Podcasts about distill

The Blottos start by getting back to their theater roots with an update on the Blotto Beatles: The Musical. From there we welcome guest and comedian Julie Klausner as we discuss if “Marmalade Full of Botulism” is the best Warren Zevon record; if Ringo has actually ever had pizza;  opinions on Bill Burr, Billy Corgan, and Ben Franklin; if the Blottos are cats or dogs; if birds ever wing; and the Broadway cover “Til There Was You.”As always, you can find Team Blotto Beatles on Instagram (@blottobeatles) and Twitter / X (@blottobeatles), by emailing us (blottobeatles@gmail.com), or on the web (blottobeatles.com).  We want to hear from you!Please also take the time to rate and review us on Apple podcasts or wherever you get your podcasts.We have a shop!  Grab some merch.  You can always drunk dial us at 1.857.233.9793 to share your thoughts, feedback, confessions, and concerns to be featured in an upcoming episode. Enjoying the show? Buy us a beer via the tip jar (don't forget to include a message telling us what we should drink with the money).You know we're making a list of it, see the canonical, argument-ending list of Beatles songs we are assembling here: http://www.blottobeatles.com & listen to it on Spotify here.Please remember to always enjoy Blotto Beatles responsibly.Peace and Love.Hosts: Becker and TommyGuest: Julie Klausner (@julieklausner)Executive Producer: Scotty C.Senior Director of Sonic Strategies: RBAssociate Musical Supervision: Tim Clark (@nodisassemble)IArtist-in-Residence: Colin Driscoll (@theroyal.we)

In this episode, Nick sits down with one of his best friends, and also, boss, and they discuss volunteer, not only recruiting, but also how to create such a strong volunteer team that volunteers would never choose to leave your team. Be sure to stick around for the surprising strategy that actually keeps volunteers on the team longer!

Jamie Schwartzman, Chief Creative Strategist and founder of Flux Branding, shares his insights on the intricacies of branding and the importance of change. With over 25 years of experience, Jamie discusses his approach to crafting authentic brand stories, the impact of technology on branding, and the ethical considerations in modern communications. Featured on Gordon Ramsay's 'Food Stars,' Jamie talks about his experience on the show, as well as personal challenges like the devastating fires in Los Angeles. He delves into Flux Branding's IDEA method (Ignite, Distill, Energize, Activate), collaboration in a virtual workspace, and the significance of brand identity during times of change. Read the show notes here:   https://www.voiceofinfluence.net/348 Give and receive feedback that makes a difference! Register for our 20 minute Deep Impact Method video course here:  www.voiceofinfluence.net/deepimpact

What a week, folks, what a week! Buckle up, because ThursdAI just dropped, and this one's a doozy. We're talking seismic shifts in the open source world, a potential game-changer from DeepSeek AI that's got everyone buzzing, and oh yeah, just a casual $500 BILLION infrastructure project announcement. Plus, OpenAI finally pulled the trigger on "Operator," their agentic browser thingy – though getting it to actually operate proved to be a bit of a live show adventure, as you'll hear. This week felt like one of those pivotal moments in AI, a real before-and-after kind of thing. DeepSeek's R1 hit the open source scene like a supernova, and suddenly, top-tier reasoning power is within reach for anyone with a Mac and a dream. And then there's OpenAI's Operator, promising to finally bridge the gap between chat and action. Did it live up to the hype? Well, let's just say things got interesting.As I'm writing this, White House just published that an Executive Order on AI was just signed and published as well, what a WEEK.Open Source AI Goes Nuclear: DeepSeek R1 is HERE!Hold onto your hats, open source AI just went supernova! This week, the Chinese Whale Bros – DeepSeek AI, that quant trading firm turned AI powerhouse – dropped a bomb on the community in the best way possible: R1, their reasoning model, is now open source under the MIT license! As I said on the show, "Open source AI has never been as hot as this week."This isn't just a model, folks. DeepSeek unleashed a whole arsenal: two full-fat R1 models (DeepSeek R1 and DeepSeek R1-Zero), and a whopping six distilled finetunes based on Qwen (1.5B, 7B, 14B, and 32B) and Llama (8B, 72B). One stat that blew my mind, and Nisten's for that matter, is that DeepSeek-R1-Distill-Qwen-1.5B, the tiny 1.5 billion parameter model, is outperforming GPT-4o and Claude-3.5-Sonnet on math benchmarks! "This 1.5 billion parameter model that now does this. It's absolutely insane," I exclaimed on the show. We're talking 28.9% on AIME and 83.9% on MATH. Let that sink in. A model you can probably run on your phone is schooling the big boys in math.License-wise, it's MIT, which as Nisten put it, "MIT is like a jailbreak to the whole legal system, pretty much. That's what most people don't realize. It's like, this is, it's not my problem. You're a problem now." Basically, do whatever you want with it. Distill it, fine-tune it, build Skynet – it's all fair game.And the vibes? "Vibes are insane," as I mentioned on the show. Early benchmarks are showing R1 models trading blows with o1-preview and o1-mini, and even nipping at the heels of the full-fat o1 in some areas. Check out these numbers:And the price? Forget about it. We're talking 50x cheaper than o1 currently. DeepSeek R1 API is priced at $0.14 / 1M input tokens and $2.19 / 1M output tokens, compared to OpenAI's o1 at $15.00 / 1M input and a whopping $60.00 / 1M output. Suddenly, high-quality reasoning is democratized.LDJ highlighted the "aha moment" in DeepSeek's paper, where they talk about how reinforcement learning enabled the model to re-evaluate its approach and "think more." It seems like simple RL scaling, combined with a focus on reasoning, is the secret sauce. No fancy Monte Carlo Tree Search needed, apparently!But the real magic of open source is what the community does with it. Pietro Schirano joined us to talk about his "Retrieval Augmented Thinking" (RAT) approach, where he extracts the thinking process from R1 and transplants it to other models. "And what I found out is actually by doing so, you may even like smaller, quote unquote, you know, less intelligent model actually become smarter," Pietro explained. Frankenstein models, anyone? (John Lindquist has a tutorial on how to do it here)And then there's the genius hack from Voooogel, who figured out how to emulate a "reasoning_effort" knob by simply replacing the "end" token with "Wait, but". "This tricks the model into keeps thinking," as I described it. Want your AI to really ponder the meaning of life (or just 1+1)? Now you can, thanks to open source tinkering.Georgi Gerganov, the legend behind llama.cpp, even jumped in with a two-line snippet to enable speculative decoding, boosting inference speeds on the 32B model on my Macbook from a sluggish 5 tokens per second to a much more respectable 10-11 tokens per second. Open source collaboration at its finest and it's only going to get better! Thinking like a NeuroticMany people really loved the way R1 thinks, and what I found astonishing is that I just sent "hey" and the thinking went into a whole 5 paragraph debate of how to answer, a user on X answered with "this is Woody Allen-level of Neurotic" which... nerd sniped me so hard! I used Hauio Audio (which is great!) and ByteDance latentSync and gave R1 a voice! It's really something when you hear it's inner monologue being spoken out like this! ByteDance Enters the Ring: UI-TARS Controls Your PCNot to be outdone in the open source frenzy, ByteDance, the TikTok behemoth, dropped UI-TARS, a set of models designed to control your PC. And they claim SOTA performance, beating even Anthropic's computer use models and, in some benchmarks, GPT-4o and Claude.UI-TARS comes in 2B, 7B, and 72B parameter flavors, and ByteDance even released desktop apps for Mac and PC to go along with them. "They released an app it's called the UI TARS desktop app. And then, this app basically allows you to Execute the mouse clicks and keyboard clicks," I explained during the show.While I personally couldn't get the desktop app to work flawlessly (quantization issues, apparently), the potential is undeniable. Imagine open source agents controlling your computer – the possibilities are both exciting and slightly terrifying. As Nisten wisely pointed out, "I would use another machine. These things are not safe to tell people. I might actually just delete your data if you, by accident." Words to live by, folks.LDJ chimed in, noting that UI-TARS seems to excel particularly in operating system-level control tasks, while OpenAI's leaked "Operator" benchmarks might show an edge in browser control. It's a battle for desktop dominance brewing in open source!Noting that the common benchmark between Operator and UI-TARS is OSWorld, UI-Tars launched with a SOTA Humanity's Last Exam: The Benchmark to BeatSpeaking of benchmarks, a new challenger has entered the arena: Humanity's Last Exam (HLE). A cool new unsaturated bench of 3,000 challenging questions across over a hundred subjects, crafted by nearly a thousand subject matter experts from around the globe. "There's no way I'm answering any of those myself. I need an AI to help me," I confessed on the show.And guess who's already topping the HLE leaderboard? You guessed it: DeepSeek R1, with a score of 9.4%! "Imagine how hard this benchmark is if the top reasoning models that we have right now... are getting less than 10 percent completeness on this," MMLU and Math are getting saturated? HLE is here to provide a serious challenge. Get ready to hear a lot more about HLE, folks.Big CO LLMs + APIs: Google's Gemini Gets a Million-Token BrainWhile open source was stealing the show, the big companies weren't completely silent. Google quietly dropped an update to Gemini Flash Thinking, their experimental reasoning model, and it's a big one. We're talking 1 million token context window and code execution capabilities now baked in!"This is Google's scariest model by far ever built ever," Nisten declared. "This thing, I don't like how good it is. This smells AGI-ish" High praise, and high concern, coming from Nisten! Benchmarks are showing significant performance jumps in math and science evals, and the speed is, as Nisten put it, "crazy usable." They have enabled the whopping 1M context window for the new Gemini Flash 2.0 Thinking Experimental (long ass name, maybe let's call it G1?) and I agree, it's really really good!And unlike some other reasoning models cough OpenAI cough, Gemini Flash Thinking shows you its thinking process! You can actually see the chain of thought unfold, which is incredibly valuable for understanding and debugging. Google's Gemini is quietly becoming a serious contender in the reasoning race (especially with Noam Shazeer being responsible for it!)OpenAI's "Operator" - Agents Are (Almost) HereThe moment we were all waiting for (or at least, I was): OpenAI finally unveiled Operator, their first foray into Level 3 Autonomy - agentic capabilities with ChatGPT. Sam Altman himself hyped it up as "AI agents are AI systems that can do work for you. You give them a task and they go off and do it." Sounds amazing, right?Operator is built on a new model called CUA (Computer Using Agent), trained on top of GPT-4, and it's designed to control a web browser in the cloud, just like a human would, using screen pixels, mouse, and keyboard. "This is just using screenshots, no API, nothing, just working," one of the OpenAI presenters emphasized. They demoed Operator booking restaurant reservations on OpenTable, ordering groceries on Instacart, and even trying to buy Warriors tickets on StubHub (though that demo got a little… glitchy). The idea is that you can delegate tasks to Operator, and it'll go off and handle them in the background, notifying you when it needs input or when the task is complete.As I'm writing these words, I have an Operator running trying to get me some fried rice, and another one trying to book me a vacation with kids over the summer, find some options and tell me what it found. Benchmarks-wise, OpenAI shared numbers for OSWorld (38.1%) and WebArena (58.1%), showing Operator outperforming previous SOTA but still lagging behind human performance. "Still a way to go," as they admitted. But the potential is massive.The catch? Operator is initially launching in the US for Pro users only, and even then, it wasn't exactly smooth sailing. I immediately paid the $200/mo to try it out (pro mode didn't convince me, unlimited SORA videos didn't either, operator definitely did, SOTA agents from OpenAI is definitely something I must try!) and my first test? Writing a tweet

durée : 00:03:39 - L'éco d'ici en Franche-Comté - Originaire du Jura, Baptiste Dayet a suivi une trajectoire loin de la distillation comme de ses racines. Se réorienter vers une activité artisanale en lien avec la terre est ensuite devenu une évidence, explorant la production de plantes aromatiques et médicinales avant de découvrir les spiritueux

