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Marcus, Luke and Andy wave Tottenham and Man United into the Europa League final with a simple question: does the fact that one of these basket cases will qualify for the Champions League make a mockery of the Europa League? And what needs to be done to address the imbalance in the Conference League? Elsewhere, we explore the unique reasons behind players becoming club legends and after a certain humdinger earlier this week, we try to work out the ingredients for a perfect game of football. Plus, could Nottingham Forest's unique brand of football suit them in a potential European campaign? Our live tour is happening THIS WEEK! Get your tickets now before it's too late: https://footballramblelive.com.Find us on Bluesky, X, Instagram, TikTok and YouTube, and email us here: show@footballramble.com.Sign up to the Football Ramble Patreon for ad-free shows for just $5 per month: https://www.patreon.com/footballramble.***Please take the time to rate us on your podcast app. It means a great deal to the show and will make it easier for other potential listeners to find us. Thanks!*** Hosted on Acast. See acast.com/privacy for more information.

If you're flying to Ireland from North America, chances are you're looking at round-trip tickets into and out of Dublin. It's the most popular route for good reason—direct flights, solid availability, and yes, it's usually cheaper. But if your Irish adventure follows a classic path—landing in Dublin, heading down to Killarney or Dingle, touring the... The post Arrive in Dublin, Depart from Shannon: Why to Consider this Itinerary Tweak appeared first on Ireland Family Vacations.

Dominic Pappalardo, chief multi-asset strategist for Morningstar Investment Management's Wealth group, discusses how trade talks over tariffs could ripple through the bond market and whether import taxes are the right move for Hollywood movies.Key Takeaways:What a Potential Trade Deal Between the US and UK Means for Market SentimentWhat Countries Need to Strike a Trade Deal to Calm Wall Street?What Persistent High Tariffs and Falling Imports From China Could Mean for the USHow Japan Moving Out of US Treasuries Could Rattle the Bond MarketHow Trump's Tariffs on International Movies Could Affect the Services SectorHow Tariff-Induced Market Volatility Affects the US Dollar's Strength GloballyHas Market Volatility Made the US a Risky Bet for Stock Investors?How Investors and Investment Managers Should Handle Market VolatilityWhat to Watch Before Trump's 90-Day Tariff Pause Ends Read about topics from this episode.  9 Charts on Trump's First 100 Days in the Markets 6 Charts on How Trump's Tariffs Have Upended Global Markets Q1 GDP Forecast to Show Sharp Slowdown as Imports Surge Ahead of Tariffs US-China Trade War Cause Us to Reduce Most US Independent Producers' Valuations by 2%-13% US Treasuries Sell Off as Trade War Calls Haven Status Into Question Dollar Hits 3-Year Low Against the Euro in Tariff Turmoil May 2025 US Stock Market Outlook: Eye of the Hurricane What to watch from Morningstar. Berkshire Hathaway's Annual Meeting Could Reveal Its Future PlansRetirees: Here's How to Tweak the 4% Rule to Protect Your Nest EggMarket Volatility: Which Investments Will Protect Your Portfolio in a Recession?Market Volatility: What Lies Ahead in Trump's Trade War Read what our team is writing:Dominic PappalardoIvanna Hampton Follow us on social media.Facebook: https://www.facebook.com/MorningstarInc/X: https://x.com/MorningstarIncInstagram: https://www.instagram.com/morningstar... LinkedIn: https://www.linkedin.com/company/5161/

