kind of Amazonifying used cars. They had a bit of a drama kind of situation. They were the golden child of online cars. And then they totally pooped the bed. They did this acquisition. They loaded up with debt. And then after, I think it was 21. So they had a good COVID. They surged. And then the debt got in front of them. Used car prices bop around and they kind of like got in an open door situation where they had bought a lot of cars for more than they were worth suddenly. And then they plummeted and everyone thought they were going out of business, but they have had a resurgence. So it's causing a lot of the internet analysts to now pick up auto tech or mobility or whatever you want to call it. So it was fun. I got to do a live chat with Nick Jones. He's been a friend of the show. I don't think we've had him on due to some compliance stuff that his company has rules around, but he's at this firm JMP and it was kind of wild to talk about, with someone about both Amazon and what we're doing at Spiffy, which is basically a lot of Amazon principles applied to car care. So it was interesting to have someone reach out and say, hey, I think this is a thing. And everyone tells me I should talk to you about it. And I was like, oh, yeah, I would love to. So it's kind of fun. Jason: [9:01] That's very cool. And isn't it also a thing, I think half the vehicles on the road are now owned by Amazon. So I assume that's an overlap too. too? Scot: [9:09] Yeah, not half, but a lot are. The number of last mile delivery vehicles are very, very large. And we work with a lot of them, so it's kind of fun. I started spiffy somewhat to get away from Amazon and still all I can talk about. Nope. So embrace it. I love Amazon. Love me some Amazon, Jason. Jason: [9:29] I'm glad you do. I love them too, but I feel like I spend most of my career You're unsuccessfully helping people compete with them. Scot: [9:38] Hey, got to play one side of the coin. It's a gig. You're going to be more like them or how to fight them. Jason: [9:43] It's a gig. It is indeed. Yeah. Scot: [9:46] Cool. I thought we are going to talk about some Amazon news. But before we jump in, you have done your magic with your data analysis interns. And I'm sure there's an LLM and an AI thrown in there. Let's start with some of the things you're seeing in commerce trends from the data that's out there. Jason: [10:07] Yeah. So as everyone knows, I have a little bit too much of an infatuation with the U.S. Department of Commerce retail indicators data. And these guys, you know, publish monthly estimates of retail sales in a bunch of categories. And, you know, we've talked about this many times on the show, but broadly over the last several years have been really interesting in retail. 2020, 2021, and 2022 were the greatest three years in the history of retail. Like we mailed like $6 trillion in economic stimulus. People didn't travel or go to restaurants as much. And so we sold way more goods than ever before. And so those three years, retail grew respectively at like 8%, 14%, and 9%. The 20 years prior, retail averaged about 4% a year in growth. So normally pre-pandemic, you'd expect 4% growth. We had these three, you know, wildly pandemic influence years where we grew really fast. And then last year we finished a little below 4%. So, so we were around, I want to say it was like 3.6%. So it was growth. It would, it would have been in line with pre-pandemic growth, but it certainly felt like a significant deceleration from those heady pandemic years. And so, you know, people are super interested to see how does 2024 play out? Does it? Jason: [11:32] Kind of return to pre-pandemic levels, like what is the new normal? Jason: [11:37] And we now have the first quarter's data from the U.S. Department of Commerce, and I would call it kind of a mixed bag. If you just look at the raw retail data that the U.S. Department of Commerce publishes, they're going to tell you that retail grew in the first quarter 2.8%. So that's a little anemic, right? Compared to historical averages, that's not a great growth rate. Most of the practitioners that follow this podcast care about a particular subset of retail that the National Retail Federation has dubbed core retail. And so the National Retail Federation pulls gas and automobiles sales out of that number. And gas is a decent size number and it's very volatile based on the commodity prices of gas. And auto is a huge number that has, as you're well familiar, its own idiosyncrasies. And so that's how they justify taking those two out. And if you take those two out and you get this core retail number, retail in the first quarter grew 3.9%. So kind of to align with how the NRF talks about retail, we'll say Q1 overall was 3.9%, which is very in line with the pre-pandemic historic average. So disappointing by pandemic standards, but kind of traditionally what we would expect. Jason: [13:05] What is unique in that number is. Jason: [13:09] That it's very bifurcated. There are clear winners and losers, both by categories and specific practitioners. So if you break down the categories, e-commerce is the fastest growing chunk of retail. I'm sure we'll talk more about that. Restaurants were the next fastest growing categories. And categories like mass merchants and healthcare providers outperform that industry average, every other segment of retail underperformed the industry average. So things like furniture stores did the worst, building materials did really poorly, gas stations did very poorly, electronics did poorly, and side note, electronics have been the worst performer since the pandemic, which is kind of interesting and challenging. So you've had this weird couple categories doing really well, a bunch of categories doing really poorly. And then within the categories even, if you look at the public company's individual earnings calls, what you tend to see is a couple of big players performing really well in overall retail, that's Amazon and Walmart. And then a lot of other retailers really struggling. So that even that's like in general merchandise, it's Amazon and Walmart that are lifting the boats. And it's folks like Target traditionally that have performed really well are actually struggling at the moment. So the average is kind of hard to follow at the moment. Jason: [14:37] But that is kind of how things play out. And then we have some preliminary e-commerce data, but the actual Q1 e-commerce number that the U.S. Department of Commerce publishes will publish on May 17th. So that's 12 days from now. Jason: [14:53] And crunching the numbers that we have available at the moment, that growth is likely to come in at somewhere between 8% and 10%. I'm guessing more like 8% or 9% growth. And so that also is twice as good as overall retail, and it's more than twice as good as brick-and-mortar retail. But that is noticeably slower than the historic e-commerce growth rates pre-pandemic. So kind of file those two numbers away. The overall retail industry is growing at 3.9%. The overall e-commerce industry is growing at about 9%. And then we have our friends at Amazon that dropped their earnings announcement just before May 4th so that they could celebrate May 4th, I think. Scot: [15:39] Yeah, yes, that's a good setup. And without further ado, let's talk about Amazon's fourth quarter. It wouldn't be a Jason Scott show without a little bit of... Scot: [16:01] That's right. On April 30th, Amazon announced their first quarter results. And the setup coming into these, so you had the data you talked about, but like to drill in a little bit. We had Meta, the artist formerly known as Facebook, and Alphabet, the artist previously known as Google. They announced and they both basically told Wall Street, AI is the cat's pajamas and we're going to spend anywhere between $10 and $40 billion of capital expenditures on it, meaning NVIDIA chips. So it turns out the way to play all this is basically buying NVIDIA. So hopefully you bought some NVIDIA stock. Maybe this is not a stock recommendation or when it's too late, so... And also don't take stock recommendations from podcasters. Anyway, so there was all this angst and people were a little freaked out coming into the Amazon results because Meta was down like pretty substantially, 20 to 30 percent. And Alphabet was also up substantially. You also had Microsoft come in there and they really crushed it. Their Azure is really lighting it up with AI. And they announced that they were going to invest a lot. And there's this rumor that a $100 billion project, it's got a name like Starship or something, but it's not Starship. Spaceship? Stardust? I don't know what it is. But it's going to be this mega data center, and they literally can't find a place to put it because it's going to consume so much power. So they're going to have to maybe build a nuclear plant next to it or some wacky thing. Scot: [17:31] Anyway, that was the setup. up. So coming in, Wall Street was very, very concerned about Amazon's AWS division, which is their cloud computing. Because if Alphabet is building out their infrastructure, and so is Azure, that's the two biggest competitors for AWS. And is AWS getting its fair share? And is it going to announce that it's going to have to go build some $40 billion kind of a thing? Also, another Another thing, and I'm kind of curious on if you're seeing this with your clients, but in the, I follow this, you know, the AI, you can't do much without seeing AI everywhere. But the part I'm most interested in is what are big enterprises spending money on? This is like your Fortune 500s. They're all experimenting and really getting into it. And where they're finding a lot of good use cases is training on their data. So they'll say, you know, hey, I'm Publisys. How many documents do you think are inside of Publisys? I don't know, 8 trillion documents. Documents and you know wouldn't it be helpful just the ones I created and who is this retail geek and he's he's created uh you know 90 of those and you know so you know imagine you're starting new at publicists you're gonna be like where do I start going through some of these documents for us and if you had a chat bot that was like hey I've read all that you know I can navigate you through everything that's been published or you know whatever I'm certainly you. Scot: [18:50] Providing a very big metaphor, certainly be more divisional and all this kind of stuff. But that's where big companies are spending the bulk is they're taking their data in whatever format it's in, be it a relational database, a PDF, whatever it is, they're trying to train it. They don't want it to go up into the, they don't want to train the LLM so that other people get the benefit of that and can see any confidential data. So that's really important. So it needs to be gated in these types of things. Because of that use case, open AI is not great because people are very worried. A, it's very expensive and it's only an API. So OpenAI hosts itself and you call it through an API. Scot: [19:25] Those API calls are very expensive. They're getting, as OpenAI has gotten more popular, there's more latency. It's taking forever to get answers out of this thing. And a lot of people are very concerned that even though there's ways to call the API such that it's in a window and not being trained, that maybe it leaks in there. So because of all these elements, the open source models are becoming very popular. And right around the time Meta announced, they announced their Llama, which has become quite popular. And what's nice is you can host it wherever you want. And it's kind of like WordPress, where if you are a serious WordPresser, you can host it somewhere yourself, and you can kind of understand that. Otherwise, there's other people that will host it for you. But it has the nice feature of you're just getting the weights and whatnot, and it's it's pretty clear, it's pretty obvious, it's not training itself on your data. So a lot of people like it because it's quote unquote free. It's not an API usage based. It's a pay once to set it up, pay for some resources type thing and you're done. And it's also not going to train on the data. That's one of many. There's probably 10 or 20 pretty commercial grade open AIs out there. Scot: [20:38] Okay. So that's kind of the setup to get to the earnings. things. So from a big picture, this was a really good quarter. Asterix, the guide made Wall Street a little bit nervous. So- Scot: [20:53] And one of our research analysts just said it's Stargate, which is also a sci-fi series. They must have that on Prime Video or something. There's probably some callback there. Scot: [21:01] So they beat for the quarter Q1, but then they also kind of tell you what's going on the next quarter. Amazon doesn't provide fully your guidance. They just kind of give you a snippet. So when they report one quarter, a quarter, they then tell you what they think the next quarter is going to do. So Wall Street got a little bit ahead of its skis, and the guide for Q2 was below what Wall Street wants. So it wasn't what we'd call a beat and a raise, which is the current quarter was a beat and the next one they increased. It was a beat and a guide down. So that probably tampered Wall Street. But ever since Jassy came in, Andy Jassy, this has been his MO is to be pretty conservative because Wall Street's very much an expectation engine. And the more, if you can beat and tamp down expectations, it makes it, it's a little bit rougher in the short term from a stock price, but it makes next quarter better and then so on and so forth. So it's a smart way to manage the long-term vibe of the stock, the mindset, the expectations around your stock. Okay. So revenue came in at $143 billion versus Wall Street at $142. So pretty much in line. But most importantly, where Amazon really threw people off was on operating income. Yes, Amazon is profitable. This is the proxy for operating income. True Amazonians would tell you, no, it's cashflow. We can go into that, but this is kind of the way they report to Wall Street. So this is kind of the standard operating system, if you will. So this is what we're going to use, but it's a proxy for cashflow. Scot: [22:28] That was 15 billion for the quarter and Wall Street expected 11. Well, you know, 4 billion on a world of 143 doesn't sound like much, but between 11 and 15, that's a very material