Electrical device that transfers energy through electromagnetic induction from one circuit to another circuit. It may be used to step up or step down the voltage.
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Le monde du business adore les recettes toutes faites. Scaler vite, standardiser, lever des fonds, déléguer au maximum. Et pourtant, l'un des projets les plus désirables des 20 dernières années s'est construit exactement à l'inverse.Dorothée Meilichzon et Pierre-Charles Cros travaillent ensemble depuis plus de 20 ans.Elle est l'une des architectes d'intérieur les plus reconnues en France ayant gagné de nombreux prix. Lui est cofondateur de l'Experimental Group. Avec une dizaine d'hôtels dans 6 pays, Experimental est l'un des premiers groupes hôteliers à avoir créé une vision lifestyle et expérientielle de l'hospitalité, bien avant que cela devienne à la mode.Ensemble, ils construisent des lieux qui ont une âme.Des hôtels, des bars, des restaurants où l'on ressent immédiatement quelque chose. Et justement, dans cet épisode, on essaie de comprendre pourquoi certains lieux vibrent… et d'autres restent désespérément froids malgré des budgets colossaux.Ce que j'ai adoré dans cette conversation, c'est qu'elle est profondément à contre-courant.Pierre-Charles assume vouloir grandir toujours plus. Dorothée assume l'inverse : rester à taille humaine pour continuer à focaliser son temps sur la création.Cet épisode est profondément sincère et montre qu'il n'existe pas une seule façon de réussir. Et j'avoue m'être reconnue dans beaucoup de choses qu'ils racontent sur la création, l'exigence et le rapport au travail.Enfin, c'est un bonheur d'avoir 2 amis qui se connaissent depuis plus de 20 ans par cœur et se chamaillent en direct ;)Mais je ne vous en dis pas plus et laisse place à ma conversation avec Dorothée Meilichzon et Pierre-Charles Cros.Bonne écoute ✨Chapitrage 00:00 Introduction01:45 L'amour du beau et la recette de leur confiance13:35 Lassitude après 20 ans et où en sont leurs entreprises21:24 Comment naît un hôtel, de l'idée à l'achat29:48 Pourquoi tant de lieux premium manquent d'âme37:12 Leur quotidien et le secret de leur créativité48:19 Le crible du Podcast1:00:52 Les livres recommandés par Dorothée et Pierre-CharlesNotes et références de l'épisode ✨ Pour retrouver Dorothée : Sur InstagramSur son site✨ Pour retrouver Pierre-Charles : Sur LinkedIn✨ Pour retrouver l'Experimental GroupSur le siteSur Instagram✨ Le livre cité dans l'épisode : Kitchen confidential d'Anthony Bourdain*Liens affiliés FnacHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
https://youtu.be/b_G8krkwKv8 Ganesh Krishnan, CEO of AiHello, is helping Amazon sellers automate advertising, improve profitability, and scale their businesses using AI. Driven by a mission to give entrepreneurs more freedom and enable them to build businesses around products they love, Ganesh shares how AI can eliminate repetitive work while allowing business owners to focus on strategy, innovation, and growth. In this conversation, Ganesh introduces The AiHello Ads Framework: Tap into the Wisdom of Crowds, Find the Right Keywords, Bid at the Right Level, Dynamically Adjust Bids, and Rinse and Repeat. He explains how AI can leverage historical marketplace data to identify profitable keywords, optimize bids automatically, and continuously improve campaign performance. Ganesh also discusses the dangers of AI hallucinations, why Amazon's incentives differ from sellers' incentives, how AI has transformed his own company's operations, and his vision for building zero-hallucination AI systems capable of advancing toward artificial superintelligence. — Build AI Superintelligence with Ganesh Krishnan Good day, dear listeners. Steve Preda here, and welcome Ganesh Krishnan, the CEO of AiHello, an Amazon Ads automation company helping you grow your revenues, reduce work hours spent on ads management, and decrease your ad costs. Welcome to the show, Ganesh. Thank you, Steve. Nice to meet you Well, it’s great to have you here, and let’s jump right in. And my first question is, what is your personal ‘Why,’ and how are you manifesting it in AiHello? So it started off with my thesis that we all need to do good towards the planet. A long time ago, I started having my own natural things, selling chemical-free, ecological, sustainable, good-for-the-planet, good-for-your-wallet, good-for-your-health items, and I would sell organic items. And eventually, what I realized was that it was taking a lot of my time marketing, managing it, changing the bids, doing everything. I started working more and more on AI because I’ve worked in AI commercially. I worked in AI in my industry. That was my job. So I said, “Why not use, apply that to my own startup, to my own industry for selling organic things?” And once I started selling it, some of my friends reached out and said, “Can we use your AI for our own businesses?” And I said, “Sure, why not?” And then I started opening it up. And then one person came through and said, “Okay, let’s release it to the general public, see how it goes.” And then as we started earning money, I realized that I don’t need to do a job. I can have this startup, and I can help different people have their own lifestyle. You could have your own lifestyle. You could sell your own stuff that you like, e-commerce, usually on Amazon, and then we help you have