This time we get to meet Jocelyn Sandstrom, my first podcast guest from Hawaii. Jocelyn was born and raised in Hawaii. Tt the urging of her mother, she took her first modeling job when she was sixteen. As she tells the story, she grew up quiet and pretty shy and she didn't have a great deal of confidence in herself. After high school, modeling became her full-time career. She says that the urging and support of her mother caused her to make some of the best decisions in her life. Modeling, she tells us, brought her out of herself. She traveled to 12 countries over a 20-year modeling career. She loved every minute of the experience.   In 2003 she began thinking that she wanted to help others deal with their confidence and career issues. By 2010 she decided that she was experiencing burnout as a model and changed to a coaching career that, in part, helped others to recognize burnout and deal with it. Jocelyn provides us with some good life pointers and lessons to help us change our mindset from the usual negative “I have to do this” to a more positive view “I get to do this”. I leave it to her to tell more.   Jocelyn does offer many insights I am sure you will appreciate. Over her 15-year coaching career she has become certified in several disciplines, and she uses them to teach her clients how to shift their careers to more positive and strong efforts going forward.       About the Guest:   Growing up in Hawaii, Jocelyn has lived and worked in 12 different countries. This experience has allowed her to realize that even though we may speak different languages or have different traditions, at our core, we are all the same. She has used this knowledge to help and support clients around the world in creating next-level success not just in their careers but in their personal lives as well.    Since 2010, she has been providing Quantum Energy Sessions and teaching Neuro-Linguistic Programming, Neurological Re-patterning, and the Millennium Method to clients globally. In 2022, she founded Wellness and Metaphysical, a community-driven platform that promotes a higher level of consciousness through expos and retreats.   Jocelyn's mindset and energy work have propelled her career, allowing her to work with leading global luxury brands like Louis Vuitton, Gucci, Fendi, Cartier, Tiffany & Co., Christian Louboutin, and Yves Saint Laurent, among others. She has been featured on the covers of Elle, Marie Claire, Esquire, Harper's Bazaar, and more. Alongside her husband, she has hosted two travel shows and appeared in various feature and short films. After creating a career beyond her wildest dreams through quantum manifestations, her passion is to now help others do the same, whether it's business, health, relationships, or any aspect of life.   Jocelyn specializes in helping clients release deep-rooted issues from their past that are holding them back. She supports clients in building not just success but also fulfillment at the same time because success without fulfillment is empty, leading to burnout and anxiety. She supports her clients to discover their authentic truth and share that with the world, magnetizing their energy to start attracting people and opportunities out of the blue, enabling them to fall in love with themselves and their life while creating more success than ever before!   Jocelyn is a certified:   Neuro-Linguistic Programing Advanced Practitioner + Teacher Neurological Re-patterning Practitioner + Teacher Ericksonian Hypnosis Practitioner + Teacher Millennium Method™ Practitioner + Teacher Yuen Method™ Practitioner Reiki Practitioner.   Ways to connect Jocelyn:   Instagram https://www.instagram.com/jocelynlukosandstrom/?hl=en Facebook https://www.facebook.com/jocelyn.lukosandstrom/ LinkedIn https://www.linkedin.com/in/jocelyn-luko-sandstrom-4789882a/  Website www.jocelynsandstrom.com   About the Host:   Michael Hingson is a New York Times best-selling author, international lecturer, and Chief Vision Officer for accessiBe. Michael, blind since birth, survived the 9/11 attacks with the help of his guide dog Roselle. This story is the subject of his best-selling book, Thunder Dog.   Michael gives over 100 presentations around the world each year speaking to influential groups such as Exxon Mobile, AT&T, Federal Express, Scripps College, Rutgers University, Children's Hospital, and the American Red Cross just to name a few. He is Ambassador for the National Braille Literacy Campaign for the National Federation of the Blind and also serves as Ambassador for the American Humane Association's 2012 Hero Dog Awards.   https://michaelhingson.com https://www.facebook.com/michael.hingson.author.speaker/ https://twitter.com/mhingson https://www.youtube.com/user/mhingson https://www.linkedin.com/in/michaelhingson/   accessiBe Links https://accessibe.com/ https://www.youtube.com/c/accessiBe https://www.linkedin.com/company/accessibe/mycompany/   https://www.facebook.com/accessibe/       Thanks for listening!   Thanks so much for listening to our podcast! If you enjoyed this episode and think that others could benefit from listening, please share it using the social media buttons on this page. Do you have some feedback or questions about this episode? Leave a comment in the section below!   Subscribe to the podcast   If you would like to get automatic updates of new podcast episodes, you can subscribe to the podcast on Apple Podcasts or Stitcher. You can subscribe in your favorite podcast app. You can also support our podcast through our tip jar https://tips.pinecast.com/jar/unstoppable-mindset .   Leave us an Apple Podcasts review   Ratings and reviews from our listeners are extremely valuable to us and greatly appreciated. They help our podcast rank higher on Apple Podcasts, which exposes our show to more awesome listeners like you. If you have a minute, please leave an honest review on Apple Podcasts.       Transcription Notes:   Michael Hingson ** 00:00 Access Cast and accessiBe Initiative presents Unstoppable Mindset. The podcast where inclusion, diversity and the unexpected meet. Hi, I'm Michael Hingson, Chief Vision Officer for accessiBe and the author of the number one New York Times bestselling book, Thunder dog, the story of a blind man, his guide dog and the triumph of trust. Thanks for joining me on my podcast as we explore our own blinding fears of inclusion unacceptance and our resistance to change. We will discover the idea that no matter the situation, or the people we encounter, our own fears, and prejudices often are our strongest barriers to moving forward. The unstoppable mindset podcast is sponsored by accessiBe, that's a c c e s s i capital B e. Visit www.accessibe.com to learn how you can make your website accessible for persons with disabilities. And to help make the internet fully inclusive by the year 2025. Glad you dropped by we're happy to meet you and to have you here with us.   Jocelyn Sandstrom ** 01:56 Thank you so much, and I do hope you come back again. It's such an honor to be on your podcast. Well, it's   Michael Hingson ** 02:02 been a while. It's only been 15 years since I've been there, and it is time to come back, but my wife passed away, and so it's kind of not nearly as fun to come alone, unless, unless I come and people keep me busy over there, but we'll figure it out.   Jocelyn Sandstrom ** 02:17 Yes, I'm so sorry about your wife, and if you want, I will show you around here.   Michael Hingson ** 02:24 Well, we'll have to make something happen. We'll just, we'll just do it. Yes, but I'm really glad that you're here. Um, Jocelyn is an interesting individual, and by any standard, she is a we're a neurological repatterning practitioner plus teacher. She has a lot of things. She does neuro linguistics. She is also a Reiki Master and practitioner, and just a number of things, and we're going to get to all of that, but I want to, again, welcome you and really glad that you're taking the time to be with us instead of being with clients, with all the things that you do.   Jocelyn Sandstrom ** 03:11 Thank you so much for your time. I love your podcast and everything, all the messages that you're bringing out onto the world.   Michael Hingson ** 03:17 Well, thank you. It has been a lot of fun to be able to do it and continue to do it, and we're having a lot of fun doing it, so I can't complain a whole lot about that. It's just a lot of fun. And I as I tell people, if I'm not learning at least as much as everybody else, then I'm not doing my job right. So I'm really glad that I get to learn so much from from people as well. Well, why don't we start, as I love to do, with learning about the early Jocelyn, growing up and all that sort of stuff.   Jocelyn Sandstrom ** 03:49 Well, I did grow up in Hawaii, and I, like every a lot of people, we went through a lot of growing pains. I had a lot that I did grow through, and it wasn't until I started my first contract overseas when I was 16 that life shifted for me, and I started to find my people and started to come into my own, get you know, transcending above the bullying and everything that happened in childhood. And then I lived overseas for about 20 years and moved home in 2016 to be with my family again.   Michael Hingson ** 04:29 So where did you live for those 20 years? I lived in   Jocelyn Sandstrom ** 04:31 12 different countries around the world. Um, I absolutely for me, it was I just loved exploring different cultures. It wasn't like going on vacation, to me, is amazing, but going to a place, living there, working with the people, learning the culture, learning the different ways that they work in, you know, speaking like the languages I only you know, spoke a very little bit of each language, just like taxi language, right? Um. And then just immersing into the culture, just the food tastes different in every place as well. Like it could be the same thing, but it just tastes different. Life is so different. And for me, that was my passion, really, to just immerse into different cultures, different parts of the world, different parts of me as well. Because every time I went to another country, I became a different person. There was another side of me that got ignited that I didn't even know was there. And so I got to not only discover myself, but I got to discover the world.   Michael Hingson ** 05:30 What made you go to so many different countries? What started all that?   Jocelyn Sandstrom ** 05:35 Well, I was modeling so I was able to do contracts in different countries. And so whenever I wanted to go to their country, I just contacted an agency there, and I got a contract and went and so basically, the world was my oyster. And I just said, Where do I desire to go next? And then Khan reached out. Instead of waiting for someone to come to me, I reached out to that, you know, to agencies over there and got a contract and went over. So I've never, once I started that. I've never been one to sit around and wait for things to kind of come to me. It's always been this is what I desire. So now let me go and create that to happen. And that's how I created my last career to be so successful. And there's so many things that I learned along the way that not only can you use that, but also to do it in a way that doesn't burn you out. And so that's my passion now, is to help people to build success and fulfillment, not just the success. Because I had burnt out pretty bad, and I in hindsight, if I had done it differently, I probably could have built it even bigger without the burnout. And so that's my passion now, and that's how I built this career, is through that fulfillment and success at the same time, so that it's so fulfilling, as well as creating next level results.   Michael Hingson ** 06:59 Did you go to college? Or did you go from high school into modeling?   Jocelyn Sandstrom ** 07:03 I went straight in. What   Michael Hingson ** 07:06 started you with that? My   Jocelyn Sandstrom ** 07:08 mom, of course, it's always your mom, right? Of course, because I was very shy, and like I said, I went through a lot growing up, through bullying and all of this. So for me, it was like the best blessing that's ever happened. For me, I was very scared, but I knew that I wanted to explore and try, and it brought me out of my shell. It brought me to my people. It was the first time that, you know, people like, wanted to hear what I had to say, really, like, they were fascinated. And I was like, what, you know, and again, again, what I realized, now after all this time, is I had a perception growing up here in Hawaii, so necessarily, I've been finding out that not people did not have that same perception that I had about myself. I realized I was almost the one that was not coming out of my shell fully, and therefore it was hard to connect, I think, and people have a different perception of me. So looking back on my childhood now, when I say bullying, yes, there was bullying and there was, you know, but overall, there were also things that I perceived in a way that wasn't necessarily true for other people, because I would run into them and they'd remember me, and they'd have remember a different version of me, and I'd be like, it's, you know? And so I realize now how much I actually also held my back, held myself back, and, yeah, well,   Michael Hingson ** 08:39 did that affect your modeling career, because I would think as a model, you'd have to be reasonably outgoing and be able to work in a variety of different kinds of situations.   Jocelyn Sandstrom ** 08:49 I think it was what helped me to be resilient growing up through the hardships of what I went through, you know, with relationships and everything. That's what got me to be resilient, to stick it out. Because not everybody does stick it out. Because there is a ton of rejection, there is a ton there is a ton of things that you're going through at a very young age. My first contract was when I was 16 in high school during the summer, and so to be able to handle obviously, you know, there's a lot of not so nice things in the industry as well, too. So to be able to handle that, I think that came from everything that I grew through as a child, as well as my mom's support, because she was the one, the one thing that was stable throughout my life, where I would always call her, because I was living in so many different countries, I think you know, she was my best friend, and so that, and living in all those different countries helping me to be so resilient, is what Korea helped me to create this business to be so success, successful as well,   Michael Hingson ** 09:55 what some of the countries that you stayed in went to, well, some. Of   Jocelyn Sandstrom ** 10:00 my favorite I started in Tokyo, and then I went to Korea, Sydney, Milan, Hamburg, London. I did live in New York for a little while, Taiwan, China, you know, like, there's so many different places. Like, some of my favorites definitely were Tokyo, because that was and Hong Kong was where I spent most of my time at the end. And I, of course, loved Milan and Sydney as well as London as well too. And of course, New York is just Memphis.   Michael Hingson ** 10:33 I enjoy Tokyo. I've been to Japan twice, not for long periods. Well, the second time, actually, I guess the third time I've been there three times, and the last time was when we did work with the Japanese publisher of my first book, Thunder dog. And we were there for almost two weeks. It was a lot of fun, but mostly I spent time around Tokyo until thunder dog, and then we were all over Japan. But it was very enjoyable. What I really remember the first time I went to Japan. We were over there about four days, I tried to eat very healthy, um, although I had ice cream with every meal, because they insisted, and all that, when I came back, I had lost my pal. I can't believe it. Wow. I know that didn't happen the second and third time, but I didn't gain weight either, so it's okay, but I really enjoyed Japan. I've been to Korea. Enjoyed that as well. Not been to Australia. I'm still want to go. I've been to New Zealand, but not Australia. Yeah.   Jocelyn Sandstrom ** 11:36 Australia is an amazing place, the people, the food, just the lifestyle,   Michael Hingson ** 11:43 yeah, yeah. And it is, of course, so different because it's on the other side of the equator. So right now they're getting into their summer season.   Speaker 1 ** 11:52 Yes, yes, absolutely. So it's pretty   Michael Hingson ** 11:55 cool. Was your mama model? Is that what got you guys to get you into it or No, no, she just, she just thought it was good for you,   Jocelyn Sandstrom ** 12:04 huh? Yeah, exactly. And thank goodness she did, because, honestly, it was the thing that got me out of my shell. It like for me to go and live in Tokyo when I was 16 during the summer. It showed me that high school wasn't everything, because I was so consumed by, you know, school kids and the cool kids and not being cool and all of those things. And when I went over there, I realized, wow, there is a whole other world outside of this. And it completely changed my life. And so when I came back, I didn't relate to everybody in the same way. I wasn't so consumed with everything, because I knew what was waiting for me. I knew that there was so much more to explore and to experience. So it really was the thing that completely changed my life, and I will always be grateful for that on how it allowed me to grow and through the years, I grew through that. Like each contract I did, I grew, I stretched myself, each country that I went to, where I didn't know anybody except for the agency, and lived, you know, with new people, and had a map that they would give you, and you'd have to go and find your castings on your own, before we had Google Maps, using a paper map, and just, you know, walking down the street and looking for the places like it just stretched me in so many beautiful ways. And I wish everyone could go through that experience. Because when you put yourself into places where you stretch, you just you access the strength that's actually within you. It's just compounding your resilience and your power and your knowing within yourself, and that's what makes you unstoppable. When you know you can do all those things and you've done all those things, the next step is that much easier because you've already done it.   Michael Hingson ** 13:56 Yeah, um, there's so many ways of stretching and growing. I was just reading an email from someone I'm the vice president on the board of directors of the Colorado Center for the Blind, which is a training center that teaches newly blinded people or people who are losing their eyesight, teaching them blindness techniques and teaching them that blindness isn't the problem. It's really our attitudes about it. And one of the things, if you go to the center and take advantage of the full residential program, one of the last things that you have to do is you are dropped off somewhere within some sort of walking distance of the agency itself. But that could be a couple miles Well, it may not even be just a couple miles away. It may be that you're further, but you have to figure out where you are and get back to the center. And you can only ask one question of the public, so it's all about you learning to use your wit, your wits, and people do it all the time, right? Awesome, and it's so cool me, and so I really relate very much to what you're talking about, as far as how you learned to stretch and grow with all the modeling and being in all those foreign countries and having to learn to live there.   Jocelyn Sandstrom ** 15:13 Yeah, that's so powerful. That's so amazing. What you're what you've done, and your story is so inspiring and so powerful.   Michael Hingson ** 15:21 Well, I I never did go to that center, and so I never actually, directly was subjected to that. However, with all the traveling that I've done around the world, I've had to essentially do the same thing, so I know what you're talking about, and it's so exhilarating when you figure it out, right? Yes,   Jocelyn Sandstrom ** 15:41 it is, and and that's why we're here. We're here to experience all those things, because if not, it would just be so boring. And so one of the things that I always, you know, remind myself and my clients, is that, you know, we may be in a place that's crunchy and doesn't feel great, but we're growing through it. And when we do grow through it, the feeling of getting on the other side is what why we why we do it. And once we get to the other side, or let's say you're climbing a mountain, and you get to the top of the mountain, you don't want to just sit at the top of the mountain. You want to climb another mountain, because it's the journey. That's the thing that we enjoy. And so when we embrace the journey, not only do we get to where we desire to go, to feel that feeling of like accomplishment, but also we get to enjoy the journey instead of just trying to rush through it to get there.   Michael Hingson ** 16:38 I somewhere in my life, probably when I was fairly young, decided, although I didn't articulate it for a while, but decided that life is an adventure, and wherever we go, we can find very positive things. And I have never found a place that I hated, that I didn't like to go to. I've been all over this country and and I have eaten some some pretty unhealthy food in places, very deep fried kinds of things and so on. But I've also found ways to enjoy some of it, although I tried to eat as little of the bad food, if you will, that's high in cholesterol and so on. I've tried to eat as little of that as possible. But I've enjoyed everywhere I have been. I've been been to all 50 states, had a lot of fun in every place where I've been, and wouldn't trade any of those experiences for anything, much less traveling to a variety of other countries. Mm hmm, so it's a lot of fun to, you know, to do, but life is an adventure, and we should approach it that way. Mm   Jocelyn Sandstrom ** 17:40 hmm, yeah, absolutely. And when we do approach it that way, we enjoy it so much more, because I used to always avoid making a mistake or things going wrong or get so frustrated that it wasn't wrong or that it wasn't going well. But now I I lean into those things, and it's those things that make life interesting. It's those things like the mistakes that I make, I grow more from those mistakes than from anything else. And through the hardships that I've been through, I've grown so much from those as well, too. And so when we lean into the journey and just know that there is no good, bad, right, wrong, it's just the experience of what it is. We live in a completely different way, and we can like I was telling my clients in one of the webinars I was running the other day that my husband and I had read the book celestian prophecy. And so he goes on a journey, and he doesn't plan anything. He just shows up and he listens to, you know, synchronicities, and he kind of goes with that. And so when we went to Jordan, we did the same thing. We're like, you know what, let's just go play. Let's go play and have no plan, and just arrive and discover what we're gonna do. And so we did that. And then we ended up, you know, meeting this one tour company, and ended up booking them, but it ended up turning out that they weren't the best, and we kind of got ripped off. But the driver that they hired was amazing, and he gave us like these special tours and things because he felt bad that we did get ripped off. And so the thing that looked like it was something bad actually was a blessing, and ended up turning out into this most incredible trip. And so when we make these so called wrong decisions, and we realize that it's not wrong, that it's leading us to something better, we don't have to get upset about it, like we weren't upset that that happened. We were just on the journey and the adventure of it, and that actually turned out to be one of our most incredible trips.   Michael Hingson ** 19:38 One of the things that I have learned and talked about on this podcast occasionally is that there's no such thing as failure their learning experiences. And I like what you just said, because it isn't that they're something that goes wrong. It happened the way it did. And the question is, what did we learn from it? And I'll bet that that driver. I would never have done those special things for you if you had treated him differently and treated him in a in a negative way.   Jocelyn Sandstrom ** 20:08 Mm, hmm, yeah, if we were grumpy and angry, he would have said, Okay, well, too bad for you guys. Yeah,   Michael Hingson ** 20:15 yeah, forget you guys. Exactly. Yeah, absolutely. Well. You modeled for you said 20 years, right? Yes. And what made you decided that you wanted to give that up.   Jocelyn Sandstrom ** 20:29 So I actually started doing wellness in 2003 when my mom got sick, and that's when my whole world shifted. That's when I wanted to find a natural way to help her, to support her, and that's how I started doing neurological repatterning, neuro linguistic programming and Ericksonian hypnosis. Then I went into quantum physics based energy work, and was able to help her and the at the same time, I was working on my career and both her getting, you know, her recovering and getting stronger, and my career taking off, I thought, oh my gosh, like I want to help people do this. I don't want to just use it for myself. I want to help other people do this. So I actually started while I was still modeling, simultaneously teaching and doing sessions for clients, since 2010 and so I've been doing this since then, and now it's, I just want to do it full time. It's just, it's just so fulfilling to be able to support clients through shifts, to create things beyond their wildest dreams, to open up the ease and the flow, to remove the burnout to, you know, to know that anything is possible and that we create our reality, we get to create we, you know, like we're creating an abundance of things every single moment of every single day based on our thoughts. And so we can create an abundance of lack, or we can create an abundance of, you know, happiness and and it's really just not letting anything take our power. So one of the things that shifted in my life as well, too, was when I was able to not let anything ruin my day, not let anyone or anything ruin my day, not that things that weren't going my way ruin my day. I was just gonna say, Okay, well, this is going on. It's happening for me. So now what do I get to do with this? How do I get to transmute this? How do I turn it into something good, or turn it into my superpower? By practicing neutrality, practicing not reacting and creating more fallout that needs to happen. And so whenever things don't go my way. I don't get frustrated about it anymore. I know that it's an opportunity, opportunity for me to practice a new way of being or new way of thinking. And there was one day where everything was just going so wrong, like from the beginning, like big things too, and I didn't let it take my happiness away, and I didn't let myself get down by it. I was like, Well, what can I do instead? How can I transmute this? How can I like when I missed my yoga class, and I'm like, I'm just gonna go home and I'm gonna do it by myself. Nothing is gonna stop me. This is what I desire to do. And that was my, like, favorite day ever. I felt amazing. I got home after the day of all the things that didn't work out, like almost losing a $2,500 camera lens, and by the end of the day, just feeling so good about it. And my son was saying to me, Okay, I'm gonna go check the mailbox. And he went to go check the mailbox. And at the end of the day, after me not letting anything take my freedom. An electric bill came and we opened it up, but it wasn't a bill. It was a refund for $7,200 for some PV panels that we had purchased that we didn't know we were going to be getting a rebate for. And it just showed me that nothing can take my joy, and because of that, I'm not going to slow down the good things that are on their way to me, either. And so it just opens it up. And from that point on there I don't have bad days. I transmute them,   Michael Hingson ** 24:10 yeah? Which? Which is what we all can do, yeah. So how do you transmute them? Though? What? How do you really do that?   Jocelyn Sandstrom ** 24:19 Well, the one thing that really helps me is realizing that everything is happening for me, everything like everything is happening for me, to help me to learn, to help me to grow, to help me to create my next level of success. And if I look at it that way, I'm not the victim. But if I look at it as the victim like it's happening to me, I have no power. I've given my power to the situation, but if I know that it's happening for me and that I'm unstoppable and I'm resilient and I'm always going to find a way, because I'm never going to give up. So for instance, with that camera lens, I ordered a camera lens that Best Buy was meant to ship me, and I called them because it was a. A week. And they said, Oh, it looks like you actually picked it up from the store. So no one shipping you anything. You got the product already. And I said, No, I didn't there. It was out of stock, and the person that I bought it from ordered it to be shipped to my house. And they said, well, there's nothing we can do on my end. On their end, I have to go to the shop, find the person who sold it to me and talked to them, and so the old me would have reacted, freaked out, created all this necessary Fallout, gone in angry, but now I was like, You know what? It's going to work out. Somehow it's going to work out. I don't know how it's going to work out, but the more calm and neutral I am, the more that I just let it flow, instead of react to this. Somehow it's just going to work out. And if it doesn't, it's just money. Like, it's not my life, it's not the end of the world, it's just money, and I can make more money. And so when I approached it that way, and I went in to talk to them, I wasn't guns blazing, I wasn't, you know, angry, I just came in and I was like, hey, you know, this is a situation. I was wondering if you could help me. And somehow, magically, they were just like, oh yeah, no problem. I can see it. There's an issue, and we'll send you a new one. And then it arrived in a couple days. And so a lot of times it's our reaction that causes the issues. But if you know, sorry, no, go ahead. I was just going to say, if we know that, it's going to work out somehow, because we're never going to give up, nothing is going to break us. Then somehow, magically, it always does.   Michael Hingson ** 26:25 Did they or you have to figure out exactly what really did happen?   