In this episode of the “Weinberg in the World” podcast, student host Smera Dwivedi interviews Katrina Gentile, VP and head of global strategy at Wella Company. Katrina, a Northwestern alum, shares her career journey from consulting at BCG to various roles in the beauty industry, including a long tenure at Estée Lauder and her current role at Wella. She discusses her passion for problem-solving, her transition from consulting to corporate strategy, and her interest in the emotionally driven beauty industry.  Transcript: Smera: Okay. Welcome to the Weinberg in the World Podcast, where we bring stories of interdisciplinary thinking in today's complex world. My name is Smera Dwivedi, and I'm your student host of this special episode of the podcast. I'm a second-year student studying chemistry on the pre-medical path, and today I'm excited to be speaking with Ms. Katrina Gentile who is the VP and head of global strategy at Wella Company. Thank you so much for taking the time to speak with me today. Katrina: Oh, it's my pleasure. Happy to be here. Smera: To start off with today, I would just like you to go ahead and introduce yourself. Katrina: So, hi. I'm Katrina Gentile. I am a proud Northwestern alum. I graduated class of 2008. I have spent my career in various business fields. I was an econ and math double major at Northwestern, and I started my career in consulting at BCG right out of undergrad. After that, I've spent the rest of my career in the beauty industry, so from consulting, went to Estée Lauder in a corporate strategy role for two years, and then after that, spent about eight years operating at Estée Lauder. In between, I got my MBA. And after Estée Lauder, spent a couple of years in startup land at a couple of indie brands in the beauty space before joining Wella at the beginning of this year as the head of strategy. So really thrilled to be a part of the Wella Company journey. It's a long history, a 140-year company, but only four years as an independent company so we're trying to figure out not just, we're grown up, but we're still trying to figure out what we want to be when we grow up, and that's a large part of my role. That's me personally. I have a mom, I have two little kids, six and three, and most of my free time is with them on whatever it is they want to do. Smera: That's adorable. So how did you end up picking Wella or end up being where you are now? Katrina: Well, where I am now is a bigger question than Wella. Maybe I'll start with the bigger question and then get to Wella. I ended up where I am now for two reasons. One, I've always loved solving problems. I remember doing word searches as a kid, math books, and it sounds corny, but it was always something like puzzles and games and crosswords and things like that was just always something that kept my mind busy. And that's actually what really led me to consulting because consulting is all about solving problems for companies. And I truly believe BCG is the best job, first job for any person. And not just BCG, but consulting in general. I had a really incredible formative experience there. I use those skills every day, not just in this role, but in every role I've had. And I ended up using that BCG platform to go to Estée Lauder and start in corporate strategy and then ultimately operate. Beauty has always been something I've been interested in personally as a consumer, but more because I find beauty to be a very emotionally driven category, and it's about making someone feel good, and I love that. I love that about what I do. And so when the opportunity arose to go to Estée Lauder, I jumped at it and I had a very long career at Estée Lauder that really brought me to Wella. And I think doing my detour in startup land, Wella is a happy medium, and that's why I joined the company. I'm excited about this role and continue to be excited about this role. We are a mid-sized, I would say, company. We're not as big as Estée Lauder, but we're not as small as a startup. We're somewhere in the middle and we're trying to establish what the future looks like for our company. Right now we're owned by a private equity firm called KKR. And KKR doesn't want to own us forever. No private equity wants to own any asset forever. So it's a really exciting journey to say, "Okay, what does our company look like in a post-KKR world? What do we want to be? How do we want to establish ourselves? What capabilities do we need to build to get there?" And from a strategy perspective, for someone like me who likes solving problems, there's a lot of them to solve. So that's been the common thread in my career, and that's ultimately what brought me to Wella company. Smera: Got you. Okay, that makes sense solving problems. How did you end up deciding on Wella, or how did you find BCG or Estée Lauder as a position or a company that you could be a part of? Katrina: So look, it was very different in my day when I went to Northwestern. I understand now that people apply for summer internships a long time before the internship happened. When I was in college, that was not a thing. So I remember going through recruiting for my BCG summer internship through campus recruiting. I think I went through it in January and my summer started in June. It was not a long gap, and I found it just by knowing that consulting was of interest and going to the campus recruiting sessions and signing up for the campus interviews and then doing a campus interview. So it was a very straightforward path for me at BCG. And from BCG, again, I am going to date myself here, but finding my first job at Estée Lauder was just a, it was a very similar process. Lauder posted a job on BCG's job board. I applied for it, and I interviewed for it. But in a lot of ways, I think things are more difficult today. I mean, I watch people going through consulting interview processes, and I hear people talking about how much farther in advance it is and how fewer spots there are, or I guess more people applying for more spots so the take rate is lower. So I fully recognize that my journey is a little bit different, but that was my path, at least to BCG and Lauder. From Lauder, it's been much more about my network. And that's one piece of advice that I really give to everybody is this concept of a network seems so theoretical, I think, and it did to me too, until you have to use it. And when I left Estée Lauder and was looking for what I wanted to do next, I was senior enough in my career that it was no longer like a job gets posted, you apply for it and you get interview and you get it. A lot of these, especially in beauty and especially in some of these industries that are a little more tight-knit, a lot of positions aren't posted. A lot of positions are done through someone who knows someone who knows someone or private equity companies who have this network of executives that they place in roles. And what I found actually is that when I left Estée Lauder, both of the startups I worked for were people I'd worked for at Estée Lauder or worked with at Estée Lauder, worked alongside at Estée Lauder who were looking for someone, and neither of the jobs I had were posted publicly. They were both word of mouth through my network that I ended up working there. And Wella was similar. So my old boss at Lauder is now at KKR who owns Wella Company, and she introduced me to my now boss at Wella. So all of that to say, I think I can't stress enough how every person you interact with may come back somewhere. Just today I was talking to our new head of HR, and it turns out she's also a Northwestern alum and we overlapped when we were there. And it's really crazy how we didn't know each other at Northwestern, but it's really crazy how small the world is and so my best advice to people is it's never too soon to start making genuine connections. It's never too soon to start engaging with people and asking them what they're interested in and talking to them about what you're interested in because you never know when it'll come back and when you'll be looking for something or someone that they might have something or someone for. Smera: Right. Okay, this makes sense. So you said your advice is to expand your network, make sure you are networking. What's the best way you can ensure you're doing that because it's nice to say, but that putting it into- Katrina: You know what? I don't actually actively network. I don't go to networking events. Well, I guess sometimes I do, but always because I'm genuinely interested in the event, not because I want to broaden my network. My network has been built by genuinely engaging with people that I meet and I work with. So I didn't go to a networking event and meet people, though I know that that is a viable way. I'm a little bit of an introvert in some ways, and I'm not very good in those situations where I don't know anyone and I'm like, it's hard for me to find my way. I actually find I do best just by talking to people in confined settings that I know. So every job, every internship I've had, I've really stayed in touch with people, even if it's just quick emails or texts or following them on Instagram and DM-ing them sometimes. And to me, that feels much more authentic. It's something that I do because I choose to, not because I have any sort of motive. And what I realized when I was looking to leave Lauder and then when I was looking for this new role at Wella about a year ago, is that even people that I hadn't done that or spoken to or texted with in the last three or four years, because I had genuinely invested them in them at the time that I worked with them, when I reached back out of the blue, they were always willing to help, always willing to answer an email, always willing to answer a call. And a couple of those people ended up helping me find really meaningful opportunities. And I had an advisory role at a company that came to me through someone that I worked with at BCG who I haven't spoken to probably since 2012, 2013. But because I reached out to her with a question on something else, she was like, "Oh, hey, actually there's something that maybe you could be interested in," and she followed up. So it's about figuring out what works for you. Somebody who's really outgoing and has no social anxiety or anything might like going to networking events. For me personally, I prefer the one-on-one connections, and I just encourage people to do what feels genuine to them because other people can tell when it's not authentic, right? Smera: Got it, understood. It's good advice that I will have to take part of. So with all your roles and your career, what's something you wish you did differently or regret or wish you took a different approach in? Katrina: That's a great question. I think everybody needs to trust their gut and not what somebody else defines for you as you should do for your career or should be a path for your career. For me personally, I went and worked in a couple of startups, and I think I knew to be honest with you in my gut that startup life wasn't necessarily for me. I think I knew that I preferred the security and the safety of a big company, but everybody in my business school class was going to startups and so I was like, yeah, I should do that too. I learned a ton. I mean, it was probably the biggest two-year learning experience in my life, but it wasn't for me and I think I knew that at the beginning, but I felt like that's what an HBS grad should do so that's what I did. And at the end, it ended up being two years that it could have been better served somewhere else for me, if I'm honest. So I think trusting your gut is a big thing, knowing what works for you personally and not being swayed is a big thing. And I would say the other thing is, at least when I graduated, and I don't know how it is today, there was a lot of pressure to have a very linear path. Like you did two years in consulting, then you went to HBS, then you did this, then you did that, then you did this, and I had that mindset for myself to be a CEO someday that this is what I had to do and it was very linear. And I realized, somebody said to me a couple years ago when I was not super happy in startups that if you look at people with linear career paths, they're usually pretty boring careers, and that has stuck with me since someone that advice was given to me because at the end of the day, I want to do work that I feel happy doing and that has meaning. Smera: Right. Katrina: And yeah, I don't think that doing something linearly always gets you there. Smera: Understood. I think in undergrad especially, it's easier to think of your future career as being pretty linear, but it's usually not going to be like that, so that's great to hear. That's very reassuring. Okay, so you said you started BCG with a career fair of some sort at Northwestern? Katrina: Yeah, they did a campus recruiting event. Smera: Okay, okay. Did you ever look into anything else other than BCG? Katrina: Well, I applied to all the consulting firms. Smera: [inaudible 00:13:07]. Katrina: BCG, Bain, McKinsey, there were some others I applied to at the time. But I had done a summer in investment banking my sophomore year summer, and then I applied to BCG in consulting for my junior year summer. Smera: Okay. Katrina: I was super fortunate that I hadn't offered to go back to Citigroup my junior year summer, so I worked there as a sophomore. They had a sophomore program at that time, and they made me an offer to come back as an IB intern my junior summer. So I was very lucky in the sense that I had a fallback that was very, very good, and I didn't do a lot of summer recruiting, but I was very lucky to get an internship at BCG. And then I came back to BCG full-time after I graduated. Smera: Got you. And so then when you started college, did you know you wanted to go into consulting or investment banking of some sort? Katrina: Yes and no. I knew I was interested in business, so I knew that I wanted to study economics. I tested that hypothesis a little bit, but I thought that's what I wanted to study. I didn't know what that would mean. And I think a lot of eighteen-year-olds don't, quite honestly. Other than people who say with confidence that they want to be pre-med or that they want to be a very specialized field, I think a lot of people, at least in my experience, were exploring at that time. So I think that there was, I sort of knew, but not really. I didn't know what it would look like. That really was crystallized for me when I did my summer in banking, which I took it as I have this cool opportunity, let me just try it out. And the summer prior, I had worked in city government in Boston where I'm from in the Economic Development Council Office. And so I knew a little bit about what public service could look like or government could look like, and then I figured I'd go the extreme other direction in banking and consulting actually was somewhere in the middle. Smera: Understood. Actually just speaking of your time in undergrad, do you remember what was probably the hardest thing to understand as an undergrad or hardest class or something social that was just difficult to overcome or to deal with? Katrina: Say it one more time. I'm not sure I followed the question. Smera: Well, when you were in undergrad, what would be the hardest thing you faced that was aside from just academics? Katrina: Oh, in undergrad, that's a great question. I think, and look, I acknowledge that this is a very privileged thing to be able to say, but I don't think I struggled with too much in undergrad only in the sense that I found my group at Northwestern, my people really early, and I think that that is something that I don't undervalue. I was very fortunate. I lived in Allison Hall and my freshman year roommate is still my best friend to this day. My kids call her Auntie Janelle. She is fantastic. And I lived down the hall from a group of individuals, four or five guys, and Janelle and I just became super close, and they're still, all of them are still in my life today. And that group really got me through Northwestern. So no matter what I was struggling with, no matter what I faced, I had this close group of six or seven people that I leaned on. And it wasn't to say that I had a easy-breezy ride. There were definitely drama moments and things that I didn't do as well as I wanted to do, but if I really take a step back and look at it, I don't feel like there was something where I would say, "Yeah, I really had a tough time with that particular thing," right? Smera: Right. Katrina: It was more just there was the initial adjustment to college and then making sure I stayed on top of my grades and stayed on top of the extracurriculars and all of those sorts of things. But truly for me, the people that came out of Northwestern really helped me through a lot of it. So, yeah. Smera: That's good to know. And it's good to know that you're still friends with her. That's- Katrina: Oh yeah, and not just her. I mean, all of them are still in my life. One of my friends has three children, two of them are about the same age as two of my kids, and they come once a year and spend a weekend with us in New York. We go and see them in Massachusetts a lot. These are lifelong people for me, and I can't stress enough how grateful I am to Northwestern for giving me that community. Smera: That makes sense. Then speaking of your friends, how often do you, you just mentioned you ran into a Northwestern alum in your company and you guys actually overlapped. How often does that happen? Katrina: Somewhat frequently, I would say. As much as you'd think. I think the community of Northwestern and New York community is maybe a little bit less concentrated, and then Northwestern and New York and beauty community is maybe a little less concentrated. There were definitely a couple of us in my class at business school and every so often there's so-and-so who knows so-and-so who knows so-and-so. But I think that the people that I've stayed in touch with from Northwestern are the ones, and that are in my life from Northwestern, are the ones that I knew in college. There have been a couple new ones, but maybe not as often as you'd think, at least in my particular city industry combo. Smera: That's wonderful to know. You said not very much in New York. Would you ever consider going back to Boston? Katrina: That's a loaded question. If my parents are watching this, absolutely because they still live there. No, honestly, the answer is probably no, unless there was some real reason for it. I love New York City. I live in Brooklyn and Park Slope. I love Park Slope. My kids love it here. My husband's very happy here. I don't see any world that we leave before our kids go to college, and then when I leave, I'm not going somewhere cold. Smera: Makes sense. That makes a lot of sense. Do you think the alumni community is bigger in Boston or in New York? Katrina: Probably in New York, but I think in Chicago is where it's probably most prominent. Smera: Right, it's going to be the most concentrated. Katrina: The other thing I would say is just for me also because I did go to graduate school, I have two alumni communities. And the HBS community is very, very strong here in New York so that might be a part of it too for me is just having those two different elements. Smera: That makes sense. That makes a lot of sense. So what kind of skills or habits did you pick up on, or talents did you pick up on that have helped you in your career? Like stuff you learned at whether it was BCG that's helped you now, at Wella or even other types of skills or talents or abilities? Katrina: I would say that the biggest capability build I had was at BCG. And I'll tell you that the couple of things that I still carry with me from my BCG days because I believe that they are the reason I've been able to make it this far. Number one is a really robust analytical toolkit, so being able to work quickly in Excel. Some of that is just I am a mathematical person by nature, I was a math major, but I can build models, I can use Excel. I'm not the best, but I can do well enough to get me through, and that I think if number one. Number two is the ability to learn quickly. It's something that when you're a consultant is really important because you're not on a client project for two years. You're on a client project sometimes as short as six weeks, and you need to be able to learn that client's business and speak about it with confidence really, really fast. So the first week of any client engagement, you are really learning that client's business. And if on week two you're expected to know at least the industry and the category and the dynamics. And so the ability to learn and digest information quickly is something that in every job I've had since BCG has been called out as one of my strengths, and I really attribute that to BCG. The third thing is the ability to see both big and small. And it's another thing that when I look at folks, especially in beauty who have grown up in beauty, a lot of times it's really hard for them to step back and see the bigger picture. And that's something that consulting really teaches you from a very, very junior age or a junior tenure that I think has helped me tremendously. The ability to take a step back and say, okay, what is the actual story here? What is actually going on? Distill a complex problem, make it seem simple, and then really walk through the action items that could get us to where we need to be. I would say the last thing is the confidence to work with senior people, even when you're junior, to speak up to express your mind in a way that is not arrogant, that's not seen as overstepping, but that's additive and that shows it really is inquisitive and adds value. So those are the things I would say I learned at BCG. Smera: Okay, and then similarly, I'm not as familiar with the field of consulting. I've always been in the medical path. What's a big misconception people have about the field or the people or the work? Katrina: I mean, I think all those consulting movies are actually a misconception. There is some element of you come in, you tell people what to do and you leave. That is sort of true. You don't actually do it yourself. There is a little bit of truth to it, but I think that consultants really can be thought partners if business leaders let them be. And I do believe that people who have a couple of years of consulting experience can go and do, not everything, we can't go be a doctor, but learning how to tackle a problem and learning how to learn quickly can allow you to be successful in a range of jobs beyond being a consultant. Smera: Right. And so similarly, it feels like you have a lot of skills and abilities that you were able to pick up through this career, but how does that help you balance between your personal interests? Like you said, you're a mother, you have two kids. How are you balancing that with your lifestyle? Katrina: There is no balance. There is no balance. There's only trying, right? Smera: Okay. Katrina: And I think that I tell myself all the time that there will be a day that my kids don't want to sit down and have dinner with me, but right now they do and I need to take advantage of that. And I think 80% of balance is mental. 80% of it is acknowledging that you won't be able to do something for work because you're going to do something for your kids and making that choice and being okay with making that choice and letting it go. And that's taken me a long time to figure that out. My daughter is almost seven, and I think I'm just now figuring it out. And I'll probably keep figuring it out as she gets older, my older one. But I think if we strive for balance, we'll never get there. We just have to strive for doing our best and acknowledge that our best will never be good enough on everything and that's okay, as long as it's good enough on some things at the right times. Smera: Exactly. And then when it's not good enough, how do you stay motivated? How do you [inaudible 00:24:15]? Katrina: I had a boss once who whenever she would see someone starting a spiral, she'd start singing, "Let it Go" from Frozen, just break out in song and just start singing it. And I hear her singing in my head sometimes when I start to get myself down a path like that and I just let it go. I have to force myself to let it go. You have to because otherwise the anxiety will drive you crazy. No one person can do it all. This concept of having it all, you can have it all at the right times and different times, but I have yet, at least anyway, to meet anyone who has it all in that very traditional excels in all areas at all times in all ways concept. You can excel in some areas. I can excel at work this year, and maybe next year I'll excel at my family life and do okay at work, but it's hard to keep every ball equally high in the air at all times. I personally haven't found the solution. If you do, you let me know. Smera: Oh, no. Especially I feel like going to Northwestern, it seems like everybody's at there all at all times and that's just not true, so it's definitely good advice. And then speaking up, how do you determine whether you take a risk or you play it safe in something like your career? Katrina: I don't think you can determine each. You got to trust your gut. Smera: Right, okay. Katrina: You got to trust your gut. You got to know. I always ask myself what's the worst thing that can happen? I get fired and I find another job. What's the worst thing that happen if the company goes under? I find another job. What's the worst thing that can happen? I've been sharing a lot of past boss anecdotes. Another one, I had a past boss who used to say, "It's just lipstick. We just sell lipstick. We don't cure cancer." And I think the perspective is important. What is truly the worst thing that could happen? If this decision that I'm making fails, we sell a little less lipstick, we'll probably still be okay. So I think that it's just about, it's not easy. I'm making light of what is a very difficult thing because I too can second guess every decision I make all the time, but I think over time I've just had to force myself to just make a call and trust my gut. Smera: Well, that's really good advice. And then speaking of what's a time where you might've not done as well as you'd liked or you failed at something and how did you grow from it if it was something like that? Katrina: I mean, look, there are tons of times I can point to where I haven't done as well as I'd hoped, and I said it, nobody's perfect. Nobody excels all the time. I think one that comes to mind is I can't, obviously confidentiality I can't go into too many details, but the startups I worked at, neither one of them flew off the shelves. There were times where we had launches that didn't work. There were times where the business was struggling. There were times, and I think that's part of being a startup. That's part of working at a small company that doesn't do billions of dollars or even hundreds of millions of dollars in revenue. There are things that you do that don't work. I think what I have to remind myself in those moments is this is how companies are built. This is how people are built. This is how people learn. This is how people grow. No company, no person, no project hits it out of the park every time. And it's about what you do with the learning rather than being perfect at all times. Because if you're perfect at all times, you never learn. You just keep doing the same thing. So I think that's the mindset you have to have. To me it's all mental and it's all what you make of it, and it's all how you take that learning and don't do it again and use it to do something else that's even better that's important. Smera: For sure. So to close us off because I don't want the Zoom to cut me off, but just to close us off, what is the best piece of general advice you could give to somebody in your position? Katrina: In my position or at Northwestern? Smera: I mean, both. Let's say both. Katrina: Okay. So if I were talking to current students, my best advice is don't do the thing that you think you're supposed to do. Do the thing that you think you'll be good at. Smera: Okay. Katrina: And I think I see too many people saying, "Well, I'm supposed to do X. I should do Y. My parents think I should do Z. I always wanted to do X, so I'm going to do it." That's a recipe in my opinion, for being unhappy in whatever it is you choose to do. You spend more time at work than you do with your family. You spend more years working than you do in school. Pick the thing that's really you're going to enjoy and that makes you happy and do it. And if you don't want to do X, Y, and Z, don't do it just because your parents think you should, or your friends or your career counselor or your teacher or your brother or whomever. It's not just parents. It's any number of people. So that's my best advice to students. I would say to people in my position or who are looking to do what I do or who are mid to later in their careers, the advice I give is the advice I gave earlier, which is don't underestimate the power of talking to people and building genuine relationships with people because you never know when someone's going to need someone like you. And if they don't think of you or they think of you in a negative light, that won't be you. So that's the advice that I would give to people. Smera: Definitely heavy on the first one. My parents pushed me towards a medical path. I wasn't sure if I wanted to so we'll see how that ends up being. Katrina: Look, it's a long life. It's a long life. Whatever you choose, you're going to keep doing it and you got to love it, especially medicine. My sister and brother-in-law are both doctors, and I see it firsthand. You've really got to love it. Smera: You have to love it, for sure. And the second one, for sure. Just don't burn bridges, I guess. Katrina: It's not just that. It's not just don't burn bridges. It's really truly invest in people because you want to. Smera: That makes sense. Okay, thank you so much for speaking with us. Katrina: My pleasure. It was lovely getting to know you. Smera: It was wonderful getting to know you too. Thank you for listening to this special episode of Weinberg in the World Podcast. We hope you have a great day, and go Cats.  