your lifestyle. So this is my personal ‘Why’, is we need more equality. We need more people doing stuff they love rather than doing stuff they hate to do, and they hate to wake up and go to work. So do what you love. We are here to empower you. Wow, that’s amazing. So you are empowering people to start their own e-commerce businesses on Amazon, and you help them with AI tools to get up to speed and compete with the big boys. That is correct. Yeah. I love it. So on your LinkedIn profile, you mentioned that you are, I don’t know what the word was that you used, but something to do with superintelligence, AI superintelligence. So what is it that you are doing, and what is your vision of how AI superintelligence can be tapped into? It’s a very long topic. But to start off with, we used the old form of AI, which is a lot of regression, a lot of statistics, a lot of big data learning, and a lot of neural networks, if you felt fancy. And then LLMs became a huge thing. And we launched AiHello probably six or seven years ago. LLMs became a big thing two or three years ago. And it was pretty fancy. It was very good. It made life easy for us. But we cannot use it within AiHello to give it to clients, primarily because LLMs start hallucinating once you go past a certain context. The problem with hallucination is that it exponentially becomes larger and larger. Because if the previous thesis is wrong, if your previous hypothesis is wrong, then it builds on top of it, and it builds the wrong things. Hallucination exponentially becomes worse. And when it comes to finance, when it comes to ads, and when you’re working with sensitive data, this can be catastrophic. So you cannot use these large language models for finance, for situations where you need precise data, and especially when you have lots of context. It’s going to lose the context of the first part. Just because you mentioned something at the start of the conversation doesn’t mean it’s not important. It is critical. As humans, we understand what is the most critical part of a conversation, and then we keep that in mind. But LLMs, because of context limitations, just keep on going and start hallucinating. So a few months ago, we came up with the idea that we could use something like a large language model, but not based on the transformer model. And we could base it on data so that there is almost zero hallucination. So instead of building weights, we build it based on data. And we launched this. We don’t use it on AiHello, but we decided to use it on an email service because we have a lot of emails. We process a lot of emails for clients. We process a lot of emails for specialists. So we could use the zero-hallucination approach within emails, and if it is successful, then we can put it into AiHello. And we can, of course, release it as an API as well. So this is going to set the basis of artificial superintelligence because what is stopping us right now from reaching or breaching that wall of artificial superintelligence is this hallucination. And of course, there is also logic. LLMs are pretty stup*d. They don’t understand. You can teach them, they learn, but they do not question what you teach them. They always take it on blind faith. Yeah. Wow. That is genius. I love it. You are going to un-hallucinate AI. And if it stops hallucinating, essentially it becomes a lot more powerful and scalable. AI becomes scalable, or this whole process becomes scalable. That’s fascinating. So your ‘Why’, your mission, is to empower all these people to run their businesses. Do you have a framework for this that you could describe in three to five steps? How do you get someone up and running with their own business on an e-commerce platform? Or do you have any other framework that you could share with the audience? Something simple that they may be able to benefit from? One of the caveats of using AI is that it needs a lot of data. So if you’re just starting out with your e-commerce business, you need to put more of your human intelligence, more of your gut instinct, more of your thoughts, and more of your emotions into building it out. And once you have built up enough data, then you can put it into AiHello and start automating it. So what I would say, if you’re starting an e-commerce business, is hire a specialist who can help you launch off the ground. Do a bit of the hypothesis work, do a bit of the analysis, and then come to AiHello and start automating it. You can only start automating once you have a good idea of how things work for you. And finding how things work for you is something you need to do on your own. It’s like you can’t start running, or you can’t start driving a car, until you learn how to crawl and until you learn how to walk. Okay. So basically, it’s the age-old innovation thing that you have to innovate something on your own, and then you can scale it with AI. That is correct. Yeah. So let’s say I came up with some kind of formula, concept, or product that is currently not being promoted, and I believe it would work. Or maybe I’ve already tested it and I want to scale it. I want to get on Amazon and sell it there. What can you do for me? What are the steps for me to be successful with AiHello’s help? So the first thing when you select a product, is: what are the keywords for it? What keywords do you use for that product? The second would be: what are the