Jocelyn Sandstrom ** 26:31 Nope. And to me, it doesn't really matter, because as long as it works out, I'm just, I'm always taking the next step. I'm always, if something, you know, like I in the beginning, I would launch programs and no one would show up, and it wouldn't matter, I would just keep launching. Or, you know, I heard this one story that completely inspired me about Anthony Robbins, when he first started doing his programs, and he sold his first program out, he rented the the call for it, and not one person bought but it didn't stop him. He said to his four friends, Hey, can I pay you with pizza and soda so that you could sit here for four days so I could teach you my program? Because he knew where he was going, nothing was going to stop him. And so I do the same thing, like I sold a master class here in Hawaii, and most of my networks online. And so one person had showed up, signed up, and I was like, Okay, so maybe do I cancel this? But I just really felt like there was something that was going to happen. If I just teach it, it's going to stretch me, it's going to do something. I just kept showing up and selling it every single day, trying different ways of selling it, not out of scarcity, but out of okay, well, this is the universe or something giving me an opportunity to play, to practice, selling, to have fun with it. And so I did. And you know, the day of, there was still only two people that were going to be there, and I thought, maybe I should cancel it, because I'm going to look like a failure. But then I thought, I don't care what I don't care what people think. If I'm a failure or not, the only part of me that will be bruised is my ego, but I know that I'm so much more than that, and if Anthony Robbins can do that, I can do that. So I'm going to show up and I'm going to teach these people just as powerfully as if there was 100 people there. And so I showed up, and at first nobody was there, and I didn't care, because I didn't care anymore. I knew where I was going to build, but there is traffic and stuff, and then finally, by the end of it, nine people showed up out of the blue, and it was the one of the most amazing master classes that I taught, because I taught it in this new way of thinking, where I had I had overcome my fears of my ego, of failure and people what people Were going to think, because I knew where I was going. I was inspired by Anthony Robbins doing that. And if he can do that and build that, I can do that, you know what I mean. So   Michael Hingson ** 28:50 I do, yeah, I I'm a nosy person, and I would have wanted to try to find out what happened with the with the lens. And the reason I'd want to find out is not to fix blame or anything, but because I figured that's a learning experience too. And I have, I've had situations where it worked out whatever it was, but then I went back and asked, now, how come this happened? And when I and the other people involved figured it out, we all learned from it. But again, it's all about, as you said, not going in with guns blazing. It's not a fixing blame. Yeah, it's really all about understanding, and I think that's the most important thing. So this is all about the fact that you adopted a mindset and you decided that you're going to live that mindset, which makes a lot of sense. Mm, hmm,   Jocelyn Sandstrom ** 29:50 yeah, it to me. It's all mindset, because nothing is real until you create a story around it, which is why eyewitness, eyewitnesses are. Not reliable sources, because you could have the same situation happen, and people will see different thing Bay things based on the reality that they're looking for. And you know, I've even talking to my brother about childhood memories that are completely different, and I'm like, no so and so didn't say it. This person said it, and this is what happened, and in and he fully has a real, real, real memory of it happening in a completely different way. And so it's just really something happens, and we put a meaning and we put a story on it. And so whatever meaning and story you put on it determines the outcome. And so only thing we can control is the meaning and story that we put on it. So do we want to put a meaning and story that empowers us, or do we want to put a meaning and story that makes us not feel so good? And that's also the other thing that shifted in my life.   Michael Hingson ** 30:51 Yeah, it's all about now, ultimately, you're your own best teacher, and you can empower yourself. Yes. Yes, yes, absolutely. So I am not familiar with but would love to learn what is Ericksonian hypnosis.   Jocelyn Sandstrom ** 31:07 It's just a type of hypnosis, a different style of how you bring somebody down into the the hypnotic state screen, and then you, then you do programming while they're down in the hypnotic but, yeah, it's just a there's, there's multiple different types of hypnosis, and so that's just one of the types. Yeah,   Michael Hingson ** 31:31 I just never heard of of that particular one. I'm familiar with hypnosis and so on, but I wasn't familiar with Eric Sony, and didn't know whether there was something uniquely interesting about that.   Jocelyn Sandstrom ** 31:42 No, I think it's just the the style got it well,   Michael Hingson ** 31:47 you know, one of the things that we deal with people in general, in general, is we put a lot of our own limitations on ourselves, especially where we don't need to do that. How do we transcend or overcome limitations. One   Jocelyn Sandstrom ** 32:02 of the way to do that is to recognize how powerful we are and how powerful our minds are. So a lot of people say that they can't trust, but they trust that they can't trust. They say that they're not confident, but they're confident that they're not confident, a that they don't create their own reality, and so that belief creates the reality that they don't create that reality, right? And so it's just about looking at the beliefs and saying, Do I want to hold on to this story? So a lot of people will come and say, This always happens to me, and I'll ask them, and does it always happen? And they say, No, it doesn't always happen, but this happened, this happened. This happened, this happened. And we'll say, okay, great. You're really good at validating that story. Do you want to keep validating that story, or do you want to start validating the times that it didn't happen? And it goes back to that red car theory, like, if you're driving on the road, how many red cars do you notice that day, versus if you were driving on the road looking for the red cars? How many red cars would you actually notice? And so what are you looking for? Because we're bombarded with billions of bits of information every single second, but we can only take like plus or minus seven every single second based on what we're looking for. So if we're looking for a red car, in reality, we're going to find that red car. If we're looking for a blue car, we're going to find that blue car. So what story are you telling yourself that's no longer serving you, and what story would you desire to tell yourself instead? And I'll give you an example for me, I used to have this belief that I could make a lot of money, but I couldn't hold on to it, because every time I would make the big amount of money, I'd get hit with a bill, or a pipe would burst, or something would happen. And so I kept telling that story, and I recognized that doesn't always happen. Big money's come in and it didn't go out immediately, but I didn't think about those times because I was validating the other story. So once I recognized that, I said, Okay, I'm not going to validate that other story anymore. I'm going to validate the times when I make big money and more money comes in, so that I can then have this belief that I'm building generational wealth. And that's when my finances changed and I started building generational wealth, right? It it's what we're looking for that we are then going to compound over and over and over again.   Michael Hingson ** 34:28 Yeah, again, it's back to mindset. Yes,   Jocelyn Sandstrom ** 34:32 it's always back to mindset.   Michael Hingson ** 34:36 That's fair. So you talked about, among other things, dealing with quantum physics and so on. Tell me about quantum leaps. So   Jocelyn Sandstrom ** 34:43 quantum leaps to me a book. If you've never read this book, it's amazing. It's it's a really thin book called u squared, and the beginning of the book starts out with this fly that's beating its head against the window pane over and over and over again, trying to get out. So. When all it had to do was stop, fly back, look for the door, and fly out of the door. And so that's basically what I was doing. I was like beating my head, trying to force, trying to make these things work, pushing myself to do things that all the shoulds and the have tos, instead of taking a step back, listening to my own knowing my gut, my intuition, my truth, and then that truth being the door that's going to guide me to, you know, where I'm going. The other piece of that is I looked back on my last career, and I saw it from a whole other perspective. I thought it was from all of that pushing, forcing, all of those things, but in hindsight, when I look at it, it was the moments that I was in alignment, trusting my gut, following my intuition, doing the thing that then all of a sudden, out of the blue, this person dropped into my life, or this opportunity dropped into my life, which then quantum leads me into whole new reality. So the first time I ever wanted to teach bank like, corporate workshops, any type of corporate workshops. I knew that I wanted to teach corporate workshops, and so I started, you know, to develop a plan to figure out, like, what kind of corporations would I like to work with to help them to take everything to the next level, to help people to build success and fulfillment at the same time. And I started to think about it, and started to write a few things, and then all of a sudden, out of the blue, I met this CEO, and was starting to talk to him, and he said, Yeah, that would be awesome. Send me a proposal. So I wrote a proposal, and then they loved it, and I did my first corporate workshop. Now to me, that's a quantum leap. It was me being in alignment, knowing where I wanted to go, reprogramming my fears and my doubts. Because at first I'm like, why would a corporation take me seriously? Are they going to think that this stuff is too crazy, too out there? So I had to reprogram myself from those beliefs so that I could actually become the person that could teach the program. And once I reprogrammed all of that, then that person showed up. And because they showed up, I quantum leaped into that reality. Because otherwise I would have had to finish writing the proposal call all the corporate companies that I would want to work with, try and find the person that I wanted to speak with. You know, pitch my proposal to, who knows how many people to then hopefully get my first one. But for me, it was getting in alignment, reprogramming all the beliefs that I wasn't good enough for, then that person to drop in, and then all of a sudden, just start doing workshops. And that's basically how my career, my last career, and this career built. If you look back on your life, it's those moments that things happened, that dropped in, that ended up taking you into a different reality, like those chance encounters, or those chance things that would have happened, right? So it's how do we get in such alignment and reprogram the beliefs that are getting in the way so we could have more of those out of the blue opportunities dropping in faster.   Michael Hingson ** 38:01 It goes back to that same issue of looking for the red car. If you're looking for the red car, yes, you will see it. If you're looking to be able to do the corporate workshops, and you think about what you need to do to make it happen, recognizing that you're good enough, it will happen.   Jocelyn Sandstrom ** 38:20 Yes, exactly. But most of us never think that. Like, my whole life, I never thought I was good enough, you know. So it was always so much proving pleasing. You know, there's the imposter syndrome of somebody that wants to write a book, but then they're saying, Well, you know, who am I to write a book? But all the people that wrote a book never wrote a book until they wrote their first book, yeah, and so it's just just like letting go of the pressure and the expectation and just, I desire to write a book, so I'm going to write a book and I'm going to put it out in there in the world like everybody else did, every single author like you and your book, you wrote the book. That's the only difference from the people that wrote the book and didn't write the book is that you wrote the book, and you put your passion into it, and then it became, you know, such a massive life changing thing for you and so many people that read that book to hear your story well.   Michael Hingson ** 39:12 And now there are three, which is, which is fun, and you know what? Live like a guide dog. It it really goes along very well with the kinds of things you're talking about, because one of the things that we we advise and try to teach and live like a guide dog, is all about doing self analysis, looking at your your day, every day, at the end of the day, what, what worked, what didn't work, even the stuff that worked, what way might we have done to make it better? And the stuff that didn't work again, not a failure, but rather, what happened, and how do we learn from it so that won't happen again? And the reality is that at the end of the day, when we're falling asleep, we're. We have the time to do that if we really do introspection and and choose to do it. But again, it's a choice, and it's adopting the mindset that says we can do that, and it will help to increase, if you will, the mind muscle. And ultimately, the more of it we do, the less we'll fear about life. Mm,   Jocelyn Sandstrom ** 40:22 hmm, yes, yes. Because the fear comes from us thinking that we're not going to be able to get through it, that it's going to be so painful, that we're not going to be able to handle it, we're going to be so afraid of the disappointment. And so we don't take the leaps and we get and we just live in fear. But when we recognize our power through knowing that we get to harvest the learnings and that we're going to transmute it. We're going to get through it. We're going to turn it into our superpower. We're going to get stronger all the things we've done in the past, we've already we've gotten through so of course, we're going to get through the next thing. So when you know that you have that power to, like you said, go through the day and say what worked and what doesn't work, and how to make it better the next time, you don't have as much fear of the unknown, because you know you're going to get through it just like you did every other time. Yeah,   Michael Hingson ** 41:12 and you have to make the decision that it'll work,   Jocelyn Sandstrom ** 41:20 and then you have to make the decision to not beat yourself up,   Michael Hingson ** 41:22 because then you have the decision to not beat yourself up, right? Yeah, because pain   Jocelyn Sandstrom ** 41:27 is inevitable, but suffering is something we create by the story we tell ourselves over and over and over again about the pain. And so if we know that, we're not going to beat ourselves up and create it to be suffering, we're not going to be as scared to take that next leap, because we know we'll get through the pain, and we're not going to turn it into suffering, right?   Michael Hingson ** 41:48 And we know that the pain is there to send us a signal, and we need to learn from that signal. Yes, so much. Yes,   Jocelyn Sandstrom ** 41:59 I love that.   Michael Hingson ** 42:02 So tell me, what is the difference between creating and achieving? Because I think that there, there really is a difference, and we're talking about both of those here in various ways.   Jocelyn Sandstrom ** 42:14 Yes. So creating is this playfulness. It's like this is what I desire to create. I know where I want to go. I know this goal that I want to do, and I'm going to create on this journey. I'm going to climb this mountain, and I'm going to take this step every day, and I'm going to enjoy the process of it and look at the flowers, and, you know, maybe hang by the lake for a day and then continue to go up there. But achieving is just achieving is proving pleasing. Achieving, right? It's like, I gotta get to the top of this mountain to prove that I've done this to achieve this thing. And so you rush through the journey. And that's where burnout comes from. So I don't think burnout comes from doing burnout comes from who you are when you're doing it, if you're doing the things, like when I'm doing the things out of creation, and because I love doing it, and because I desire to help people and support people, and bring this into reality, I'm having so much fun doing it, but if I'm doing it to achieve these results, if I'm doing it, because if I don't achieve these results, there's something wrong with me, or I'm a failure, or I'm not good enough, my business isn't good enough, And I'm being judged, and I care about other people's judgments, I will be burnt out, because I'm going to push and I, you know, there's so much emotion and exhaustion around the achieving, and then you're constantly just chasing that carrot, and the carrot always moves, because every time you achieve it, you want to climb the next mountain. And so you don't ever get that fulfillment, because then you're just going to go on to the next thing, and the next thing, and the next thing is what I did in my last career. I just kept chasing. Kept saying, I'm going to reach this goal, and I reached that goal, and I'm like, Oh no, I don't have this one. There was, there was no fulfillment on the inside, and it was exhausting.   Michael Hingson ** 43:56 Well, you know, I hear often that people who really like what they do have discovered that it's not a job because they just enjoy doing it so much and and that's ultimately what you're really saying, is it's not a job, and I agree with that. It's we need to decide that we like what we do, and if we truly don't like it, then we should be doing it, or we should look at why we don't like it and deal with that, because it is worth doing. Yes,   Jocelyn Sandstrom ** 44:29 that is a great example, because when I was building this business, I did a lot of freelance work, and in the beginning I did I did the freelance work so I would have predictable money so that I could build this business the way that I desired to build it, so I wouldn't compromise myself. I wouldn't do it because I just need clients to pay the bills and all of these things. It was my passion project, and so I did the freelance work so I had predictable money to be able to pay my bills. And then this was pure creation of what i. Desired to bring to the world, and how I desired to help my clients. And at first, when I was doing these freelance jobs, I'd be so frustrated while I was there, because I'd be like, Oh, I'm here making this money. And I'm so frustrated because I could be working on my business right now, and I could be making the business grow, but I need this money, right? And my mindset turned it into, every time I did that work, you would just drain me. I'd be I'd leave so exhausted, and then I would go home and not have time to work on my other business because I didn't have energy. Until I recognized this is my choice. How lucky am I that I have this freelance job that I get to do that's bringing in this predictable money so that I get to build my dream business. How grateful I am for this freelance work, that I have this opportunity to work these amount of hours and get paid so well, so that I could build my dream business. So I showed up to those jobs in a different energy. I showed up with pure gratitude that I have that that I get to show up to this job and I'm and to do my best job, because they're giving me this opportunity to build this business. And when I did that, not only did I have more energy, that job started to become really easy, like so before, there was always fires to put out, and there was always drama and everything. But after, I shifted this mindset to gratitude. And I started to just say, How can I serve? How can I be here and be my best self, because I'm grateful for this job. Then all of a sudden I would come on shift, and everything would just work. And like, the dramas would go away, the fires would go away, things would be easy. And then some of the other people would say, I want to be on Jocelyn shift, because whenever she shows up, it's like easy, but that was from gratitude. That was from gratitude, from showing up, you know, wanting to serve. And it shifted my reality. And then I had all this energy, because I felt so good. And sometimes we'd finish early. A lot of times we'd finish early, or the job would be so easy that when I came home, I had energy to work on my business. And then that's how I shifted my business. So it's really the it's not what we do, it's who we are when we're doing it. What are we feeling on the inside that we're then projecting out, that people are then responding to   Michael Hingson ** 47:14 and and the reality is, some of the fires may have still been there, but they're not fires anymore,   Jocelyn Sandstrom ** 47:21 yes, yes, exactly, exactly, because I perceive them in a different way,   Michael Hingson ** 47:27 right? Exactly, which is the whole point?   47:30 Yes, yes, I love that. So   Michael Hingson ** 47:33 how do we get people to recognize when they're experiencing burnout, much less. How do we get them to change their mindset, to eliminate the burnout process?   Jocelyn Sandstrom ** 47:49 It just comes from their choice. It comes from their choice to to decide how they desire to see it. So, I mean, a lot of it, too comes from reprogramming. So, I mean, that's what I do in my programs, right? Is that if there are with burnout, we just discover where is it coming from? Like, is it coming from the pushing, the pleasing, achieving, the not being good enough, the worried what people are going to think, the failure, like all the stuff, the hoping that it's going to work out, afraid that it's not going to work out, because that's all the stuff that we leak our energy to. Once we discover what that is and we reprogram it so you don't have that you can just do it as a task. You show up and you do a task. One of my NLP teachers told me something that was so powerful, which was he said that the best, best basketball player in the world also has the highest amount of missed shots in the world, and that's why he's the best basketball player, because he just takes the shot. He doesn't beat himself up every single time he takes the shot. He's just taking a shot and a shot and a shot and a shot and a shot. He's playing to win. He's not playing not to lose. And so there's a difference in that energy. And so once you discover what that is, you get to then shift your mindset. So we it's very it's, it's quite easy to kind of find where the triggers are coming from. It's like, where are you getting pissed off? Where are you getting frustrated? Right? Like, those are the triggers. Then it's about, how do we then remove the triggers with whatever tool that you have, with mindset, with reprogramming, with hypnosis, with quantum physics, like whatever it's going to be, podcasts, listening to these things to come up with a new story, and then the resilience to create that new story to be your new story. So every time it doesn't go the way that you had planned, not getting caught up in saying, Oh, see it happened again, saying, okay, oh well, I'm not fully in that new programming yet, and so it's still showing up a little bit. But how do I harvest the learnings? And then how do I pivot? And then how do I do something different? And you just keep doing that until your reality eventually shifts. This   Michael Hingson ** 49:56 is so freaky. The other day, it was like yesterday, or. Monday or Sunday. I can't remember which day, but I was thinking about basketball players and some of the really famous, good basketball players, and thinking, why are they such horrible free throw shooters? And why are they in a in a sense, why is there a percentage what it is, and I came to the same conclusion that you talked about, but it's just kind of funny that the discussion in my brain was there and now, here it is again. But it's true. It's all about being willing to take the shot and   Jocelyn Sandstrom ** 50:34 just taking the shot and not putting the meaning on it. It's when we put the meaning on it that it exhausts us. If you think about taking a shot, it's fine, but the minute you think about taking the shot, but hoping you're going to make it or not going to make it, because what are people going to think and what is that going to mean about you, and all that other stuff, all of a sudden it becomes a big ball of energy that you're leaking instead of I'm just taking the shot, because I know I'm going to get in, I'm going to get one in. So the more shots I take, you know, like Disney, he got rejected 33 times before the 34th time he got the loan. But if he just every single time, like, you know, gave up, we would not have what we have. But he just kept going in and doing it. And if you know that on the 34th time you're going to get accepted. How fast would you keep going back to banks and saying, Hey, until you get the loan right?   Michael Hingson ** 51:27 Well, and the issue with the shots, every time you take a shot and miss, if you're taking the shot, to continue to take the shot, as opposed to this one has to be the one to go in. You're also, I think, subconsciously, studying, well, why didn't that shot go in? What do I learn? Because this shot didn't go in, or the next one goes in, why did that one go in? What do I do to replicate that and become more effective?   Jocelyn Sandstrom ** 52:00 Yeah. How do I harvest the learnings and pivot and do it better next time? Yeah? And if you just focus on the solution versus the problem, you'll get there, right? Yeah, okay, well, and the more that you get it in, you know what that feels like. So you get to replicate that again next time, right? And the more that you don't, then you find, like Edison said, he found 1000 he didn't fail. He found 1000 different ways how not to   Michael Hingson ** 52:28 do something right.   52:30 Exactly.   Michael Hingson ** 52:33 You know it is, it is so true, and it's all about that's why I continue to say there's no such thing as failure. The other thing I used to say about myself because I like to listen to my speeches. I record them and listen to them, and I do it because I want to learn what what worked, what didn't work. How can I do this better? And I always used to say, I'm my own worst critic. But I always thought that was a negative sort of thing, and literally only within about the last 14 or 15 months have I started to say, in reality, I'm my own best teacher. It's a much more positive and open way of doing it, and it makes listening all that much more fun and exciting. By the way,   Jocelyn Sandstrom ** 53:14 I love that, and that's the creating versus achieving, right? Like, that's the different energy. Tweak that when you're doing it now you enjoy it versus before you were beating yourself up, right,   Michael Hingson ** 53:26 right? Very much. So yeah, and that's, of course, the issue. So you, you've you continue to celebrate the fact that you were a model, and now you've gone on to a different life, and you're continuing to create and enhance that life. How do you how do you deal with both of those lives? You You really have adopted this celebration right across the board? I think,   Jocelyn Sandstrom ** 53:57 yeah, I don't see it as different parts of, I mean, I just see them all as different, like, it's just a different   Michael Hingson ** 54:04 chapter. It's progressing, right? Yeah, and that's what I thought after   Jocelyn Sandstrom ** 54:07 was each chapter was exactly what it was, and it was so amazing, and I and, and the next chapter gets to be more amazing, and the next chapter gets to be more amazing, and because it's an evolution over your entire lifetime. And so you just keep evolving. You know, there's a post out there about, I can't remember the ages, but like all these people that open businesses in their 40s, their 50s, their 60s, Walmart and, you know, Kentucky Fried Chicken, and all these different companies that didn't actually like they didn't create it. They tried. They were creating things, but it didn't hit until later in the years. And most people think, Oh, we get to this age, we retire. We're done. But that's not true. We get to keep creating our entire life. We get to keep evolving our entire life. We get to keep climbing more mountains. I've climbed that mountain that was awesome. Now. Me climb this mountain, not because I have to, not because I need to prove myself, but because I get to, right. If you can shift your words from need, have, should to I get to that is the difference between creating and achieving. It's like I get to do this, like I get to show up. I used to when I was starting this new business. I used to not like social media at all, and I just wish that I could just have clients and coach and mentor, because that's all I love to do. I didn't like to, you know, do the marketing and do the social media and do all the rest of the stuff. I was just like, I wish I could just receive clients and coach and mentor, because that's what I love, and that's my passion. And then I realized I can't do that. I can go work for a corporate company, and I can do that, but I don't have time freedom to be with my child. I don't have I'm Max capped out about how much I can earn or create because I'm working for someone else, or I can go off on my own. And I get to get good at marketing. I get to get good at social media. I get to get good at all the other things, as well as getting good at getting better at coaching and mentoring, so that I can be my own boss, that so that I can be with my child and travel and take him and work from my computer around the world, so that I can do speaking engagements around the world, and that I can build this business as big as I desire, the way that I desire. So everything then became a get to so then when I showed up for social media, I was excited for it, versus like, Oh, this is so frustrating. I wish this wasn't part of my job. So you, once you shift the get oh, everything opens up, and then everything starts working as well, because your energy opens up and we get to learn, yes, exactly, we get to learn and now, now in a lot of different things, thanks to that,   Michael Hingson ** 56:51 there you are, right, exactly, which makes a whole lot of sense. Changing your belief really changes your life, changing your mindset and looking for that open way to allow you to deal with all the things that come along, can they get to, as opposed to have to way certainly just enhances your whole outlook.   Jocelyn Sandstrom ** 57:16 Yes, absolutely, yeah. And it can change overnight. If you can just look at everything in your life that you're grateful for, that you a younger version of you dreamed about, that you now have in your life, even your phone, your computer like you wanted that now you have it, but you take it for granted until you lose it, and then you don't appreciate it till you get it back. And you're like, Oh, I love it so much, right? Like, if we just shift from looking from everything that's wrong with our life to everything that's incredible, we get to be full of gratitude while we're creating our next level that frequency, gratitude is this most powerful frequency. It opens synchronicity. It helps you to become magnetized, so that people are then magnetized to you. If you think about going into a shop and there's like, this grumpy person who's complaining all the time, versus this, like charismatic, happy, loving life, loving life, salesperson, which one are you going to be attracted to working with, you're going to be attracted to working with the one that looks for the positive outcome, that doesn't see limitations, that sees ways to transcend them. You know, that's not complaining about all the things that are going wrong, but showing you what could go right instead. And so then your business opens up as well. Because you're magnetized, you start meeting people that want to come and talk to you, you know, like you could be in a restaurant, and you're just drawn to looking at someone that walks into the room and you don't know why, you don't know who they are, what they do, you just there something about their energy draws you to them, and it's that energy that becomes their calling card. And so when you are in this gratitude and this loving of life and not seeing limitations. You just see opportunities to grow. You become magnetized. People want to be around that. People are inspired by that. So now you start attracting opportunities into your life, instead of, you know, trying to force and push and chase them. And it goes back to the saying that I absolutely love, which is, instead of chasing butterflies, build your own garden, so the butterflies come to you. Yeah, so, and it's also like that other saying that the grass is always greener on the other side, until you start watering your own grass. Like those two sayings completely changed my life. Yeah?   Michael Hingson ** 59:38 Well, you know, I, when I was growing up, I lived about 55 miles west of here in a town called Palmdale, and I now live in Victorville. But when I was growing up, I described Victorville as compared to Palmdale that only had like about 2700 people. I described Victorville as not even a speck on a race. Our scope compared to Palmdale. I never imagined myself once I moved away, moving back to Victorville or to this whole area, but my wife became ill with double pneumonia in 2014 she recovered from that. Family started saying, you really ought to move down c