Waking Dreams Media helps Tech and Life Science companies turn their complex products into simple videos that customers and investors love. Then, they help them scale their online audience with content. Connect with Luke

 Eric Murr, VP of  Kegerreis Outdoor, shares 11 deadly billboard mistakes to avoid when investing in outdoor advertising.  3 takeaways on this episode of the Close The Deal Podcast: 

Try Miro now: https://tekpon.com/deals/miro-free/ Resourcify's all-in-one digital circularity platform helps businesses rethink their waste, reduce their costs, and restore the planet. Resourcify is on a mission to enable a zero-waste future and circular economy! Through the digitization of daily operations, our recycling platform enables all businesses to manage, track, and improve their recycling while having less administration and saving up to 40% of the costs compared to conventional waste management. Connect with Angeley

Enjoy this re-release of one my top listened to episodes with my guest, Tiago Forte.In this episode, we have the privilege of speaking with productivity expert Tiago Forte. Renowned for his "Second Brain" concept, Tiago offers an innovative approach to managing information and boosting creativity.He introduces the CODE system—Capture, Organize, Distill, and Express—key to streamlining our digital tools and enhancing personal effectiveness. Tiago shares insights on organizing notes by project utility and using the PARA system for more efficient workflows. He discusses the significance of delegation for growth and explores how modern entrepreneurship can evolve beyond founder dependency.Join us for an enlightening discussion with Tiago Forte, packed with strategies that can revolutionize how you approach creativity and productivity.[05.55] Second Brain - the system for our second brain is code, capture, organize, distill, express.   Tiago dives into the code system. [14.49] The PARA method – Tiago defines the PARA method and what the acronym stands for. [21.14] Closing loops – We talk about the misconceptions about closing loops and some ways to close them. [28.29] Information packets – Tiago defines information packets and how they can be used to increase creativity. [39.58] Quality & Quantity – We dive into the relationship between quality and quantity. [43.03] Expression – Tiago explains the three stages of expression; remembering, connecting, and creating  Connect with Tiago:Website - fortelabs.co/                 buildingasecondbrain.com/ LinkedIn - linkedin.com/in/tiagoforte/ YouTube - https://www.youtube.com/c/TiagoForteLabsInstagram - instagram.com/fortelabsco/ Twitter - twitter.com/fortelabsResources:Book by TiagoBuilding a Second Brain: A Proven Method to Organize Your Digital Life and Unlock Your Creative PotentialBook by James A. MichenerThe SourceBook by David SpinksThe Business of Belonging: How to Make Community your Competitive Advantage

Read the 3-part series Jeb wrote for the Love Music More Substack about his system at Part 1