bids for that product? For each keyword, what is the right bid to put up? And then you have other things like budgeting. Do you change the bid depending on the time of day? Do you change the bid in total? Those are the things that you need to keep adjusting continuously. With AiHello, we automatically harvest the right keywords for your product. We change the bid. We optimize the bid. We also do dayparting, where you can change the bid depending on the time of day. So there are different things that you can use AI for. You could certainly do all of it manually, but it’ll probably take you days or weeks to do what AI can do in a couple of minutes. So a couple of minutes. But doesn’t the AI also need traffic data to be able to define things? Yeah. So one of the other things about AiHello is that, because we have the wisdom of crowds, if you come up with a keyword, we know exactly how that keyword is going to perform. As you say, you have the wisdom of crowds. Can you extrapolate what you’ve experienced with other products and other customers onto a new product that doesn’t yet have a lot of traffic? Is this what you mean by the wisdom of crowds? Or what do you mean by the wisdom of crowds? Let me give you an example. Let’s assume you want to sell coffee, and you go to our platform and say, “This is my product. It’s coffee. Help me sell it.” So what we do is, we know this is coffee. What are the keywords around it that are going to help sell it? Because we’ve sold other coffee products, we know that organic coffee sells well. We know coffee in the morning sells well. Black coffee sells well. Caffeine sells well. And we also know, based on the previous performance of other keywords, what a good bid is for each keyword. If you don’t know the keywords, then of course you have to spend time researching them. And if you don’t know the bids, then you have to spend time researching what bid to put in. But we do all the research for you, and you put it in. And the second part, the bigger part, is that if the bid doesn’t work out, if you’re not selling, then we increase the bid automatically. If you are losing money, then we decrease the bid automatically. So that bid optimization is a critical part of AiHello. Yeah. We use Amazon ads to promote my books. And yes, it takes a lot of skill to find the keywords, eliminate the negative keywords, adjust the bids, have the right bids, and avoid overspending or underspending. But Amazon also does much of the machine learning. So what is it that Amazon does, and what is it that you have to do? And why doesn’t Amazon do what you have to do? The most critical piece of information to keep in mind is that your aims and objectives are the opposite of Amazon’s aims and objectives. Amazon’s aim is to make money, and your job is to make money. You don’t care if Amazon makes money or not, and Amazon doesn’t care if you make money or not. So when you put up a bid, when you run ads, Amazon will maximize that ad spend, whatever it is. In some ways, it’s like a casino. You go to a casino, and the job of the casino is to win money from you, and your job is to win money from the casino. Ads have become a lot like gambling nowadays. You throw money into it. You expect to make money. Ninety percent of people lose money, and they give up. And Amazon always finds fresh sellers to move on. You cannot depend on Amazon because Amazon is not on your side. Yeah, that makes perfect sense. Yeah, I always thought that on some platforms it was really difficult to make money with ads. Facebook, I think, is so competitive that it’s probably very difficult to make money. I know a lot of people who have spent a lot of money on Facebook, but I don’t know very many who have figured out a formula that continues to work. Okay. So you’ve helped someone find their keywords, the right bids, and how to adjust those bids. But what we’ve found is that at some point, ads die, and then we have to switch things up. It actually happens quite frequently that you have to create new campaigns and new ads. So what’s the dynamic there? How do you optimize so that you’re not still supporting ads that don’t work anymore, and you switch at the right point? So when we say ads, it’s not technically the campaigns. A campaign is just a container for all of your ads. You have products inside it, and you have keywords inside it. So a campaign is made up of products and keywords. And the question is, when you say ads die, did the keywords die? Then you need to add new keywords, right? You always have to keep adding new keywords and testing new keywords. It’s a continuous job of trying to find the right keywords for your book or your product, and then optimizing the bids constantly to make sure that you’re profitable. You have to make sure that your ads don’t die because of a lack of fresh keywords. And of course, there’s always a limit to the number of keywords you can add because each product has a limited number of keywords that people are searching for. Maybe there’s a long-tail keyword that’s going to make money, but there’s not enough search volume. Or maybe there’s a high-volume search keyword, but it’s not profitable for you. So you have to figure out what the right strategy is for you. Eventually, if your product is good, you’ll make money. If your product is not good, you won’t make money. That’s the bottom line. With ads, you