Pastor Jeffery explains the rationale for a small change in the placement of baptism and membership vows during our Sunday gatherings. The post A Slight Liturgical Tweak appeared first on .

Gregg Warren, senior analyst with Morningstar Research Services, discusses the succession, dividend, and stock portfolio questions he would ask at this year's Berkshire Hathaway annual meeting. Warren previously pitched questions as part of the meeting's analyst panel. Key Takeaways:Morningstar Analyst on Pitching Questions at Berkshire Hathaway Annual Meeting   Succession Planning for Berkshire Hathaway's Insurance Business   What Investors Need to Know About Warren Buffett's Successor   Should Greg Abel Spin Off Berkshire Hathaway's Businesses or Issue a Dividend?   What We Are Listening for From Buffett on His Stock Sales at the Berkshire Hathaway Annual Meeting 2025   Does Warren Buffett Think the US Is Still a Solid Bet?   Is Berkshire Hathaway Stock a Buy? Read about topics from this episode.  10 Questions for Berkshire Hathaway's 2025 Annual Meeting Subscribe to The Morning Filter on Apple Podcasts, or wherever you stream podcasts.What to Expect at Berkshire Hathaway's Annual Meeting Why Berkshire Hathaway's Stock is Beating the Market in 2025 What I Hope My 14-Year-Old Learned at Berkshire Hathaway's Annual Meeting Warren Buffett Dismisses Concerns About Cash Holdings 9 Charts on Trump's First 100 Days in the Markets US Treasuries Sell Off as Trade War Calls Haven Status Into Question How to Invest Like Warren Buffett The 4 Warren Buffett Stocks to Buy After Berkshire Hathaway's Latest 13F Filing Warren Buffett Sold These 2 ETFs. Should You?  What to watch from Morningstar. Retirees: Here's How to Tweak the 4% Rule to Protect Your Nest EggMarket Volatility: Which Investments Will Protect Your Portfolio in a Recession?Market Volatility: What Lies Ahead in Trump's Trade WarMarket Volatility: What to Watch in Q2 After Big Swings in Q1 Read what our team is writing:Greggory WarrenIvanna Hampton Follow us on social media.Facebook: https://www.facebook.com/MorningstarInc/X: https://x.com/MorningstarIncInstagram: https://www.instagram.com/morningstar... LinkedIn: https://www.linkedin.com/company/5161/ 

Amy Arnott, Morningstar Inc. portfolio strategist, discusses why her team's starting safe withdrawal rate is more conservative than the popular 4% rule. Plus, a new metric to help determine financial priorities during retirement.How ‘The State of Retirement Income' Report Helps Investors Know Their Safe Withdrawal RateConservative Estimate for Starting Safe Withdrawal RateWhy Has the Starting Safe Withdrawal Rate Gone Down? Flexible or Dynamic Strategies to Increase the Starting Safe Withdrawal Rate What Is the Spending-Ending Ratio? Retirement Spending Strategies That Leave Legacy Funds Strategies to Help Retirees Spend All Their Retirement Savings Should You Delay Social Security? What Type of Retiree Should Considering an Annuity?Pros and Cons of Deferred Annuities What's Next for 'The State of Retirement Income' Report? Read about topics from this episode.  Six Retirement Withdrawal Strategies That Stretch SavingsThe Best Ways to Maximize Your Retirement Income in 2025Navigating the Future of Retirement Income: Trends, Strategies, and InsightsMorningstar's Retirement Income Research: Reevaluating the 4% Withdrawal RuleWhat's a Safe Retirement Spending Rate for 2025?Maybe You Shouldn't Delay Taking Your Social Security Benefits After AllHow to Retire: Tips for Entering RetirementTIPS Funds Gain on Fears of Inflation and Economic DownturnHow to Use Our Retirement Income Research  What to watch from Morningstar. Worried About a Market Sell-Off? These 10 Funds Reduce Portfolio RiskGray Divorce: How to Avoid Triggering a Costly Tax BillWhy the Bond Market Looks Brighter Than It Did in 2022Where to Find Bargain Stocks in an Expensive Market Read what our team is writing:Amy ArnottIvanna Hampton Follow us on social media.Facebook: https://www.facebook.com/MorningstarInc/X: https://x.com/MorningstarIncInstagram: https://www.instagram.com/morningstar... LinkedIn: https://www.linkedin.com/company/5161/

Get ready to bring the heat to the dancefloor with Highlife Samples Mainstream EDM a sample pack for producers aiming to create dancefloor-ready EDM anthems! This premium sample pack includes 5 high-quality construction kits with everything you need to craft chart-topping tracks. Inside, you'll find a wide range of WAV loops, including powerful drums, deep basslines, energetic FX, uplifting melodies, lush pads, catchy plucks, and more, all designed to spark instant inspiration. Included in each kit are custom-designed Serum presets, giving you full control over the sounds in your tracks. Tweak and reshape the leads, basses, and plucks to match your style or create your own signature sounds. These presets are designed to blend perfectly with the WAV content, so you can build professional tracks quickly and effortlessly. Compatible with Xfer Serum v1.345 or higher Every melodic element comes with its corresponding MIDI file, allowing you to change the key, switch instruments, or build entirely new progressions. MIDI gives you the flexibility to personalize your music, speed up your workflow, and stay creative. Whether you're producing festival bangers or radio-friendly hits, this pack gives you the tools to make your sound stand out. All sounds are 100% royalty-free, and ready to use in your commercial releases with no restrictions. Pack Content: 5 Construction Kits 102 Wav Loops 42 Midi Files 38 Drum Hits 41 Serum Presets 24bit/44.100 100% Royalty-Free

If your fitness is falling, your discipline is leaking.In this episode of Men of Influence, Tim Holloway sits down with Devan Gonzalez, CEO of Strive 11 Fitness and host of The Mindset Cafe Podcast, to unpack how physical discipline spills into every area of a man's life—from business to family to confidence.You'll learn how Devan scaled from personal trainer to gym franchisor, why fitness is more than just workouts, and the mindset required to build something that lasts.What You'll Hear:Why your body is your billboard—and how people feel your discipline before they hear itHow Devan scaled Strive 11 into a franchisable fitness system that meets people where they areThe #1 reason most men fail at fitness (and how to fix it fast)Why a gentle curve of change is better than a crash-course reinventionThe truth about CrossFit, boot camps, and why not every program is right for every seasonHow to track your KPIs in life (not just business)—and why this is a game-changer for fatherhood, marriage, and impactThe power of knowing your why—and how it'll pull you through every workout, challenge, and late-night cravingWhy reading stories of real people who overcame is better than reading “success formulas”Your health journey doesn't need to start with intensity. It needs to start with intentionality. Track it. Tweak it. Own it. Whether it's 30 minutes of walking or scaling a gym empire—what matters most is that you begin.“The body only grows in discomfort. Comfort zones are where progress goes to die.”Learn more about Tim through the following links:FacebookPodcasting group

Real Estate Lead Generation Hacks: How I Cut My Lead Cost by 53%!(Check out the full video replay here: https://youtu.be/zWwbpEqX8iY)In this video, I'll share some of the best tactics that are currently working in real estate lead generation. Discover a simple tweak that cut my lead cost by more than half, doubling the opportunities for the same price. I'll also discuss the challenges I've faced and how I've overcome them, including ensuring that your tech is functioning properly. Learn about the best-performing short form videos and a lead generation tip that led to significant savings. Don't forget to check out last week's session with Jay Kinder for more insights. Plus, if tech overwhelms you, visit http://buildwithjosh.com for more tips. Stay tuned for practical advice you can implement right away!Want to leverage our 5 figure/month marketing team to fill your funnel with more real estate leads? (so you can use the voicemail with more MOTIVATED clients!) Go to: http://BuildWithJosh.com

The Knicks are headed into a pivotal Game 3 — but what adjustments need to be made? In this video, we break down the key areas where the Knicks must tweak their game plan, from rotation changes to defensive strategy.XYoutube

A model for identifying ways to better protect lithium-ion batteries for electric vehicle from degrading has been developed by a team of mathematicians, physicists and engineers at the University of Portsmouth. This would help extend the life of electric batteries, which are becoming increasingly important as so many vehicles and machines are being built to run electrically. The research, published in the Journal of Mechanics of Physics and Solids, is an important step forward towards production of longer-lasting, improved performance, rechargeable batteries and will be of substantial value to the lithium-ion battery industry. Lithium-ion batteries are important in a wide range of technology, including electric vehicles, laptops, tablets, mobile phones and even medical devices, but deterioration of the battery adversely impacts the length of time that they are operationally effective. Longer lasting electric vehicle batteries Professor Jamie Foster from the School of Mathematics and Physics led the study. He said: "This is fundamental research which is unearthing how mechanical stress affects battery function, and has led us to develop a mechanical model which can be used in lithium-ion battery development to test solutions to prevent the deterioration of battery function and protect against damage. "Ultimately, this could lead to manufacturers being able to produce rechargeable batteries that have a longer, serviceable lifespan. Lithium-ion batteries will be a key technology in realising a truly sustainable and low-carbon economy in the coming decades, and so such improvements are urgently needed. In developing the model, three situations were studied: how batteries behave when compressed; how electrodes react when they first come into contact with liquid electrolytes; and how the battery cells are affected by sudden impact. Previous research in this area was also taken account of. The effective equations derived from the study and which make up the model, mean it will be easier, faster and cheaper, to compute how a battery behaves in different situations. Dr Foster added: "An extension to the service life of lithium-ion batteries would translate directly to lower prices for consumers - something which is needed in the growing electric vehicle market." The study, "Multiple scales homogenisation of a porous viscoelastic material with rigid inclusions: Application to lithium-ion battery electrodes", is available online here: https://www.sciencedirect.com/ science/article/pii/ S0022509625000481 Authors: J.M. Foster, A.F. Galvis, B. Protas, S.J. Chapman. DOI: doi.org/10.1038/s41467-025 57868-6 About the University of Portsmouth The University of Portsmouth is a progressive and dynamic university with an outstanding reputation for innovative teaching, outstanding learning outcomes and globally significant research and innovation. Our 28,000-student population includes over 5,000 international and EU students from more than 150 countries. Our city centre campus is at the heart of a lively city by the sea, on England's south coast. We were awarded the highest overall rating of Gold in the most recent Teaching Excellence Framework, one of only 27 Gold rated universities in England and one of five Gold rated universities in the South East. We're proud to be one of the UK's top 50 universities (with a 5-star rating) in the QS World University Rankings and one of the top 10 Young Universities in the UK based on Times Higher Education Young University rankings. Our research and innovation impacts lives today and in the future. Researchers work closely with business, industry and the public sector to solve local, national and global challenges across science, technology, humanities, business and creative industries. Our world-class research is validated by our impressive Research Excellence Framework (REF) outcomes where Portsmouth was ranked third of all modern UK universities for research power in the Times Higher Education REF ranki...

7-8am Hour 2 - Jeremy White and Joe DiBiase talk with Sal Capaccio about the way that Bills GM Brandon Beane has conducted his last few drafts compared to how Chiefs GM Brett Veach has handled his.

Welcome to another episode of Road to Success! In this episode, we sit down with Dips – the mastermind behind P1 Auto Keys – who's worked with Matt Armstrong, Mark McCann, Auto Alex, and even the police and emergency services! From insane electronic diagnostics to unlocking crime scene vehicles, this is a must-watch!Don't forget to subscribe to our channel for more exciting content about your favourite shows and celebrities. Hit the bell icon to stay updated on all our latest episodes

Unlock the transformative power of AI in leadership with this riveting episode of the Self Aware Leader podcast, hosted by Jason Rigby. Joined by Troy Plota, founder of Plotaverse—the world's first all-AI social platform for creators—this conversation is a masterclass in high-agency leadership and resilience. From a 17-year-old “surf rat” photographer kicked out of his Florida home to a tech pioneer featured in GQ and Times Square, Troy's journey embodies the self-aware leader's ethos: own your path, serve others, and turn setbacks into systems that uplift. After Apple's betrayal with his Plotograph app—a $6M giveaway followed by a lowball offer—Troy built Plotaverse to empower artists with customizable profiles, pixel-shifting patents, and equitable monetization, challenging Instagram's 7.5% creator payouts. He shares how AI amplifies creativity, debunking myths that it “cheapens” art, and envisions a future of democratized filmmaking and dynamic digital art. Leaders will learn actionable strategies to embrace AI tools like Runway and Stable Diffusion, reframe adversity, and build communities that prioritize service. Troy's collaboration with icons like Ellen von Unwerth and his Nvidia partnership for offline AI models highlight his visionary approach. Perfect for entrepreneurs, creators, and self-aware leaders seeking to leverage technology for impact, this episode offers practical insights on resilience, innovation, and leadership in an AI-driven world. Discover how to transform pain into purpose, lead with authenticity, and join the Plotaverse revolution. Tune in now to unlock your creative superpower and take bold action. Subscribe to Self Aware Leader for weekly episodes on leadership, personal growth, and cutting-edge innovation. Download Plotaverse, follow Troy (@troyplota), and start building your legacy today! Guest Bio Troy Plota is a photography legend turned tech innovator with over 30 years in the creative industry. Known for dynamic, display-based imagery, he's worked with top celebrities and brands, earning features in GQ and pioneering a Times Square digital billboard shot with a digital camera. As founder of Plotaverse, Troy launched Plotograph, the world's first app to animate stills, hitting #1 in the App Store with over 10 million downloads. An early AI adopter, he now leads Plotaverse, the first all-AI social platform empowering artists. Troy is also a speaker, consultant, and host of The Why of AI, inspiring creators to embrace AI. Website: troyplota.com Plotaverse: plotaverse.com Plotagraph Pro: plotagraphpro.com X Handle: @troyplota Instagram: @Plotagraph Episode Overview In this powerful Self Aware Leader episode, host Jason Rigby sits down with Troy Plota to unpack his mythic journey from a teenage outcast to a tech visionary. Troy shares how resilience, service, and AI-driven innovation fueled Plotaverse's rise as an artist-first platform. The conversation dives into overcoming betrayal, embracing AI as a leadership tool, and building systems that empower others—a blueprint for self-aware leaders to own their impact. Key Moments & Topics Troy's Heroic Origin (00:01 - 03:24) Troy reflects on his Florida “surf rat” days, defying his father's doubts to pursue photography at 17 with just a camera. His move to Miami and Atlanta sparked a career in fashion, advertising, and celebrity photography. Key Quote: “I just picked up my camera and I've never had another job ever since.” Jason's Insight: “You started serving right off the bat… creating a ton of value.” Breaking into the Big Leagues (01:22 - 03:24) Troy's hustle organizing modeling agency portfolios led to paid shoots and high-profile clients. His work landed in GQ and on a pioneering Times Square digital billboard—the first shot with a digital camera. AI: The Creative Superpower (04:12 - 06:02) Troy calls AI a “miracle,” comparing it to the film-to-digital shift, and collaborates with Ellen von Unwerth to push boundaries. He argues AI enhances creativity, enabling dynamic stills and films. Key Quote: “If you don't embrace this, you're going to be left behind.” The Apple Crucible (06:55 - 09:42) Apple's promotion of Plotograph for the iPhone X launch led to a $6M giveaway, a lowball offer, and no promised exposure. A competitor copied his app, but Troy built Plotaverse, the first all-AI social platform. Jason's Take: “This is age-old—making a profit off an artist… there's always this boogeyman behind them.” Plotaverse: Empowering Creators (10:16 - 15:18) Plotaverse offers customizable profiles, pixel-shifting patents, and monetization, reinvesting ad revenue into artists. Key Quote: “I've designed the profile pages to be like your website… you dictate what goes first.” Unexpected Impact (12:14 - 13:34) Plotaverse helps hospital patients combat depression and powers visuals for electronic music shows. Highlight: “People would say, ‘I was in bed for months and literally addicted to your app… it saved my life.'” Debunking AI Myths (15:39 - 18:34) Troy addresses fears that AI makes art “too easy,” emphasizing prompting skills and accessibility via open-source models. Jason's Insight: “Even the prompt… that should be monetized.” The Future of Creativity (20:11 - 23:19) Troy predicts AI will democratize filmmaking and transform static art into dynamic displays. Vision: “Things don't have to be stationary anymore… it's a combination of augmented reality and screens.” Data Visualization & Community (23:19 - 25:51) Plotaverse supports photographers, videographers, and data artists, amplifying innovative work like oceanographic visualizations. Troy's Take: “Art has always been about what it makes you feel… now it can move.” Getting Started with Plotaverse (26:25 - 29:26) Troy invites listeners to download Plotaverse, explore uncompressed imagery, and unlock pro features after 50 posts/comments. A desktop version with Runway, Pika, and Stable Diffusion is coming, backed by an Nvidia partnership. Call to Action: “Go on, find some artists you love, and get inspired.” Actionable Takeaways for Self-Aware Leaders Own Your Path: Like Troy at 17, bet on yourself. Identify one bold move this week to pursue your vision, despite doubts. Reframe Setbacks: Time-box 24 hours to process a recent failure, then list three ways to turn it into leverage. Act on one within 48 hours. Embrace AI: Spend 30 minutes experimenting with an AI tool (e.g., Plotaverse, Stable Diffusion). Share one output with your network. Serve First: Find one way to create value for someone in your field (e.g., share a resource). Track outcomes over two weeks. Build Systems: Audit your projects. Tweak one process to give your team or clients more control, testing it in a one-week sprint. Memorable Quotes Troy: “In every way in life, it's about service and just having faith in doing what you love.” Jason: “This is how AI is supposed to work—it helps us, makes us better, allows us to be more creative.” Troy: “I'm curating the top tools in the world… it's not just about what we have in Plotaverse.” How to Connect Download Plotaverse: Available on iOS and Android Follow Troy: @troyplota on X, @Troyplota on Plotaverse Learn More: plotaverse.com, troyplota.com Plotagraph Pro: plotagraphpro.com Final Thoughts This episode is a rallying cry for self-aware leaders, entrepreneurs, and creators. Troy Plota's journey—from a teenage outcast to a tech visionary—shows how resilience, service, and AI can transform leadership. Plotaverse isn't just a platform; it's a movement to empower creators over algorithms. Download the app, join the community, and ask: What's my next bold move to own my impact? Subscribe to Self Aware Leader for more episodes that ignite your purpose and drive action. Stay awake, stay in action. Jason Rigby Host, Self Aware Leader Podcast

Sometimes it doesnt need to be anything big or elaborate to make an obvious shift in your reality. Every single year, I start with the Feel It First process, where I get clear on the life I want to live, then extract the desires I want to receive within that year. I focus on how I want to feel, and how I will feel when the desires materilize, and then spend the whole year find ways to feel those emotions in the present moment...in my day to day. But last year I made a SIMPLE tweak. And the speed at which my life changed was phenomenal. It was the year that so much shifted for me, right up to the very last minute! I am excited to share this shift with you inside todays podcast episode. Even more excited for you to apply it to your life and rituals!!! Dive in and let me know how this resonates. PS: Waitlist for The Feel It First Experience is now open!! Make sure you join to receive the best price and an exclusive bonus!! YAY!   BOOK A BREAKTHROUGH BREATHWORK SESSION

Unplugging from your business is THE key to solving your biggest problems. Sometimes, the best way to move forward is to hit pause. Join Dr. Sabrina Starling and Melissa Kay to discover how constant overworking drains your productivity, the psychology behind the power of brain breaks, and practical tips for successfully unplugging without sacrificing your business's growth. Listen now to learn how you can unplug, reset, and return to your business stronger than ever!Profit by Design is a Tap the Potential Production.Show Highlights:The biggest irony in entrepreneurship is that we are MORE effective when we work LESS.Learn to ask better questions to find better solutions.Find the “sweet spot” for the number of hours to work in a week for your maximum energy and engagement.Tweak your calendar and schedule to unplug and watch the magic happen!Psychological benefits of unplugging: more creativity, more time to explore and nurture other passions and interests, increased effectiveness at work, and better problem-solving skillsMelissa's advice to fellow (recovering) workaholicsDr. Sabrina's simple steps to setting limits on your business:Draw a line on your calendar daily to mark when the workday ends.Reclaim your evenings and weekends to be present with yourself and your loved ones.Create experiences for yourself and your loved ones during your unplugged time.Want to make a commitment and join us in the revolution against hustle culture? Take the Work Supports Life Pledge today!Resources:Don't wait! Download your Strategic Planning Guide and 2025 Tap the Potential Strategic Planner today!Want to know the best attracting and recruiting strategies for small businesses? We can help! Learn more about our How to Hire the Best course.Retain, grow, and deeply engage your A-players with the Dream Manager Program! The best way to create buy-in from your team members for your vision is to identify how your vision supports them in achieving their dreams. Enroll today!Become an employer of choice to attract the A-players you want on your team! We are now enrolling for the How to Hire the Best course. Sign up today!Sign up for the free A-Player Development Plan/Mini-Course. Track your A-players' development and retain your A-players!Ready to take your life back from your business? Want more time for what matters most and more money in your bank account than ever? Book a call with us today! Get your copy of A Guide To Talking To Your Team About Profit!Master your time and profit! Give us 20 minutes of your time, take the Better Business Better Life Assessment, and receive a free paperback copy of my book, The 4 Week Vacation®️.Learn more about our courses, Coach Approach, and Leadership...