beat. What is that? Like 38%, something like that. Scot: [22:44] So that was a really nice surprise. And, you know, Amazon goes through these invest and harvest periods and everyone's been feeling like they're going to be back in investing which would mean they're going to start lowering operating income as they invest but it's actually kind of beating expectations, also this is the fifth quarter amazon has come in at the high end of its guidance or above its guidance since basically you know on operating income and that corresponds with when jassy came in so this is his mo right now is to kind of like beat and lower beat and lower you know exceed expectations tamp them down not get not get ahead of his skis and it's working really well. Jason: [23:24] Sandbagging for the win. I like it. Scot: [23:26] Yes, it is. Having run a public company, this is a lesson I learned painfully. So that's something we can talk about over beer sometime. Jason: [23:33] I will book that date. Yeah. And the retail business sort of followed in line with that. They had like some nice growth, but like the real standout number was the improvement in margins and the significant positive operating income from the retail segment. So I think the actual operating income from U.S. Retail was like $5 billion and the Wall Street expectations were 4.3. So again, that was another strong beat. Total revenue, which revenue is not the same thing as retail sales, as we've talked about on the show many times, that we would use GMV as a proxy for that. But revenue was $86.3 billion for the quarter, which I think was in line with the analyst expectations. Jason: [24:27] And I think this was the largest operating income that Amazon has ever reported for the retail business. So that was super interesting on the domestic side. Traditionally, domestic has done pretty well and international has been a money loser because, you know, they've been less mature. they've been investing a lot in growing international and they haven't had the same kind of margins. This was the first quarter that they reported positive operating income for the international division. So that's another super encouraging sign for investors that maybe they've kind of passed that inflection point on a lot of their international investments that they've made in the EU and Japan and the UK, which reminds me is not part of the EU anymore. Jason: [25:13] So so they kind of beat beat international expectations across the board on income. Revenues were lower. So revenues were like thirty one billion dollars, which was below expectation. Jason: [25:25] But they they earned like nine hundred million in operating income. And I want to say the the the Wall Street expectation was like six hundred million. So so again, like a 30 percent beat, which is pretty, pretty darn good. Good. They also, a bunch of analysts have, you know, taken these revenue numbers and they try to back into a GMV number. And I would say the bummer at the moment is there's a fair amount of variance in the estimates, like different analysts have different models. So I have kind of been putting to a model of the models together and trying to kind of find a midpoint. And like Like based on that, the Amazon's GMV globally probably went up 11.5% for the quarter. So if you're comparing this to other retailers or the U.S. Department of Commerce number, overall GMV went up 11.5%. The U.S. was stronger. So the U.S. probably went up at 12.2%. So again, we talked about core retail was up 3.9%. Well, Amazon U.S. GMV was up 12.2%. So, you know, three times faster growth than the retail industry overall. Jason: [26:39] And again, Amazon is mostly e-commerce, very little brick and mortar, Jason: [26:44] which we'll talk about in just a minute. But even if you're comparing Amazon to that e-commerce number, if e-commerce comes in at 8% or 9% and Amazon's at 12%, they're by far the largest e-commerce player out there and they're still substantially outgrowing the average, which, you know, is very impressive and should be very scary to every other competitor out there. Jason: [27:08] One analyst kind of put together an estimate of what they thought the earned income contribution from Amazon was for retail and ads together, pulling AWS out. And they had it at $27 billion in earned income if Amazon was just a retail with no AWS. And that puts them right in the ballpark of Walmart that spent off about $29 billion in earned income or operating income. I keep saying earned, but I mean operating income. So, so that is all pretty impressive and simultaneously super scary. Jason: [27:45] Scott, did you drill down into the online segment at all? Scot: [27:49] Yeah. And, you know, what I would tell listeners is picture a block diagram where you have this big, big rectangle, that's the whole Amazon entity. And, you know, so what we're going to do is talk about the segments. And the first segment is the biggest one, which is the retail business. And that, that's what you just. Jason: [28:04] Biggest and best. Wouldn't you say? Scot: [28:06] Coolest. Jason: [28:07] Coolest. All right. Scot: [28:08] Cool. Okay. Yeah. Yeah. Okay. I'll, you know, I don't know. Jason: [28:11] It is for you. Scot: [28:14] Um, I think the whole enchilada, I like the, the way they do this and I'm trying to replicate it. It's 50. We'll talk about that in a second. The, so then the, you know, so then another segment is AWS, another segment, I think marketplace should be in some segment, but they don't break it out. So it's just kind of in kind of hidden inside of the blob that is retail. So we tease some of that out here on the show. They purposely hide it in there. So no one knows how awesome it is, I think. And then they've got AWS ads and a couple other things, but we'll talk about this. So as you dig into the retail business, there's a couple of ways to look at it. You can look at it by domestic and international, which Jason just did, Scot: [28:50] or you can look at it by online and physical store. So the online biz grew 7% year over year, which if I remember your stats, well, you don't have it until may 17th so on may 17th we'll be able to know how that compared but probably the one you can compare is the offline biz which is the the store comp that they have, And Jason, you saw on that one, what'd you see? Jason: [29:16] Yeah, so physical stores grew 6.3%. So again, like, you know, when we say all of retail grew 3.9%, a big chunk of that's e-commerce. Brick and mortar probably grew at like two to 3%. So Amazon's brick and mortar growing at 6.3% is actually super impressive. And it's kind of interesting, you know, for several years, Amazon has had experiments in a bunch of retail formats. So they've had these Amazon Go stores, stores. They had Amazon five-star stores. They had bookstores. They had a fashion store. They're trying all these things. And of course, the biggest chunk of their stores is they own Whole Foods. And so offline stores for Amazon was kind of a mix of all these different concepts. In the last couple of years, they've kind of cleaned house and gotten rid of all those concepts. And so, you know, nominally there's a few of their own grocery stores called Amazon Amazon fresh open, but the vast majority of online offline retail for Amazon is, is Whole Foods. And for it to be growing at 6.3% in the current climate is, is a really good sign for Amazon. And, and I would say somewhat impressive, you know, on the earnings call, they, they announced that they're working up a new format for Whole Foods, which is a smaller format store that's It's going to open in Manhattan. So I have that on my ticker file to go visit when that's open. Jason: [30:38] You know, the whole grocery space for Amazon is super interesting, but maybe we'll talk about that a little bit more later. But I will call out, they did launch a service that there's been some controversy over. They launched a $9.99 a month grocery delivery service, which essentially lets you have all you can eat free grocery delivery to your home for an incremental fee of $9.99. And they're spinning that as, you know, a cool new grocery service and enable more people to shop for groceries online. And there are a lot of articles about it, like. Jason: [31:13] They used to have free grocery delivery included in your Prime membership, right? And so they've kind of like, I look at the big arc of all this and say, there used to be a lot more free services in Prime that they've kind of peeled out. Then they started charging for, and now they'll let you get it free again for another $120 a year. Jason: [31:32] So interesting things happening with grocery that we could probably talk more about later. But I'm kind of eager to dive into some of these other businesses like AWS. Scot: [31:42] Yeah. So that's the one that everyone was really waiting on the call to hear how it went. And good news, AWS exceeded expectations. Everyone thought it was going to grow 14% and it came in at 17%. And if Wall Street likes, they like a lot of things, they like beating expectations, that's important to them. But their favorite thing is ARG. And that is not a pirate day thing, ARG. It is Accelerating Revenue Growth. Wall Street loves that more than anything. And that's what they delivered for both the ads and the AWS part of the business. And what that means is that as the law of numbers kicks in, so back on the retail business, the only time we see that accelerate is in the fourth quarter and that seasonal acceleration, right? We've gotten used to that for decades now. It always happens in the fourth quarter and whatnot. So it's what you would expect. But this is quite unusual for a relatively mature business. This thing's $25 billion a quarter. So this is a $100 billion business that accelerated. And so that tells us that there is a lot more wood to chop here. It has not gotten near its addressable market. And it really allayed fears that they were losing massive market share because they're, quote unquote, behind on AI to Azure, which is Microsoft offering, and then the Google hosting solution as well. Scot: [33:05] That does not seem to be the case. So they did very well. So they came in at $25 billion and Wall Street was expecting $24.6. So that was really, that accelerating is what really made everyone very happy. And then the operating income came in at $9.5, way ahead of Wall Street at $7.5. So another pretty material 20% beat on this component at the bottom line. And this is really interesting. There was some really good language around this. And this has been Jassy's statement all along, and it's coming true. His early Amazon's early play was we're going to be agnostic on models and it's kind of like bring your own model we'll work with anything now with open AI they're not going to ever host open AI but they'll they're not going to stop you from working with it and then they for these open source ones they've made it very easy for you to spin up an AWS instance throw a little llama in there and I would make a llama noise if I I knew what they said I guess they make like a sheep sound. So you throw a little alarm in there and it does its thing. And, you know, the benefit of them being agnostic on these LLMs is most likely they have some or all of your data, right? Because they've been at this so long that if you're doing cloud computing versus on-prem, most likely a lot of, if not all of your data is in AWS. Extracting that data, you know, imagine you had terabytes or or what's the biggest, Scot: [34:31] bigger than terabytes? I always forget this one. Jason: [34:33] Petabytes. Scot: [34:34] Petabytes of data at AWS. They literally have a product that they can send a truckload of hard drives around and get your data. That's how much data there is that you could never push it across the internet, that there's so much data. So if they have that data and that's what you want to train on, you don't want to have the latency of the internet between your data and the training. So you'd really need the LLM to operate near your data. And this is what they predicted two or three years ago, kind of around the, the, the launch of chat gpt when all this stuff really started to accelerate and it's coming true so everyone feels a lot better about that then their body language this time a lot of times they were kind of like this is what we're doing and we're pretty sure it's going to work now they're like it's working and people really felt relief around this because everyone there was a set of people that believed it but then you know open ai's pitches nope our lm is going to be we're spending, billions of dollars we're going to be so far ahead none of these open source things are going to keep up. If you don't have us, you're going to be so far behind, you'll be like playing with crayons and everyone's going to be playing with quill pens. Scot: [35:42] So it was really good to see that this is not what's happening, that people are embracing, enterprises are embracing these open source models. They are in the same zip code performance-wise from results and much cheaper than OpenAI's offerings. And what Amazon said specifically was very positive around what is It's kind of abbreviated Gen AI for generative AI. And it's kind of a way to encapsulate this. And they said that it already is a multi-billion dollar run rate business. And you always have to parse what they say. So multi-billion can be anywhere between 1 and 9.9, right? And you'll see why I drew 9.9 there. Scot: [36:25] And inside, as part of that big AWS number, and they believe it can be rapidly tens of billions. Billions so they're basically saying it's not double digit billions so it's a single digit million which is where i get one to nine point nine but they basically hinted that that it is growing so rapidly inside of there that it's gonna be tens of billions and this is why they saw accelerating revenue growth which made everyone happy it wasn't just people you know moving some more you know loads on or something boring loads around relational databases or something it was the juicy ai stuff so this got everyone so lathered up that three analysts did price increases and they cited that this was one of the reasons the biggest price increase was from sig susquehanna and they put the price up to 220. At the time all this happened the stock was at 175 and today it's around 185 so it's been up nicely but 220 is