We all have fond memories of the first Dev Day in 2023:and the blip that followed soon after. As Ben Thompson has noted, this year's DevDay took a quieter, more intimate tone. No Satya, no livestream, (slightly fewer people?). Instead of putting ChatGPT announcements in DevDay as in 2023, o1 was announced 2 weeks prior, and DevDay 2024 was reserved purely for developer-facing API announcements, primarily the Realtime API, Vision Finetuning, Prompt Caching, and Model Distillation.However the larger venue and more spread out schedule did allow a lot more hallway conversations with attendees as well as more community presentations including our recent guest Alistair Pullen of Cosine as well as deeper dives from OpenAI including our recent guest Michelle Pokrass of the API Team. Thanks to OpenAI's warm collaboration (we particularly want to thank Lindsay McCallum Rémy!), we managed to record exclusive interviews with many of the main presenters of both the keynotes and breakout sessions. We present them in full in today's episode, together with a full lightly edited Q&A with Sam Altman.Show notes and related resourcesSome of these used in the final audio episode below* Simon Willison Live Blog* swyx live tweets and videos* Greg Kamradt coverage of Structured Output session, Scaling LLM Apps session* Fireside Chat Q&A with Sam AltmanTimestamps* [00:00:00] Intro by Suno.ai* [00:01:23] NotebookLM Recap of DevDay* [00:09:25] Ilan's Strawberry Demo with Realtime Voice Function Calling* [00:19:16] Olivier Godement, Head of Product, OpenAI* [00:36:57] Romain Huet, Head of DX, OpenAI* [00:47:08] Michelle Pokrass, API Tech Lead at OpenAI ft. Simon Willison* [01:04:45] Alistair Pullen, CEO, Cosine (Genie)* [01:18:31] Sam Altman + Kevin Weill Q&A* [02:03:07] Notebook LM Recap of PodcastTranscript[00:00:00] Suno AI: Under dev daylights, code ignites. Real time voice streams reach new heights. O1 and GPT, 4. 0 in flight. Fine tune the future, data in sight. Schema sync up, outputs precise. Distill the models, efficiency splice.[00:00:33] AI Charlie: Happy October. This is your AI co host, Charlie. One of our longest standing traditions is covering major AI and ML conferences in podcast format. Delving, yes delving, into the vibes of what it is like to be there stitched in with short samples of conversations with key players, just to help you feel like you were there.[00:00:54] AI Charlie: Covering this year's Dev Day was significantly more challenging because we were all requested not to record the opening keynotes. So, in place of the opening keynotes, we had the viral notebook LM Deep Dive crew, my new AI podcast nemesis, Give you a seven minute recap of everything that was announced.[00:01:15] AI Charlie: Of course, you can also check the show notes for details. I'll then come back with an explainer of all the interviews we have for you today. Watch out and take care.[00:01:23] NotebookLM Recap of DevDay[00:01:23] NotebookLM: All right, so we've got a pretty hefty stack of articles and blog posts here all about open ais. Dev day 2024.[00:01:32] NotebookLM 2: Yeah, lots to dig into there.[00:01:34] NotebookLM 2: Seems[00:01:34] NotebookLM: like you're really interested in what's new with AI.[00:01:36] NotebookLM 2: Definitely. And it seems like OpenAI had a lot to announce. New tools, changes to the company. It's a lot.[00:01:43] NotebookLM: It is. And especially since you're interested in how AI can be used in the real world, you know, practical applications, we'll focus on that.[00:01:51] NotebookLM: Perfect. Like, for example, this Real time API, they announced that, right? That seems like a big deal if we want AI to sound, well, less like a robot.[00:01:59] NotebookLM 2: It could be huge. The real time API could completely change how we, like, interact with AI. Like, imagine if your voice assistant could actually handle it if you interrupted it.[00:02:08] NotebookLM: Or, like, have an actual conversation.[00:02:10] NotebookLM 2: Right, not just these clunky back and forth things we're used to.[00:02:14] NotebookLM: And they actually showed it off, didn't they? I read something about a travel app, one for languages. Even one where the AI ordered takeout.[00:02:21] NotebookLM 2: Those demos were really interesting, and I think they show how this real time API can be used in so many ways.[00:02:28] NotebookLM 2: And the tech behind it is fascinating, by the way. It uses persistent WebSocket connections and this thing called function calling, so it can respond in real time.[00:02:38] NotebookLM: So the function calling thing, that sounds kind of complicated. Can you, like, explain how that works?[00:02:42] NotebookLM 2: So imagine giving the AI Access to this whole toolbox, right?[00:02:46] NotebookLM 2: Information, capabilities, all sorts of things. Okay. So take the travel agent demo, for example. With function calling, the AI can pull up details, let's say about Fort Mason, right, from some database. Like nearby restaurants, stuff like that.[00:02:59] NotebookLM: Ah, I get it. So instead of being limited to what it already knows, It can go and find the information it needs, like a human travel agent would.[00:03:07] NotebookLM 2: Precisely. And someone on Hacker News pointed out a cool detail. The API actually gives you a text version of what's being said. So you can store that, analyze it.[00:03:17] NotebookLM: That's smart. It seems like OpenAI put a lot of thought into making this API easy for developers to use. But, while we're on OpenAI, you know, Besides their tech, there's been some news about, like, internal changes, too.[00:03:30] NotebookLM: Didn't they say they're moving away from being a non profit?[00:03:32] NotebookLM 2: They did. And it's got everyone talking. It's a major shift. And it's only natural for people to wonder how that'll change things for OpenAI in the future. I mean, there are definitely some valid questions about this move to for profit. Like, will they have more money for research now?[00:03:46] NotebookLM 2: Probably. But will they, you know, care as much about making sure AI benefits everyone?[00:03:51] NotebookLM: Yeah, that's the big question, especially with all the, like, the leadership changes happening at OpenAI too, right? I read that their Chief Research Officer left, and their VP of Research, and even their CTO.[00:04:03] NotebookLM 2: It's true. A lot of people are connecting those departures with the changes in OpenAI's structure.[00:04:08] NotebookLM: And I guess it makes you wonder what's going on behind the scenes. But they are still putting out new stuff. Like this whole fine tuning thing really caught my eye.[00:04:17] NotebookLM 2: Right, fine tuning. It's essentially taking a pre trained AI model. And, like, customizing it.[00:04:23] NotebookLM: So instead of a general AI, you get one that's tailored for a specific job.[00:04:27] NotebookLM 2: Exactly. And that opens up so many possibilities, especially for businesses. Imagine you could train an AI on your company's data, you know, like how you communicate your brand guidelines.[00:04:37] NotebookLM: So it's like having an AI that's specifically trained for your company?[00:04:41] NotebookLM 2: That's the idea.[00:04:41] NotebookLM: And they're doing it with images now, too, right?[00:04:44] NotebookLM: Fine tuning with vision is what they called it.[00:04:46] NotebookLM 2: It's pretty incredible what they're doing with that, especially in fields like medicine.[00:04:50] NotebookLM: Like using AI to help doctors make diagnoses.[00:04:52] NotebookLM 2: Exactly. And AI could be trained on thousands of medical images, right? And then it could potentially spot things that even a trained doctor might miss.[00:05:03] NotebookLM: That's kind of scary, to be honest. What if it gets it wrong?[00:05:06] NotebookLM 2: Well, the idea isn't to replace doctors, but to give them another tool, you know, help them make better decisions.[00:05:12] NotebookLM: Okay, that makes sense. But training these AI models must be really expensive.[00:05:17] NotebookLM 2: It can be. All those tokens add up. But OpenAI announced something called automatic prompt caching.[00:05:23] Alex Volkov: Automatic what now? I don't think I came across that.[00:05:26] NotebookLM 2: So basically, if your AI sees a prompt that it's already seen before, OpenAI will give you a discount.[00:05:31] NotebookLM: Huh. Like a frequent buyer program for AI.[00:05:35] NotebookLM 2: Kind of, yeah. It's good that they're trying to make it more affordable. And they're also doing something called model distillation.[00:05:41] NotebookLM: Okay, now you're just using big words to sound smart. What's that?[00:05:45] NotebookLM 2: Think of it like like a recipe, right? You can take a really complex recipe and break it down to the essential parts.[00:05:50] NotebookLM: Make it simpler, but it still tastes the same.[00:05:53] NotebookLM 2: Yeah. And that's what model distillation is. You take a big, powerful AI model and create a smaller, more efficient version.[00:06:00] NotebookLM: So it's like lighter weight, but still just as capable.[00:06:03] NotebookLM 2: Exactly. And that means more people can actually use these powerful tools. They don't need, like, a supercomputer to run them.[00:06:10] NotebookLM: So they're making AI more accessible. That's great.[00:06:13] NotebookLM 2: It is. And speaking of powerful tools, they also talked about their new O1 model.[00:06:18] NotebookLM 2: That's the one they've been hyping up. The one that's supposed to be this big leap forward.[00:06:22] NotebookLM: Yeah, O1. It sounds pretty futuristic. Like, from what I read, it's not just a bigger, better language model.[00:06:28] NotebookLM 2: Right. It's a different porch.[00:06:29] NotebookLM: They're saying it can, like, actually reason, right? Think.[00:06:33] NotebookLM 2: It's trained differently.[00:06:34] NotebookLM 2: They used reinforcement learning with O1.[00:06:36] NotebookLM: So it's not just finding patterns in the data it's seen before.[00:06:40] NotebookLM 2: Not just that. It can actually learn from its mistakes. Get better at solving problems.[00:06:46] NotebookLM: So give me an example. What can O1 do that, say, GPT 4 can't?[00:06:51] NotebookLM 2: Well, OpenAI showed it doing some pretty impressive stuff with math, like advanced math.[00:06:56] NotebookLM 2: And coding, too. Complex coding. Things that even GPT 4 struggled with.[00:07:00] NotebookLM: So you're saying if I needed to, like, write a screenplay, I'd stick with GPT 4? But if I wanted to solve some crazy physics problem, O1 is what I'd use.[00:07:08] NotebookLM 2: Something like that, yeah. Although there is a trade off. O1 takes a lot more power to run, and it takes longer to get those impressive results.[00:07:17] NotebookLM: Hmm, makes sense. More power, more time, higher quality.[00:07:21] NotebookLM 2: Exactly.[00:07:22] NotebookLM: It sounds like it's still in development, though, right? Is there anything else they're planning to add to it?[00:07:26] NotebookLM 2: Oh, yeah. They mentioned system prompts, which will let developers, like, set some ground rules for how it behaves. And they're working on adding structured outputs and function calling.[00:07:38] Alex Volkov: Wait, structured outputs? Didn't we just talk about that? We[00:07:41] NotebookLM 2: did. That's the thing where the AI's output is formatted in a way that's easy to use.[00:07:47] NotebookLM: Right, right. So you don't have to spend all day trying to make sense of what it gives you. It's good that they're thinking about that stuff.[00:07:53] NotebookLM 2: It's about making these tools usable.[00:07:56] NotebookLM 2: And speaking of that, Dev Day finished up with this really interesting talk. Sam Altman, the CEO of OpenAI, And Kevin Weil, their new chief product officer. They talked about, like, the big picture for AI.[00:08:09] NotebookLM: Yeah, they did, didn't they? Anything interesting come up?[00:08:12] NotebookLM 2: Well, Altman talked about moving past this whole AGI term, Artificial General Intelligence.[00:08:18] NotebookLM: I can see why. It's kind of a loaded term, isn't it?[00:08:20] NotebookLM 2: He thinks it's become a bit of a buzzword, and people don't really understand what it means.[00:08:24] NotebookLM: So are they saying they're not trying to build AGI anymore?[00:08:28] NotebookLM 2: It's more like they're saying they're focused on just Making AI better, constantly improving it, not worrying about putting it in a box.[00:08:36] NotebookLM: That makes sense. Keep pushing the limits.[00:08:38] NotebookLM 2: Exactly. But they were also very clear about doing it responsibly. They talked a lot about safety and ethics.[00:08:43] NotebookLM: Yeah, that's important.[00:08:44] NotebookLM 2: They said they were going to be very careful. About how they release new features.[00:08:48] NotebookLM: Good! Because this stuff is powerful.[00:08:51] NotebookLM 2: It is. It was a lot to take in, this whole Dev Day event.[00:08:54] NotebookLM 2: New tools, big changes at OpenAI, and these big questions about the future of AI.[00:08:59] NotebookLM: It was. But hopefully this deep dive helped make sense of some of it. At least, that's what we try to do here.[00:09:05] AI Charlie: Absolutely.[00:09:06] NotebookLM: Thanks for taking the deep dive with us.[00:09:08] AI Charlie: The biggest demo of the new Realtime API involved function calling with voice mode and buying chocolate covered strawberries from our friendly local OpenAI developer experience engineer and strawberry shop owner, Ilan Biggio.[00:09:21] AI Charlie: We'll first play you the audio of his demo and then go into a little interview with him.[00:09:25] Ilan's Strawberry Demo with Realtime Voice Function Calling[00:09:25] Romain Huet: Could you place a call and see if you could get us 400 strawberries delivered to the venue? But please keep that under 1500. I'm on it. We'll get those strawberries delivered for you.[00:09:47] Ilan: Hello? Hi there. Is this Ilan? I'm Romain's AI assistant. How is it going? Fantastic. Can you tell me what flavors of strawberry dips you have for me? Yeah, we have chocolate, vanilla, and we have peanut butter. Wait, how much would 400 chocolate covered strawberries cost? 400? Are you sure you want 400? Yes, 400 chocolate covered[00:10:14] swyx: strawberries.[00:10:15] Ilan: Wait,[00:10:16] swyx: how much[00:10:16] Ilan: would that be? I think that'll be around, like, 1, 415. 92.[00:10:25] Alex Volkov: Awesome. Let's go ahead and place the order for four chocolate covered strawberries.[00:10:31] Ilan: Great, where would you like that delivered? Please deliver them to the Gateway Pavilion at Fort Mason. And I'll be paying in cash.[00:10:42] Alex Volkov: Okay,[00:10:43] Ilan: sweet. So just to confirm, you want four strawberries?[00:10:45] Ilan: 400 chocolate covered strawberries to the Gateway Pavilion. Yes, that's perfect. And when can we expect delivery? Well, you guys are right nearby, so it'll be like, I don't know, 37 seconds? That's incredibly fast. Cool, you too.[00:11:09] swyx: Hi, Ilan, welcome to Lanespace. Oh, thank you. I just saw your amazing demos, had your amazing strawberries. You are dressed up, like, exactly like a strawberry salesman. Gotta have it all. What was the building on demo like? What was the story behind the demo?[00:11:22] swyx: It was really interesting. This is actually something I had been thinking about for months before the launch.[00:11:27] swyx: Like, having a, like, AI that can make phone calls is something like I've personally wanted for a long time. And so as soon as we launched internally, like, I started hacking on it. And then that sort of just started. We made it into like an internal demo, and then people found it really interesting, and then we thought how cool would it be to have this like on stage as, as one of the demos.[00:11:47] swyx: Yeah, would would you call out any technical issues building, like you were basically one of the first people ever to build with a voice mode API. Would you call out any issues like integrating it with Twilio like that, like you did with function calling, with like a form filling elements. I noticed that you had like intents of things to fulfill, and then.[00:12:07] swyx: When there's still missing info, the voice would prompt you, roleplaying the store guy.[00:12:13] swyx: Yeah, yeah, so, I think technically, there's like the whole, just working with audio and streams is a whole different beast. Like, even separate from like AI and this, this like, new capabilities, it's just, it's just tough.[00:12:26] swyx: Yeah, when you have a prompt, conversationally it'll just follow, like the, it was, Instead of like, kind of step by step to like ask the right questions based on like the like what the request was, right? The function calling itself is sort of tangential to that. Like, you have to prompt it to call the functions, but then handling it isn't too much different from, like, what you would do with assistant streaming or, like, chat completion streaming.[00:12:47] swyx: I think, like, the API feels very similar just to, like, if everything in the API was streaming, it actually feels quite familiar to that.[00:12:53] swyx: And then, function calling wise, I mean, does it work the same? I don't know. Like, I saw a lot of logs. You guys showed, like, in the playground, a lot of logs. What is in there?[00:13:03] swyx: What should people know?[00:13:04] swyx: Yeah, I mean, it is, like, the events may have different names than the streaming events that we have in chat completions, but they represent very similar things. It's things like, you know, function call started, argument started, it's like, here's like argument deltas, and then like function call done.[00:13:20] swyx: Conveniently we send one that has the full function, and then I just use that. Nice.[00:13:25] swyx: Yeah and then, like, what restrictions do, should people be aware of? Like, you know, I think, I think, before we recorded, we discussed a little bit about the sensitivities around basically calling random store owners and putting, putting like an AI on them.[00:13:40] swyx: Yeah, so there's, I think there's recent regulation on that, which is why we want to be like very, I guess, aware of, of You know, you can't just call anybody with AI, right? That's like just robocalling. You wouldn't want someone just calling you with AI.[00:13:54] swyx: I'm a developer, I'm about to do this on random people.[00:13:57] swyx: What laws am I about to break?[00:14:00] swyx: I forget what the governing body is, but you should, I think, Having consent of the person you're about to call, it always works. I, as the strawberry owner, have consented to like getting called with AI. I think past that you, you want to be careful. Definitely individuals are more sensitive than businesses.[00:14:19] swyx: I think businesses you have a little bit more leeway. Also, they're like, businesses I think have an incentive to want to receive AI phone calls. Especially if like, they're dealing with it. It's doing business. Right, like, it's more business. It's kind of like getting on a booking platform, right, you're exposed to more.[00:14:33] swyx: But, I think it's still very much like a gray area. Again, so. I think everybody should, you know, tread carefully, like, figure out what it is. I, I, I, the law is so recent, I didn't have enough time to, like, I'm also not a lawyer. Yeah, yeah, yeah, of course. Yeah.[00:14:49] swyx: Okay, cool fair enough. One other thing, this is kind of agentic.[00:14:52] swyx: Did you use a state machine at all? Did you use any framework? No. You just stick it in context and then just run it in a loop until it ends call?[00:15:01] swyx: Yeah, there isn't even a loop, like Okay. Because the API is just based on sessions. It's always just going to keep going. Every time you speak, it'll trigger a call.[00:15:11] swyx: And then after every function call was also invoked invoking like a generation. And so that is another difference here. It's like it's inherently almost like in a loop, be just by being in a session, right? No state machines needed. I'd say this is very similar to like, the notion of routines, where it's just like a list of steps.[00:15:29] swyx: And it, like, sticks to them softly, but usually pretty well. And the steps is the prompts? The steps, it's like the prompt, like the steps are in the prompt. Yeah, yeah, yeah. Right, it's like step one, do this, step one, step two, do that. What if I want to change the system prompt halfway through the conversation?[00:15:44] swyx: You can. Okay. You can. To be honest, I have not played without two too much. Yeah,[00:15:47] swyx: yeah.[00:15:48] swyx: But, I know you can.[00:15:49] swyx: Yeah, yeah. Yeah. Awesome. I noticed that you called it real time API, but not voice API. Mm hmm. So I assume that it's like real time API starting with voice. Right, I think that's what he said on the thing.[00:16:00] swyx: I can't imagine, like, what else is real[00:16:02] swyx: time? Well, I guess, to use ChatGPT's voice mode as an example, Like, we've demoed the video, right? Like, real time image, right? So, I'm not actually sure what timelines are, But I would expect, if I had to guess, That, like, that is probably the next thing that we're gonna be making.[00:16:17] swyx: You'd probably have to talk directly with the team building this. Sure. But, You can't promise their timelines. Yeah, yeah, yeah, right, exactly. But, like, given that this is the features that currently, Or that exists that we've demoed on Chachapiti. Yeah. There[00:16:29] swyx: will never be a[00:16:29] swyx: case where there's like a real time text API, right?[00:16:31] swyx: I don't Well, this is a real time text API. You can do text only on this. Oh. Yeah. I don't know why you would. But it's actually So text to text here doesn't quite make a lot of sense. I don't think you'll get a lot of latency gain. But, like, speech to text is really interesting. Because you can prevent You can prevent responses, like audio responses.[00:16:54] swyx: And force function calls. And so you can do stuff like UI control. That is like super super reliable. We had a lot of like, you know, un, like, we weren't sure how well this was gonna work because it's like, you have a voice answering. It's like a whole persona, right? Like, that's a little bit more, you know, risky.[00:17:10] swyx: But if you, like, cut out the audio outputs and make it so it always has to output a function, like you can end up with pretty pretty good, like, Pretty reliable, like, command like a command architecture. Yeah,[00:17:21] swyx: actually, that's the way I want to interact with a lot of these things as well. Like, one sided voice.[00:17:26] swyx: Yeah, you don't necessarily want to hear the[00:17:27] swyx: voice back. And like, sometimes it's like, yeah, I think having an output voice is great. But I feel like I don't always want to hear an output voice. I'd say usually I don't. But yeah, exactly, being able to speak to it is super sweet.[00:17:39] swyx: Cool. Do you want to comment on any of the other stuff that you announced?[00:17:41] swyx: From caching I noticed was like, I like the no code change part. I'm looking forward to the docs because I'm sure there's a lot of details on like, what you cache, how long you cache. Cause like, enthalpy caches were like 5 minutes. I was like, okay, but what if I don't make a call every 5 minutes?[00:17:56] swyx: Yeah,[00:17:56] swyx: to be super honest with you, I've been so caught up with the real time API and making the demo that I haven't read up on the other stuff. Launches too much. I mean, I'm aware of them, but I think I'm excited to see how all distillation works. That's something that we've been doing like, I don't know, I've been like doing it between our models for a while And I've seen really good results like I've done back in a day like from GPT 4 to GPT 3.[00:18:19] swyx: 5 And got like, like pretty much the same level of like function calling with like hundreds of functions So that was super super compelling So, I feel like easier distillation, I'm really excited for. I see. Is it a tool?[00:18:31] swyx: So, I saw evals. Yeah. Like, what is the distillation product? It wasn't super clear, to be honest.[00:18:36] swyx: I, I think I want to, I want to let that team, I want to let that team talk about it. Okay,[00:18:40] swyx: alright. Well, I appreciate you jumping on. Yeah, of course. Amazing demo. It was beautifully designed. I'm sure that was part of you and Roman, and[00:18:47] swyx: Yeah, I guess, shout out to like, the first people to like, creators of Wanderlust, originally, were like, Simon and Carolis, and then like, I took it and built the voice component and the voice calling components.[00:18:59] swyx: Yeah, so it's been a big team effort. And like the entire PI team for like Debugging everything as it's been going on. It's been, it's been so good working with them. Yeah, you're the first consumers on the DX[00:19:07] swyx: team. Yeah. Yeah, I mean, the classic role of what we do there. Yeah. Okay, yeah, anything else? Any other call to action?[00:19:13] swyx: No, enjoy Dev Day. Thank you. Yeah. That's it.[00:19:16] Olivier Godement, Head of Product, OpenAI[00:19:16] AI Charlie: The latent space crew then talked to Olivier Godmont, head of product for the OpenAI platform, who led the entire Dev Day keynote and introduced all the major new features and updates that we talked about today.[00:19:28] swyx: Okay, so we are here with Olivier Godmont. That's right.[00:19:32] swyx: I don't pronounce French. That's fine. It was perfect. And it was amazing to see your keynote today. What was the back story of, of preparing something like this? Preparing, like, Dev Day? It[00:19:43] Olivier Godement: essentially came from a couple of places. Number one, excellent reception from last year's Dev Day.[00:19:48] Olivier Godement: Developers, startup founders, researchers want to spend more time with OpenAI, and we want to spend more time with them as well. And so for us, like, it was a no brainer, frankly, to do it again, like, you know, like a nice conference. The second thing is going global. We've done a few events like in Paris and like a few other like, you know, non European, non American countries.[00:20:05] Olivier Godement: And so this year we're doing SF, Singapore, and London. To frankly just meet more developers.[00:20:10] swyx: Yeah, I'm very excited for the Singapore one.[00:20:12] Olivier Godement: Ah,[00:20:12] swyx: yeah. Will you be[00:20:13] Olivier Godement: there?[00:20:14] swyx: I don't know. I don't know if I got an invite. No. I can't just talk to you. Yeah, like, and then there was some speculation around October 1st.[00:20:22] Olivier Godement: Yeah. Is it because[00:20:23] swyx: 01, October 1st? It[00:20:25] Olivier Godement: has nothing to do. I discovered the tweet yesterday where like, people are so creative. No one, there was no connection to October 1st. But in hindsight, that would have been a pretty good meme by Tiana. Okay.[00:20:37] swyx: Yeah, and you know, I think like, OpenAI's outreach to developers is something that I felt the whole in 2022, when like, you know, like, people were trying to build a chat GPT, and like, there was no function calling, all that stuff that you talked about in the past.[00:20:51] swyx: And that's why I started my own conference as like like, here's our little developer conference thing. And, but to see this OpenAI Dev Day now, and like to see so many developer oriented products coming to OpenAI, I think it's really encouraging.[00:21:02] Olivier Godement: Yeah, totally. It's that's what I said, essentially, like, developers are basically the people who make the best connection between the technology and, you know, the future, essentially.[00:21:14] Olivier Godement: Like, you know, essentially see a capability, see a low level, like, technology, and are like, hey, I see how that application or that use case that can be enabled. And so, in the direction of enabling, like, AGI, like, all of humanity, it's a no brainer for us, like, frankly, to partner with Devs.[00:21:31] Alessio: And most importantly, you almost never had waitlists, which, compared to like other releases, people usually, usually have.[00:21:38] Alessio: What is the, you know, you had from caching, you had real time voice API, we, you know, Shawn did a long Twitter thread, so people know the releases. Yeah. What is the thing that was like sneakily the hardest to actually get ready for, for that day, or like, what was the kind of like, you know, last 24 hours, anything that you didn't know was gonna work?[00:21:56] Olivier Godement: Yeah. The old Fairly, like, I would say, involved, like, features to ship. So the team has been working for a month, all of them. The one which I would say is the newest for OpenAI is the real time API. For a couple of reasons. I mean, one, you know, it's a new modality. Second, like, it's the first time that we have an actual, like, WebSocket based API.[00:22:16] Olivier Godement: And so, I would say that's the one that required, like, the most work over the month. To get right from a developer perspective and to also make sure that our existing safety mitigation that worked well with like real time audio in and audio out.[00:22:30] swyx: Yeah, what design choices or what was like the sort of design choices that you want to highlight?[00:22:35] swyx: Like, you know, like I think for me, like, WebSockets, you just receive a bunch of events. It's two way. I obviously don't have a ton of experience. I think a lot of developers are going to have to embrace this real time programming. Like, what are you designing for, or like, what advice would you have for developers exploring this?[00:22:51] Olivier Godement: The core design hypothesis was essentially, how do we enable, like, human level latency? We did a bunch of tests, like, on average, like, human beings, like, you know, takes, like, something like 300 milliseconds to converse with each other. And so that was the design principle, essentially. Like, working backward from that, and, you know, making the technology work.[00:23:11] Olivier Godement: And so we evaluated a few options, and WebSockets was the one that we landed on. So that was, like, one design choice. A few other, like, big design choices that we had to make prompt caching. Prompt caching, the design, like, target was automated from the get go. Like, zero code change from the developer.[00:23:27] Olivier Godement: That way you don't have to learn, like, what is a prompt prefix, and, you know, how long does a cache work, like, we just do it as much as we can, essentially. So that was a big design choice as well. And then finally, on distillation, like, and evaluation. The big design choice was something I learned at Skype, like in my previous job, like a philosophy around, like, a pit of success.[00:23:47] Olivier Godement: Like, what is essentially the, the, the minimum number of steps for the majority of developers to do the right thing? Because when you do evals on fat tuning, there are many, many ways, like, to mess it up, frankly, like, you know, and have, like, a crappy model, like, evals that tell, like, a wrong story. And so our whole design was, okay, we actually care about, like, helping people who don't have, like, that much experience, like, evaluating a model, like, get, like, in a few minutes, like, to a good spot.[00:24:11] Olivier Godement: And so how do we essentially enable that bit of success, like, in the product flow?[00:24:15] swyx: Yeah, yeah, I'm a little bit scared to fine tune especially for vision, because I don't know what I don't know for stuff like vision, right? Like, for text, I can evaluate pretty easily. For vision let's say I'm like trying to, one of your examples was grab.[00:24:33] swyx: Which, very close to home, I'm from Singapore. I think your example was like, they identified stop signs better. Why is that hard? Why do I have to fine tune that? If I fine tune that, do I lose other things? You know, like, there's a lot of unknowns with Vision that I think developers have to figure out.[00:24:50] swyx: For[00:24:50] Olivier Godement: sure. Vision is going to open up, like, a new, I would say, evaluation space. Because you're right, like, it's harder, like, you know, to tell correct from incorrect, essentially, with images. What I can say is we've been alpha testing, like, the Vision fine tuning, like, for several weeks at that point. We are seeing, like, even higher performance uplift compared to text fine tuning.[00:25:10] Olivier Godement: So that's, there is something here, like, we've been pretty impressed, like, in a good way, frankly. But, you know, how well it works. But for sure, like, you know, I expect the developers who are moving from one modality to, like, text and images will have, like, more, you know Testing, evaluation, like, you know, to set in place, like, to make sure it works well.[00:25:25] Alessio: The model distillation and evals is definitely, like, the most interesting. Moving away from just being a model provider to being a platform provider. How should people think about being the source of truth? Like, do you want OpenAI to be, like, the system of record of all the prompting? Because people sometimes store it in, like, different data sources.[00:25:41] Alessio: And then, is that going to be the same as the models evolve? So you don't have to worry about, you know, refactoring the data, like, things like that, or like future model structures.[00:25:51] Olivier Godement: The vision is if you want to be a source of truth, you have to earn it, right? Like, we're not going to force people, like, to pass us data.[00:25:57] Olivier Godement: There is no value prop, like, you know, for us to store the data. The vision here is at the moment, like, most developers, like, use like a one size fits all model, like be off the shelf, like GP40 essentially. The vision we have is fast forward a couple of years. I think, like, most developers will essentially, like, have a.[00:26:15] Olivier Godement: An automated, continuous, fine tuned model. The more, like, you use the model, the more data you pass to the model provider, like, the model is automatically, like, fine tuned, evaluated against some eval sets, and essentially, like, you don't have to every month, when there is a new snapshot, like, you know, to go online and, you know, try a few new things.[00:26:34] Olivier Godement: That's a direction. We are pretty far away from it. But I think, like, that evaluation and decision product are essentially a first good step in that direction. It's like, hey, it's you. I set it by that direction, and you give us the evaluation data. We can actually log your completion data and start to do some automation on your behalf.[00:26:52] Alessio: And then you can do evals for free if you share data with OpenAI. How should people think about when it's worth it, when it's not? Sometimes people get overly protective of their data when it's actually not that useful. But how should developers think about when it's right to do it, when not, or[00:27:07] Olivier Godement: if you have any thoughts on it?[00:27:08] Olivier Godement: The default policy is still the same, like, you know, we don't train on, like, any API data unless you opt in. What we've seen from feedback is evaluation can be expensive. Like, if you run, like, O1 evals on, like, thousands of samples Like, your build will get increased, like, you know, pretty pretty significantly.[00:27:22] Olivier Godement: That's problem statement number one. Problem statement number two is, essentially, I want to get to a world where whenever OpenAI ships a new model snapshot, we have full confidence that there is no regression for the task that developers care about. And for that to be the case, essentially, we need to get evals.[00:27:39] Olivier Godement: And so that, essentially, is a sort of a two bugs one stone. It's like, we subsidize, basically, the evals. And we also use the evals when we ship new models to make sure that we keep going in the right direction. So, in my sense, it's a win win, but again, completely opt in. I expect that many developers will not want to share their data, and that's perfectly fine to me.[00:27:56] swyx: Yeah, I think free evals though, very, very good incentive. I mean, it's a fair trade. You get data, we get free evals. Exactly,[00:28:04] Olivier Godement: and we sanitize PII, everything. We have no interest in the actual sensitive data. We just want to have good evaluation on the real use cases.[00:28:13] swyx: Like, I always want to eval the eval. I don't know if that ever came up.[00:28:17] swyx: Like, sometimes the evals themselves are wrong, and there's no way for me to tell you.[00:28:22] Olivier Godement: Everyone who is starting with LLM, teaching with LLM, is like, Yeah, evaluation, easy, you know, I've done testing, like, all my life. And then you start to actually be able to eval, understand, like, all the corner cases, And you realize, wow, there's like a whole field in itself.[00:28:35] Olivier Godement: So, yeah, good evaluation is hard and so, yeah. Yeah, yeah.[00:28:38] swyx: But I think there's a, you know, I just talked to Brain Trust which I think is one of your partners. Mm-Hmm. . They also emphasize code based evals versus your sort of low code. What I see is like, I don't know, maybe there's some more that you didn't demo.[00:28:53] swyx: YC is kind of like a low code experience, right, for evals. Would you ever support like a more code based, like, would I run code on OpenAI's eval platform?[00:29:02] Olivier Godement: For sure. I mean, we meet developers where they are, you know. At the moment, the demand was more for like, you know, easy to get started, like eval. But, you know, if we need to expose like an evaluation API, for instance, for people like, you know, to pass, like, you know, their existing test data we'll do it.[00:29:15] Olivier Godement: So yeah, there is no, you know, philosophical, I would say, like, you know, misalignment on that. Yeah,[00:29:19] swyx: yeah, yeah. What I think this is becoming, by the way, and I don't, like it's basically, like, you're becoming AWS. Like, the AI cloud. And I don't know if, like, that's a conscious strategy, or it's, like, It doesn't even have to be a conscious strategy.[00:29:33] swyx: Like, you're going to offer storage. You're going to offer compute. You're going to offer networking. I don't know what networking looks like. Networking is maybe, like, Caching or like it's a CDN. It's a prompt CDN.[00:29:45] Alex Volkov: Yeah,[00:29:45] swyx: but it's the AI versions of everything, right? Do you like do you see the analogies or?[00:29:52] Olivier Godement: Whatever Whatever I took to developers. I feel like Good models are just half of the story to build a good app There's a third model you need to do Evaluation is the perfect example. Like, you know, you can have the best model in the world If you're in the dark, like, you know, it's really hard to gain the confidence and so Our philosophy is[00:30:11] Olivier Godement: The whole like software development stack is being basically reinvented, you know, with LLMs. There is no freaking way that open AI can build everything. Like there is just too much to build, frankly. And so my philosophy is, essentially, we'll focus on like the tools which are like the closest to the model itself.[00:30:28] Olivier Godement: So that's why you see us like, you know, investing quite a bit in like fine tuning, distillation, our evaluation, because we think that it actually makes sense to have like in one spot, Like, you know, all of that. Like, there is some sort of virtual circle, essentially, that you can set in place. But stuff like, you know, LLMOps, like tools which are, like, further away from the model, I don't know if you want to do, like, you know, super elaborate, like, prompt management, or, you know, like, tooling, like, I'm not sure, like, you know, OpenAI has, like, such a big edge, frankly, like, you know, to build this sort of tools.[00:30:56] Olivier Godement: So that's how we view it at the moment. But again, frankly, the philosophy is super simple. The strategy is super simple. It's meeting developers where they want us to be. And so, you know that's frankly, like, you know, day in, day out, like, you know, what I try to do.[00:31:08] Alessio: Cool. Thank you so much for the time.[00:31:10] Alessio: I'm sure you,[00:31:10] swyx: Yeah, I have more questions on, a couple questions on voice, and then also, like, your call to action, like, what you want feedback on, right? So, I think we should spend a bit more time on voice, because I feel like that's, like, the big splash thing. I talked well Well, I mean, I mean, just what is the future of real time for OpenAI?[00:31:28] swyx: Yeah. Because I think obviously video is next. You already have it in the, the ChatGPT desktop app. Do we just have a permanent, like, you know, like, are developers just going to be, like, sending sockets back and forth with OpenAI? Like how do we program for that? Like, what what is the future?[00:31:44] Olivier Godement: Yeah, that makes sense. I think with multimodality, like, real time is quickly becoming, like, you know, essentially the right experience, like, to build an application. Yeah. So my expectation is that we'll see like a non trivial, like a volume of applications like moving to a real time API. Like if you zoom out, like, audio is really simple, like, audio until basically now.[00:32:05] Olivier Godement: Audio on the web, in apps, was basically very much like a second class citizen. Like, you basically did like an audio chatbot for users who did not have a choice. You know, they were like struggling to read, or I don't know, they were like not super educated with technology. And so, frankly, it was like the crappy option, you know, compared to text.[00:32:25] Olivier Godement: But when you talk to people in the real world, the vast majority of people, like, prefer to talk and listen instead of typing and writing.[00:32:34] swyx: We speak before we write.[00:32:35] Olivier Godement: Exactly. I don't know. I mean, I'm sure it's the case for you in Singapore. For me, my friends in Europe, the number of, like, WhatsApp, like, voice notes they receive every day, I mean, just people, it makes sense, frankly, like, you know.[00:32:45] Olivier Godement: Chinese. Chinese, yeah.[00:32:46] swyx: Yeah,[00:32:47] Olivier Godement: all voice. You know, it's easier. There is more emotions. I mean, you know, you get the point across, like, pretty well. And so my personal ambition for, like, the real time API and, like, audio in general is to make, like, audio and, like, multimodality, like, truly a first class experience.[00:33:01] Olivier Godement: Like, you know, if you're, like, you know, the amazing, like, super bold, like, start up out of YC, you want to build, like, the next, like, billion, like, you know, user application to make it, like, truly your first and make it feel, like, you know, an actual good, like, you know, product experience. So that's essentially the ambition, and I think, like, yeah, it could be pretty big.[00:33:17] swyx: Yeah. I think one, one people, one issue that people have with the voice so far as, as released in advanced voice mode is the refusals.[00:33:24] Alex Volkov: Yeah.[00:33:24] swyx: You guys had a very inspiring model spec. I think Joanne worked on that. Where you said, like, yeah, we don't want to overly refuse all the time. In fact, like, even if, like, not safe for work, like, in some occasions, it's okay.[00:33:38] swyx: How, is there an API that we can say, not safe for work, okay?[00:33:41] Olivier Godement: I think we'll get there. I think we'll get there. The mobile spec, like, nailed it, like, you know. It nailed it! It's so good! Yeah, we are not in the business of, like, policing, you know, if you can say, like, vulgar words or whatever. You know, there are some use cases, like, you know, I'm writing, like, a Hollywood, like, script I want to say, like, will go on, and it's perfectly fine, you know?[00:33:59] Olivier Godement: And so I think the direction where we'll go here is that basically There will always be like, you know, a set of behavior that we will, you know, just like forbid, frankly, because they're illegal against our terms of services. But then there will be like, you know, some more like risky, like themes, which are completely legal, like, you know, vulgar words or, you know, not safe for work stuff.[00:34:17] Olivier Godement: Where basically we'll expose like a controllable, like safety, like knobs in the API to basically allow you to say, hey, that theme okay, that theme not okay. How sensitive do you want the threshold to be on safety refusals? I think that's the Dijkstra. So a[00:34:31] swyx: safety API.[00:34:32] Olivier Godement: Yeah, in a way, yeah.[00:34:33] swyx: Yeah, we've never had that.[00:34:34] Olivier Godement: Yeah. '[00:34:35] swyx: cause right now is you, it is whatever you decide. And then it's, that's it. That, that, that would be the main reason I don't use opening a voice is because of[00:34:42] Olivier Godement: it's over police. Over refuse over refusals. Yeah. Yeah, yeah. No, we gotta fix that. Yeah. Like singing,[00:34:47] Alessio: we're trying to do voice. I'm a singer.[00:34:49] swyx: And you, you locked off singing.[00:34:51] swyx: Yeah,[00:34:51] Alessio: yeah, yeah.[00:34:52] swyx: But I, I understand music gets you in trouble. Okay. Yeah. So then, and then just generally, like, what do you want to hear from developers? Right? We have, we have all developers watching you know, what feedback do you want? Any, anything specific as well, like from, especially from today anything that you are unsure about, that you are like, Our feedback could really help you decide.[00:35:09] swyx: For sure.[00:35:10] Olivier Godement: I think, essentially, it's becoming pretty clear after today that, you know, I would say the open end direction has become pretty clear, like, you know, after today. Investment in reasoning, investment in multimodality, Investment as well, like in, I would say, tool use, like function calling. To me, the biggest question I have is, you know, Where should we put the cursor next?[00:35:30] Olivier Godement: I think we need all three of them, frankly, like, you know, so we'll keep pushing.[00:35:33] swyx: Hire 10, 000 people, or actually, no need, build a bunch of bots.[00:35:37] Olivier Godement: Exactly, and so let's take O1 smart enough, like, for your problems? Like, you know, let's set aside for a second the existing models, like, for the apps that you would love to build, is O1 basically it in reasoning, or do we still have, like, you know, a step to do?[00:35:50] Olivier Godement: Preview is not enough, I[00:35:52] swyx: need the full one.[00:35:53] Olivier Godement: Yeah, so that's exactly that sort of feedback. Essentially what they would love to do is for developers I mean, there's a thing that Sam has been saying like over and over again, like, you know, it's easier said than done, but I think it's directionally correct. As a developer, as a founder, you basically want to build an app which is a bit too difficult for the model today, right?[00:36:12] Olivier Godement: Like, what you think is right, it's like, sort of working, sometimes not working. And that way, you know, that basically gives us like a goalpost, and be like, okay, that's what you need to enable with the next model release, like in a few months. And so I would say that Usually, like, that's the sort of feedback which is like the most useful that I can, like, directly, like, you know, incorporate.[00:36:33] swyx: Awesome. I think that's our time. Thank you so much, guys. Yeah, thank you so much.[00:36:38] AI Charlie: Thank you. We were particularly impressed that Olivier addressed the not safe for work moderation policy question head on, as that had only previously been picked up on in Reddit forums. This is an encouraging sign that we will return to in the closing candor with Sam Altman at the end of this episode.[00:36:57] Romain Huet, Head of DX, OpenAI[00:36:57] AI Charlie: Next, a chat with Roman Hewitt, friend of the pod, AI Engineer World's fair closing keynote speaker, and head of developer experience at OpenAI on his incredible live demos And advice to AI engineers on all the new modalities.[00:37:12] Alessio: Alright, we're live from OpenAI Dev Day. We're with Juan, who just did two great demos on, on stage.[00:37:17] Alessio: And he's been a friend of Latentspace, so thanks for taking some of the time.[00:37:20] Romain Huet: Of course, yeah, thank you for being here and spending the time with us today.[00:37:23] swyx: Yeah, I appreciate appreciate you guys putting this on. I, I know it's like extra work, but it really shows the developers that you're, Care and about reaching out.[00:37:31] Romain Huet: Yeah, of course, I think when you go back to the OpenAI mission, I think for us it's super important that we have the developers involved in everything we do. Making sure that you know, they have all of the tools they need to build successful apps. And we really believe that the developers are always going to invent the ideas, the prototypes, the fun factors of AI that we can't build ourselves.[00:37:49] Romain Huet: So it's really cool to have everyone here.[00:37:51] swyx: We had Michelle from you guys on. Yes, great episode. She very seriously said API is the path to AGI. Correct. And people in our YouTube comments were like, API is not AGI. I'm like, no, she's very serious. API is the path to AGI. Like, you're not going to build everything like the developers are, right?[00:38:08] swyx: Of[00:38:08] Romain Huet: course, yeah, that's the whole value of having a platform and an ecosystem of amazing builders who can, like, in turn, create all of these apps. I'm sure we talked about this before, but there's now more than 3 million developers building on OpenAI, so it's pretty exciting to see all of that energy into creating new things.[00:38:26] Alessio: I was going to say, you built two apps on stage today, an international space station tracker and then a drone. The hardest thing must have been opening Xcode and setting that up. Now, like, the models are so good that they can do everything else. Yes. You had two modes of interaction. You had kind of like a GPT app to get the plan with one, and then you had a cursor to do apply some of the changes.[00:38:47] Alessio: Correct. How should people think about the best way to consume the coding models, especially both for You know, brand new projects and then existing projects that you're trying to modify.[00:38:56] Romain Huet: Yeah. I mean, one of the things that's really cool about O1 Preview and O1 Mini being available in the API is that you can use it in your favorite tools like cursor like I did, right?[00:39:06] Romain Huet: And that's also what like Devin from Cognition can use in their own software engineering agents. In the case of Xcode, like, it's not quite deeply integrated in Xcode, so that's why I had like chat GPT side by side. But it's cool, right, because I could instruct O1 Preview to be, like, my coding partner and brainstorming partner for this app, but also consolidate all of the, the files and architect the app the way I wanted.[00:39:28] Romain Huet: So, all I had to do was just, like, port the code over to Xcode and zero shot the app build. I don't think I conveyed, by the way, how big a deal that is, but, like, you can now create an iPhone app from scratch, describing a lot of intricate details that you want, and your vision comes to life in, like, a minute.[00:39:47] Romain Huet: It's pretty outstanding.[00:39:48] swyx: I have to admit, I was a bit skeptical because if I open up SQL, I don't know anything about iOS programming. You know which file to paste it in. You probably set it up a little bit. So I'm like, I have to go home and test it. And I need the ChatGPT desktop app so that it can tell me where to click.[00:40:04] Romain Huet: Yeah, I mean like, Xcode and iOS development has become easier over the years since they introduced Swift and SwiftUI. I think back in the days of Objective C, or like, you know, the storyboard, it was a bit harder to get in for someone new. But now with Swift and SwiftUI, their dev tools are really exceptional.[00:40:23] Romain Huet: But now when you combine that with O1, as your brainstorming and coding partner, it's like your architect, effectively. That's the best way, I think, to describe O1. People ask me, like, can GPT 4 do some of that? And it certainly can. But I think it will just start spitting out code, right? And I think what's great about O1, is that it can, like, make up a plan.[00:40:42] Romain Huet: In this case, for instance, the iOS app had to fetch data from an API, it had to look at the docs, it had to look at, like, how do I parse this JSON, where do I store this thing, and kind of wire things up together. So that's where it really shines. Is mini or preview the better model that people should be using?[00:40:58] Romain Huet: Like, how? I think people should try both. We're obviously very excited about the upcoming O1 that we shared the evals for. But we noticed that O1 Mini is very, very good at everything math, coding, everything STEM. If you need for your kind of brainstorming or your kind of science part, you need some broader knowledge than reaching for O1 previews better.[00:41:20] Romain Huet: But yeah, I used O1 Mini for my second demo. And it worked perfectly. All I needed was very much like something rooted in code, architecting and wiring up like a front end, a backend, some UDP packets, some web sockets, something very specific. And it did that perfectly.[00:41:35] swyx: And then maybe just talking about voice and Wanderlust, the app that keeps on giving, what's the backstory behind like preparing for all of that?[00:41:44] Romain Huet: You know, it's funny because when last year for Dev Day, we were trying to think about what could be a great demo app to show like an assistive experience. I've always thought travel is a kind of a great use case because you have, like, pictures, you have locations, you have the need for translations, potentially.[00:42:01] Romain Huet: There's like so many use cases that are bounded to travel that I thought last year, let's use a travel app. And that's how Wanderlust came to be. But of course, a year ago, all we had was a text based assistant. And now we thought, well, if there's a voice modality, what if we just bring this app back as a wink.[00:42:19] Romain Huet: And what if we were interacting better with voice? And so with this new demo, what I showed was the ability to like, So, we wanted to have a complete conversation in real time with the app, but also the thing we wanted to highlight was the ability to call tools and functions, right? So, like in this case, we placed a phone call using the Twilio API, interfacing with our AI agents, but developers are so smart that they'll come up with so many great ideas that we could not think of ourselves, right?[00:42:48] Romain Huet: But what if you could have like a, you know, a 911 dispatcher? What if you could have like a customer service? Like center, that is much smarter than what we've been used to today. There's gonna be so many use cases for real time, it's awesome.[00:43:00] swyx: Yeah, and sometimes actually you, you, like this should kill phone trees.[00:43:04] swyx: Like there should not be like dial one[00:43:07] Romain Huet: of course para[00:43:08] swyx: espanol, you know? Yeah, exactly. Or whatever. I dunno.[00:43:12] Romain Huet: I mean, even you starting speaking Spanish would just do the thing, you know you don't even have to ask. So yeah, I'm excited for this future where we don't have to interact with those legacy systems.[00:43:22] swyx: Yeah. Yeah. Is there anything, so you are doing function calling in a streaming environment. So basically it's, it's web sockets. It's UDP, I think. It's basically not guaranteed to be exactly once delivery. Like, is there any coding challenges that you encountered when building this?[00:43:39] Romain Huet: Yeah, it's a bit more delicate to get into it.[00:43:41] Romain Huet: We also think that for now, what we, what we shipped is a, is a beta of this API. I think there's much more to build onto it. It does have the function calling and the tools. But we think that for instance, if you want to have something very robust, On your client side, maybe you want to have web RTC as a client, right?[00:43:58] Romain Huet: And, and as opposed to like directly working with the sockets at scale. So that's why we have partners like Life Kit and Agora if you want to, if you want to use them. And I'm sure we'll have many mores in the, in many more in the future. But yeah, we keep on iterating on that, and I'm sure the feedback of developers in the weeks to come is going to be super critical for us to get it right.[00:44:16] swyx: Yeah, I think LiveKit has been fairly public that they are used in, in the Chachapiti app. Like, is it, it's just all open source, and we just use it directly with OpenAI, or do we use LiveKit Cloud or something?[00:44:28] Romain Huet: So right now we, we released the API, we released some sample code also, and referenced clients for people to get started with our API.[00:44:35] Romain Huet: And we also partnered with LifeKit and Agora, so they also have their own, like ways to help you get started that plugs natively with the real time API. So depending on the use case, people can, can can decide what to use. If you're working on something that's completely client or if you're working on something on the server side, for the voice interaction, you may have different needs, so we want to support all of those.[00:44:55] Alessio: I know you gotta run. Is there anything that you want the AI engineering community to give feedback on specifically, like even down to like, you know, a specific API end point or like, what, what's like the thing that you want? Yeah. I[00:45:08] Romain Huet: mean, you know, if we take a step back, I think dev Day this year is all different from last year and, and in, in a few different ways.[00:45:15] Romain Huet: But one way is that we wanted to keep it intimate, even more intimate than last year. We wanted to make sure that the community is. Thank you very much for joining us on the Spotlight. That's why we have community talks and everything. And the takeaway here is like learning from the very best developers and AI engineers.[00:45:31] Romain Huet: And so, you know we want to learn from them. Most of what we shipped this morning, including things like prompt caching the ability to generate prompts quickly in the playground, or even things like vision fine tuning. These are all things that developers have been asking of us. And so, the takeaway I would, I would leave them with is to say like, Hey, the roadmap that we're working on is heavily influenced by them and their work.[00:45:53] Romain Huet: And so we love feedback From high feature requests, as you say, down to, like, very intricate details of an API endpoint, we love feedback, so yes that's, that's how we, that's how we build this API.[00:46:05] swyx: Yeah, I think the, the model distillation thing as well, it might be, like, the, the most boring, but, like, actually used a lot.[00:46:12] Romain Huet: True, yeah. And I think maybe the most unexpected, right, because I think if I, if I read Twitter correctly the past few days, a lot of people were expecting us. To shape the real time API for speech to speech. I don't think developers were expecting us to have more tools for distillation, and we really think that's gonna be a big deal, right?[00:46:30] Romain Huet: If you're building apps that have you know, you, you want high, like like low latency, low cost, but high performance, high quality on the use case distillation is gonna be amazing.[00:46:40] swyx: Yeah. I sat in the distillation session just now and they showed how they distilled from four oh to four mini and it was like only like a 2% hit in the performance and 50 next.[00:46:49] swyx: Yeah,[00:46:50] Romain Huet: I was there as well for the superhuman kind of use case inspired for an Ebola client. Yeah, this was really good. Cool man! so much for having me. Thanks again for being here today. It's always[00:47:00] AI Charlie: great to have you. As you might have picked up at the end of that chat, there were many sessions throughout the day focused on specific new capabilities.[00:47:08] Michelle Pokrass, Head of API at OpenAI ft. Simon Willison[00:47:08] AI Charlie: Like the new model distillation features combining EVOLs and fine tuning. For our next session, we are delighted to bring back two former guests of the pod, which is something listeners have been greatly enjoying in our second year of doing the Latent Space podcast. Michelle Pokras of the API team joined us recently to talk about structured outputs, and today gave an updated long form session at Dev Day, describing the implementation details of the new structured output mode.[00:47:39] AI Charlie: We also got her updated thoughts on the VoiceMode API we discussed in her episode, now that it is finally announced. She is joined by friend of the pod and super blogger, Simon Willison, who also came back as guest co host in our Dev Day. 2023 episode.[00:47:56] Alessio: Great, we're back live at Dev Day returning guest Michelle and then returning guest co host Fork.[00:48:03] Alessio: Fork, yeah, I don't know. I've lost count. I think it's been a few. Simon Willison is back. Yeah, we just wrapped, we just wrapped everything up. Congrats on, on getting everything everything live. Simon did a great, like, blog, so if you haven't caught up, I[00:48:17] Simon Willison: wrote my, I implemented it. Now, I'm starting my live blog while waiting for the first talk to start, using like GPT 4, I wrote me the Javascript, and I got that live just in time and then, yeah, I was live blogging the whole day.[00:48:28] swyx: Are you a cursor enjoyer?[00:48:29] Simon Willison: I haven't really gotten into cursor yet to be honest. I just haven't spent enough time for it to click, I think. I'm more a copy and paste things out of Cloud and chat GPT. Yeah. It's interesting.[00:48:39] swyx: Yeah. I've converted to cursor and 01 is so easy to just toggle on and off.[00:48:45] Alessio: What's your workflow?[00:48:46] Alessio: VS[00:48:48] Michelle Pokrass: Code co pilot, so Yep, same here. Team co pilot. Co pilot is actually the reason I joined OpenAI. It was, you know, before ChatGPT, this is the thing that really got me. So I'm still into it, but I keep meaning to try out Cursor, and I think now that things have calmed down, I'm gonna give it a real go.[00:49:03] swyx: Yeah, it's a big thing to change your tool of choice.[00:49:06] swyx: Yes,[00:49:06] Michelle Pokrass: yeah, I'm pretty dialed, so.[00:49:09] swyx: I mean, you know, if you want, you can just fork VS Code and make your own. That's the thing to dumb thing, right? We joked about doing a hackathon where the only thing you do is fork VS Code and bet me the best fork win.[00:49:20] Michelle Pokrass: Nice.[00:49:22] swyx: That's actually a really good idea. Yeah, what's up?[00:49:26] swyx: I mean, congrats on launching everything today. I know, like, we touched on it a little bit, but, like, everyone was kind of guessing that Voice API was coming, and, like, we talked about it in our episode. How do you feel going into the launch? Like, any design decisions that you want to highlight?[00:49:41] Michelle Pokrass: Yeah, super jazzed about it. The team has been working on it for a while. It's, like, a very different API for us. It's the first WebSocket API, so a lot of different design decisions to be made. It's, like, what kind of events do you send? When do you send an event? What are the event names? What do you send, like, on connection versus on future messages?[00:49:57] Michelle Pokrass: So there have been a lot of interesting decisions there. The team has also hacked together really cool projects as we've been testing it. One that I really liked is we had an internal hack a thon for the API team. And some folks built like a little hack that you could use to, like VIM with voice mode, so like, control vim, and you would tell them on like, nice, write a file and it would, you know, know all the vim commands and, and pipe those in.[00:50:18] Michelle Pokrass: So yeah, a lot of cool stuff we've been hacking on and really excited to see what people build with it.[00:50:23] Simon Willison: I've gotta call out a demo from today. I think it was Katja had a 3D visualization of the solar system, like WebGL solar system, you could talk to. That is one of the coolest conference demos I've ever seen.[00:50:33] Simon Willison: That was so convincing. I really want the code. I really want the code for that to get put out there. I'll talk[00:50:39] Michelle Pokrass: to the team. I think we can[00:50:40] Simon Willison: probably