7-8am Hour 2 - Jeremy White and Joe DiBiase talk about the way the Bills have built their defense this offseason and if the moves are pointing towards a change in how their defense is built.

My daughter and I have been binge-watching past seasons of The Amazing Race for some months now, and the psychology nerd in me has become increasingly fascinated by one particular aspect of the show.The participants' self-talk.As in, what do participants say when they run into a task that feels impossible or beyond their abilities?“I can't”When participants start saying “I can't,” they often stop trying and appear to be on the verge of quitting altogether. After all, “can't” is a pretty disempowering word.The reality of course, whether it's eating snake meat or swimming laps in a bog or bungee jumping into a ravine, is that when push comes to shove, they discover that they absolutely can do these things.So how much of an effect does self-talk like this have on us, actually?Well, a 2011 study found that when participants replaced the word “can't” with

Feeling overwhelmed in your business? It might be time to let go of what's not working and finally create space for an aligned, optimized business that supports your life—not runs it.In this episode, I'm walking you through what I like to call a good old-fashioned spring cleaning for your business. I'm sharing how to figure out my favorite approach to organizing a small business and optimizing business operations: what to keep, what to tweak, and what to finally let go of so your business can have an optimized business that doesn't burn you out.Here's what you'll learn in this episode:How a simple mindset shift helped me stop spinning my wheels and start building a more optimized businessThe exact process I use to evaluate what's working and what needs to go—plus how this helps with organizing a small businessWhy more isn't always better—and how to use one of my favorite small business tips to simplify your offers and operationsWhat finally convinced me to start outsourcing in business (and how it completely changed the game)The small-but-mighty tweaks I've made for optimizing business operations—and how you can, tooWhat's one thing you know you need to let go of in your business—but you're still holding on to it?DM me your answer on Instagram @katyripp—I'd love to hear what you're processing, pruning, and making space for this season. And if this episode resonated with you, come join us inside the Actually, We Can Collective—my private community for midlife women entrepreneurs who are done with hustle and ready to build a purpose-driven, optimized business with clarity and confidence.RESOURCES MENTIONED IN THIS EPISODE:Actually, We Can CollectiveFemale Founders CollectiveThe Art of HelloCONNECT WITH KATY RIPP: Website: www.katyripp.comInstagram: @katyrippPinterest: @katyrippFacebook: @katy.ripp

Hire world-class accountants and in The Philippines. Visit Outsource Direct to scale your operations with higher flexibility, maximum efficiency and much lower costs.Subscribe to the Business Builders Newsletter for the very best ideas I've discovered on business and personal growth.Welcome to Series 9, Episode #075, where host Conor Kearney interviews Jerry Kennelly, founder and CEO of Tweak, a productivity platform for marketers. Jerry shares his journey from growing up in County Kerry and dropping out of school to work in the family newspaper business, to his success as a photojournalist, and eventually creating the multimillion-dollar business Stockbyte, which he sold to Getty Images for $135 million. He discusses the challenges he faced, the relentless pursuit of business innovation, and his efforts to foster entrepreneurship in Ireland, including the establishment of the Junior Entrepreneur Program. Jerry also shares insights on the balance of work and life, the importance of community, and the motivational aspects of entrepreneurship.CONNECT WITH CONOR:LinkedInCONNECT WITH JERRY:LinkedInWebsiteDiscover EO Ireland—part of an international network designed specifically for entrepreneurs. EO Ireland connects business owners for networking, mentorship, and shared learning experiences. Take your business to the next level and join a community of like-minded leaders today at eoireland.org. Empower your entrepreneurial journey!Produced by Jetbooks, Chartered Accountants Ireland.

Send us a textWe explore Alcohol Use Disorder (AUD), covering diagnosis criteria, progression, causes, and effective treatment approaches according to the DSM.• AUD falls under substance-related disorders in the DSM with 11 specific criteria• Severity is classified as mild (2-3 criteria), moderate (4-5), or severe (6+ criteria)• Criteria include drinking more than intended, inability to quit, cravings, and withdrawal symptoms• People often drink to self-medicate stress, trauma, or negative emotions• Effective treatment requires individualized approaches rather than one-size-fits-all solutions• The trans-theoretical model (stages of change) recognizes recovery as a cyclical journey• Motivational interviewing helps clients explore ambivalence and move toward healthier choices• Family therapy helps relatives understand AUD and provide appropriate support• Other effective approaches include contingency management, DBT, and relapse prevention• Key assessment tools include AUDIT-C, CAGE, TWEAK, T-ACE, CRAFFT, and ASSIST• Recovery should be viewed as a journey with potential relapses, not a one-time fixRemember it's in there, it's in there.If you need to study for your national licensing exam, try the free samplers at: LicensureExamsThis podcast is not associated with the NBCC, AMFTRB, ASW, ANCC, NASP, NAADAC, CCMC, NCPG, CRCC, or any state or governmental agency responsible for licensure.

Around The NFL: A tweak in the definition on what a hip drop tackle is, Hard Knocks back in Houston? & more. Cal & Hannah McNair gave an update on the stadium. What's Popping: Rockets get to 50 wins, mutual interest in KD for the Rockets? & more.

Join Gina, Program Manager Kim and special guest Maintenance and Mindfulness Program Manager Odette as they break down and dig into the tweak we see in week 12 of The Livy Method.The Tweak This Week? MaintenanceFeel like you're nailing the process but still wondering, what now? This episode breaks down what maintenance actually means—spoiler alert: it's not another diet. Gina, Kim, and Odette are talking real feels like fear and doubt, what to do if you're not quite done losing, and why weight can sneak back on if you skip key steps. You'll learn how to roll through holidays, stress, and everyday life without spiraling. It's not just about hitting goal weight—it's about living your life in it.To learn more about The Livy Method or to sign up for the Spring 2025 Program, visit www.ginalivy.com. Hosted on Acast. See acast.com/privacy for more information.

A simple five-minute website update could be the key to boosting your clinic's visibility on Google and attracting more local patients.In this episode of The Clinic Marketing Podcast, we'll reveal a quick, free, and proven SEO strategy that helps Google recognize your clinic's location—improving your rankings in both organic search and the local pack.Healthcare is inherently local, and by making this small change, you'll send a strong signal to Google that puts your clinic in front of more potential patients.Tune in to learn exactly what to do and how it can impact your search results.

We've Got No Squirrels, No Raccoons, and NO LIEUTENANT YAR!! This Show Has No Philosophyyyyyyyyyyy. Its-a-Me, Bellagio! Fad Tooley Pooed. Bouncy And Booby. Avoid the ingestibles. Freaking Word Vomit. How does your basement studio get? Henley Hides the Hole. The Cigarette Hole. Steve will survive. Birds leave a 1 star yelp review. Trash Pandas got No Respect. Contemplating My Potato Mountain. The Most Brad Hair with Nicole and Randy and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.

Wes from Flower Mound, Texas, has a familiar challenge: how to attract more qualified B2B leads and convert them before they slip away. He's already tried a variety of channels, including inside sales, social media, and email, but is struggling to ramp up both volume and quality. Below are the key insights from our conversation, along with practical strategies to multiply your lead count and build a system that secures face-to-face meetings with the right buyers. Why a Multi-Channel Strategy Matters There's rarely a single magic trick that opens the floodgates of perfect leads. In B2B lead gen often requires multiple touch points before prospects even see why they need to talk to you. A blend of outbound prospecting, inbound content marketing, and nurturing activities generally works best. The sum of these efforts can accelerate your pipeline more effectively than leaning on one channel alone. Lead with Pain-Focused Messaging If you expect busy decision-makers to respond, talk about their pain—not your credentials. It's easier to draw someone in by asking a question they can't ignore: “Is high turnover costing you millions in lost productivity?” or “Has rapid growth left your culture in shambles?” The goal is to make them nod in agreement before they realize they're reading a marketing pitch. That's when they self-select into your funnel and become receptive to a follow-up call. Close the Speed-to-Lead Gap Wes wanted advice on better leads, but high-quality leads can still go cold if your response lags. Once someone opts in or fills out a form, you have a limited window to capitalize on that interest. Even a 30-minute delay can drop contact rates dramatically. Set strict targets for response time and measure them. Make phone calls the first touch whenever possible, not a generic email. Remind them that prospects seeking help have a pressing trigger event—act fast, or they'll move on. Enhance Leads With Thought Leadership Touches Because B2B solutions aren't often top-of-mind until there's an obvious buying window, thought leadership and content marketing are critical. Position your business as a problem-solver. Short webinars, white papers, or case studies can showcase real transformations you've facilitated. Offer timely webinars on pain points you see trending in your market. Gate them with a simple registration form to capture new leads. Follow up quickly, ideally within hours, to schedule a deeper conversation. Stay Narrow on Your Ideal Customer Profile Wes asked whether to target a handful of organizations deeply or go wide. In B2B, sales randomness is the enemy of effectiveness. Identify the types of companies—size, leadership style, growth trajectory—that consistently need your help. Zero in on those decision-makers who likely hold budget authority, whether that's a CEO, COO, or line-of-business leader. Aim higher first and multi-thread down later, if needed. Ace the Last Mile It's one thing to get leads in the door and another to turn them into appointments. That “last mile” is where your marketing spend either pays off or gets wasted. By the time leads get to you, they're often aware of a problem. Your job is to connect that problem to a tangible path forward: Coach reps to identify the pain, clarify it, and propose a next step. Track and revisit call recordings or email exchanges to spot recurring objections. If you see a pattern—like pricing concerns—equip your team with a fast, concise way to handle it without sinking the opportunity. Keep Tweaking and Testing Even the most robust strategy will fade if you aren't iterating. Launch new ad campaigns in short sprints, measure cost per lead, and pivot quickly if the numbers don't add up. Tweak email subject lines and social copy. Identify high-potential communities (like certain LinkedIn groups or niche events) where your target ICP congregates. Expect to experiment regularly to keep your funnel act...

We've Got No Squirrels, No Raccoons, and NO LIEUTENANT YAR!! This Show Has No Philosophyyyyyyyyyyy. Its-a-Me, Bellagio! Fad Tooley Pooed. Bouncy And Booby. Avoid the ingestibles. Freaking Word Vomit. How does your basement studio get? Henley Hides the Hole. The Cigarette Hole. Steve will survive. Birds leave a 1 star yelp review. Trash Pandas got No Respect. Contemplating My Potato Mountain. The Most Brad Hair with Nicole and Randy and more on this episode of The Morning Stream. Hosted on Acast. See acast.com/privacy for more information.

*AUDIO ONLY*The Knicks outlast the Mavs with strategic defensive adjustments by Thibs. A game-changing win driven by teamwork and tactics! Let's talk.Trivia: What seasons did former Knick Tyson Chandler play for the Mavericks in?0:00 Intro1:24 Game Recap & Thoughts4:03 Adjusting From Drop!9:32 Good Lineups = Good Production13:11 Bing Bong Game Ball (Starters): KAT15:39 Bing Bong Game Ball (Reserves): Kolek16:52 PROMO BREAK19:29 Up Next21:04 Trivia21:47 Outro*SUPPORT THE POD*https://account.venmo.com/u/Robert-Carbone-Jr-28Audio

Join Gina and Program Manager Kim as they break down and dig into the tweak we see in week 11 of The Livy Method.The Tweak This Week? Personalizing The Food PlanIf you're waiting for a sign—this is it. What you're doing right now is what leads to real, lasting change. In this episode, Gina and Kim share how to make The Program work for your life, especially in between groups, and why embracing the process as it's laid out is key. They get into how to Personalize The Plan (without overthinking it), how to tune into your instincts, and how to trust what your body's telling you. Plus, they're talking about all the ways the app can help—not just as a tracker but as a powerful tool to help you see your progress. They wrap things up with a reminder that your journey is unfolding exactly as it should. Next week? We're going all in on Maintenance. Let's go!You can find the full video hosted at:https://www.facebook.com/groups/livymethodwinter2025 Hosted on Acast. See acast.com/privacy for more information.

Maintenance Mindset Mondays is all about cracking open the conversation about what REAL maintenance looks like – beyond the scale and deep into personal transformation. Join Gina and Odette as they dive into the week's focus, share insights on all things maintenance, and answer your questions. Whether you're new or experienced, there's something for everyone!How do you transition from fear to trust when it comes to weight loss? In this episode, Gina and Odette are walking you through exactly that—what it means to break free from old patterns and finally start believing in yourself and your body. They'll talk about what it really looks like when your body is no longer wired for fear-based decisions, and how to own that you are already showing up differently. This week's Tweak is all about Personalizing The Plan—paying attention to how your body responds to different foods so you can truly optimize your journey. They'll share how to build the trust you need to live your life without second-guessing your choices.You can find the full video hosted at:https://www.facebook.com/groups/ginalivymaintenanceandmindfulness Hosted on Acast. See acast.com/privacy for more information.

Hour 2 - What ways should the Bills tweak their offense? full 2288 Thu, 20 Mar 2025 15:01:11 +0000 MKc1WINvzY4sfsaI9ATQchIfLMXuFn0v sports The Jeremy & Joe Show sports Hour 2 - What ways should the Bills tweak their offense? When it comes to sports talk in the morning, especially Bills and Sabres, there is only once source in Buffalo... The "Jeremy and Joe Show"! There is no other morning show in Western New York that offers you the chance to sound off on your teams the morning after the game like "Jeremy and Joe". Jeremy White and Joe DiBiase break it all down, and give you exclusive access to the Bills and Sabres with a star studded weekly lineup of guests including: - Tuesdays at 8 a.m. (DURING HOCKEY SEASON): Sabres head coach Don Granato - Thursdays at 9:30 a.m. (DURING FOOTBALL SEASON): Scott Pianowski from Yahoo! Fantasy Sports On Demand Audio is presented by Northwest Bank. For What's Next. 2024 © 2021 Audacy, Inc. Sports False https://player.amperwavepodcasting.c

Join Gina and Program Manager Kim as they break down and dig into the tweak we see in week 10 of The Livy Method.The Tweak This Week? Levelling Up Your Mind-Body ConnectionThis week, we're setting ourselves up for what lies ahead—because this process is all about making intentional choices. How's this week's tweak feeling for you? If you're noticing hunger or tiredness creeping in at night, stay mindful—the scale might be on the verge of moving! Energy dips? Totally normal. Your body is working hard. Play around with food timing and make sure you're getting the right carbs at the right time—protein and fat can make all the difference. Keep checking in throughout the day: Hungry? Could I eat? Should I eat? And if you need Back On Track, use it! Thinking ahead to what's next? Gina and Kim chat about what to do between groups and whether the Spring or Maintenance Program is the best fit for you. Ultimately, the goal is building awareness, knowledge, and trust in your body—so you can live your life without second-guessing what you need. No guilt, no shame, just forward momentum.You can find the full video hosted at:https://www.facebook.com/groups/livymethodwinter2025To learn more about The Livy Method or to sign up for the Spring 2025 Program, visit www.ginalivy.com. Hosted on Acast. See acast.com/privacy for more information.

Hi Mamas, The waitlist is now OPEN!!!  Get your name on there and get a $20 discount!  Join here... Mornings Made Simple Waitlist!

Feeling stuck in your podcast growth? You're not alone. Many podcasters hit a plateau, wondering why their audience isn't expanding despite putting out great content. But here's the truth: it's not about working harder—it's about working smarter.In this episode, I'm sharing three small but powerful tweaks that can instantly boost your discoverability, engagement, and shares. These strategies helped me and my clients gain momentum without creating more content—just optimizing what's already there!If you want to attract more listeners and turn them into loyal fans, this episode is for you.Episode Highlights:[00:02:51] Tweak #1: Optimize Your Episode Titles for Discoverability[00:05:15] Tweak #2: Fix Your Podcast Intro to Hook Listeners Instantly[00:08:00] Tweak #3: Make Your Podcast Easier to ShareFor full show notes and a transcript of today's episode, head to wildhomepodcasting.com/podcast/211Want to take these strategies even deeper? Inside my Strategize & Shine Podcast Academy, I'll help you optimize your podcast for growth and engagement—without the guesswork.✨ What's inside the Academy: ✅ 3 Growth Tracks tailored to where you are in your podcasting journey. ✅ SEO + Marketing Strategies to help new listeners find you. ✅ Community & Coaching so you're never figuring it out alone.

The U.S. ends tax exemptions for Chinese small-parcel imports, shaking Shein, Temu and others. Note: The conversation segment of this episode was generated using AI and has been edited for accuracy. It is based on this Caixin story: In Depth: Trump Ends an Era for Shein and Temu Subscribe now to unlock all coverage from Caixin Global and The Wall Street Journal for just $200 a year, enjoying a 66% discount.  Group discounts are available — contact us for a customized plan.