a pretty big big you know even. Scot: [37:20] From where they expect that's where they're thinking i think most these guys look at a year to two years as a time horizon on these prices so and that's the the high i have you know again there's a wide range some people think it's going to go down some people think it's over price so go do your research this is not a stock recommendation but i just thought it was interesting that people get really really excited by by this whole gen ai largely the body language that, and it's, Amazon doesn't pound their chest much. So the fact they were, was kind of a new, new way of managing Amazon and Jassy's pretty conservative. So he must've felt pretty good about it, but also that they needed to ally, allay, allay, allay, whatever the right word is, get rid of these competitive concerns everyone's been talking about. Jason: [38:05] Yeah. It feels like a pretty big prize out there. Jassy and the whole team always talk, Just AWS, even before you get to Gen AI, they always remind everyone, hey, 85% of the workloads are still on-prem. So like this, as big as AWS looks, if the long-term future is 85% of the workloads are on the cloud and only 15% are on-prem, there's a lot of headroom still in AWS. And then, you know, you add this new huge demand for AI on top of all that. And like this, it's almost a limitless opportunity. And I want to tie the AI back to retail, though, for just a second, because there's another bit of news that I haven't seen covered very much, but is super interesting to me. Jason: [38:51] There's a particular flavor of AI out there, a subset of generative AI that's now being called agentic AI. And that's sort of a clever amalgamation of agent-based AI. And there's a very famous AI researcher, this guy, Andrew Ng. He's the founder of Coursera. He's done a bunch of things. He was the head of Google Big Think, which was one of the first significant AI efforts. And I want to say he was like on People Magazine's 100 most interesting people list in like 2013 as an AI researcher. So the dude's been around for a long time. He is one of the biggest advocates for this agentic AI. And the premise is that if you just ask an LLM, you take the best LLM in the world, and you ask it to do something for you, that's called zero shot. You give it an assignment, and you take the first result you get. It's a zero shot. You get pretty good results. But if you... Jason: [39:53] Turn that, that LLM into multiple agents and break the task up amongst those agents and potentially agents even running on different LLMs, you get wildly better results. Jason: [40:05] And so his, his research kind of showed that, Hey, if, if Jason goes write a PowerPoint presentation for his client, explaining what's going on in commerce. And I just give that to the turbo version of ChatGBT 4, I'll get a pretty good deck. But if I say, hey, I want to create four agents. I want to create a consultant to write the deck and a copywriter to edit the deck and an editor to improve the deck and three people to pretend to be mock customers to poke holes in the deck and have all those agents work on this assignment. I could give that assignment to chat gbt 3.5 and it would actually output a better work product than the the newer more advanced model was by by breaking the job into these chunks and so in retail you think about like this is the idea of assigning higher level jobs to shopping right so instead of saying like going to amazon and saying oh now it's a ai-based search engine and i'm going to type a long form query into search and get a better result. Jason: [41:09] The agentic AI approach is I'm just going to say to Amazon, never let me run out of ingredients for my kids' school lunches. And the agent's going to figure out what is in my school lunches and what my use rate is for those things and what weeks I have off from school and don't need a school lunch. And it's just going to do all those things and magically have the food show up. And this is a long diatribe, but the reason it's relevant is is this dude, Andrew Ng, was named the newest board member at Amazon three weeks ago. Scot: [41:40] Very cool. Jason: [41:40] I did not see that myself. Yeah. And so if you're wondering where Amazon thinks this is going, like this, in my mind, ties all this tremendous opportunity in generative AI and the financial opportunity in AWS directly to the huge and growing retail business that Amazon runs. Scot: [42:02] Very cool. Oh yeah. I had not seen that. So maybe Wall Street picked up on that. I'm sure. And maybe that was another part of the excitement. Jason: [42:09] Yeah. But all of that is just peanuts compared to the real good business in Amazon, which is the ads business. So again, you know, Amazon used to, to obfuscate their ads business. They've for a number of quarters now had to report it as earnings because it's in their earnings separately, because it's so material. And it was another good quarter for the ads business. It's hard to say whether it's actually accelerating growth or not, because the ads business is very seasonal. So the ad business grew 24.3% for the quarter versus Q1 of 2023. Q4 grew faster. So Q4 grew at 27%, but the 24% growth is much faster growth than other... Q1 year-over-year growth rate. So however you slice it, it's a good, robust growth rate. If you add the last four quarters together, you get $29 billion worth of ad sales. There's lots of estimates for how profitable ad sales are, but there's no cost of goods for an ad, right? Jason: [43:13] And so it's very high margin. So if you just assume, I think 60% gross margins is a very conservative estimate. But if you assume 60% gross margins, that means the ad business spun off $29.5 billion of operating income over the last 12 months. And to put that in comparison, AWS is big and profitable as it is, twice as much revenue at over $100 billion now, but it spun off like $23 billion in operating income. So the ad business is a much more meaningful contributor to Amazon's profits than even AWS. Jason: [43:51] And another way I've been starting to think about this is what percentage of the total GMV on the Amazon platform are the ads? And they are now 6.5%. So that's a very significant new tax. You know, as Amazon has hundreds of millions of SKUs available for sale, no one's ever going to find your SKU or buy it if you don't do some marketing on the platform for that SKU. And that's this 6.5% tax that Amazon's charging. And in the same way we said, hey, AWS is a really robust business. And then there's this thing called generative AI that can make it even huger. All of this ad revenue we're talking about is really coming from their sponsored product listings, which is like basic search advertising on the retail platform. Last quarter, Amazon said, by the way, we have this huge viewership streaming video service called Amazon Prime. And we're going to start putting ads in the lowest tier version of Amazon Prime. So unless you want to pay more, you're going to start seeing ads on Amazon Prime. And that's another huge advertising opportunity that hasn't been very heavily tapped yet. So the analysts are pretty excited about the upside of Amazon potentially tacking on another $6.5 billion in Prime video ads onto the $50 billion of search ads that they already have. Jason: [45:11] And so ads are a pretty good business to be in, which is why every other retailer is trying to follow suit with their own sort of version of a retail media network. Scot: [45:22] Cool. I imagine you get a lot of calls to talk about that. Jason: [45:25] Oh, yeah. I actually, I'm sick of talking about it. So one nice thing about working at an ad agency is there are now thousands of other experts. You know, I was one of the early guys in retail media networks. Now there are thousands of other experts that are way more credible than me. So I don't have to talk about it quite as much, but it still, still comes up in every conversation. Scot: [45:43] Very cool. All right. So then that was the basic gist of the corridor from a high level. And then it came to the what's going on in Q2. So that did come in lighter than folks expected, as I said, and they guided the top line to 144 versus 149. Let's call it 146 and change at the midpoint. They always do this range kind of thing when they're doing their guide. And Wall Street was at 150 consensus. So, you know, a tidge below two or three percent below where they wanted. But the operating income guide was above Wall Street. So they're kind of, we'll take it. Como si, como sa. Scot: [46:21] So that was, you know, I think Amazon tapping things down. Yeah. Now they did talk a lot about consumers being under pressure. So they said in the, it wasn't in a Q and a, it was in the prepared remarks and Jassy said it, which is kind of like the more important stuff. And I will say it's really nice to have the CEO of Amazon back on these calls because Bezos basically ditched them after, I don't know if, I think he came the first two quarters back in 97 but i honestly can't remember but he has not gone to the calls and jassy's been to them all so it's really nice to hear from the ceo and he answers very candidly i feel you know he doesn't feel as kind of like robotic as many ceos when they get on here because it is a stressful thing that you're going to say something wrong, but there was this exchange well first of all he he in his prepared remarks he talked about. Scot: [47:12] I forgot to put the exact language, but he said, we're seeing a lot of consumers trade down. So they're seeing, you know, we're seeing this in the auto industry. Tires is this huge thing where it's under a lot of pressure right now because people are just waiting. So there's a lot of this, you know, it's not showing up in the data that I've seen, but there's, you know, maybe the inflation data, but not the GDP and some of the other unemployment data. But it feels like the consumer is under a bit of pressure here, and they talk about that a lot in the prepared remarks. So I thought our listeners would find that interesting. Jason, before I go into this longish little thing that I wanted to just cover, what do you, did you pick up on any of that consumer stuff? Are you hearing that? Jason: [47:55] Oh, yeah, that's very common. And remember, in the beginning, I mentioned that there's this weird bifurcation that some retailers, even in categories, are doing well and others aren't. And some categories are doing well and others aren't. That's super complicated to get to the why. But the most obvious why is that consumers feel like they're under a lot of economic pressure and are trading down and are deferring certain types of purchases. The easiest way to see this is own brands and private label sales going up and, you know, national brand sales stagnating, see things like chicken protein going up and beef protein going down. You know, there's lots of examples out there, but the retailers that are best able to follow the consumer as she trades down are tending to do well. And the retailers that only cater to the luxury consumer, the super luxury is still doing fine. They're somewhat insulated. But the folks that haven't been as able to cater to the value consumer as much have struggled more. And the non-mandatory categories have struggled more. So Andy's comments exactly mirror what we're seeing going on in market dynamics and what other retailers are saying in their earnings. It is slightly weird because if you just look at the macros. Jason: [49:18] It's objectively, the consumer is doing pretty well. There's actually a lot of favorable things, but there's a ton of evidence that the consumer sentiment is that they're really worried about their household budget and are making, you know, hard, hard financial decisions. Scot: [49:36] Yeah. Yeah. It's tough out there. Well, hopefully it'll get better. So one of the questions I want to just kind of pull out some tidbits, because this has been a theme on our pod for a long time and I thought it was really, really interesting. And this is going to get into the weeds of supply chain and this kind of thing. So sorry if that's not your jam. We like to talk about logistics. Scot: [49:56] Side note to you, Jason, I saw that deep dive we did on Amazon logistics is still like our number one show and all the stats and stuff, which is kind of fun. So someone cares about it. Anyway, one of the friends of the podcast, Yusuf Squally asked a question. He's one of the analysts and he said, as it relates to logistics, so he's talking to andy on the call back in september you launched amazon supply chain can you help us understand the opportunity you see there where are you in the journey to build logistics as a service on a global basis and does that require a huge increase in capex a function increase in capex which means huge so jesse said this was a very long answer so i'm going to pull out two snippets you can go read the transcripts can you put a link to that in the show notes absolutely yep yeah so so i'm just gonna give you the the snippet the whole thing is worth reading but it would be like another 20 minutes to do that. But so Jassy starts out and says, I think that it's interesting what's happening with the business we're building in third party logistics. And it's really kind of in some ways mirror some of the other businesses we've gotten involved in AWS being an example. And even though they're very different businesses, and that we realized that we had our own internal need to build and launch these capabilities. Scot: [51:01] We figured that there were probably others out there who had the same needs we did and decided to build the services out of them so this is this model that really blows the minds of traditional retailers where you know so walmart has this huge data you know capability there's this this urban legend that they know when people are pregnant before they do they can see changes in their habits or they know who all is on weight loss drugs they they see your buying habits so intricately that they can do that that's a neat capability but they view it as proprietary and And that's old school thinking. Scot: [51:32] What Amazon does is says, well, that's a cool capability. Let's certainly someone else needs it. Let's open it up. This is one of my favorite things at Amazon. And it's so counterintuitive that in my current car world, I talk