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Here's episode 97 of Michigan's premier progressive podcast! 00:00-14:36: Harris Picks Tim Walz/MI Primary Results Pat discusses why VP Kamala Harris made a brilliant pick to make Minnesota Governor Tim Walz her running mate atop the Democratic presidential ticket. Populism is taking over the country. Rather than shunning that move, Harris embraced it by choosing the common sense progressive Governor. It helps paint a stark contrast both in style and policy between them and the rich and elite Dear Leader Trump-J.D. Vance MAGA ticket. And Pat covers some of the Michigan primary results. 14:37-38:38: Distill Social's Gina Keller Pat talks with Gina Keller, co-founder and Digital Director of the powerful progressive outfit known as Distill Social. Gina's also the co-host of the Point of Disorder podcast, which covers Michigan and national politics. Pat & Gina talk about what Distill Social's been up to, the podcast, the idiocy of trying to ban TikTok, the new energy infusion from the Harris-Walz ticket, and more. Distill Social works on spreading the progressive message and activism happening in the state through social media.  38:39-42:38: Last Call on Florida Mike's Saudi Ties Democratic Congresswoman Elissa Slotkin will face MAGA Republican "Florida" Mike Rogers this November for Michigan's U.S. Senate seat being vacated by the retiring Debbie Stabenow. Rogers, who once criticized Dear Leader Trump, is now Dear Leader's buddy. But while he's ostensibly against America doing business with China and other overseas businesses, Florida Mike certainly didn't mind doing business with China AND Saudi Arabia during his post-Congressional years. 42:39-44:31: Ending Please, subscribe to the podcast, download each episode, and give it a good review if you can! leftoflansing@gmail.com Left of Lansing is now on YouTube as well! leftoflansing.com