Join Gina and Program Manager Kim as they break down and dig into the tweak we see in week 9 of The Livy Method.The Tweak This Week? The Food Plan RevampRevamping the week with a brand-new tweak! Gina and Kim discuss consistency. Why it pays off and how reflections can help you map out the next leg of your journey. Ever catch yourself future-tripping? Unpack whether that's just self-sabotage in disguise (spoiler: it might be). They also dive into the 4 Steps of Mindful Eating and doubling down on mindfulness to help you recognize what your body truly needs. Feeling anxious about this week's changes? You're not alone! Gina and Kim break down how to embrace what's next, navigate seasonal transitions, and adjust the timing of meals and snacks. You can find the full video hosted at:https://www.facebook.com/groups/livymethodwinter2025To learn more about The Livy Method or to sign up for the Spring 2025 Program, visit www.ginalivy.com. Hosted on Acast. See acast.com/privacy for more information.

Kevin and Kieran find out why Championship clubs have voted to tweak their Profit and Sustainability Rules, and discuss the news that Women's Super League clubs are thinking about scrapping relegation. Follow Kevin on X - @kevinhunterday Follow Kieran on X - @KieranMaguire Follow Producer Guy on X - @guykilty Follow The Price of Football on X - @pof_pod Send in a question: questions@priceoffootball.com Join The Price of Football CLUB: https://priceoffootball.supportingcast.fm/ Check out the Price of Football merchandise store: https://the-price-of-football.backstreetmerch.com/ Visit the website: https://priceoffootball.com/ For sponsorship email - info@adelicious.fm The Price of Football is a Dap Dip production: https://dapdip.co.uk/ contact@dapdip.co.uk Learn more about your ad choices. Visit podcastchoices.com/adchoices

Originating from Edinburgh Ann Tweak is one of the founders behind the long running party series The Mirror Dance – an eclectic party which has been based out of the longstanding Sneaky Pete's venue having played host to the likes of Yu Su, Dj Python, Shy One and more. As a DJ he draws upon a broad set of influences – this mixtape demonstrates a deep understanding of the roots of house music as it begins with its roots in the classic Chicago sound before meandering into more progressive, dubbed out tendencies later on. A classy assortment of tracks, folk up north don't do things by half measures.

10:30am Hour 1 - The guys talk about potential changes coming to the NFL's kickoff rules.

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On today's show we talked about the time we accidentially tramatized our kids. We also learned about a lady with six contact lenses lodged in her eye and a brand new Tweak of the Week!

On today's show Torres is welcomed by a very special guest - as former Indiana coach and media personality Dan Dakich joins the show to talk the Indiana coaching search! From there, Aaron talks a busy few days in college sports as John Calipari makes one of his famous tweaks, Kentucky has injury woes + Matt Patricia... to Ohio State?! Dan Dakich joins the show to talk Indiana's coaching job (2:00): Torres opens the show with a special guest as former Indiana player, coach and now media member Dan Dakich joins the show. The guys talk the Indiana coaching search, is IU still a good job and his thoughts on Brad Stevens and other candidates. Plus, he tells INSANE Bob Knight stories. The rest of a busy week in college basketball (43:00): From there, Torres talks about the best of a busy few days in college hoops. John Calipari implemented one of his famous "tweaks" and Arkansas keeps winning. Plus, a very bad injury update at Kentucky - will it hold them back the rest of the year. Finally, Torres reacts to the strange story that former Lions coach and Patriots assistant Matt Patricia is headed to Ohio State. Also, thank you to Caulipuffs, the healthy, yet delicious snack that is taking over your grocery isle! For more details - visit CauliPuffs.com! Learn more about your ad choices. Visit megaphone.fm/adchoices