about this and everyone's like, why are you, we're doing it a lot at Spiffy. And they're like, well, why are you doing that? That's like your proprietary thing. And we're like, well, that's just how it should be. And like, this is a better way to do it. And it's really interesting that still today, Amazon's built what I say, $100 billion business out of AWS, which has used this and people are, are befuzzled by the whole thing. So I, I thought that was an interesting use case. And then he, he goes into some details there that are pretty obvious for our listeners, like how this is gonna work. But then he basically kind of brings it back around and then he says he wraps up and says, I would say that supply chain with Amazon is really an abstraction on top of each individual block services. And in those services, he talked about all the things that, that, you know, FBA and last mile delivery and buy with a prime. He talks about each of those kind of and how awesome they are. So he's basically saying Amazon supply chain wraps a bow around all that. And it gives this collective set of business services is growing significantly. Scot: [52:43] It's already what I would consider a reasonable size business. I think it's early days. It's not something we anticipate being a giant capital expense driver. So it's because they've already invested in all this that doesn't require additional capex. And then he finishes and says, we have to build a lot of the capabilities anyway to handle our own business. And we think it will be a modest increase on top of that to accommodate third-party sellers. Scot: [53:05] But our, there's a typo in the thing. Our third-party sellers find very high value in us being able to manage these components for them versus having to do it themselves. And they save money in the process. So I thought that was a really interesting, interesting. So they're really leaning into this supply chain. I think that ultimately they'll open this up to more consumers where you can send Aunt Gertrude in Detroit something from Chicago for three bucks a package and just throw it in an Amazon box, maybe a return box, and it kind of makes it way cheaper than you can FedEx it. I think that's coming, but it's really interesting to see. The way they think about things and his articulation of it was very crisp, Scot: [53:45] and I really enjoyed that. I was geeking out on that when I was listening to the call. Jason: [53:50] Yeah, for sure. That actually came up in some of the conferences I was at that he, you know, Jeff Bezos famously wrote this memo a long time ago about kind of being an object oriented, company and having all these building blocks that people could easily access and use internally and externally. And, and that this was kind of Andy Jassy doubling down on that. Yeah. It's Biffy is an example of that. Like you inventing some cool products that make it your jobs easier. And then you're selling those products to, to your potential competitors. Scot: [54:20] Yeah. So two examples, we have some devices we've developed for ourselves. One is a tire tread scanner. So it does 2D and 3D tires, tire tread scans. It's called Easy Tread. And we developed it for ourselves because we touch 3,000 cars a day right now and we wanted to measure the tire treads. And the state of the art is a Bluetooth needle. And it's, you know, you have to lay on your back. The cars are on the ground for us most of the time. So you have to like get underneath there, measure three things, and then it Bluetooths to a phone. Then you have to take it, the data entry, it doesn't have an API. Then you have to like take what it measured and then now cut and paste it into something else. It's kind of, kind of redonkulous in our world. So we developed a solution for that and we're selling it externally. And then the big, the big one is from day one, this has been the plan is we've built a ton of software for Spiffy. So we're, you know, we've got 400 technicians, 250 vans doing all kinds of services across the US and there's no operating system for that. So we, there's no like Salesforce for that or Shopify. So we had to go build our own. And so we've built, you know, route optimization specific to this parts integration, fitment integration, VIN lookup, all these things that are required integration with tire suppliers, oil filter suppliers, oil suppliers, parts suppliers, all these things. So we have like 150 things we've integrated with and pulled in from all over the place. Scot: [55:44] And then labor management, all the reporting that comes along with it, all that stuff. And we're starting to license that out as its own platform to anyone that wants to do auto services. And so these dealerships and large auto service companies are coming to us and finally saying, this seems kind of obvious now that we need to provide the ability to go to our customers. They call it at their curb. They use a different language than we do. But basically what you and I would call mobile, you know, last mile delivery of the service. And we're starting to license that out. And it's a lot like AWS, right? So we had to build this for our retail business, which is doing the services and now we're licensing it out a lot AWS and we have this device business. So it's been, I would not have, it comes intuitively to me now. Cause I've been, you know, basically living this lifestyle for 20 years and watching Amazon do it, But it's been fun to kind of build a company with this mindset of we're going to take these things we build and give them to other, not give them, but sell them to other people. And then that makes them better. And they help us pay for all the R&D that we've done on it. Jason: [56:48] Yeah, that's very cool. And that gives listeners a very tangible example of why we haven't been able to podcast quite as frequently as we'd like. Scot: [56:56] Yes. Jason: [56:56] I do, at the risk of making this the world's longest episode of our show, I do have a geeky add-on to the supply chain conversation. Yeah. So a lot of these services that they're adding to specifically what they call supply chain with Amazon are around importing services, because an increasingly high percentage of all the stuff Amazon sells is. Jason: [57:20] Amazon is taking care of importing it, right? And most often from China, but from all over the world and taking care of all that logistics and getting it ready to sell and deliver via the world's most impressive last mile to consumers in America. And there's tons of complicated, high friction touch points and processes to flow all those goods. Well, the big competitors out there to Amazon at the moment that we've talked about ad nauseum on the show, like Shein and Timu, had this kind of direct from China model where they're putting all the goods on 747s, flying them over, and they're taking advantage of this loophole in the postal treaty called the de minimis provision to not pay taxes or duties or have all these goods inspected that they ship into the U.S. and U.S. Jason: [58:07] Businesses have been complaining it's unfair. There's like all kinds of talk about it. We've done shows on this and I'm sure we'll do others. So here's the new thing in supply chain. Jason: [58:15] All the people that have been complaining about this are now doing it because guess what's happened? A bunch of these companies have been born that now help every other brand in the world take advantage of the de minimis provisions to near shore their goods. So you're a footwear manufacturer, you make your shoes in Vietnam, Instead of shipping them to the U.S. On a pallet and paying taxes and duties, you ship them on a pallet to Mexico, and then you send them individual parcels across the border from Mexico into the U.S. and never have to pay taxes or duties on the stuff. So I don't know if that will last in the long run, but that's a very disruptive, significant change happening in the whole world of e-commerce supply chains as we speak. That's pretty interesting. Interesting. Had you gotten wind of that yet? Scot: [59:07] No, no. That's all new to me. Thanks for sharing. Jason: [59:09] Yeah. That's probably how you're going to have to start getting your spiffy stuff into the country now too. I won't, I won't, we won't go there. But the one other piece that did not come up in the earnings call, but a controversy around Amazon since our last show is news articles came out that Amazon was de-installing its Just Walk Out technology from its grocery stores. So Amazon had built Just Walk Out into several of these Amazon Fresh stores and they built it into Whole Foods. And if you know the history of Just Walk Out, this was the original intention of Just Walk Out was was to do it for grocery stor

Pinecone has raised over $130 million and was most recently valued at $750 million. On this week's Unsupervised Learning, we sat down with CEO and Founder of Pinecone, Edo Liberty. Pinecone is arguably one of the most important elements in today's modern datastack. Edo shared with us the most common use cases of Pinecone, the evolving landscape of vector databases, challenges in building vector databases, the "painful" launch of serverless model, and what people get wrong the most about Pinecone. (0:00) intro(0:33) what was it like when ChatGBT came out?(6:29) Edo's favorite applications built on Pinecone(10:34) will we see more image and video applications in 2024?(14:58) best ways to deal with hallucinations(18:12) the evolving landscape of vector databases(20:27) if Edo had to build a product, what would his stack look like?(31:45) helping clients versus letting them figure things out(36:38) moving to a serverless model(40:33) what areas of AI should new startups target?(45:18) Amazon SageMaker(50:38) over-hyped/under-hyped(51:30) biggest surprises while building Pinecone(56:13) Jacob and Pat debrief With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

TL;DR: You can now buy tickets, apply to speak, or join the expo for the biggest AI Engineer event of 2024. We're gathering *everyone* you want to meet - see you this June.In last year's the Rise of the AI Engineer we put our money where our mouth was and announced the AI Engineer Summit, which fortunately went well:With ~500 live attendees and over ~500k views online, the first iteration of the AI Engineer industry affair seemed to be well received. Competing in an expensive city with 3 other more established AI conferences in the fall calendar, we broke through in terms of in-person experience and online impact.So at the end of Day 2 we announced our second event: the AI Engineer World's Fair. The new website is now live, together with our new presenting sponsor:We were delighted to invite both Ben Dunphy, co-organizer of the conference and Sam Schillace, the deputy CTO of Microsoft who wrote some of the first Laws of AI Engineering while working with early releases of GPT-4, on the pod to talk about the conference and how Microsoft is all-in on AI Engineering.Rise of the Planet of the AI EngineerSince the first AI Engineer piece, AI Engineering has exploded:and the title has been adopted across OpenAI, Meta, IBM, and many, many other companies:1 year on, it is clear that AI Engineering is not only in full swing, but is an emerging global industry that is successfully bridging the gap:* between research and product, * between general-purpose foundation models and in-context use-cases, * and between the flashy weekend MVP (still great!) and the reliable, rigorously evaluated AI product deployed at massive scale, assisting hundreds of employees and driving millions in profit.The greatly increased scope of the 2024 AI Engineer World's Fair (more stages, more talks, more speakers, more attendees, more expo…) helps us reflect the growth of AI Engineering in three major dimensions:* Global Representation: the 2023 Summit was a mostly-American affair. This year we plan to have speakers from top AI companies across five continents, and explore the vast diversity of approaches to AI across global contexts.* Topic Coverage: * In 2023, the Summit focused on the initial questions that the community wrestled with - LLM frameworks, RAG and Vector Databases, Code Copilots and AI Agents. Those are evergreen problems that just got deeper.* This year the AI Engineering field has also embraced new core disciplines with more explicit focus on Multimodality, Evals and Ops, Open Source Models and GPU/Inference Hardware providers.* Maturity/Production-readiness: Two new tracks are dedicated toward AI in the Enterprise, government, education, finance, and more highly regulated industries or AI deployed at larger scale: * AI in the Fortune 500, covering at-scale production deployments of AI, and* AI Leadership, a closed-door, side event for technical AI leaders to discuss engineering and product leadership challenges as VPs and Heads of AI in their respective orgs.We hope you will join Microsoft and the rest of us as either speaker, exhibitor, or attendee, in San Francisco this June. Contact us with any enquiries that don't fall into the categories mentioned below.Show Notes* Ben Dunphy* 2023 Summit* GitHub confirmed $100m ARR on stage* History of World's Fairs* Sam Schillace* Writely on Acquired.fm* Early Lessons From GPT-4: The Schillace Laws* Semantic Kernel* Sam on Kevin Scott (Microsoft CTO)'s podcast in 2022* AI Engineer World's Fair (SF, Jun 25-27)* Buy Super Early Bird tickets (Listeners can use LATENTSPACE for $100 off any ticket until April 8, or use GROUP if coming in 4 or more)* Submit talks and workshops for Speaker CFPs (by April 8)* Enquire about Expo Sponsorship (Asap.. selling fast)Timestamps* [00:00:16] Intro* [00:01:04] 2023 AI Engineer Summit* [00:03:11] Vendor Neutral* [00:05:33] 2024 AIE World's Fair* [00:07:34] AIE World's Fair: 9 Tracks* [00:08:58] AIE World's Fair Keynotes* [00:09:33] Introducing Sam* [00:12:17] AI in 2020s vs the Cloud in 2000s* [00:13:46] Syntax vs Semantics* [00:14:22] Bill Gates vs GPT-4* [00:16:28] Semantic Kernel and Schillace's Laws of AI Engineering* [00:17:29] Orchestration: Break it into pieces* [00:19:52] Prompt Engineering: Ask Smart to Get Smart* [00:21:57] Think with the model, Plan with Code* [00:23:12] Metacognition vs Stochasticity* [00:24:43] Generating Synthetic Textbooks* [00:26:24] Trade leverage for precision; use interaction to mitigate* [00:27:18] Code is for syntax and process; models are for semantics and intent.