Can understanding users' real-life experiences transform your product development strategy?In this episode, Hannah Clark is joined by Kevin Gentry—Principal Product Manager at Hilton Grand Vacations, & Co-founder and Host of the Product Coffee Podcast—to unveil his well-honed playbook for sourcing user insights, rooted in the principles of "The Mom Test."

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This week I'm excited to revisit an insightful conversation I had with Tiago Forte about his book Building a Second Brain: A Proven Method to Organize Your Digital Life and Unlock Your Creative Potential. Tiago walks us through his groundbreaking framework, PARA—Projects, Areas, Resources, Archives—that aims to revolutionize how we organize information in our digital lives. We'll also explore the CODE methodology—Capture, Organize, Distill, Express—that helps manage and make sense of the influx of ideas and tasks we face daily. Tune in as we draw compelling parallels between digital and physical organization, delve into the art of building a dependable "second brain," and discuss the immense benefits of externalizing our thoughts. This episode promises to offer actionable insights for everyone—from online content creators to everyday knowledge workers—on mastering the chaos of information overload. Plus, get a sneak peek into upcoming topics on enhancing productivity, effective communication, and more. So, grab your notepads as we embark on this journey to cleaner, more efficient digital lives with Tiago Forte! ______________________________________ Connect with Tiago: Website Book LinkedIn Twitter  ______________________________________ Connect with Erik: LinkedIn  Facebook  Instagram  ______________________________________ This Podcast is Powered By: Descript Descript 101 Castmagic Ecamm Podpage Rodecaster Pro Top Productivity Books List Make sure to support the show by checking out the sponsors! Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Rational Animations' intro to mechanistic interpretability, published by Writer on June 15, 2024 on LessWrong. In our new video, we talk about research on interpreting InceptionV1, a convolutional neural network. Researchers have been able to understand the function of neurons and channels inside the network and uncover visual processing algorithms by looking at the weights. The work on InceptionV1 is early but landmark mechanistic interpretability research, and it functions well as an introduction to the field. We also go into the rationale and goals of the field and mention some more recent research near the end. Our main source material is the circuits thread in the Distill journal and this article on feature visualization. The author of the script is Arthur Frost. I have included the script below, although I recommend watching the video since the script has been written with accompanying moving visuals in mind. Intro In 2018, researchers trained an AI to find out if people were at risk of heart conditions based on pictures of their eyes, and somehow the AI also learned to tell people's biological sex with incredibly high accuracy. How? We're not entirely sure. The crazy thing about Deep Learning is that you can give an AI a set of inputs and outputs, and it will slowly work out for itself what the relationship between them is. We didn't teach AIs how to play chess, go, and atari games by showing them human experts - we taught them how to work it out for themselves. And the issue is, now they have worked it out for themselves, and we don't know what it is they worked out. Current state-of-the-art AIs are huge. Meta's largest LLaMA2 model uses 70 billion parameters spread across 80 layers, all doing different things. It's deep learning models like these which are being used for everything from hiring decisions to healthcare and criminal justice to what youtube videos get recommended. Many experts believe that these models might even one day pose existential risks. So as these automated processes become more widespread and significant, it will really matter that we understand how these models make choices. The good news is, we've got a bit of experience uncovering the mysteries of the universe. We know that humans are made up of trillions of cells, and by investigating those individual cells we've made huge advances in medicine and genetics. And learning the properties of the atoms which make up objects has allowed us to develop modern material science and high-precision technology like computers. If you want to understand a complex system with billions of moving parts, sometimes you have to zoom in. That's exactly what Chris Olah and his team did starting in 2015. They focused on small groups of neurons inside image models, and they were able to find distinct parts responsible for detecting everything from curves and circles to dog heads and cars. In this video we'll Briefly explain how (convolutional) neural networks work Visualise what individual neurons are doing Look at how neurons - the most basic building blocks of the neural network - combine into 'circuits' to perform tasks Explore why interpreting networks is so hard There will also be lots of pictures of dogs, like this one. Let's get going. We'll start with a brief explanation of how convolutional neural networks are built. Here's a network that's trained to label images. An input image comes in on the left, and it flows along through the layers until we get an output on the right - the model's attempt to classify the image into one of the categories. This particular model is called InceptionV1, and the images it's learned to classify are from a massive collection called ImageNet. ImageNet has 1000 different categories of image, like "sandal" and "saxophone" and "sarong" (which, if you don't know, is a k...