Did you know that adding a simple Code Interpreter took o3 from 9.2% to 32% on FrontierMath? The Latent Space crew is hosting a hack night Feb 11th in San Francisco focused on CodeGen use cases, co-hosted with E2B and Edge AGI; watch E2B's new workshop and RSVP here!We're happy to announce that today's guest Samuel Colvin will be teaching his very first Pydantic AI workshop at the newly announced AI Engineer NYC Workshops day on Feb 22! 25 tickets left.If you're a Python developer, it's very likely that you've heard of Pydantic. Every month, it's downloaded >300,000,000 times, making it one of the top 25 PyPi packages. OpenAI uses it in its SDK for structured outputs, it's at the core of FastAPI, and if you've followed our AI Engineer Summit conference, Jason Liu of Instructor has given two great talks about it: “Pydantic is all you need” and “Pydantic is STILL all you need”. Now, Samuel Colvin has raised $17M from Sequoia to turn Pydantic from an open source project to a full stack AI engineer platform with Logfire, their observability platform, and PydanticAI, their new agent framework.Logfire: bringing OTEL to AIOpenTelemetry recently merged Semantic Conventions for LLM workloads which provides standard definitions to track performance like gen_ai.server.time_per_output_token. In Sam's view at least 80% of new apps being built today have some sort of LLM usage in them, and just like web observability platform got replaced by cloud-first ones in the 2010s, Logfire wants to do the same for AI-first apps. If you're interested in the technical details, Logfire migrated away from Clickhouse to Datafusion for their backend. We spent some time on the importance of picking open source tools you understand and that you can actually contribute to upstream, rather than the more popular ones; listen in ~43:19 for that part.Agents are the killer app for graphsPydantic AI is their attempt at taking a lot of the learnings that LangChain and the other early LLM frameworks had, and putting Python best practices into it. At an API level, it's very similar to the other libraries: you can call LLMs, create agents, do function calling, do evals, etc.They define an “Agent” as a container with a system prompt, tools, structured result, and an LLM. Under the hood, each Agent is now a graph of function calls that can orchestrate multi-step LLM interactions. You can start simple, then move toward fully dynamic graph-based control flow if needed.“We were compelled enough by graphs once we got them right that our agent implementation [...] is now actually a graph under the hood.”Why Graphs?* More natural for complex or multi-step AI workflows.* Easy to visualize and debug with mermaid diagrams.* Potential for distributed runs, or “waiting days” between steps in certain flows.In parallel, you see folks like Emil Eifrem of Neo4j talk about GraphRAG as another place where graphs fit really well in the AI stack, so it might be time for more people to take them seriously.Full Video EpisodeLike and subscribe!Chapters* 00:00:00 Introductions* 00:00:24 Origins of Pydantic* 00:05:28 Pydantic's AI moment * 00:08:05 Why build a new agents framework?* 00:10:17 Overview of Pydantic AI* 00:12:33 Becoming a believer in graphs* 00:24:02 God Model vs Compound AI Systems* 00:28:13 Why not build an LLM gateway?* 00:31:39 Programmatic testing vs live evals* 00:35:51 Using OpenTelemetry for AI traces* 00:43:19 Why they don't use Clickhouse* 00:48:34 Competing in the observability space* 00:50:41 Licensing decisions for Pydantic and LogFire* 00:51:48 Building Pydantic.run* 00:55:24 Marimo and the future of Jupyter notebooks* 00:57:44 London's AI sceneShow Notes* Sam Colvin* Pydantic* Pydantic AI* Logfire* Pydantic.run* Zod* E2B* Arize* Langsmith* Marimo* Prefect* GLA (Google Generative Language API)* OpenTelemetry* Jason Liu* Sebastian Ramirez* Bogomil Balkansky* Hood Chatham* Jeremy Howard* Andrew LambTranscriptAlessio [00:00:03]: Hey, everyone. Welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol AI.Swyx [00:00:12]: Good morning. And today we're very excited to have Sam Colvin join us from Pydantic AI. Welcome. Sam, I heard that Pydantic is all we need. Is that true?Samuel [00:00:24]: I would say you might need Pydantic AI and Logfire as well, but it gets you a long way, that's for sure.Swyx [00:00:29]: Pydantic almost basically needs no introduction. It's almost 300 million downloads in December. And obviously, in the previous podcasts and discussions we've had with Jason Liu, he's been a big fan and promoter of Pydantic and AI.Samuel [00:00:45]: Yeah, it's weird because obviously I didn't create Pydantic originally for uses in AI, it predates LLMs. But it's like we've been lucky that it's been picked up by that community and used so widely.Swyx [00:00:58]: Actually, maybe we'll hear it. Right from you, what is Pydantic and maybe a little bit of the origin story?Samuel [00:01:04]: The best name for it, which is not quite right, is a validation library. And we get some tension around that name because it doesn't just do validation, it will do coercion by default. We now have strict mode, so you can disable that coercion. But by default, if you say you want an integer field and you get in a string of 1, 2, 3, it will convert it to 123 and a bunch of other sensible conversions. And as you can imagine, the semantics around it. Exactly when you convert and when you don't, it's complicated, but because of that, it's more than just validation. Back in 2017, when I first started it, the different thing it was doing was using type hints to define your schema. That was controversial at the time. It was genuinely disapproved of by some people. I think the success of Pydantic and libraries like FastAPI that build on top of it means that today that's no longer controversial in Python. And indeed, lots of other people have copied that route, but yeah, it's a data validation library. It uses type hints for the for the most part and obviously does all the other stuff you want, like serialization on top of that. But yeah, that's the core.Alessio [00:02:06]: Do you have any fun stories on how JSON schemas ended up being kind of like the structure output standard for LLMs? And were you involved in any of these discussions? Because I know OpenAI was, you know, one of the early adopters. So did they reach out to you? Was there kind of like a structure output console in open source that people were talking about or was it just a random?Samuel [00:02:26]: No, very much not. So I originally. Didn't implement JSON schema inside Pydantic and then Sebastian, Sebastian Ramirez, FastAPI came along and like the first I ever heard of him was over a weekend. I got like 50 emails from him or 50 like emails as he was committing to Pydantic, adding JSON schema long pre version one. So the reason it was added was for OpenAPI, which is obviously closely akin to JSON schema. And then, yeah, I don't know why it was JSON that got picked up and used by OpenAI. It was obviously very convenient for us. That's because it meant that not only can you do the validation, but because Pydantic will generate you the JSON schema, it will it kind of can be one source of source of truth for structured outputs and tools.Swyx [00:03:09]: Before we dive in further on the on the AI side of things, something I'm mildly curious about, obviously, there's Zod in JavaScript land. Every now and then there is a new sort of in vogue validation library that that takes over for quite a few years and then maybe like some something else comes along. Is Pydantic? Is it done like the core Pydantic?Samuel [00:03:30]: I've just come off a call where we were redesigning some of the internal bits. There will be a v3 at some point, which will not break people's code half as much as v2 as in v2 was the was the massive rewrite into Rust, but also fixing all the stuff that was broken back from like version zero point something that we didn't fix in v1 because it was a side project. We have plans to move some of the basically store the data in Rust types after validation. Not completely. So we're still working to design the Pythonic version of it, in order for it to be able to convert into Python types. So then if you were doing like validation and then serialization, you would never have to go via a Python type we reckon that can give us somewhere between three and five times another three to five times speed up. That's probably the biggest thing. Also, like changing how easy it is to basically extend Pydantic and define how particular types, like for example, NumPy arrays are validated and serialized. But there's also stuff going on. And for example, Jitter, the JSON library in Rust that does the JSON parsing, has SIMD implementation at the moment only for AMD64. So we can add that. We need to go and add SIMD for other instruction sets. So there's a bunch more we can do on performance. I don't think we're going to go and revolutionize Pydantic, but it's going to continue to get faster, continue, hopefully, to allow people to do more advanced things. We might add a binary format like CBOR for serialization for when you'll just want to put the data into a database and probably load it again from Pydantic. So there are some things that will come along, but for the most part, it should just get faster and cleaner.Alessio [00:05:04]: From a focus perspective, I guess, as a founder too, how did you think about the AI interest rising? And then how do you kind of prioritize, okay, this is worth going into more, and we'll talk about Pydantic AI and all of that. What was maybe your early experience with LLAMP, and when did you figure out, okay, this is something we should take seriously and focus more resources on it?Samuel [00:05:28]: I'll answer that, but I'll answer what I think is a kind of parallel question, which is Pydantic's weird, because Pydantic existed, obviously, before I was starting a company. I was working on it in my spare time, and then beginning of 22, I started working on the rewrite in Rust. And I worked on it full-time for a year and a half, and then once we started the company, people came and joined. And it was a weird project, because that would never go away. You can't get signed off inside a startup. Like, we're going to go off and three engineers are going to work full-on for a year in Python and Rust, writing like 30,000 lines of Rust just to release open-source-free Python library. The result of that has been excellent for us as a company, right? As in, it's made us remain entirely relevant. And it's like, Pydantic is not just used in the SDKs of all of the AI libraries, but I can't say which one, but one of the big foundational model companies, when they upgraded from Pydantic v1 to v2, their number one internal model... The metric of performance is time to first token. That went down by 20%. So you think about all of the actual AI going on inside, and yet at least 20% of the CPU, or at least the latency inside requests was actually Pydantic, which shows like how widely it's used. So we've benefited from doing that work, although it didn't, it would have never have made financial sense in most companies. In answer to your question about like, how do we prioritize AI, I mean, the honest truth is we've spent a lot of the last year and a half building. Good general purpose observability inside LogFire and making Pydantic good for general purpose use cases. And the AI has kind of come to us. Like we just, not that we want to get away from it, but like the appetite, uh, both in Pydantic and in LogFire to go and build with AI is enormous because it kind of makes sense, right? Like if you're starting a new greenfield project in Python today, what's the chance that you're using GenAI 80%, let's say, globally, obviously it's like a hundred percent in California, but even worldwide, it's probably 80%. Yeah. And so everyone needs that stuff. And there's so much yet to be figured out so much like space to do things better in the ecosystem in a way that like to go and implement a database that's better than Postgres is a like Sisyphean task. Whereas building, uh, tools that are better for GenAI than some of the stuff that's about now is not very difficult. Putting the actual models themselves to one side.Alessio [00:07:40]: And then at the same time, then you released Pydantic AI recently, which is, uh, um, you know, agent framework and early on, I would say everybody like, you know, Langchain and like, uh, Pydantic kind of like a first class support, a lot of these frameworks, we're trying to use you to be better. What was the decision behind we should do our own framework? Were there any design decisions that you disagree with any workloads that you think people didn't support? Well,Samuel [00:08:05]: it wasn't so much like design and workflow, although I think there were some, some things we've done differently. Yeah. I think looking in general at the ecosystem of agent frameworks, the engineering quality is far below that of the rest of the Python ecosystem. There's a bunch of stuff that we have learned how to do over the last 20 years of building Python libraries and writing Python code that seems to be abandoned by people when they build agent frameworks. Now I can kind of respect that, particularly in the very first agent frameworks, like Langchain, where they were literally figuring out how to go and do this stuff. It's completely understandable that you would like basically skip some stuff.Samuel [00:08:42]: I'm shocked by the like quality of some of the agent frameworks that have come out recently from like well-respected names, which it just seems to be opportunism and I have little time for that, but like the early ones, like I think they were just figuring out how to do stuff and just as lots of people have learned from Pydantic, we were able to learn a bit from them. I think from like the gap we saw and the thing we were frustrated by was the production readiness. And that means things like type checking, even if type checking makes it hard. Like Pydantic AI, I will put my hand up now and say it has a lot of generics and you need to, it's probably easier to use it if you've written a bit of Rust and you really understand generics, but like, and that is, we're not claiming that that makes it the easiest thing to use in all cases, we think it makes it good for production applications in big systems where type checking is a no-brainer in Python. But there are also a bunch of stuff we've learned from maintaining Pydantic over the years that we've gone and done. So every single example in Pydantic AI's documentation is run on Python. As part of tests and every single print output within an example is checked during tests. So it will always be up to date. And then a bunch of things that, like I say, are standard best practice within the rest of the Python ecosystem, but I'm not followed surprisingly by some AI libraries like coverage, linting, type checking, et cetera, et cetera, where I think these are no-brainers, but like weirdly they're not followed by some of the other libraries.Alessio [00:10:04]: And can you just give an overview of the framework itself? I think there's kind of like the. LLM calling frameworks, there are the multi-agent frameworks, there's the workflow frameworks, like what does Pydantic AI do?Samuel [00:10:17]: I glaze over a bit when I hear all of the different sorts of frameworks, but I like, and I will tell you when I built Pydantic, when I built Logfire and when I built Pydantic AI, my methodology is not to go and like research and review all of the other things. I kind of work out what I want and I go and build it and then feedback comes and we adjust. So the fundamental building block of Pydantic AI is agents. The exact definition of agents and how you want to define them. is obviously ambiguous and our things are probably sort of agent-lit, not that we would want to go and rename them to agent-lit, but like the point is you probably build them together to build something and most people will call an agent. So an agent in our case has, you know, things like a prompt, like system prompt and some tools and a structured return type if you want it, that covers the vast majority of cases. There are situations where you want to go further and the most complex workflows where you want graphs and I resisted graphs for quite a while. I was sort of of the opinion you didn't need them and you could use standard like Python flow control to do all of that stuff. I had a few arguments with people, but I basically came around to, yeah, I can totally see why graphs are useful. But then we have the problem that by default, they're not type safe because if you have a like add edge method where you give the names of two different edges, there's no type checking, right? Even if you go and do some, I'm not, not all the graph libraries are AI specific. So there's a, there's a graph library called, but it allows, it does like a basic runtime type checking. Ironically using Pydantic to try and make up for the fact that like fundamentally that graphs are not typed type safe. Well, I like Pydantic, but it did, that's not a real solution to have to go and run the code to see if it's safe. There's a reason that starting type checking is so powerful. And so we kind of, from a lot of iteration eventually came up with a system of using normally data classes to define nodes where you return the next node you want to call and where we're able to go and introspect the return type of a node to basically build the graph. And so the graph is. Yeah. Inherently type safe. And once we got that right, I, I wasn't, I'm incredibly excited about graphs. I think there's like masses of use cases for them, both in gen AI and other development, but also software's all going to have interact with gen AI, right? It's going to be like web. There's no longer be like a web department in a company is that there's just like all the developers are building for web building with databases. The same is going to be true for gen AI.Alessio [00:12:33]: Yeah. I see on your docs, you call an agent, a container that contains a system prompt function. Tools, structure, result, dependency type model, and then model settings. Are the graphs in your mind, different agents? Are they different prompts for the same agent? What are like the structures in your mind?Samuel [00:12:52]: So we were compelled enough by graphs once we got them right, that we actually merged the PR this morning. That means our agent implementation without changing its API at all is now actually a graph under the hood as it is built using our graph library. So graphs are basically a lower level tool that allow you to build these complex workflows. Our agents are technically one of the many graphs you could go and build. And we just happened to build that one for you because it's a very common, commonplace one. But obviously there are cases where you need more complex workflows where the current agent assumptions don't work. And that's where you can then go and use graphs to build more complex things.Swyx [00:13:29]: You said you were cynical about graphs. What changed your mind specifically?Samuel [00:13:33]: I guess people kept giving me examples of things that they wanted to use graphs for. And my like, yeah, but you could do that in standard flow control in Python became a like less and less compelling argument to me because I've maintained those systems that end up with like spaghetti code. And I could see the appeal of this like structured way of defining the workflow of my code. And it's really neat that like just from your code, just from your type hints, you can get out a mermaid diagram that defines exactly what can go and happen.Swyx [00:14:00]: Right. Yeah. You do have very neat implementation of sort of inferring the graph from type hints, I guess. Yeah. Is what I would call it. Yeah. I think the question always is I have gone back and forth. I used to work at Temporal where we would actually spend a lot of time complaining about graph based workflow solutions like AWS step functions. And we would actually say that we were better because you could use normal control flow that you already knew and worked with. Yours, I guess, is like a little bit of a nice compromise. Like it looks like normal Pythonic code. But you just have to keep in mind what the type hints actually mean. And that's what we do with the quote unquote magic that the graph construction does.Samuel [00:14:42]: Yeah, exactly. And if you look at the internal logic of actually running a graph, it's incredibly simple. It's basically call a node, get a node back, call that node, get a node back, call that node. If you get an end, you're done. We will add in soon support for, well, basically storage so that you can store the state between each node that's run. And then the idea is you can then distribute the graph and run it across computers. And also, I mean, the other weird, the other bit that's really valuable is across time. Because it's all very well if you look at like lots of the graph examples that like Claude will give you. If it gives you an example, it gives you this lovely enormous mermaid chart of like the workflow, for example, managing returns if you're an e-commerce company. But what you realize is some of those lines are literally one function calls another function. And some of those lines are wait six days for the customer to print their like piece of paper and put it in the post. And if you're writing like your demo. Project or your like proof of concept, that's fine because you can just say, and now we call this function. But when you're building when you're in real in real life, that doesn't work. And now how do we manage that concept to basically be able to start somewhere else in the in our code? Well, this graph implementation makes it incredibly easy because you just pass the node that is the start point for carrying on the graph and it continues to run. So it's things like that where I was like, yeah, I can just imagine how things I've done in the past would be fundamentally easier to understand if we had done them with graphs.Swyx [00:16:07]: You say imagine, but like right now, this pedantic AI actually resume, you know, six days later, like you said, or is this just like a theoretical thing we can go someday?Samuel [00:16:16]: I think it's basically Q&A. So there's an AI that's asking the user a question and effectively you then call the CLI again to continue the conversation. And it basically instantiates the node and calls the graph with that node again. Now, we don't have the logic yet for effectively storing state in the database between individual nodes that we're going to add soon. But like the rest of it is basically there.Swyx [00:16:37]: It does make me think that not only are you competing with Langchain now and obviously Instructor, and now you're going into sort of the more like orchestrated things like Airflow, Prefect, Daxter, those guys.Samuel [00:16:52]: Yeah, I mean, we're good friends with the Prefect guys and Temporal have the same investors as us. And I'm sure that my investor Bogomol would not be too happy if I was like, oh, yeah, by the way, as well as trying to take on Datadog. We're also going off and trying to take on Temporal and everyone else doing that. Obviously, we're not doing all of the infrastructure of deploying that right yet, at least. We're, you know, we're just building a Python library. And like what's crazy about our graph implementation is, sure, there's a bit of magic in like introspecting the return type, you know, extracting things from unions, stuff like that. But like the actual calls, as I say, is literally call a function and get back a thing and call that. It's like incredibly simple and therefore easy to maintain. The question is, how useful is it? Well, I don't know yet. I think we have to go and find out. We have a whole. We've had a slew of people joining our Slack over the last few days and saying, tell me how good Pydantic AI is. How good is Pydantic AI versus Langchain? And I refuse to answer. That's your job to go and find that out. Not mine. We built a thing. I'm compelled by it, but I'm obviously biased. The ecosystem will work out what the useful tools are.Swyx [00:17:52]: Bogomol was my board member when I was at Temporal. And I think I think just generally also having been a workflow engine investor and participant in this space, it's a big space. Like everyone needs different functions. I think the one thing that I would say like yours, you know, as a library, you don't have that much control of it over the infrastructure. I do like the idea that each new agents or whatever or unit of work, whatever you call that should spin up in this sort of isolated boundaries. Whereas yours, I think around everything runs in the same process. But you ideally want to sort of spin out its own little container of things.Samuel [00:18:30]: I agree with you a hundred percent. And we will. It would work now. Right. As in theory, you're just like as long as you can serialize the calls to the next node, you just have to all of the different containers basically have to have the same the same code. I mean, I'm super excited about Cloudflare workers running Python and being able to install dependencies. And if Cloudflare could only give me my invitation to the private beta of that, we would be exploring that right now because I'm super excited about that as a like compute level for some of this stuff where exactly what you're saying, basically. You can run everything as an individual. Like worker function and distribute it. And it's resilient to failure, et cetera, et cetera.Swyx [00:19:08]: And it spins up like a thousand instances simultaneously. You know, you want it to be sort of truly serverless at once. Actually, I know we have some Cloudflare friends who are listening, so hopefully they'll get in front of the line. Especially.Samuel [00:19:19]: I was in Cloudflare's office last week shouting at them about other things that frustrate me. I have a love-hate relationship with Cloudflare. Their tech is awesome. But because I use it the whole time, I then get frustrated. So, yeah, I'm sure I will. I will. I will get there soon.Swyx [00:19:32]: There's a side tangent on Cloudflare. Is Python supported at full? I actually wasn't fully aware of what the status of that thing is.Samuel [00:19:39]: Yeah. So Pyodide, which is Python running inside the browser in scripting, is supported now by Cloudflare. They basically, they're having some struggles working out how to manage, ironically, dependencies that have binaries, in particular, Pydantic. Because these workers where you can have thousands of them on a given metal machine, you don't want to have a difference. You basically want to be able to have a share. Shared memory for all the different Pydantic installations, effectively. That's the thing they work out. They're working out. But Hood, who's my friend, who is the primary maintainer of Pyodide, works for Cloudflare. And that's basically what he's doing, is working out how to get Python running on Cloudflare's network.Swyx [00:20:19]: I mean, the nice thing is that your binary is really written in Rust, right? Yeah. Which also compiles the WebAssembly. Yeah. So maybe there's a way that you'd build... You have just a different build of Pydantic and that ships with whatever your distro for Cloudflare workers is.Samuel [00:20:36]: Yes, that's exactly what... So Pyodide has builds for Pydantic Core and for things like NumPy and basically all of the popular binary libraries. Yeah. It's just basic. And you're doing exactly that, right? You're using Rust to compile the WebAssembly and then you're calling that shared library from Python. And it's unbelievably complicated, but it works. Okay.Swyx [00:20:57]: Staying on graphs a little bit more, and then I wanted to go to some of the other features that you have in Pydantic AI. I see in your docs, there are sort of four levels of agents. There's single agents, there's agent delegation, programmatic agent handoff. That seems to be what OpenAI swarms would be like. And then the last one, graph-based control flow. Would you say that those are sort of the mental hierarchy of how these things go?Samuel [00:21:21]: Yeah, roughly. Okay.Swyx [00:21:22]: You had some expression around OpenAI swarms. Well.Samuel [00:21:25]: And indeed, OpenAI have got in touch with me and basically, maybe I'm not supposed to say this, but basically said that Pydantic AI looks like what swarms would become if it was production ready. So, yeah. I mean, like, yeah, which makes sense. Awesome. Yeah. I mean, in fact, it was specifically saying, how can we give people the same feeling that they were getting from swarms that led us to go and implement graphs? Because my, like, just call the next agent with Python code was not a satisfactory answer to people. So it was like, okay, we've got to go and have a better answer for that. It's not like, let us to get to graphs. Yeah.Swyx [00:21:56]: I mean, it's a minimal viable graph in some sense. What are the shapes of graphs that people should know? So the way that I would phrase this is I think Anthropic did a very good public service and also kind of surprisingly influential blog post, I would say, when they wrote Building Effective Agents. We actually have the authors coming to speak at my conference in New York, which I think you're giving a workshop at. Yeah.Samuel [00:22:24]: I'm trying to work it out. But yes, I think so.Swyx [00:22:26]: Tell me if you're not. yeah, I mean, like, that was the first, I think, authoritative view of, like, what kinds of graphs exist in agents and let's give each of them a name so that everyone is on the same page. So I'm just kind of curious if you have community names or top five patterns of graphs.Samuel [00:22:44]: I don't have top five patterns of graphs. I would love to see what people are building with them. But like, it's been it's only been a couple of weeks. And of course, there's a point is that. Because they're relatively unopinionated about what you can go and do with them. They don't suit them. Like, you can go and do lots of lots of things with them, but they don't have the structure to go and have like specific names as much as perhaps like some other systems do. I think what our agents are, which have a name and I can't remember what it is, but this basically system of like, decide what tool to call, go back to the center, decide what tool to call, go back to the center and then exit. One form of graph, which, as I say, like our agents are effectively one implementation of a graph, which is why under the hood they are now using graphs. And it'll be interesting to see over the next few years whether we end up with these like predefined graph names or graph structures or whether it's just like, yep, I built a graph or whether graphs just turn out not to match people's mental image of what they want and die away. We'll see.Swyx [00:23:38]: I think there is always appeal. Every developer eventually gets graph religion and goes, oh, yeah, everything's a graph. And then they probably over rotate and go go too far into graphs. And then they have to learn a whole bunch of DSLs. And then they're like, actually, I didn't need that. I need this. And they scale back a little bit.Samuel [00:23:55]: I'm at the beginning of that process. I'm currently a graph maximalist, although I haven't actually put any into production yet. But yeah.Swyx [00:24:02]: This has a lot of philosophical connections with other work coming out of UC Berkeley on compounding AI systems. I don't know if you know of or care. This is the Gartner world of things where they need some kind of industry terminology to sell it to enterprises. I don't know if you know about any of that.Samuel [00:24:24]: I haven't. I probably should. I should probably do it because I should probably get better at selling to enterprises. But no, no, I don't. Not right now.Swyx [00:24:29]: This is really the argument is that instead of putting everything in one model, you have more control and more maybe observability to if you break everything out into composing little models and changing them together. And obviously, then you need an orchestration framework to do that. Yeah.Samuel [00:24:47]: And it makes complete sense. And one of the things we've seen with agents is they work well when they work well. But when they. Even if you have the observability through log five that you can see what was going on, if you don't have a nice hook point to say, hang on, this is all gone wrong. You have a relatively blunt instrument of basically erroring when you exceed some kind of limit. But like what you need to be able to do is effectively iterate through these runs so that you can have your own control flow where you're like, OK, we've gone too far. And that's where one of the neat things about our graph implementation is you can basically call next in a loop rather than just running the full graph. And therefore, you have this opportunity to to break out of it. But yeah, basically, it's the same point, which is