* [00:28:46] Hands on AI Leadership* [00:33:18] Multimodality vs "Text is the universal wire protocol"* [00:35:46] Azure OpenAI vs Microsoft Research vs Microsoft AI Division* [00:39:40] On Satya* [00:40:44] Sam at AI Leadership Track* [00:42:05] Final Plug for Tickets & CFPTranscript[00:00:00] Alessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO in residence at Decibel Partners, and I'm joined by my co host Swyx, founder of Small[00:00:16] Intro[00:00:16] swyx: AI. Hey, hey, we're back again with a very special episode, this time with two guests and talking about the very in person events rather than online stuff.[00:00:27] swyx: So first I want to welcome Ben Dunphy, who is my co organizer on AI engineer conferences. Hey, hey, how's it going? We have a very special guest. Anyone who's looking at the show notes and the title will preview this later. But I guess we want to set the context. We are effectively doing promo for the upcoming AI Engineer World's Fair that's happening in June.[00:00:49] swyx: But maybe something that we haven't actually recapped much on the pod is just the origin of the AI Engineer Summit and why, what happens and what went down. Ben, I don't know if you'd like to start with the raw numbers that people should have in mind.[00:01:04] 2023 AI Engineer Summit[00:01:04] Ben Dunphy: Yeah, perhaps your listeners would like just a quick background on the summit.[00:01:09] Ben Dunphy: I mean, I'm sure many folks have heard of our events. You know, you launched, we launched the AI Engineer Summit last June with your, your article kind of coining the term that was on the tip of everyone's tongue, but curiously had not been actually coined, which is the term AI Engineer, which is now many people's, Job titles, you know, we're seeing a lot more people come to this event, with the job description of AI engineer, with the job title of AI engineer so, is an event that you and I really talked about since February of 2023, when we met at a hackathon you organized we were both excited by this movement and it hasn't really had a name yet.[00:01:48] Ben Dunphy: We decided that an event was warranted and that's why we move forward with the AI Engineer Summit, which Ended up being a great success. You know, we had over 5, 000 people apply to attend in person. We had over 9, 000 folks attend, online with over 20, 000 on the live stream.[00:02:06] Ben Dunphy: In person, we accepted about 400 attendees and had speakers, workshop instructors and sponsors, all congregating in San Francisco over, two days, um, two and a half days with a, with a welcome reception. So it was quite the event to kick off kind of this movement that's turning into quite an exciting[00:02:24] swyx: industry.[00:02:25] swyx: The overall idea of this is that I kind of view AI engineering, at least in all my work in Latent Space and the other stuff, as starting an industry.[00:02:34] swyx: And I think every industry, every new community, needs a place to congregate. And I definitely think that AI engineer, at least at the conference, is that it's meant to be like the biggest gathering of technical engineering people working with AI. Right. I think we kind of got that spot last year. There was a very competitive conference season, especially in San Francisco.[00:02:54] swyx: But I think as far as I understand, in terms of cultural impact, online impact, and the speakers that people want to see, we, we got them all and it was very important for us to be a vendor neutral type of event. Right. , The reason I partnered with Ben is that Ben has a lot of experience, a lot more experience doing vendor neutral stuff.[00:03:11] Vendor Neutral[00:03:11] swyx: I first met you when I was speaking at one of your events, and now we're sort of business partners on that. And yeah, I mean, I don't know if you have any sort of Thoughts on make, making things vendor neutral, making things more of a community industry conference rather than like something that's owned by one company.[00:03:25] swyx: Yeah.[00:03:25] Ben Dunphy: I mean events that are owned by a company are great, but this is typically where you have product pitches and this smaller internet community. But if you want the truly internet community, if you want a more varied audience and you know, frankly, better content for, especially for a technical audience, you want a vendor neutral event. And this is because when you have folks that are running the event that are focused on one thing and one thing alone, which is quality, quality of content, quality of speakers, quality of the in person experience, and just of general relevance it really elevates everything to the next level.[00:04:01] Ben Dunphy: And when you have someone like yourself who's coming To this content curation the role that you take at this event, and bringing that neutrality with, along with your experience, that really helps to take it to the next level, and then when you have someone like myself, focusing on just the program curation, and the in person experience, then both of our forces combined, we can like, really create this epic event, and so, these vendor neutral events if you've been to a small community event, Typically, these are vendor neutral, but also if you've been to a really, really popular industry event, many of the top industry events are actually vendor neutral.[00:04:37] Ben Dunphy: And that's because of the fact that they're vendor neutral, not in spite of[00:04:41] swyx: it. Yeah, I've been pretty open about the fact that my dream is to build the KubeCon of AI. So if anyone has been in the Kubernetes world, they'll understand what that means. And then, or, or instead of the NeurIPS, NeurIPS for engineers, where engineers are the stars and engineers are sharing their knowledge.[00:04:57] swyx: Perspectives, because I think AI is definitely moving over from research to engineering and production. I think one of my favorite parts was just honestly having GitHub and Microsoft support, which we'll cover in a bit, but you know, announcing finally that GitHub's copilot was such a commercial success I think was the first time that was actually confirmed by anyone in public.[00:05:17] swyx: For me, it's also interesting as sort of the conference curator to put Microsoft next to competitors some of which might be much smaller AI startups and to see what, where different companies are innovating in different areas.[00:05:27] swyx: Well, they're next to[00:05:27] Ben Dunphy: each other in the arena. So they can be next to each other on stage too.[00:05:33] Why AIE World's Fair[00:05:33] swyx: Okay, so this year World's Fair we are going a lot bigger what details are we disclosing right now? Yeah,[00:05:39] Ben Dunphy: I guess we should start with the name why are we calling it the World's Fair? And I think we need to go back to what inspired this, what actually the original World's Fair was, which was it started in the late 1700s and went to the early 1900s.[00:05:53] Ben Dunphy: And it was intended to showcase the incredible achievements. Of nation states, corporations, individuals in these grand expos. So you have these miniature cities actually being built for these grand expos. In San Francisco, for example, you had the entire Marina District built up in absolutely new construction to showcase the achievements of industry, architecture, art, and culture.[00:06:16] Ben Dunphy: And many of your listeners will know that in 1893, the Nikola Tesla famously provided power to the Chicago World's Fair with his 8 seat power generator. There's lots of great movies and documentaries about this. That was the first electric World's Fair, which thereafter it was referred to as the White City.[00:06:33] Ben Dunphy: So in today's world we have technological change that's similar to what was experienced during the industrial revolution in how it's, how it's just upending our entire life, how we live, work, and play. And so we have artificial intelligence, which has long been the dream of humanity.[00:06:51] Ben Dunphy: It's, it's finally here. And the pace of technological change is just accelerating. So with this event, as you mentioned, we, we're aiming to create a singular event where the world's foremost experts, builders, and practitioners can come together to exchange and reflect. And we think this is not only good for business, but it's also good for our mental health.[00:07:12] Ben Dunphy: It slows things down a bit from the Twitter news cycle to an in person festival of smiles, handshakes, connections, and in depth conversations that online media and online events can only ever dream of replicating. So this is an expo led event where the world's top companies will mingle with the world's top founders and AI engineers who are building and enhanced by AI.[00:07:34] AIE World's Fair: 9 Tracks[00:07:34] Ben Dunphy: And not to mention, we're featuring over a hundred talks and workshops across[00:07:37] swyx: nine tracks. Yeah, I mean, those nine tracks will be fun. Actually, do we have a little preview of the tracks in the, the speakers?[00:07:43] Ben Dunphy: We do. Folks can actually see them today at our website. We've updated that at ai.[00:07:48] Ben Dunphy: engineer. So we'd encourage them to go there to see that. But for those just listening, we have nine tracks. So we have multimodality. We have retrieval augmented generation. Featuring LLM frameworks and vector databases, evals and LLM ops, open source models, code gen and dev tools, GPUs and inference, AI agent applications, AI in the fortune 500, and then we have a special track for AI leadership which you can access by purchasing the VP pass which is different from the, the other passes we have.[00:08:20] Ben Dunphy: And I won't go into the Each of these tracks in depth, unless you want to, Swyx but there's more details on the website at ai. engineer.[00:08:28] swyx: I mean, I, I, very much looking forward to talking to our special guests for the last track, I think, which is the what a lot of yeah, leaders are thinking about, which is how to, Inspire innovation in their companies, especially the sort of larger organizations that might not have the in house talents for that kind of stuff.[00:08:47] swyx: So yeah, we can talk about the expo, but I'm very keen to talk about the presenting sponsor if you want to go slightly out of order from our original plan.[00:08:58] AIE World's Fair Keynotes[00:08:58] Ben Dunphy: Yeah, absolutely. So you know, for the stage of keynotes, we have talks confirmed from Microsoft, OpenAI, AWS, and Google.[00:09:06] Ben Dunphy: And our presenting sponsor is joining the stage with those folks. And so that presenting sponsor this year is a dream sponsor. It's Microsoft. It's the company really helping to lead the charge. And into this wonderful new era that we're all taking part in. So, yeah,[00:09:20] swyx: you know, a bit of context, like when we first started planning this thing, I was kind of brainstorming, like, who would we like to get as the ideal presenting sponsors, as ideal partners long term, just in terms of encouraging the AI engineering industry, and it was Microsoft.[00:09:33] Introducing Sam[00:09:33] swyx: So Sam, I'm very excited to welcome you onto the podcast. You are CVP and Deputy CTO of Microsoft. Welcome.[00:09:40] Sam Schillace: Nice to be here. I'm looking forward to, I was looking for, to Lessio saying my last name correctly this time. Oh[00:09:45] swyx: yeah. So I, I studiously avoided saying, saying your last name, but apparently it's an Italian last name.[00:09:50] swyx: Ski Lache. Ski[00:09:51] Alessio: Lache. Yeah. No, that, that's great, Sean. That's great as a musical person.[00:09:54] swyx: And it, it's also, yeah, I pay attention to like the, the, the lilt. So it's ski lache and the, the slow slowing of the law is, is what I focused[00:10:03] Sam Schillace: on. You say both Ls. There's no silent letters, you say[00:10:07] Alessio: both of those. And it's great to have you, Sam.[00:10:09] Alessio: You know, we've known each other now for a year and a half, two years, and our first conversation, well, it was at Lobby Conference, and then we had a really good one in the kind of parking lot of a Safeway, because we didn't want to go into Starbucks to meet, so we sat outside for about an hour, an hour and a half, and then you had to go to a Bluegrass concert, so it was great.[00:10:28] Alessio: Great meeting, and now, finally, we have you on Lanespace.[00:10:31] Sam Schillace: Cool, cool. Yeah, I'm happy to be here. It's funny, I was just saying to Swyx before you joined that, like, it's kind of an intimidating podcast. Like, when I listen to this podcast, it seems to be, like, one of the more intelligent ones, like, more, more, like, deep technical folks on it.[00:10:44] Sam Schillace: So, it's, like, it's kind of nice to be here. It's fun. Bring your A game. Hopefully I'll, I'll bring mine. I[00:10:49] swyx: mean, you've been programming for longer than some of our listeners have been alive, so I don't think your technical chops are in any doubt. So you were responsible for Rightly as one of your early wins in your career, which then became Google Docs, and obviously you were then responsible for a lot more G Suite.[00:11:07] swyx: But did you know that you covered in Acquired. fm episode 9, which is one of the podcasts that we model after.[00:11:13] Sam Schillace: Oh, cool. I didn't, I didn't realize that the most fun way to say this is that I still have to this day in my personal GDocs account, the very first Google doc, like I actually have it.[00:11:24] Sam Schillace: And I looked it up, like it occurred to me like six months ago that it was probably around and I went and looked and it's still there. So it's like, and it's kind of a funny thing. Cause it's like the backend has been rewritten at least twice that I know of the front end has been re rewritten at least twice that I know of.[00:11:38] Sam Schillace: So. I'm not sure what sense it's still the original one it's sort of more the idea of the original one, like the NFT of it would probably be more authentic. I[00:11:46] swyx: still have it. It's a ship athesia thing. Does it, does it say hello world or something more mundane?[00:11:52] Sam Schillace: It's, it's, it's me and Steve Newman trying to figure out if some collaboration stuff is working, and also a picture of Edna from the Incredibles that I probably pasted in later, because that's That's too early for that, I think.