quickly find out if your product… So essentially, it’s a cyclical thing. So you find the keywords, you figure out the right bids, you adjust the bids, and then you have to find new keywords and keep doing this. Yeah. So why do keywords go stale? Do people not search for certain things anymore? There could be multiple reasons for it. One reason is that a competitor has come in and taken your search volume. And you have to know: are you losing search volume? Are you gaining search volume? Has your search volume dropped off? The second reason is that people are not searching for that keyword anymore. Is it out of fashion? The third is: are you underbidding? Is the bid too low? Again, you would know by the number of impressions. Have the impressions dropped off? If the impressions have dropped off, is it because of a competitor? If it’s not because of a competitor, are people searching less? Are your bids too low? If the search volume is the same, are people clicking less? Why are they clicking less? Is it your images? Is it your product? Is your product no longer in fashion? I mean, I don’t know. Maybe a few months ago, fidget spinners were really in fashion, and nowadays no one uses them. So those things go out of fashion. Yeah. The spinners, I remember. They’ve been out of fashion for a while. Yeah. Yeah, that’s fascinating. So it’s a never-ending cycle of innovation and figuring out what works and what doesn’t work. So let me ask you this: What drives growth in your business? Most of the growth is… There are different ways to put it. Four years ago, we used to create a lot of blogs. We used to create lots of content. We used to create lots of YouTube videos. And then ChatGPT came along. If you ask kids now, “Do you Google that?” They don’t know what Google is. They really don’t know what Google is. And that’s not a cliché. It’s surprising. They’ll be like, “What Google?” Everything goes through ChatGPT. So for us, growth went from Google to ChatGPT. And we didn’t spend enough time optimizing for LLMs on our site. So what drove growth before was blogs and YouTube. And what drives growth now is large language models like ChatGPT and Claude. People just ask ChatGPT, “What do I do about this on Amazon?” It recommends solutions, and then we go through them. So how do you leverage large language models or AI applications? This was one of the biggest boosts to our company. We managed to set the processes right. We managed to create the templates. We managed to bring structure to our company. Development work has become ten times faster. The turnaround is ten times faster. We’re able to release features quickly. We’re able to find bugs in our existing code quickly. There are a lot of things going on. If I were to say that our company is no longer the same company it was even a year ago, that would not be an exaggeration. It would be the truth. What we were a year ago is not at all what we are right now. So in what way did you change? Is it coding that accelerated and changed everything? I mean, in what other ways did you change as a company? So the code is all done with AI first. Our developers use AI. They put in the prompt, they check the results. There is a second developer who checks whether everything is okay and whether everything is done. And then finally there’s QA, and then we push it to staging. We used to do roughly one-month or forty-five-day sprints. Now we do weekly sprints. So it has gone four times faster. The biggest hurdle for us was managing clients and how we manage them. We never had any structure. So we talked a lot with ChatGPT. We talked a lot about what the right way was to bring structure and accountability into the system. We managed to set up all the software required for accountability. It helped us fix those issues. It created structure. It created accountability for all the people, and then we implemented that. Finally, the last one, which was the most debatable, is that we require a lot of content. We require a lot of graphics. We require a lot of videos for clients on Amazon. I actually went to buy something on Amazon a few days back, and what was puzzling was that when I zoomed in on the images, you could see they were AI-generated because they all had these silly AI mistakes—spelling mistakes, random words. So almost everything on Amazon right now, all the images, are kind of AI-generated. It’s hard to blame them. We ourselves use AI for a lot of the images. We make sure we don’t have the silly mistakes, but we do use AI as well. So the turnaround time for graphics is faster because of AI as well. Though some clients do complain that they don’t like AI-generated assets. And if a person looks a bit too AI-generated, they just reject it outright. So that is the most debatable part of it. But overall, our company is called AiHello. It’s AiHello. And if we don’t say hello to AI, then we’re not AiHello. Yeah. Love it. I love the head and the one arm. Yes. The hello, and that’s it. Yeah. So what is one thing that you’re actively trying to figure out in your business right now? We are a remote-first company, and I’m struggling to bring about accountability among all the team members. We do have a good number of employees. Ninety percent of our employees are good. Ten percent still have accountability issues. And for me, that is a bit of a hurdle. It is a bit of a challenge to push those people