like if you have two bigger unit of work to some extent, whether or not it involves gen AI. But obviously, it's particularly problematic in gen AI. You only find out afterwards when you've spent quite a lot of time and or money when it's gone off and done done the wrong thing.Swyx [00:25:39]: Oh, drop on this. We're not going to resolve this here, but I'll drop this and then we can move on to the next thing. This is the common way that we we developers talk about this. And then the machine learning researchers look at us. And laugh and say, that's cute. And then they just train a bigger model and they wipe us out in the next training run. So I think there's a certain amount of we are fighting the bitter lesson here. We're fighting AGI. And, you know, when AGI arrives, this will all go away. Obviously, on Latent Space, we don't really discuss that because I think AGI is kind of this hand wavy concept that isn't super relevant. But I think we have to respect that. For example, you could do a chain of thoughts with graphs and you could manually orchestrate a nice little graph that does like. Reflect, think about if you need more, more inference time, compute, you know, that's the hot term now. And then think again and, you know, scale that up. Or you could train Strawberry and DeepSeq R1. Right.Samuel [00:26:32]: I saw someone saying recently, oh, they were really optimistic about agents because models are getting faster exponentially. And I like took a certain amount of self-control not to describe that it wasn't exponential. But my main point was. If models are getting faster as quickly as you say they are, then we don't need agents and we don't really need any of these abstraction layers. We can just give our model and, you know, access to the Internet, cross our fingers and hope for the best. Agents, agent frameworks, graphs, all of this stuff is basically making up for the fact that right now the models are not that clever. In the same way that if you're running a customer service business and you have loads of people sitting answering telephones, the less well trained they are, the less that you trust them, the more that you need to give them a script to go through. Whereas, you know, so if you're running a bank and you have lots of customer service people who you don't trust that much, then you tell them exactly what to say. If you're doing high net worth banking, you just employ people who you think are going to be charming to other rich people and set them off to go and have coffee with people. Right. And the same is true of models. The more intelligent they are, the less we need to tell them, like structure what they go and do and constrain the routes in which they take.Swyx [00:27:42]: Yeah. Yeah. Agree with that. So I'm happy to move on. So the other parts of Pydantic AI that are worth commenting on, and this is like my last rant, I promise. So obviously, every framework needs to do its sort of model adapter layer, which is, oh, you can easily swap from OpenAI to Cloud to Grok. You also have, which I didn't know about, Google GLA, which I didn't really know about until I saw this in your docs, which is generative language API. I assume that's AI Studio? Yes.Samuel [00:28:13]: Google don't have good names for it. So Vertex is very clear. That seems to be the API that like some of the things use, although it returns 503 about 20% of the time. So... Vertex? No. Vertex, fine. But the... Oh, oh. GLA. Yeah. Yeah.Swyx [00:28:28]: I agree with that.Samuel [00:28:29]: So we have, again, another example of like, well, I think we go the extra mile in terms of engineering is we run on every commit, at least commit to main, we run tests against the live models. Not lots of tests, but like a handful of them. Oh, okay. And we had a point last week where, yeah, GLA is a little bit better. GLA1 was failing every single run. One of their tests would fail. And we, I think we might even have commented out that one at the moment. So like all of the models fail more often than you might expect, but like that one seems to be particularly likely to fail. But Vertex is the same API, but much more reliable.Swyx [00:29:01]: My rant here is that, you know, versions of this appear in Langchain and every single framework has to have its own little thing, a version of that. I would put to you, and then, you know, this is, this can be agree to disagree. This is not needed in Pydantic AI. I would much rather you adopt a layer like Lite LLM or what's the other one in JavaScript port key. And that's their job. They focus on that one thing and they, they normalize APIs for you. All new models are automatically added and you don't have to duplicate this inside of your framework. So for example, if I wanted to use deep seek, I'm out of luck because Pydantic AI doesn't have deep seek yet.Samuel [00:29:38]: Yeah, it does.Swyx [00:29:39]: Oh, it does. Okay. I'm sorry. But you know what I mean? Should this live in your code or should it live in a layer that's kind of your API gateway that's a defined piece of infrastructure that people have?Samuel [00:29:49]: And I think if a company who are well known, who are respected by everyone had come along and done this at the right time, maybe we should have done it a year and a half ago and said, we're going to be the universal AI layer. That would have been a credible thing to do. I've heard varying reports of Lite LLM is the truth. And it didn't seem to have exactly the type safety that we needed. Also, as I understand it, and again, I haven't looked into it in great detail. Part of their business model is proxying the request through their, through their own system to do the generalization. That would be an enormous put off to an awful lot of people. Honestly, the truth is I don't think it is that much work unifying the model. I get where you're coming from. I kind of see your point. I think the truth is that everyone is centralizing around open AIs. Open AI's API is the one to do. So DeepSeq support that. Grok with OK support that. Ollama also does it. I mean, if there is that library right now, it's more or less the open AI SDK. And it's very high quality. It's well type checked. It uses Pydantic. So I'm biased. But I mean, I think it's pretty well respected anyway.Swyx [00:30:57]: There's different ways to do this. Because also, it's not just about normalizing the APIs. You have to do secret management and all that stuff.Samuel [00:31:05]: Yeah. And there's also. There's Vertex and Bedrock, which to one extent or another, effectively, they host multiple models, but they don't unify the API. But they do unify the auth, as I understand it. Although we're halfway through doing Bedrock. So I don't know about it that well. But they're kind of weird hybrids because they support multiple models. But like I say, the auth is centralized.Swyx [00:31:28]: Yeah, I'm surprised they don't unify the API. That seems like something that I would do. You know, we can discuss all this all day. There's a lot of APIs. I agree.Samuel [00:31:36]: It would be nice if there was a universal one that we didn't have to go and build.Alessio [00:31:39]: And I guess the other side of, you know, routing model and picking models like evals. How do you actually figure out which one you should be using? I know you have one. First of all, you have very good support for mocking in unit tests, which is something that a lot of other frameworks don't do. So, you know, my favorite Ruby library is VCR because it just, you know, it just lets me store the HTTP requests and replay them. That part I'll kind of skip. I think you are busy like this test model. We're like just through Python. You try and figure out what the model might respond without actually calling the model. And then you have the function model where people can kind of customize outputs. Any other fun stories maybe from there? Or is it just what you see is what you get, so to speak?Samuel [00:32:18]: On those two, I think what you see is what you get. On the evals, I think watch this space. I think it's something that like, again, I was somewhat cynical about for some time. Still have my cynicism about some of the well, it's unfortunate that so many different things are called evals. It would be nice if we could agree. What they are and what they're not. But look, I think it's a really important space. I think it's something that we're going to be working on soon, both in Pydantic AI and in LogFire to try and support better because it's like it's an unsolved problem.Alessio [00:32:45]: Yeah, you do say in your doc that anyone who claims to know for sure exactly how your eval should be defined can safely be ignored.Samuel [00:32:52]: We'll delete that sentence when we tell people how to do their evals.Alessio [00:32:56]: Exactly. I was like, we need we need a snapshot of this today. And so let's talk about eval. So there's kind of like the vibe. Yeah. So you have evals, which is what you do when you're building. Right. Because you cannot really like test it that many times to get statistical significance. And then there's the production eval. So you also have LogFire, which is kind of like your observability product, which I tried before. It's very nice. What are some of the learnings you've had from building an observability tool for LEMPs? And yeah, as people think about evals, even like what are the right things to measure? What are like the right number of samples that you need to actually start making decisions?Samuel [00:33:33]: I'm not the best person to answer that is the truth. So I'm not going to come in here and tell you that I think I know the answer on the exact number. I mean, we can do some back of the envelope statistics calculations to work out that like having 30 probably gets you most of the statistical value of having 200 for, you know, by definition, 15% of the work. But the exact like how many examples do you need? For example, that's a much harder question to answer because it's, you know, it's deep within the how models operate in terms of LogFire. One of the reasons we built LogFire the way we have and we allow you to write SQL directly against your data and we're trying to build the like powerful fundamentals of observability is precisely because we know we don't know the answers. And so allowing people to go and innovate on how they're going to consume that stuff and how they're going to process it is we think that's valuable. Because even if we come along and offer you an evals framework on top of LogFire, it won't be right in all regards. And we want people to be able to go and innovate and being able to write their own SQL connected to the API. And effectively query the data like it's a database with SQL allows people to innovate on that stuff. And that's what allows us to do it as well. I mean, we do a bunch of like testing what's possible by basically writing SQL directly against LogFire as any user could. I think the other the other really interesting bit that's going on in observability is OpenTelemetry is centralizing around semantic attributes for GenAI. So it's a relatively new project. A lot of it's still being added at the moment. But basically the idea that like. They unify how both SDKs and or agent frameworks send observability data to to any OpenTelemetry endpoint. And so, again, we can go and having that unification allows us to go and like basically compare different libraries, compare different models much better. That stuff's in a very like early stage of development. One of the things we're going to be working on pretty soon is basically, I suspect, GenAI will be the first agent framework that implements those semantic attributes properly. Because, again, we control and we can say this is important for observability, whereas most of the other agent frameworks are not maintained by people who are trying to do observability. With the exception of Langchain, where they have the observability platform, but they chose not to go down the OpenTelemetry route. So they're like plowing their own furrow. And, you know, they're a lot they're even further away from standardization.Alessio [00:35:51]: Can you maybe just give a quick overview of how OTEL ties into the AI workflows? There's kind of like the question of is, you know, a trace. And a span like a LLM call. Is it the agent? It's kind of like the broader thing you're tracking. How should people think about it?Samuel [00:36:06]: Yeah, so they have a PR that I think may have now been merged from someone at IBM talking about remote agents and trying to support this concept of remote agents within GenAI. I'm not particularly compelled by that because I don't think that like that's actually by any means the common use case. But like, I suppose it's fine for it to be there. The majority of the stuff in OTEL is basically defining how you would instrument. A given call to an LLM. So basically the actual LLM call, what data you would send to your telemetry provider, how you would structure that. Apart from this slightly odd stuff on remote agents, most of the like agent level consideration is not yet implemented in is not yet decided effectively. And so there's a bit of ambiguity. Obviously, what's good about OTEL is you can in the end send whatever attributes you like. But yeah, there's quite a lot of churn in that space and exactly how we store the data. I think that one of the most interesting things, though, is that if you think about observability. Traditionally, it was sure everyone would say our observability data is very important. We must keep it safe. But actually, companies work very hard to basically not have anything that sensitive in their observability data. So if you're a doctor in a hospital and you search for a drug for an STI, the sequel might be sent to the observability provider. But none of the parameters would. It wouldn't have the patient number or their name or the drug. With GenAI, that distinction doesn't exist because it's all just messed up in the text. If you have that same patient asking an LLM how to. What drug they should take or how to stop smoking. You can't extract the PII and not send it to the observability platform. So the sensitivity of the data that's going to end up in observability platforms is going to be like basically different order of magnitude to what's in what you would normally send to Datadog. Of course, you can make a mistake and send someone's password or their card number to Datadog. But that would be seen as a as a like mistake. Whereas in GenAI, a lot of data is going to be sent. And I think that's why companies like Langsmith and are trying hard to offer observability. On prem, because there's a bunch of companies who are happy for Datadog to be cloud hosted, but want self-hosted self-hosting for this observability stuff with GenAI.Alessio [00:38:09]: And are you doing any of that today? Because I know in each of the spans you have like the number of tokens, you have the context, you're just storing everything. And then you're going to offer kind of like a self-hosting for the platform, basically. Yeah. Yeah.Samuel [00:38:23]: So we have scrubbing roughly equivalent to what the other observability platforms have. So if we, you know, if we see password as the key, we won't send the value. But like, like I said, that doesn't really work in GenAI. So we're accepting we're going to have to store a lot of data and then we'll offer self-hosting for those people who can afford it and who need it.Alessio [00:38:42]: And then this is, I think, the first time that most of the workloads performance is depending on a third party. You know, like if you're looking at Datadog data, usually it's your app that is driving the latency and like the memory usage and all of that. Here you're going to have spans that maybe take a long time to perform because the GLA API is not working or because OpenAI is kind of like overwhelmed. Do you do anything there since like the provider is almost like the same across customers? You know, like, are you trying to surface these things for people and say, hey, this was like a very slow span, but actually all customers using OpenAI right now are seeing the same thing. So maybe don't worry about it or.Samuel [00:39:20]: Not yet. We do a few things that people don't generally do in OTA. So we send. We send information at the beginning. At the beginning of a trace as well as sorry, at the beginning of a span, as well as when it finishes. By default, OTA only sends you data when the span finishes. So if you think about a request which might take like 20 seconds, even if some of the intermediate spans finished earlier, you can't basically place them on the page until you get the top level span. And so if you're using standard OTA, you can't show anything until those requests are finished. When those requests are taking a few hundred milliseconds, it doesn't really matter. But when you're doing Gen AI calls or when you're like running a batch job that might take 30 minutes. That like latency of not being able to see the span is like crippling to understanding your application. And so we've we do a bunch of slightly complex stuff to basically send data about a span as it starts, which is closely related. Yeah.Alessio [00:40:09]: Any thoughts on all the other people trying to build on top of OpenTelemetry in different languages, too? There's like the OpenLEmetry project, which doesn't really roll off the tongue. But how do you see the future of these kind of tools? Is everybody going to have to build? Why does everybody want to build? They want to build their own open source observability thing to then sell?Samuel [00:40:29]: I mean, we are not going off and trying to instrument the likes of the OpenAI SDK with the new semantic attributes, because at some point that's going to happen and it's going to live inside OTEL and we might help with it. But we're a tiny team. We don't have time to go and do all of that work. So OpenLEmetry, like interesting project. But I suspect eventually most of those semantic like that instrumentation of the big of the SDKs will live, like I say, inside the main OpenTelemetry report. I suppose. What happens to the agent frameworks? What data you basically need at the framework level to get the context is kind of unclear. I don't think we know the answer yet. But I mean, I was on the, I guess this is kind of semi-public, because I was on the call with the OpenTelemetry call last week talking about GenAI. And there was someone from Arize talking about the challenges they have trying to get OpenTelemetry data out of Langchain, where it's not like natively implemented. And obviously they're having quite a tough time. And I was realizing, hadn't really realized this before, but how lucky we are to primarily be talking about our own agent framework, where we have the control rather than trying to go and instrument other people's.Swyx [00:41:36]: Sorry, I actually didn't know about this semantic conventions thing. It looks like, yeah, it's merged into main OTel. What should people know about this? I had never heard of it before.Samuel [00:41:45]: Yeah, I think it looks like a great start. I think there's some unknowns around how you send the messages that go back and forth, which is kind of the most important part. It's the most important thing of all. And that is moved out of attributes and into OTel events. OTel events in turn are moving from being on a span to being their own top-level API where you send data. So there's a bunch of churn still going on. I'm impressed by how fast the OTel community is moving on this project. I guess they, like everyone else, get that this is important, and it's something that people are crying out to get instrumentation off. So I'm kind of pleasantly surprised at how fast they're moving, but it makes sense.Swyx [00:42:25]: I'm just kind of browsing through the specification. I can already see that this basically bakes in whatever the previous paradigm was. So now they have genai.usage.prompt tokens and genai.usage.completion tokens. And obviously now we have reasoning tokens as well. And then only one form of sampling, which is top-p. You're basically baking in or sort of reifying things that you think are important today, but it's not a super foolproof way of doing this for the future. Yeah.Samuel [00:42:54]: I mean, that's what's neat about OTel is you can always go and send another attribute and that's fine. It's just there are a bunch that are agreed on. But I would say, you know, to come back to your previous point about whether or not we should be relying on one centralized abstraction layer, this stuff is moving so fast that if you start relying on someone else's standard, you risk basically falling behind because you're relying on someone else to keep things up to date.Swyx [00:43:14]: Or you fall behind because you've got other things going on.Samuel [00:43:17]: Yeah, yeah. That's fair. That's fair.Swyx [00:43:19]: Any other observations just about building LogFire, actually? Let's just talk about this. So you announced LogFire. I was kind of only familiar with LogFire because of your Series A announcement. I actually thought you were making a separate company. I remember some amount of confusion with you when that came out. So to be clear, it's Pydantic LogFire and the company is one company that has kind of two products, an open source thing and an observability thing, correct? Yeah. I was just kind of curious, like any learnings building LogFire? So classic question is, do you use ClickHouse? Is this like the standard persistence layer? Any learnings doing that?Samuel [00:43:54]: We don't use ClickHouse. We started building our database with ClickHouse, moved off ClickHouse onto Timescale, which is a Postgres extension to do analytical databases. Wow. And then moved off Timescale onto DataFusion. And we're basically now building, it's DataFusion, but it's kind of our own database. Bogomil is not entirely happy that we went through three databases before we chose one. I'll say that. But like, we've got to the right one in the end. I think we could have realized that Timescale wasn't right. I think ClickHouse. They both taught us a lot and we're in a great place now. But like, yeah, it's been a real journey on the database in particular.Swyx [00:44:28]: Okay. So, you know, as a database nerd, I have to like double click on this, right? So ClickHouse is supposed to be the ideal backend for anything like this. And then moving from ClickHouse to Timescale is another counterintuitive move that I didn't expect because, you know, Timescale is like an extension on top of Postgres. Not super meant for like high volume logging. But like, yeah, tell us those decisions.Samuel [00:44:50]: So at the time, ClickHouse did not have good support for JSON. I was speaking to someone yesterday and said ClickHouse doesn't have good support for JSON and got roundly stepped on because apparently it does now. So they've obviously gone and built their proper JSON support. But like back when we were trying to use it, I guess a year ago or a bit more than a year ago, everything happened to be a map and maps are a pain to try and do like looking up JSON type data. And obviously all these attributes, everything you're talking about there in terms of the GenAI stuff. You can choose to make them top level columns if you want. But the simplest thing is just to put them all into a big JSON pile. And that was a problem with ClickHouse. Also, ClickHouse had some really ugly edge cases like by default, or at least until I complained about it a lot, ClickHouse thought that two nanoseconds was longer than one second because they compared intervals just by the number, not the unit. And I complained about that a lot. And then they caused it to raise an error and just say you have to have the same unit. Then I complained a bit more. And I think as I understand it now, they have some. They convert between units. But like stuff like that, when all you're looking at is when a lot of what you're doing is comparing the duration of spans was really painful. Also things like you can't subtract two date times to get an interval. You have to use the date sub function. But like the fundamental thing is because we want our end users to write SQL, the like quality of the SQL, how easy it is to write, matters way more to us than if you're building like a platform on top where your developers are going to write the SQL. And once it's written and it's working, you don't mind too much. So I think that's like one of the fundamental differences. The other problem that I have with the ClickHouse and Impact Timescale is that like the ultimate architecture, the like snowflake architecture of binary data in object store queried with some kind of cache from nearby. They both have it, but it's closed sourced and you only get it if you go and use their hosted versions. And so even if we had got through all the problems with Timescale or ClickHouse, we would end up like, you know, they would want to be taking their 80% margin. And then we would be wanting to take that would basically leave us less space for margin. Whereas data fusion. Properly open source, all of that same tooling is open source. And for us as a team of people with a lot of Rust expertise, data fusion, which is implemented in Rust, we can literally dive into it and go and change it. So, for example, I found that there were some slowdowns in data fusion's string comparison kernel for doing like string contains. And it's just Rust code. And I could go and rewrite the string comparison kernel to be faster. Or, for example, data fusion, when we started using it, didn't have JSON support. Obviously, as I've said, it's something we can do. It's something we needed. I was able to go and implement that in a weekend using our JSON parser that we built for Pydantic Core. So it's the fact that like data fusion is like for us the perfect mixture of a toolbox to build a database with, not a database. And we can go and implement stuff on top of it in a way that like if you were trying to do that in Postgres or in ClickHouse. I mean, ClickHouse would be easier because it's C++, relatively modern C++. But like as a team of people who are not C++ experts, that's much scarier than data fusion for us.Swyx [00:47:47]: Yeah, that's a beautiful rant.Alessio [00:47:49]: That's funny. Most people don't think they have agency on these projects. They're kind of like, oh, I should use this or I should use that. They're not really like, what should I pick so that I contribute the most back to it? You know, so but I think you obviously have an open source first mindset. So that makes a lot of sense.Samuel [00:48:05]: I think if we were probably better as a startup, a better startup and faster moving and just like headlong determined to get in front of customers as fast as possible, we should have just started with ClickHouse. I hope that long term we're in a better place for having worked with data fusion. We like we're quite engaged now with the data fusion community. Andrew Lam, who maintains data fusion, is an advisor to us. We're in a really good place now. But yeah, it's definitely slowed us down relative to just like building on ClickHouse and moving as fast as we can.Swyx [00:48:34]: OK, we're about to zoom out and do Pydantic run and all the other stuff. But, you know, my last question on LogFire is really, you know, at some point you run out sort of community goodwill just because like, oh, I use Pydantic. I love Pydantic. I'm going to use LogFire. OK, then you start entering the territory of the Datadogs, the Sentrys and the honeycombs. Yeah. So where are you going to really spike here? What differentiator here?Samuel [00:48:59]: I wasn't writing code in 2001, but I'm assuming that there were people talking about like web observability and then web observability stopped being a thing, not because the web stopped being a thing, but because all observability had to do web. If you were talking to people in 2010 or 2012, they would have talked about cloud observability. Now that's not a term because all observability is cloud first. The same is going to happen to gen AI. And so whether or not you're trying to compete with Datadog or with Arise and Langsmith, you've got to do first class. You've got to do general purpose observability with first class support for AI. And as far as I know, we're the only people really trying to do that. I mean, I think Datadog is starting in that direction. And to be honest, I think Datadog is a much like scarier company to compete with than the AI specific observability platforms. Because in my opinion, and I've also heard this from lots of customers, AI specific observability where you don't see everything else going on in your app is not actually that useful. Our hope is that we can build the first general purpose observability platform with first class support for AI. And that we have this open source heritage of putting developer experience first that other companies haven't done. For all I'm a fan of Datadog and what they've done. If you search Datadog logging Python. And you just try as a like a non-observability expert to get something up and running with Datadog and Python. It's not trivial, right? That's something Sentry have done amazingly well. But like there's enormous space in most of observability to do DX better.Alessio [00:50:27]: Since you mentioned Sentry, I'm curious how you thought about licensing and all of that. Obviously, your MIT license, you don't have any rolling license like Sentry has where you can only use an open source, like the one year old version of it. Was that a hard decision?Samuel [00:50:41]: So to be clear, LogFire is co-sourced. So Pydantic and Pydantic AI are MIT licensed and like properly open source. And then LogFire for now is completely closed source. And in fact, the struggles that Sentry have had with licensing and the like weird pushback the community gives when they take something that's closed source and make it source available just meant that we just avoided that whole subject matter. I think the other way to look at it is like in terms of either headcount or revenue or dollars in the bank. The amount of open source we do as a company is we've got to be open source. We're up there with the most prolific open source companies, like I say, per head. And so we didn't feel like we were morally obligated to make LogFire open source. We have Pydantic. Pydantic is a foundational library in Python. That and now Pydantic AI are our contribution to open source. And then LogFire is like openly for profit, right? As in we're not claiming otherwise. We're not sort of trying to walk a line if it's open source. But really, we want to make it hard to deploy. So you probably want to pay us. We're trying to be straight. That it's to pay for. We could change that at some point in the future, but it's not an immediate plan.Alessio [00:51:48]: All right. So the first one I saw this new I don't know if it's like a product you're building the Pydantic that run, which is a Python browser sandbox. What was the inspiration behind that? We talk a lot about code interpreter for lamps. I'm an investor in a company called E2B, which is a code sandbox as a service for remote execution. Yeah. What's the Pydantic that run story?Samuel [00:52:09]: So Pydantic that run is again completely open source. I have no interest in making it into a product. We just needed a sandbox to be able to demo LogFire in particular, but also Pydantic AI. So it doesn't have it yet, but I'm going to add basically a proxy to OpenAI and the other models so that you can run Pydantic AI in the browser. See how it works. Tweak the prompt, et cetera, et cetera. And we'll have some kind of limit per day of what you can spend on it or like what the spend is. The other thing we wanted to b

The Blues begin to shake up the roster with the trade of Scott Perunovich and by putting Brandon Saad on waivers, what could be next? Is this where the Blues SHOULD be in the "rebuild" and so much more! Give a listen and share with your hockey loving friends! Learn more about your ad choices. Visit podcastchoices.com/adchoices

The Blues begin to shake up the roster with the trade of Scott Perunovich and by putting Brandon Saad on waivers, what could be next? Is this where the Blues SHOULD be in the "rebuild" and so much more! Give a listen and share with your hockey loving friends! Learn more about your ad choices. Visit podcastchoices.com/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What if you could turn a dull, screen-heavy weekend into a month full of intentional, joyful moments? In this episode, we're diving into the magic of a “January Menu” — a simple, focused list of fun, meaningful activities to make the most of your time. From baking banana bread with the kids to learning quirky new skills like pickling onions, this tweak to your month could transform how you experience winter. Planning isn't about perfection; it's about intentionality. A simple menu of meaningful activities can help you reclaim your time, create lasting memories, and enjoy the moments that matter most.