[00:12:05] swyx: People can look up your LinkedIn, and we're going to link it on the show notes, but you're also SVP of engineering for Box, and then you went back to Google to do Google, to lead Google Maps, and now you're deputy CTO.[00:12:17] AI in 2020s vs the Cloud in 2000s[00:12:17] swyx: I mean, there's so many places to start, but maybe one place I like to start off with is do you have a personal GPT 4 experience.[00:12:25] swyx: Obviously being at Microsoft, you have, you had early access and everyone talks about Bill Gates's[00:12:30] Sam Schillace: demo. Yeah, it's kind of, yeah, that's, it's kind of interesting. Like, yeah, we got access, I got access to it like in September of 2022, I guess, like before it was really released. And I it like almost instantly was just like mind blowing to me how good it was.[00:12:47] Sam Schillace: I would try experiments like very early on, like I play music. There's this thing called ABC notation. That's like an ASCII way to represent music. And like, I was like, I wonder if it can like compose a fiddle tune. And like it composed a fiddle tune. I'm like, I wonder if it can change key, change the key.[00:13:01] Sam Schillace: Like it's like really, it was like very astonishing. And I sort of, I'm very like abstract. My background is actually more math than CS. I'm a very abstract thinker and sort of categorical thinker. And the, the thing that occurred to me with, with GPT 4 the first time I saw it was. This is really like the beginning, it's the beginning of V2 of the computer industry completely.[00:13:23] Sam Schillace: I had the same feeling I had when, of like a category shifting that I had when the cloud stuff happened with the GDocs stuff, right? Where it's just like, all of a sudden this like huge vista opens up of capabilities. And I think the way I characterized it, which is a little bit nerdy, but I'm a nerd so lean into it is like everything until now has been about syntax.[00:13:46] Syntax vs Semantics[00:13:46] Sam Schillace: Like, we have to do mediation. We have to describe the real world in forms that the digital world can manage. And so we're the mediation, and we, like, do that via things like syntax and schema and programming languages. And all of a sudden, like, this opens the door to semantics, where, like, you can express intention and meaning and nuance and fuzziness.[00:14:04] Sam Schillace: And the machine itself is doing, the model itself is doing a bunch of the mediation for you. And like, that's obviously like complicated. We can talk about the limits and stuff, and it's getting better in some ways. And we're learning things and all kinds of stuff is going on around it, obviously.[00:14:18] Sam Schillace: But like, that was my immediate reaction to it was just like, Oh my God.[00:14:22] Bill Gates vs GPT-4[00:14:22] Sam Schillace: Like, and then I heard about the build demo where like Bill had been telling Kevin Scott this, This investment is a waste. It's never going to work. AI is blah, blah, blah. And come back when it can pass like an AP bio exam.[00:14:33] Sam Schillace: And they actually literally did that at one point, they brought in like the world champion of the, like the AP bio test or whatever the AP competition and like it and chat GPT or GPT 4 both did the AP bio and GPT 4 beat her. So that was the moment that convinced Bill that this was actually real.[00:14:53] Sam Schillace: Yeah, it's fun. I had a moment with him actually about three weeks after that when we had been, so I started like diving in on developer tools almost immediately and I built this thing with a small team that's called the Semantic Kernel which is one of the very early orchestrators just because I wanted to be able to put code and And inference together.[00:15:10] Sam Schillace: And that's probably something we should dig into more deeply. Cause I think there's some good insights in there, but I I had a bunch of stuff that we were building and then I was asked to go meet with Bill Gates about it and he's kind of famously skeptical and, and so I was a little bit nervous to meet him the first time.[00:15:25] Sam Schillace: And I started the conversation with, Hey, Bill, like three weeks ago, you would have called BS on everything I'm about to show you. And I would probably have agreed with you, but we've both seen this thing. And so we both know it's real. So let's skip that part and like, talk about what's possible.[00:15:39] Sam Schillace: And then we just had this kind of fun, open ended conversation and I showed him a bunch of stuff. So that was like a really nice, fun, fun moment as well. Well,[00:15:46] swyx: that's a nice way to meet Bill Gates and impress[00:15:48] Sam Schillace: him. A little funny. I mean, it's like, I wasn't sure what he would think of me, given what I've done and his.[00:15:54] Sam Schillace: Crown Jewel. But he was nice. I think he likes[00:15:59] swyx: GDocs. Crown Jewel as in Google Docs versus Microsoft Word? Office.[00:16:03] Sam Schillace: Yeah. Yeah, versus Office. Yeah, like, I think, I mean, I can imagine him not liking, I met Steven Snofsky once and he sort of respectfully, but sort of grimaced at me. You know, like, because of how much trauma I had caused him.[00:16:18] Sam Schillace: So Bill was very nice to[00:16:20] swyx: me. In general it's like friendly competition, right? They keep you, they keep you sharp, you keep each[00:16:24] Sam Schillace: other sharp. Yeah, no, I think that's, it's definitely respect, it's just kind of funny.[00:16:28] Semantic Kernel and Schillace's Laws of AI Engineering[00:16:28] Sam Schillace: Yeah,[00:16:28] swyx: So, speaking of semantic kernel, I had no idea that you were that deeply involved, that you actually had laws named after you.[00:16:35] swyx: This only came up after looking into you for a little bit. Skelatches laws, how did those, what's the, what's the origin[00:16:41] Sam Schillace: story? Hey! Yeah, that's kind of funny. I'm actually kind of a modest person and so I'm sure I feel about having my name attached to them. Although I do agree with all, I believe all of them because I wrote all of them.[00:16:49] Sam Schillace: This is like a designer, John Might, who works with me, decided to stick my name on them and put them out there. Seriously, but like, well, but like, so this was just I, I'm not, I don't build models. Like I'm not an AI engineer in the sense of, of like AI researcher that's like doing inference. Like I'm somebody who's like consuming the models.[00:17:09] Sam Schillace: Exactly. So it's kind of funny when you're talking about AI engineering, like it's a good way of putting it. Cause that's how like I think about myself. I'm like, I'm an app builder. I just want to build with this tool. Yep. And so we spent all of the fall and into the winter in that first year, like Just trying to build stuff and learn how this tool worked.[00:17:29] Orchestration: Break it into pieces[00:17:29] Sam Schillace: And I guess those are a little bit in the spirit of like Robert Bentley's programming pearls or something. I was just like, let's kind of distill some of these ideas down of like. How does this thing work? I saw something I still see today with people doing like inference is still kind of expensive.[00:17:46] Sam Schillace: GPUs are still kind of scarce. And so people try to get everything done in like one shot. And so there's all this like prompt tuning to get things working. And one of the first laws was like, break it into pieces. Like if it's hard for you, it's going to be hard for the model. But if it's you know, there's this kind of weird thing where like, it's.[00:18:02] Sam Schillace: It's absolutely not a human being, but starting to think about, like, how would I solve the problem is often a good way to figure out how to architect the program so that the model can solve the problem. So, like, that was one of the first laws. That came from me just trying to, like, replicate a test of a, like, a more complicated, There's like a reasoning process that you have to go through that, that Google was, was the react, the react thing, and I was trying to get GPT 4 to do it on its own.[00:18:32] Sam Schillace: And, and so I'd ask it the question that was in this paper, and the answer to the question is like the year 2000. It's like, what year did this particular author who wrote this book live in this country? And you've kind of got to carefully reason through it. And like, I could not get GPT 4 to Just to answer the question with the year 2000.[00:18:50] Sam Schillace: And if you're thinking about this as like the kernel is like a pipelined orchestrator, right? It's like very Unix y, where like you have a, some kind of command and you pipe stuff to the next parameters and output to the next thing. So I'm thinking about this as like one module in like a pipeline, and I just want it to give me the answer.[00:19:05] Sam Schillace: I don't want anything else. And I could not prompt engineer my way out of that. I just like, it was giving me a paragraph or reasoning. And so I sort of like anthropomorphized a little bit and I was like, well, the only way you can think about stuff is it can think out loud because there's nothing else that the model does.[00:19:19] Sam Schillace: It's just doing token generation. And so it's not going to be able to do this reasoning if it can't think out loud. And that's why it's always producing this. But if you take that paragraph of output, which did get to the right answer and you pipe it into a second prompt. That just says read this conversation and just extract the answer and report it back.[00:19:38] Sam Schillace: That's an easier task. That would be an easier task for you to do or me to do. It's easier reasoning. And so it's an easier thing for the model to do and it's much more accurate. And that's like 100 percent accurate. It always does that. So like that was one of those, those insights on the that led to the, the choice loss.[00:19:52] Prompt Engineering: Ask Smart to Get Smart[00:19:52] Sam Schillace: I think one of the other ones that's kind of interesting that I think people still don't fully appreciate is that GPT 4 is the rough equivalent of like a human being sitting down for centuries or millennia and reading all the books that they can find. It's this vast mind, right, and the embedding space, the latent space, is 100, 000 K, 100, 000 dimensional space, right?[00:20:14] Sam Schillace: Like it's this huge, high dimensional space, and we don't have good, um, Intuition about high dimensional spaces, like the topology works in really weird ways, connectivity works in weird ways. So a lot of what we're doing is like aiming the attention of a model into some part of this very weirdly connected space.[00:20:30] Sam Schillace: That's kind of what prompt engineering is. But that kind of, like, what we observed to begin with that led to one of those laws was You know, ask smart to get smart. And I think we've all, we all understand this now, right? Like this is the whole field of prompt engineering. But like, if you ask like a simple, a simplistic question of the model, you'll get kind of a simplistic answer.[00:20:50] Sam Schillace: Cause you're pointing it at a simplistic part of that high dimensional space. And if you ask it a more intelligent question, you get more intelligent stuff back out. And so I think that's part of like how you think about programming as well. It's like, how are you directing the attention of the model?[00:21:04] Sam Schillace: And I think we still don't have a good intuitive feel for that. To me,[00:21:08] Alessio: the most interesting thing is how do you tie the ask smart, get smart with the syntax and semantics piece. I gave a talk at GDC last week about the rise of full stack employees and how these models are like semantic representation of tasks that people do.[00:21:23] Alessio: But at the same time, we have code. Also become semantic representation of code. You know, I give you the example of like Python that sort it's like really a semantic function. It's not code, but it's actually code underneath. How do you think about tying the two together where you have code?[00:21:39] Alessio: To then extract the smart parts so that you don't have to like ask smart every time and like kind of wrap them in like higher level functions.[00:21:46] Sam Schillace: Yeah, this is, this is actually, we're skipping ahead to kind of later in the conversation, but I like to, I usually like to still stuff down in these little aphorisms that kind of help me remember them.[00:21:57] Think with the model, Plan with Code[00:21:57] Sam Schillace: You know, so we can dig into a bunch of them. One of them is pixels are free, one of them is bots are docs. But the one that's interesting here is Think with the model, plan with code. And so one of the things, so one of the things we've realized, we've been trying to do lots of these like longer running tasks.[00:22:13] Sam Schillace: Like we did this thing called the infinite chatbot, which was the successor to the semantic kernel, which is an internal project. It's a lot like GPTs. The open AI GPT is, but it's like a little bit more advanced in some ways, kind of deep exploration of a rag based bot system. And then we did multi agents from that, trying to do some autonomy stuff and we're, and we're kind of banging our head against this thing.[00:22:34] Sam Schillace: And you know, one of the things I started to realize, this is going to get nerdy for a second. I apologize, but let me dig in on it for just a second. No apology needed. Um, we realized is like, again, this is a little bit of an anthropomorphism and an illusion that we're having. So like when we look at these models, we think there's something continuous there.[00:22:51] Sam Schillace: We're having a conversation with chat GPT or whatever with Azure open air or like, like what's really happened. It's a little bit like watching claymation, right? Like when you watch claymation, you don't think that the model is actually the clay model is actually really alive. You know, that there's like a bunch of still disconnected slot screens that your mind is connecting into a continuous experience.[00:23:12] Metacognition vs Stochasticity[00:23:12] Sam Schillace: And that's kind of the same thing that's going on with these models. Like they're all the prompts are disconnected no matter what. Which means you're putting a lot of weight on memory, right? This is the thing we talked about. You're like, you're putting a lot of weight on precision and recall of your memory system.