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Due to a clerical error Hawkeye is declared dead & now he has to convince the Army, & his Dad, he's alive. Join Cbus Brian & Cbus Jon as they Distill this hilarious episode from season 4 written by the writers & producers of Cheers! Will Hawkeye be able to reach his Dad in time to save his golf clubs? Will Hawk punch out Capt. Pratt for calling him an "Unperson"? Will Klinger get a lift home in the coffin, with some sandwiches? Found out all these answers on this interestingly exciting episode of The Mash Files!

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In this episode, we Ryan Holck, a speaker, author, marketer, and brand messaging strategist. Ryan is the creator of the Distill Your Story framework that guides brands to tell their story clearly so that they are memorable and referable.   He mentions the tension in nonprofits between having many stories to tell but not always focusing attention well.   The conversation highlights the importance of focusing on the outcomes provided by a business rather than just the tasks performed. Website: Distill Your Story Facebook: Ryan Holck LinkedIn: Ryan Holck   Check out our CEO Hack Buzz Newsletter–our premium newsletter with hacks and nuggets to level up your organization. Sign up HERE.  I AM CEO Handbook Volume 3 is HERE and it's FREE. Get your copy here: http://cbnation.co/iamceo3. Get the 100+ things that you can learn from 1600 business podcasts we recorded. Hear Gresh's story, learn the 16 business pillars from the podcast, find out about CBNation Architects and why you might be one and so much more. Did we mention it was FREE? Download it today!

In a world with lots of content noise, play to the silences. Let your messaging be simple and clear, and even short. In this episode, we're learning from the musician who let there be simplicity and space. Who played his trumpet in a sparse style so that each note was beautiful and carefully chosen. That's Miles Davis.And with our special guest, Ben Lempert, Director of Content & Web at Heap, we're talking about creating simple messaging, capturing different voices, leaving room for spontaneity, and the importance of feeling in your marketing.About our guest, Ben LempertBen Lempert is Director of Content & Web at Heap. He has been there for over 4 years, having joined in August 2019 as Head of Corporate Marketing. During his time in his current role, Ben has built a Thought Leadership Content Hub to curate all of Heap's content and facilitate the stages of the buyer's journey, created the Heap Digital Insights Report, which generated thousands of leads and a 50% increase in content downloads, created the Digital Experience Insights Report series, which generated 6000+ downloads and bylines in Forbes and VentureBeat, developed creative initiatives including the Heap Comic Book and the Heap Explainer video series,  grew SEO traffic from 0 to 29,000+ visitors/month, increased social media followers by 100% over three successive years, and grew PR SOV 25% QoQ for nine successive quarters. He has over 10 years of experience in content strategy, brand, comms, creative, editing, and leadership.What B2B Companies Can Learn From Kind of Blue:Create simple messaging. Distill your message into plain but pointed language directed at your particular audience. Ben says, “What people respond to in Kind of Blue, and I think what people often respond to best in good content, is a simple, clear, open, direct message. I think a lot of companies get very complex in talking about the nuances of their solution and the technical advantages their product offers. I think it's worth it in the content world for most companies to think about what your fundamental message is, whether that's one sentence or one paragraph or four words. What's the thing that people will respond to that explains what you do and why it matters in a unique way? It's very hard to get to. I don't think many companies do it well. It's very easy to come up with something that's too abstract to be meaningful.”Capture different voices. Feature quotes from both your customers and colleagues in your content. Gather info and input from all of them and work it into your content. You don't have to operate all alone on a marketing island. Ben says, “Jazz, like content, is a team activity. I think one of the great things about Kind of Blue is that there's room for lots of individual voices. When we think about representing our company through our content, it's worth recognizing that there are plenty of voices across the company. And they all have different ways of expressing what's important. So it's okay to vary the voice and story you're telling, as long as you have a fundamental story that is simple and clear. What's on top of it involves orchestrating these different voices in a way that hits people in different ways and allows for nuance and complexity to be added to your story.”Leave room for spontaneity. Yes, get your work done. But then leave a little time to experiment and play. Ben says, “We are all extraordinarily busy. But sometimes the best marketing comes from carving out time for free form group thinking. Brainstorming, coming up with ideas that are new and off the wall, having that be a prompt.”Mood and feeling matter. Instead of getting into the nitty gritty technical details, focus on how you make the customer feel. Ben says, “Kind of Blue has that impact on you because of the way it sounds. You're not listening to every single note and you're not listening to Coltrane saying, ‘Oh, he played a flat 13 there. Whoa, that's wild!' It impacted you on a deeper, more emotional level. And we often forget that as content writers, that our audience are not robotic automatons. They're people. And we want to hit their emotions. That's where you reach people.” So ask yourself, “How do I want to make my audience feel?”Quotes*”[Kind of Blue] is one of the very few jazz records that most people who are not jazz fans own and listen to actively. And I think there are lots of reasons for that. And I think that gives us a pretty interesting lens for thinking about how content works, given that lots of content is directed towards people who may not be aware of the intricacies of your technical solutions, but still want to be compelled by what you have to say and want to be interested in it.” - Ben Lempert*”Miles was famous for having a very sparse style, very much interested in playing space. And for him, he was very actively thinking about how to play the silence and the space between notes as much as he was playing the actual notes. So he was super minimalist, would play one or two notes, but they would be absolutely beautiful and absolutely brilliant and took a sort of courage to play those one or two notes that very few musicians have. It's much easier to play a lot of notes and hope you get something right. It's much harder to have that one pithy statement and let it hang there.” - Ben Lempert*”Always strive to create a simple, communicable foundation that ideally everyone in the company can embody. And when the audience receives it, they understand right away. And then you build complexity on top of that.” - Ben LempertTime Stamps[0:55] Meet Ben Lempert, Director of Content & Web at Heap[4:37] Ben Lempert's Journey from Jazz Musician to Director of Content[8:47] The Making of Kind of Blue: A Revolutionary Jazz Album[10:20] Miles Davis' Vision and the Birth of Modal Jazz[23:59] Kind of Blue's Legacy and Impact on Jazz and Beyond[28:24] Exploring the Creative Process and Expectations[29:51] The Power of Minimalism in Music and Marketing[33:44] Improvisation: Jazz Lessons for Conversational and Creative Skills[36:12] Marketing Wisdom from Jazz: Simplicity, Emotion, and Spontaneity[48:38] Heap's Content Strategy: Blending Business Goals with Creative Storytelling[55:12] Embracing Experimentation and Spontaneity in Content CreationLinksListen to Kind of BlueConnect with Ben on LinkedInLearn more about HeapAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both nonfiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Senior Producer). Remarkable was produced this week by Meredith Gooderham, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise.

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Original airdate: May 31, 2022 So many of us undervalue our own experience and overlook the wisdom that can support us daily. These habits of self-sabotage knock the wind out of our sails and keep us searching and grasping for what we have already realized. One way to overcome this is to see life as a unique epic journey and become aware of the transformation we experience through its peaks and valleys. To help us find inspiration, I invited Amy Edelstein. Amy Edelstein is the author of six books, including the award-winning The Conscious Classroom. Founder of the non-profit Inner Strength Education and recipient of a Philadelphia Social Innovator's award, Amy's work has empowered 17,000 teens in under-resourced schools with mindfulness and systems thinking. During our conversation, Amy shared what she learned during an epic journey she took in 1983 to the remote western corner of the Tibetan Plateau in Zanskar, India. She also offers ideas on how to view our own lives as journeys so that we feel empowered and immersed in the richness of everyday living.

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What do you want your audience to understand about your brand? Ask this question with every piece of content you create. Because you want to drive home a specific message. If it's not doing the job, you need to synthesize the information for your audience. Distill your message to show the value and benefits of your product. It's how you cut through the noise and capture the attention of your audience. That's what we're talking about today with the help of Sproutloud's Director of Demand Generation, Aaron Morrissey. Together, we watch Parts Unknown and chat about lessons we can take from Anthony Bourdain, including being yourself in your content and synthesizing your message. About our guest, Aaron MorrisseyAaron Morrissey is the Director of Demand Generation at Sproutloud Media Networks, where he works with enterprise clients to help them launch, manage, and optimize digital campaigns across their distributed network. He joined the company in November of 2022. Prior to his current role, he served as Director of Demand Gen at Topia. He is also a content creator for HockeyStack and other B2B SaaS brands.What B2B Companies Can Learn From Parts Unknown:Be the same person in your content as you are in real life. Show that there's a real person behind the content you're creating, not some corporate bot. So breathe personality and soul into your content. Aaron says, “When the cameras turned on from when the cameras turned off, [Anthony Bourdain] was the same person. If I'm the same person all around, people will start to either  gravitate toward that or realize that I'm not their cup of tea. People talk so much about authenticity. The real authenticity is truly not being afraid of the consequences of being yourself.” Synthesize your message to drive home the point you're making. Supplement the visuals with a carefully crafted narrative in your voice that explains what you want your audience to understand. Ian says, “[Anthony Bourdain] brings you into a world that you don't know anything about. And he's giving you these visuals and these conversations. But then he's also synthesizing the information for you in an extremely tight narrative so that he's hammering home the point of what you're seeing with a very clear lesson in every episode. It's what makes it so brilliant.”Time Stamps[0:55] Meet Aaron Morrissey, Director of Demand Generation at Sproutloud[1:47] Exploring the Uncompromising Creativity of Parts Unknown[5:36] Aaron Morrissey's Journey: From Content Creation to Demand Generation[7:47] The Essence and Impact of Anthony Bourdain's Parts Unknown[15:22] Crafting a Personal Brand: Insights from Anthony Bourdain's Legacy[19:24] The Art of Content Creation: Learning from Bourdain's Approach[21:09] Synthesizing Information: The Key to Engaging Content[24:45] Exploring Culinary Delights and Conversational Skills[25:35] The Art of Storytelling in Parts Unknown[27:12] Anthony Bourdain's Legacy and the Power of Serialized Content[28:18] The Impact of Following Bourdain's Footsteps[30:35] Creative Evolution and the Importance of Authenticity[36:49] Marketing Strategies and the Future of Content Creation[47:06] Predictions on the Future of the Creator World and B2B ContentLinksWatch Parts UnknownConnect with Aaron on LinkedInLearn more about SproutloudAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both non-fiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Senior Producer). Remarkable was produced this week by Jess Avellino, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise.

It's This Week in Bourbon for March 15th 2024. A brewer in Ohio is suing the federal government saying he should be able to distil as a hobby, Chattanooga is releasing DISCOVER EXPERIMENTAL BATCH 037: ANCIENT WHEAT!, and Limestone Branch Distillery has announced the second release in its Yellowstone Special Finishes Collection: Yellowstone Rum Cask FinishShow Notes: Should the government be able to stop you from making whiskey? Buzzard's Roost Ambuzzador Rebel 100 6-Year Bourbon Chattanooga is releasing Discover Experimental Batch 037: Ancient Wheat Yellowstone Rum Cask Finish @buzzardsroostwhiskey @chattwhiskey @rebelbourbon @yellowstonebourbon Support this podcast on Patreon

Happy Tuesday to ussssss (Gary Barlow accent)! Here we go: Where did you fall asleep? Airline pilots are suspended after both fall asleep mid-flight! A new twist has been discovered regarding the Kate Middleton photo scandal! How old are your ears? We measured the age of our ears through a video that is going viral! Which nepo baby is releasing a new album? Find out in the Glossys! No one believed Blackers when he reminisced on a gingerbread man at Pizza Hut, but a lot of callers dialled in to express their support! That was LOOSE! Florida is trying to crack down on brawls, twerking and pound drinks in Cancun! We play the City Names edition of Joel Jivin'! Follow us @rickileetimandjoel!See omnystudio.com/listener for privacy information.

The media is full of reports that the economy is in fine shape due to a "strong" and "resilient" consumer who has held up much better than expected during the recent years of high inflation and high interest rates. But has the average consumer truly shrugged all that off? Or are they in worse shape than we're being told? For a deep dive into the true state of the US consumer, we'll hear today from Neely Tamminga, researcher, professor and co-founder of the retail consulting firm DISTILL. Follow Neely on X at @neelytamminga or at her website at https://distilladvisory.com/ WORRIED ABOUT THE MARKET? SCHEDULE YOUR FREE PORTFOLIO REVIEW with Thoughtful Money's endorsed financial advisors at https://www.thoughtfulmoney.com #consumer #retirees #millennials

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In this episode of TST, Nick Koziol sits down with Jason Rosenberg, to discuss the 100 Million Dreamers Project and its impact on the healthcare industry. Jason shares his passion for healthcare and for streamlining healthcare operations and his desire to use the three D's (Discover, Distill, Define), to help our healthcare workers reduce operational stress. Jason takes it all a step further by introducing dreamwork to address their mental well-being as part of the 100 Million Dreamers Project, where Jason is transforming healthcare and our world through intentional collective dreamwork and 3D Systems Change. Tune in for an episode that promises inspiration, innovation, and a truly terrific positive impact! About Jason Rosenberg, Director of Development at the 100million Dreamers Project Email: jasonrosenberg.work22@gmail.com LinkedIn: www.linkedin.com/in/dreamworker Jason Rosenberg has been passionate about healthcare since childhood, tagging along with his dad on hospital rounds. Inspired by his early experiences and the Affordable Healthcare Act, he founded Medical Resources Management, Inc. to streamline healthcare operations. His career has evolved into leadership roles focusing on Revenue Integrity and Clinical Operations, and now, he is dedicated to mentoring healthcare professionals to overcome their challenges and make a real difference. Recently, he has incorporated a new process of helping healthcare workers reduce stress both operationally using a process called 3D (Discover, Distill, Define) and at the level of the mind through Dreamwork. Find Out More About the 100million Dreamers Project: Website: www.daviddibble.com LinkedIn: www.linkedin.com/company/100m-dreamers-3d-project More About That Sounds Terrific - Host Nick Koziol For more information on our Podcast, That Sounds Terrific visit our website at www.thatsoundsterrific.com  and be sure to follow us on Facebook, Twitter, and Instagram. If you or someone you know are doing some terrific things that should be featured by our show then be sure to reach out by emailing us at thatsoundsterrfic@gmail.com. Special Thank You to Our Sponsors & Key Supporters: Chris Jones of Chris Jones Media for the Introduction and Outro recordings for That Sounds Terrific.  Into and Outro animation created in collaboration with Ben Albert of Balbert Marketing, LLC. Boost your business popularity, traffic, and conversions online!   The video and audio portions of this podcast are powered by the Vidwheel Creator Network. Join Neil Carrol and be a part of the network that allows you to learn and develop video skills. Make powerful video content while looking terrific on camera so that you can sustain and grow your businesses. Reach a wider audience of clients and partners who need to hear your message and develop the flexibility in your businesses to thrive in a turbulent world.  --- Support this podcast: https://podcasters.spotify.com/pod/show/thatsoundsterrific/support

Tekpon is a software aggregator and lead generation website. Tekpon's purpose is to help individuals and organizations make informed decisions about software products, help them reduce costs, and create a proper, must-needed software stack. Connect with Alexandru

Dive into the world of distillation with our latest episode of the Distillery Nation Podcast, where I had the pleasure of chatting with the insightful Matt Howell, the mastermind behind Chuckanut Bay Distillery. In this captivating episode, we explored Matt's intriguing journey into the distilling realm, a path paved from his roots as a wine salesperson. Discover how this unique background shaped his perspective and contributed to Chuckanut Bay Distillery's distinct approach to crafting spirits. One of the highlights of our conversation was the discussion on their unconventional choice of ingredients – potatoes and local wheat. Matt delved into the intricacies of their distillation process, shedding light on the artistry involved in turning these humble elements into exceptional spirits.