[00:23:27] Sam Schillace: And so like, and it turns out like, because the models are stochastic, they're kind of random. They'll make stuff up if things are missing. If you're naive about your, your memory system, you'll get lots of like accumulated similar memories that will kind of clog the system, things like that. So there's lots of ways in which like, Memory is hard to manage well, and, and, and that's okay.[00:23:47] Sam Schillace: But what happens is when you're doing plans and you're doing these longer running things that you're talking about, that second level, the metacognition is very vulnerable to that stochastic noise, which is like, I totally want to put this on a bumper sticker that like metacognition is susceptible to stochasticity would be like the great bumper sticker.[00:24:07] Sam Schillace: So what, these things are very vulnerable to feedback loops when they're trying to do autonomy, and they're very vulnerable to getting lost. So we've had these, like, multi agent Autonomous agent things get kind of stuck on like complimenting each other, or they'll get stuck on being quote unquote frustrated and they'll go on strike.[00:24:22] Sam Schillace: Like there's all kinds of weird like feedback loops you get into. So what we've learned to answer your question of how you put all this stuff together is You have to, the model's good at thinking, but it's not good at planning. So you do planning in code. So you have to describe the larger process of what you're doing in code somehow.[00:24:38] Sam Schillace: So semantic intent or whatever. And then you let the model kind of fill in the pieces.[00:24:43] Generating Synthetic Textbooks[00:24:43] Sam Schillace: I'll give a less abstract like example. It's a little bit of an old example. I did this like last year, but at one point I wanted to see if I could generate textbooks. And so I wrote this thing called the textbook factory.[00:24:53] Sam Schillace: And it's, it's tiny. It's like a Jupyter notebook with like. You know, 200 lines of Python and like six very short prompts, but what you basically give it a sentence. And it like pulls out the topic and the level of, of, from that sentence, so you, like, I would like fifth grade reading. I would like eighth grade English.[00:25:11] Sam Schillace: His English ninth grade, US history, whatever. That by the way, all, all by itself, like would've been an almost impossible job like three years ago. Isn't, it's like totally amazing like that by itself. Just parsing an arbitrary natural language sentence to get these two pieces of information out is like almost trivial now.[00:25:27] Sam Schillace: Which is amazing. So it takes that and it just like makes like a thousand calls to the API and it goes and builds a full year textbook, like decides what the curriculum is with one of the prompts. It breaks it into chapters. It writes all the lessons and lesson plans and like builds a teacher's guide with all the answers to all the questions.[00:25:42] Sam Schillace: It builds a table of contents, like all that stuff. It's super reliable. You always get a textbook. It's super brittle. You never get a cookbook or a novel like but like you could kind of define that domain pretty care, like I can describe. The metacognition, the high level plan for how do you write a textbook, right?[00:25:59] Sam Schillace: You like decide the curriculum and then you write all the chapters and you write the teacher's guide and you write the table content, like you can, you can describe that out pretty well. And so having that like code exoskeleton wrapped around the model is really helpful, like it keeps the model from drifting off and then you don't have as many of these vulnerabilities around memory that you would normally have.[00:26:19] Sam Schillace: So like, that's kind of, I think where the syntax and semantics comes together right now.[00:26:24] Trade leverage for precision; use interaction to mitigate[00:26:24] Sam Schillace: And then I think the question for all of us is. How do you get more leverage out of that? Right? So one of the things that I don't love about virtually everything anyone's built for the last year and a half is people are holding the hands of the model on everything.[00:26:37] Sam Schillace: Like the leverage is very low, right? You can't turn. These things loose to do anything really interesting for very long. You can kind of, and the places where people are getting more work out per unit of work in are usually where somebody has done exactly what I just described. They've kind of figured out what the pattern of the problem is in enough of a way that they can write some code for it.[00:26:59] Sam Schillace: And then that that like, so I've seen like sales support stuff. I've seen like code base tuning stuff of like, there's lots of things that people are doing where like, you can get a lot of value in some relatively well defined domain using a little bit of the model's ability to think for you and a little, and a little bit of code.[00:27:18] Code is for syntax and process; models are for semantics and intent.[00:27:18] Sam Schillace: And then I think the next wave is like, okay, do we do stuff like domain specific languages to like make the planning capabilities better? Do we like start to build? More sophisticated primitives. We're starting to think about and talk about like power automate and a bunch of stuff inside of Microsoft that we're going to wrap in these like building blocks.[00:27:34] Sam Schillace: So the models have these chunks of reliable functionality that they can invoke as part of these plans, right? Because you don't want like, if you're going to ask the model to go do something and the output's going to be a hundred thousand lines of code, if it's got to generate that code every time, the randomness, the stochasticity is like going to make that basically not reliable.[00:27:54] Sam Schillace: You want it to generate it like a 10 or 20 line high level semantic plan for this thing that gets handed to some markup executor that runs it and that invokes that API, that 100, 000 lines of code behind it, API call. And like, that's a really nice robust system for now. And then as the models get smarter as new models emerge, then we get better plans, we get more sophistication.[00:28:17] Sam Schillace: In terms of what they can choose, things like that. Right. So I think like that feels like that's probably the path forward for a little while, at least, like there was, there was a lot there. I, sorry, like I've been thinking, you can tell I've been thinking about it a lot. Like this is kind of all I think about is like, how do you build.[00:28:31] Sam Schillace: Really high value stuff out of this. And where do we go? Yeah. The, the role where[00:28:35] swyx: we are. Yeah. The intermixing of code and, and LMS is, is a lot of the role of the AI engineer. And I, I, I think in a very real way, you were one of the first to, because obviously you had early access. Honestly, I'm surprised.[00:28:46] Hands on AI Leadership[00:28:46] swyx: How are you so hands on? How do you choose to, to dedicate your time? How do you advise other tech leaders? Right. You know, you, you are. You have people working for you, you could not be hands on, but you seem to be hands on. What's the allocation that people should have, especially if they're senior tech[00:29:03] Sam Schillace: leaders?[00:29:04] Sam Schillace: It's mostly just fun. Like, I'm a maker, and I like to build stuff. I'm a little bit idiosyncratic. I I've got ADHD, and so I won't build anything. I won't work on anything I'm bored with. So I have no discipline. If I'm not actually interested in the thing, I can't just, like, do it, force myself to do it.[00:29:17] Sam Schillace: But, I mean, if you're not interested in what's going on right now in the industry, like, go find a different industry, honestly. Like, I seriously, like, this is, I, well, it's funny, like, I don't mean to be snarky, but, like, I was at a dinner, like, a, I don't know, six months ago or something, And I was sitting next to a CTO of a large, I won't name the corporation because it would name the person, but I was sitting next to the CTO of a very large Japanese technical company, and he was like, like, nothing has been interesting since the internet, and this is interesting now, like, this is fun again.[00:29:46] Sam Schillace: And I'm like, yeah, totally, like this is like, the most interesting thing that's happened in 35 years of my career, like, we can play with semantics and natural language, and we can have these things that are like sort of active, can kind of be independent in certain ways and can do stuff for us and can like, reach all of these interesting problems.[00:30:02] Sam Schillace: So like that's part of it of it's just kind of fun to, to do stuff and to build stuff. I, I just can't, can't resist. I'm not crazy hands-on, like, I have an eng like my engineering team's listening right now. They're like probably laughing 'cause they, I never, I, I don't really touch code directly 'cause I'm so obsessive.[00:30:17] Sam Schillace: I told them like, if I start writing code, that's all I'm gonna do. And it's probably better if I stay a little bit high level and like, think about. I've got a really great couple of engineers, a bunch of engineers underneath me, a bunch of designers underneath me that are really good folks that we just bounce ideas off of back and forth and it's just really fun.[00:30:35] Sam Schillace: That's the role I came to Microsoft to do, really, was to just kind of bring some energy around innovation, some energy around consumer, We didn't know that this was coming when I joined. I joined like eight months before it hit us, but I think Kevin might've had an idea it was coming. And and then when it hit, I just kind of dove in with both feet cause it's just so much fun to do.[00:30:55] Sam Schillace: Just to tie it back a little bit to the, the Google Docs stuff. When we did rightly originally the world it's not like I built rightly in jQuery or anything. Like I built that thing on bare metal back before there were decent JavaScript VMs.[00:31:10] Sam Schillace: I was just telling somebody today, like you were rate limited. So like just computing the diff when you type something like doing the string diff, I had to write like a binary search on each end of the string diff because like you didn't have enough iterations of a for loop to search character by character.[00:31:24] Sam Schillace: I mean, like that's how rough it was none of the browsers implemented stuff directly, whatever. It's like, just really messy. And like, that's. Like, as somebody who's been doing this for a long time, like, that's the place where you want to engage, right? If things are easy, and it's easy to go do something, it's too late.[00:31:42] Sam Schillace: Even if it's not too late, it's going to be crowded, but like the right time to do something new and disruptive and technical is, first of all, still when it's controversial, but second of all, when you have this, like, you can see the future, you ask this, like, what if question, and you can see where it's going, But you have this, like, pit in your stomach as an engineer as to, like, how crappy this is going to be to do.[00:32:04] Sam Schillace: Like, that's really the right moment to engage with stuff. We're just like, this is going to suck, it's going to be messy, I don't know what the path is, I'm going to get sticks and thorns in my hair, like I, I, it's going to have false starts, and I don't really, I'm going to This is why those skeletchae laws are kind of funny, because, like, I, I, like You know, I wrote them down at one point because they were like my best guess, but I'm like half of these are probably wrong, and I think they've all held up pretty well, but I'm just like guessing along with everybody else, we're just trying to figure this thing out still, right, and like, and I think the only way to do that is to just engage with it.[00:32:34] Sam Schillace: You just have to like, build stuff. If you're, I can't tell you the number of execs I've talked to who have opinions about AI and have not sat down with anything for more than 10 minutes to like actually try to get anything done. You know, it's just like, it's incomprehensible to me that you can watch this stuff through the lens of like the press and forgive me, podcasts and feel like you actually know what you're talking about.[00:32:59] Sam Schillace: Like, you have to like build stuff. Like, break your nose on stuff and like figure out what doesn't work.[00:33:04] swyx: Yeah, I mean, I view us as a starting point, as a way for people to get exposure on what we're doing. They should be looking at, and they still have to do the work as do we. Yeah, I'll basically endorse, like, I think most of the laws.[00:33:18] Multimodality vs "Text is the universal wire protocol"[00:33:18] swyx: I think the one I question the most now is text is the universal wire protocol. There was a very popular article, a text that used a universal interface by Rune who now works at OpenAI. And I, actually, we just, we just dropped a podcast with David Luan, who's CEO of Adept now, but he was VP of Eng, and he pitched Kevin Scott for the original Microsoft investment in OpenAI.[00:33:40] swyx: Where he's basically pivoting to or just betting very hard on multimodality. I think that's something that we don't really position very well. I think this year, we're trying to all figure it out. I don't know if you have an updated perspective on multi modal models how that affects agents[00:33:54] Sam Schillace: or not.[00:33:55] Sam Schillace: Yeah, I mean, I think the multi I think multi modality is really important. And I, I think it's only going to get better from here. For sure. Yeah, the text is the universal wire protocol. You're probably right. Like, I don't know that I would defend that one entirely. Note that it doesn't say English, right?[00:34:09] Sam Schillace: Like it's, it's not, that's even natural language. Like there's stuff like Steve Luko, who's the guy who created TypeScript, created TypeChat, right? Which is this like way to get LLMs to be very precise and return syntax and correct JavaScript. So like, I, yeah, I think like multimodality, like, I think part of the challenge with it is like, it's a little harder to access.