How can we make digital experiences work for all visitors — whether kids or grandparents? Hint: it has to do with recognizing “diverse digital literacies.” When should you bring in a creative technologist? Why should you aim for the strong verbs? What is “sneaky attract mode”? How do you do paper prototyping? Are a lot of digital experiences in museums essentially “sexy browsing”? Are touch tables a trend that will never die?Patrick Snee (Creative Technologist) joins Jonathan Alger (Managing Partner, C&G Partners) to reveal “5 Secrets of Digital Experience Design”. Along the way: tessellation, thinking in three dimensions, and a return to agar art!Talking Points: 1. Think in 3 Dimensions 2. Assume Diverse Digital Literacies 3. Identify the (Strong) Verb 4. Distill the Personality 5. Prototype Early and Often Guest Bio:  For more than two decades, Patrick Snee has designed and engineered immersive, interactive exhibitions for leading museums and brand environments. As a creative technologist, he uses a holistic, multi-disciplinary approach to craft effective, engaging digital experiences. A former agency founder and principal, Patrick now consults on complex media projects in roles ranging from concept strategy to interaction design to application development. His recent projects include immersive experiences for Kennedy Space Center and Nokia Bell Labs, interactive exhibits for Liberty Science Center, The Henry Ford, and the National Archives, and digital strategy for the New Britain Museum of American Art.Show Links: https://patricksnee.com/ps@patricksnee.comhttps://www.linkedin.com/in/patrick-snee/https://www.instagram.com/mnemonic.studio/ About Micro-interactions:https://uxdesign.cc/micro-interactions-why-when-and-how-to-use-them-to-boost-the-ux-17094b3baaa0 Prototyping Digital Exhibits:http://www.mnemonic.studio/memo/prototyping-digital-exhibits-part-1/ The Magic of Paper Prototyping:https://uxplanet.org/the-magic-of-paper-prototyping-51693eac6bc3 Prime Access Consulting:https://www.pac.bz/ Shivers Down Your Spine:https://cup.columbia.edu/book/shivers-down-your-spine/9780231129893  Newsletter: Like the episode? Try the newsletter. Making the Museum is also a one-minute email on exhibition planning and design for museum leaders, exhibition teams and visitor experience professionals. Subscribe here: https://www.makingthemuseum.comAbout MtM:Making the Museum is hosted (podcast) and written (newsletter) by Jonathan Alger. This podcast is a project of C&G Partners | Design for Culture. Learn about the firm's creative work at: https://www.cgpartnersllc.com

Marketing is a crucial aspect of practice growth, yet it's something many of us struggle with. Orthodontists often find themselves faced with the challenge of effectively managing and implementing marketing strategies to stand out in a competitive market.In this episode, I welcome Veronica Romney, the founder of the Rainmaker Residency, to share insights and expertise on orthodontic marketing and leadership.You don't need someone with a fancy title when you're just starting out. You need a doer, someone who can roll up their sleeves and get things done. Think of website updates, social media magic, patient engagement, etc.Sure, TikTok might be all the rage, but before you jump on the latest platform bandwagon, make sure your marketing fundamentals are solid.A rock-solid website, glowing online reviews, and accurate listings are your online smile. And don't underestimate the power of Google reviews – they're like magnets for new patients.What makes your practice unique? What sets you apart from the orthodontist down the street?  Distill that into a clear unique selling proposition (USP) – your secret sauce.Tune in to this episode for more marketing insights and how Veronica provides a comprehensive solution for orthodontic practices by matching orthodontists with the right marketers.Key TakeawaysIntro (00:00)Meet Veronica Romney (03:46)Marketing titles inflation (10:59)Orthodontic social media marketing (15:06)Differentiation and unique selling propositions in orthodontics (20:14)Hiring and coaching marketing professionals (27:43)Marketing strategies for orthodontists (38:40)Additional Resources

“One of the best things we can do as a leader is to tell our team they can drive their own growth. It will take work, but it doesn't have to be hard.”In this episode, we're joined by Dr. Carla Fowler, Managing Director at THAXA Executive Coaching, who helps leaders level up and achieve their goals by using a unique approach combining the latest research from performance science with timeless best practices.Listen in as Dr. Fowler shares strategies to help leaders gain more clarity and focus, take their time back, and what to do when we don't quite feel enough. Along the way you'll also pick up tips on how to improve yourself and your team without feeling burnt out.In this episode, you'll learn:Spend 90 minutes every 90 days with each team member to work with them to identify their motivations for growth and create personalized learning opportunitiesBegin your week with personal reflection and planning to gain clarity on your leadership roleBreak down complex tasks and big goals into smaller, manageable steps to prevent feeling overwhelmedThings to listen for:[07:33] Continuously improve, simplify, and diversify practice methods[11:32] Embrace uncertainty and don't judge yourself[14:36] Clarity and intention are keys to becoming a successful leader[19:22] Recognize inner dialogue and celebrate progress[23:15] Embracing uncertainty and running good experiments[29:19] Distill thoughts and turn ideas into impactful contentResources:Floyd CoachingThe Culture AssessmentMatthew Kelly's BooksFloyd Coaching's BlogConnect with the Guest:Dr. Carla Fowler's LinkedinConnect with the Host & Floyd Coaching:Kate Volman's LinkedinFloyd Coaching on LinkedinFloyd Consulting on FacebookFloyd Consulting on TwitterFloyd Consulting on YouTubeFloyd Consulting on Instagram

A very special podcast to wrap up the end of the year. For the third year I decided to go back, listen and re-listen to all the great interviews that happened in the last year and pick some of my favorite pieces and add commentary on why that piece was important and how in most cases it helped with the direction for my business. 1. Sean from Fox and Seeker - Navigating Resources for Small Distilleries In Episode [Timestamp: 32:16 - 34:05], Sean emphasizes the challenges faced by small distilleries in supporting on-premise operations. He advocates for a strategic focus on retail avenues as an initial step, recognizing the difficulties of resource allocation. 2. Sonat from Koval Distillery - The Power of Adaptability and Branding Sonat's insights, shared between [Timestamp: 24:19 - 29:02], revolve around the significance of adaptability. She discusses the "aha moment," stressing the importance of shifting strategies when needed and harnessing the power of effective branding. 3. Dan from Cotswolds Distillery - The Cash Cow: Gin's Role in Funding Business Growth In the segment [Timestamp: 35:10 - 38:06], Dan delves into the role of a flagship product, using gin as an example, in funding various aspects of a small distillery business. He explores the concept of a "cash cow" product and its potential impact on overall business sustainability. 4. Dave from Starwards Distillery - Beyond a Good Product: Crafting a Unique Value Proposition Dave's discussion from [Timestamp: 36:45 - 39:26] emphasizes the importance of having more than just a good product. He highlights the need to articulate reasons why consumers should choose a particular bottle, emphasizing the creation of a compelling brand story. 5. Grant from Chattanooga Whiskey - Crafting Tradition 2.0: Raw Material Focus Grant, between [Timestamp: 16:49 - 20:15], discusses the unconventional approach of prioritizing raw materials over traditional recipe development. This strategy helps build a brand identity beyond generic offerings, aligning with consumer expectations. 6. Lee from Wood's High Mountain Distillery - Maturation in High Altitude: A Unique Approach Exploring the impact of maturation at high altitudes, Lee's insights from [Timestamp: 36:13 - 39:10] shed light on the diverse approaches distilleries take. The discussion prompts a deeper exploration of the topic and its implications for flavor profiles. 7. Ian from Ohanafy - Leveraging Technology in Beverage Alcohol Production In the segment [Timestamp: 36:03 - 37:00], Ian underscores the importance of technology in beverage alcohol production. He discusses how technology enables small producers to achieve more with fewer resources while ensuring a unified and correct approach. 8. Tom from Herrick Distillery - Unexpected Best Sellers: Listening to Consumer Feedback Tom's experience, shared from [Timestamp: 21:20 - 22:33], highlights the potential of unexpected products becoming best sellers. He emphasizes the importance of actively listening to consumer feedback, especially during tastings. 9. Mathias from Purity Distillery - The Significance of Copper Surface in Distillation In Episode [Timestamp: 23:49 - 27:20], Mathias emphasizes the importance of copper surface during distillation. He discusses the critical role of selecting the right still for the desired product. 10. Matt from Big Thirst - Co-promotion and Collaborations: Amplifying Brand Exposure Matt's insights, shared between [Timestamp: 39:35 - 40:32], focus on the importance of co-promotion and collaborations. He highlights how sharing audiences and exposure between brands can significantly amplify brand visibility. 11. Nicolas from PM Spirits - Creating Your Own Box: Diversifying Revenue Streams Nicolas, in the segment [Timestamp: 22:14 - 23:27], discusses the concept of creating your own box. He explores the idea of diversifying revenue streams, whether through wholesaling, creating unique brands, or engaging in collaborations to supplement the initial business model. A Year in Review was created with the hope everyone will find something to take away into the new year!

Join me for an insightful episode of Zero to CEO featuring Business Communication Expert Davina Stanley, as we explore the art of message distillation and its impact on senior leaders, boards, and VC partners. Discover valuable strategies to enhance your communication skills, including the importance of speed in reading, insights into the human brain, and the role of effective editing tools. In this episode, we'll dive deep into the world of startup growth hacking and provide you with the knowledge to transform your approach to decision-making and communication. Don't miss out on this enlightening discussion that's sure to elevate your entrepreneurial journey. Tune in now!

How do you develop a vision that moves beyond survival and service and into expansion? In this episode, Alex continues our series on vision by breaking down 5 practical steps that will help you craft a compelling, expansionary vision for your organization. He also shares a valuable tool you can use to distill that vision down into a clear, actionable, and inspirational format. Make sure to listen to the end of the episode to learn how you can access this resource for free!  Aim is essential, and vision defines where you're going (0:39) The highest contribution of leadership is to cast a compelling, expansionary vision (4:27) You have agency, and your calling matters (6:45) Here's how an expansionary vision benefits your team (8:09) 1. Define your nonnegotiables (11:51) 2. Choose the right stakeholders (15:44) 3. Change the scenery (24:43) 4. Unravel the dream (27:13) 5. Distill the vision (29:50) Resources: Try the Path for Growth Community Coaching for Free for 14 Days Path for Growth One-on-One Coaching Download the Free Reading Guide Join Path for Growth on Instagram for more content.

Achieve your goals!

Welcome back to another exciting episode of the Distillery Nation Podcast! In this episode, I had the pleasure of chatting with Ian Padrick, the CEO of Ohanafy, a technology-based company that specializes in serving the craft beverage market. Ian shared with us the fascinating story of how Ohanafy began its journey. It all started with a consulting job for a brewery, where they identified a need for better technology solutions in the industry. This realization led them to develop a platform that would revolutionize the way craft beverage businesses operate. One of the key highlights of our conversation was Ohanafy's integration with Salesforce, a powerful CRM platform. Ian explained how this integration streamlines processes and enhances efficiency for craft beverage producers. From managing customer relationships to tracking sales and inventory, Ohanafy provides a comprehensive solution tailored to the industry's unique needs. We also delved into the topic of TTB reporting, a crucial aspect of compliance for alcohol producers. Ohanafy simplifies this process by automating data collection and generating accurate reports, saving both time and resources for businesses. Pricing is another critical factor for craft beverage businesses, and Ian shared how Ohanafy helps clients with pricing strategies and calculations. Their platform empowers producers to make informed decisions based on real-time data and market trends, giving them a competitive edge in the industry. Customer service is at the forefront of Ohanafy's values, and Ian emphasized the company's dedication to providing exceptional support to their clients. They understand the unique challenges faced by craft beverage businesses and go above and beyond to ensure their success. Overall, our conversation with Ian Padrick shed light on the innovative solutions offered by Ohanafy to the craft beverage market. Whether it's streamlining operations, ensuring compliance, or maximizing profitability, Ohanafy's technology is transforming the industry one sip at a time. Be sure to tune in to the full episode to gain valuable insights from Ian and learn how Ohanafy can help your craft beverage business thrive. Cheers!

Welcome back to another exciting episode of the Distillery Nation Podcast! In today's episode, we had the pleasure of sitting down with Lee Wood, the co-founder and owner of Wood's High Mountain Distillery. Our conversation took us on a captivating journey through their beginnings in the distilling industry, the intricacies of whiskey production, and the unique challenges of high-altitude distillation. Lee shared their inspiring story of how Wood's High Mountain Distillery came to life. It all started with a passion for quality spirits and a desire to create something truly exceptional. With dedication, persistence, and a deep love for their craft, Lee and their team set out on a mission to craft high-quality, handcrafted spirits that would leave a lasting impression. One of the key topics we explored was whiskey production. Lee shed light on the various aspects that contribute to the flavor and character of whiskey, including the importance of selecting the right grains, yeast, and barrels. We delved into the art of aging and how it transforms the spirit into a complex and well-rounded whiskey. Another fascinating aspect we discussed was how high-altitude affects distillation. Lee explained how the reduced air pressure at higher altitudes impacts the boiling point of liquids, leading to unique challenges and considerations during the distillation process. It was truly enlightening to understand how these environmental factors play a role in shaping the final product. Throughout the conversation, Lee's passion for their craft and commitment to producing exceptional spirits shone through. Their dedication to quality, coupled with an unwavering pursuit of innovation, has made Wood's High Mountain Distillery a force to be reckoned with in the industry. If you're a whiskey enthusiast or simply curious about the art of distillation, this episode is a must-listen. Join us as we dive deep into the world of spirits with Lee Wood, uncovering the secrets behind Wood's High Mountain Distillery's success. Tune in to the latest episode of the Distillery Nation Podcast, available now on all major podcast platforms. Cheers to Lee Wood and the Wood's High Mountain Distillery team for sharing their knowledge and passion with us!

One way to stand out above other applicants is by telling a compelling story- your career story. But research shows that only 35% of applicants write a cover letter. Find Your Dream Job guest Scott Clyburn says you need to use that cover letter to create a “greatest hits'' list of your career achievements. Distill your accomplishments down to those that had the most success. Curate your resume to show an employer how your experience will make you an asset to their company. And do enough research to allow you to speak about the company knowledgeably.  About Our Guest: Scott Clyburn (http://linkedin.com/in/scottclyburn) is the founder of North Avenue Education (https://northaveeducation.com/). His company offers test preparation, study skills coaching, and academic tutoring.  Resources in This Episode: Is grad school in your future? If so, find out how Scott can help you by visiting his website at North Avenue Education (https://northaveeducation.com/). From our Sponsor: Find Your Dream Job is brought to you by TopResume.(http://macslist.org/topresume) Top Resume has helped more than 400,000 professionals land more interviews and get hired faster. Get a free review of your resume today from one of Top Resume's expert writers. (http://macslist.org/topresume)

America: We have the ports. Neither Guinea Nor Pig. Pure Frickin' Water. I can't Stand the Guy but I want his hair. I'd tap that cactus. That Doesn't Make Any Sense, So No. Distill my beating heart. What letter isn't in there? 7. Man of the Dessert. Cactus-Fried Kidneys. Canceling Just to Spite You with Tom. You shouldn't have to ask for recommentals with Nicole and Randy and more on this episode of The Morning Stream. Learn more about your ad choices. Visit megaphone.fm/adchoices