[00:34:30] Sam Schillace: Programatically still like I think you know and I do think like, You know like when when like dahly and stuff started to come Out I was like, oh photoshop's in trouble cuz like, you know I'm just gonna like describe images And you don't need photos of Photoshop anymore Which hasn't played out that way like they're actually like adding a bunch of tools who look like you want to be able to you know for multimodality be really like super super charged you need to be able to do stuff like Descriptively, like, okay, find the dog in this picture and mask around it.[00:34:58] Sam Schillace: Okay, now make it larger and whatever. You need to be able to interact with stuff textually, which we're starting to be able to do. Like, you can do some of that stuff. But there's probably a whole bunch of new capabilities that are going to come out that are going to make it more interesting.[00:35:11] Sam Schillace: So, I don't know, like, I suspect we're going to wind up looking kind of like Unix at the end of the day, where, like, there's pipes and, like, Stuff goes over pipes, and some of the pipes are byte character pipes, and some of them are byte digital or whatever like binary pipes, and that's going to be compatible with a lot of the systems we have out there, so like, that's probably still And I think there's a lot to be gotten from, from text as a language, but I suspect you're right.[00:35:37] Sam Schillace: Like that particular law is not going to hold up super well. But we didn't have multimodal going when I wrote it. I'll take one out as well.[00:35:46] Azure OpenAI vs Microsoft Research vs Microsoft AI Division[00:35:46] swyx: I know. Yeah, I mean, the innovations that keep coming out of Microsoft. You mentioned multi agent. I think you're talking about autogen.[00:35:52] swyx: But there's always research coming out of MSR. Yeah. PHY1, PHY2. Yeah, there's a bunch of[00:35:57] Sam Schillace: stuff. Yeah.[00:35:59] swyx: What should, how should the outsider or the AI engineer just as a sort of final word, like, How should they view the Microsoft portfolio things? I know you're not here to be a salesman, but What, how do you explain You know, Microsoft's AI[00:36:12] Sam Schillace: work to people.[00:36:13] Sam Schillace: There's a lot of stuff going on. Like, first of all, like, I should, I'll be a little tiny bit of a salesman for, like, two seconds and just point out that, like, one of the things we have is the Microsoft for Startups Founders Hub. So, like, you can get, like, Azure credits and stuff from us. Like, up to, like, 150 grand, I think, over four years.[00:36:29] Sam Schillace: So, like, it's actually pretty easy to get. Credit you can start, I 500 bucks to start or something with very little other than just an idea. So like there's, that's pretty cool. Like, I like Microsoft is very much all in on AI at, at many levels. And so like that, you mentioned, you mentioned Autogen, like, So I sit in the office of the CTO, Microsoft Research sits under him, under the office of the CTO as well.[00:36:51] Sam Schillace: So the Autogen group came out of somebody in MSR, like in that group. So like there's sort of. The spectrum of very researchy things going on in research, where we're doing things like Phi, which is the small language model efficiency exploration that's really, really interesting. Lots of very technical folks there that are building different kinds of models.[00:37:10] Sam Schillace: And then there's like, groups like my group that are kind of a little bit in the middle that straddle product and, and, and research and kind of have a foot in both worlds and are trying to kind of be a bridge into the product world. And then there's like a whole bunch of stuff on the product side of things.[00:37:23] Sam Schillace: So there's. All the Azure OpenAI stuff, and then there's all the stuff that's in Office and Windows. And I, so I think, like, the way, I don't know, the way to think about Microsoft is we're just powering AI at every level we can, and making it as accessible as we can to both end users and developers.[00:37:42] Sam Schillace: There's this really nice research arm at one end of that spectrum that's really driving the cutting edge. The fee stuff is really amazing. It broke the chinchella curves. Right, like we didn't, that's the textbooks are all you need paper, and it's still kind of controversial, but like that was really a surprising result that came out of MSR.[00:37:58] Sam Schillace: And so like I think Microsoft is both being a thought leader on one end, on the other end with all the Azure OpenAI, all the Azure tooling that we have, like very much a developer centric, kind of the tinkerer's paradise that Microsoft always was. It's like a great place to come and consume all these things.[00:38:14] Sam Schillace: There's really amazing stuff ideas that we've had, like these very rich, long running, rag based chatbots that we didn't talk about that are like now possible to just go build with Azure AI Studio for yourself. You can build and deploy like a chatbot that's trained on your data specifically, like very easily and things like that.[00:38:31] Sam Schillace: So like there's that end of things. And then there's all this stuff that's in Office, where like, you could just like use the copilots both in Bing, but also just like daily your daily work. So like, it's just kind of everywhere at this point, like everyone in the company thinks about it all the time.[00:38:43] Sam Schillace: There's like no single answer to that question. That was way more salesy than I thought I was capable of, but like, that is actually the genuine truth. Like, it is all the time, it is all levels, it is all the way from really pragmatic, approachable stuff for somebody starting out who doesn't know things, all the way to like Absolutely cutting edge research, silicon, models, AI for science, like, we didn't talk about any of the AI for science stuff, I've seen magical stuff coming out of the research group on that topic, like just crazy cool stuff that's coming, so.[00:39:13] Sam Schillace: You've[00:39:14] swyx: called this since you joined Microsoft. I point listeners to the podcast that you did in 2022, pre ChatGBT with Kevin Scott. And yeah, you've been saying this from the beginning. So this is not a new line of Talk track for you, like you've, you, you've been a genuine believer for a long time.[00:39:28] swyx: And,[00:39:28] Sam Schillace: and just to be clear, like I haven't been at Microsoft that long. I've only been here for like two, a little over two years and you know, it's a little bit weird for me 'cause for a lot of my career they were the competitor and the enemy and you know, it's kind of funny to be here, but like it's really remarkable.[00:39:40] On Satya[00:39:40] Sam Schillace: It's going on. I really, really like Satya. I've met a, met and worked with a bunch of big tech CEOs and I think he's a genuinely awesome person and he's fun to work with and has a really great. vision. So like, and I obviously really like Kevin, we've been friends for a long time. So it's a cool place.[00:39:56] Sam Schillace: I think there's a lot of interesting stuff. We[00:39:57] swyx: have some awareness Satya is a listener. So obviously he's super welcome on the pod anytime. You can just drop in a good word for us.[00:40:05] Sam Schillace: He's fun to talk to. It's interesting because like CEOs can be lots of different personalities, but he is you were asking me about how I'm like, so hands on and engaged.[00:40:14] Sam Schillace: I'm amazed at how hands on and engaged he can be given the scale of his job. Like, he's super, super engaged with stuff, super in the details, understands a lot of the stuff that's going on. And the science side of things, as well as the product and the business side, I mean, it's really remarkable. I don't say that, like, because he's listening or because I'm trying to pump the company, like, I'm, like, genuinely really, really impressed with, like, how, what he's, like, I look at him, I'm like, I love this stuff, and I spend all my time thinking about it, and I could not do what he's doing.[00:40:42] Sam Schillace: Like, it's just incredible how much you can get[00:40:43] Ben Dunphy: into his head.[00:40:44] Sam at AI Leadership Track[00:40:44] Ben Dunphy: Sam, it's been an absolute pleasure to hear from you here, hear the war stories. So thank you so much for coming on. Quick question though you're here on the podcast as the presenting sponsor for the AI Engineer World's Fair, will you be taking the stage there, or are we going to defer that to Satya?[00:41:01] Ben Dunphy: And I'm happy[00:41:02] Sam Schillace: to talk to folks. I'm happy to be there. It's always fun to like I, I like talking to people more than talking at people. So I don't love giving keynotes. I love giving Q and A's and like engaging with engineers and like. I really am at heart just a builder and an engineer, and like, that's what I'm happiest doing, like being creative and like building things and figuring stuff out.[00:41:22] Sam Schillace: That would be really fun to do, and I'll probably go just to like, hang out with people and hear what they're working on and working about.[00:41:28] swyx: The AI leadership track is just AI leaders, and then it's closed doors, so you know, more sort of an unconference style where people just talk[00:41:34] Sam Schillace: about their issues.[00:41:35] Sam Schillace: Yeah, that would be, that's much more fun. That's really, because we are really all wrestling with this, trying to figure out what it means. Right. So I don't think anyone I, the reason I have the Scalache laws kind of give me the willies a little bit is like, I, I was joking that we should just call them the Scalache best guesses, because like, I don't want people to think that that's like some iron law.[00:41:52] Sam Schillace: We're all trying to figure this stuff out. Right. Like some of it's right. Some it's not right. It's going to be messy. We'll have false starts, but yeah, we're all working it out. So that's the fun conversation. All[00:42:02] Ben Dunphy: right. Thanks for having me. Yeah, thanks so much for coming on.[00:42:05] Final Plug for Tickets & CFP[00:42:05] Ben Dunphy: For those of you listening, interested in attending AI Engineer World's Fair, you can purchase your tickets today.[00:42:11] Ben Dunphy: Learn more about the event at ai. engineer. You can purchase even group discounts. If you purchase four more tickets, use the code GROUP, and one of those four tickets will be free. If you want to speak at the event CFP closes April 8th, so check out the link at ai. engineer, send us your proposals for talks, workshops, or discussion groups.[00:42:33] Ben Dunphy: So if you want to come to THE event of the year for AI engineers, the technical event of the year for AI engineers this is at June 25, 26, and 27 in San Francisco. That's it! Get full access to Latent Space at www.latent.space/subscribe

Superhuman recently launched AI-powered Summarize and Instant Reply features, and has since processed 4 billion emails. On this week's episode of Unsupervised Learning, we sat down with CEO and Founder at Superhuman, Rahul Vohra. Rahul shared with us what email will look like in the future, the internal product design decisions in building Summarize and Instant Reply, why he's bullish on the agentic future, and why and how startups should go after incumbents. (0:00) intro (1:20) why email will never die(10:46) how ChatGBT changed Superhuman (17:01) making design decisions (24:34) how Superhuman personalizes email voices (28:35) choosing which models to use (31:00) how does cost play into decision-making (34:10) teaching users how to use AI (46:27) competing with incumbents (56:57) how work has evolved (59:02) how Rahul would redesign Slack / Slack Agent (1:04:54) Jacob and Pat debrief With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

There's an ongoing debate about where the most value will accrue in AI between incumbents and startups. Of the incumbents, few have shipped product faster than SalesforceAI. Today on Unsupervised Learning we had on Clara Shih, CEO of SalesforceAI and one of Time Magazine's 100 Most Influential People in AI.  (0:00) intro(0:50) work practices that will become irrelevant(1:37) revolutionizing reply recommendations and case summaries(4:57) newest Salesforce products(5:53) structuring teams(7:22) engineering trust into AI products(11:58) combining in-house models with ChatGBT(13:33) Gucci's AI adoption(16:01) how does Salesforce choose who to share their data with?(20:29) AI costs(26:29 creating unique voices for brands(27:45) AI incumbents vs. startups(29:54) what Clara would build if she had the time(32:28) the future of Slack(35:55) what percent of customer support questions can be answered by AI?(38:37) over-hyped/under-hyped(39:32) working with Mark Benioff(40:46) Jacob and Pat debrief(44:42) Slack is the perfect interface for generative AI(46:10) Abridge investment(48:15) Ideogram investment With your co-hosts:  @jacobeffron  - Partner at Redpoint, Former PM Flatiron Health  @patrickachase  - Partner at Redpoint, Former ML Engineer LinkedIn  @ericabrescia  - Former COO Github, Founder Bitnami (acq'd by VMWare)  @jordan_segall  - Partner at Redpoint

Collin welcomes back Ryan Staley to discuss specific use cases of AI in sales. They explore how sales leaders can leverage AI to create an entire sales organization in just 20 minutes, as well as using AI for predictive analysis and client segmentation. They emphasize the importance of providing enough context when using AI and how regular use improves the ability to ask specific questions. They also discuss the potential for sales leaders with AI skills to earn higher salaries.Follow the Host:Collin Mitchell (Partner, Leadium)Our Episode Guest:Ryan Staley (Founder and CEO, Whale Boss)Sponsored By:Leadium | The leader in outbound sales appointment setting*If you'd like to be a guest on the show or have any questions, email us at guest@salestransformation.co - Just tell us why you're reaching out and we'll contact you as soon as we can!

JP'S LINKEDIN PROFILE FULL REVIEW! UNREAL. 2024 IS GONNA BE A TUFF YEAR. The Boyz talk SF supercross recap, Roczen cringe, GTBG+ call-ins and much more.