who are dragging their feet about AI. Yeah. Because they are not comfortable with AI. They want to do what they are good at and don’t want to do something new. There is also a bit of hesitation that they might lose their jobs because of AI, although we’re not planning to let go of anyone. Rather, we are hiring more people because we’re able to grow faster. There is an old saying that companies won’t go extinct because of AI, but companies that don’t use AI will go extinct because of AI. Because we are using AI a lot, there is a chance for us to scale, for us to expand significantly. And I want to tap into this advantage and grow. I want to hire more people, and I want to grow. I don’t want to let people go. So this is a very good opportunity. You hear about Coinbase letting people go. You hear about Facebook letting people go because of AI. And I think those are all nonsensical excuses. Those companies are not growing very well, and they are blaming AI for letting people go, which I think is absolutely nonsensical. There is a very good opportunity for people to grow and for companies to grow using AI and increase their hiring. If you’re letting people go because of AI, it’s just a nonsensical excuse. So what do you think is the mental hang-up for people? What prevents better AI adoption or faster AI adoption? A long time ago, when computers were being introduced into many industries, I remember there were huge protests because people thought computers would take away jobs. And it did happen. People did lose jobs because of computers. There were many people pushing papers who lost their jobs. And a lot of people refused to learn about computers because they said, “This is nonsensical. I can do it better by hand.” Can you imagine telling people right now that it’s better to do things by hand than to use a computer? I mean, if you want to do calculations, please don’t use Excel or Google Sheets. Use a pen and paper and tell me you can do it better. It would be absurd to think that way. But at that time, people really did have the mentality that it was better to do things by hand than with Excel. Now, the AI revolution is probably a thousand or a million times bigger than that. And you can drag your feet. There will always be people who drag their feet and say, “I can do it better. AI is just nonsensical.” And sure, some of that is true. But the overwhelming majority of tasks are going to be done extremely well with AI. And it’s not just large language models. It’s everything. Regression analysis, data analytics, big data analytics, forecasting, calculations. I’m not even talking about transformer models. I’m talking about everything related to AI. So much can be automated and done by AI that if you’re not involved with it, you’ll get left behind, just like the people who didn’t use computers. Do you feel like people have to be highly educated to be able to use AI? Or can people with less formal education benefit from it as well? I don’t think it has anything to do with education. I think the learning curve for AI is smaller than the learning curve for computers. If you’re already using computers, you can just install a command-line interface and have things running. Actually, you can go to ChatGPT and ask some questions, and you can build something. But if you want to build serious applications, you can use a command-line interface and build them out. I think the learning curve is probably just a couple of hours to become proficient with these tools. I’m thinking more about this: As AI tools develop and take many of the routine, repeatable tasks off our shoulders, doesn’t that mean we will spend more of our time on high-level thinking and orchestration? And won’t that require some kind of mental ability to do that? It requires you to understand context, understand the implications of things, and be able to connect the dots. So that’s what I mean. The people who can really use AI tools have this higher level of awareness and thinking. They can combine ideas and create new things. But are there AI tools that people with less advanced analytical skills can also use? Absolutely. And you’re 100% right. You’re 101% right. This is what I’ve been advocating for a very long time. Don’t spend your time doing mundane, repetitive daily activities that can be automated. Let AI handle them. You should focus on the things AI cannot do right now, which is human-level intelligence: Strategizing. Planning. Working on the bigger-picture tasks. So you’re 100% right, and that’s the direction we should be moving in. And this brings me back to the point I made earlier: You should do what you love. The things you don’t love, the repetitive tasks, should be done by AI. Yeah. Love it. So what is your vision, ultimately, for AiHello? So my vision for AiHello goes beyond AiHello. We have something called HalZero, which is the engine we want to put behind AiHello. It’s a zero-hallucination LLM. And we are working toward making it happen. We plan to release an API for it soon. If it does happen, then we would probably have a model that can take in data and answer general-knowledge questions with zero hallucination. And we’re building it based on how the human brain works. The human brain is not one-dimensional. ChatGPT is one-dimensional. Transformer models are one-dimensional. You give them data, they run it through the transformer model—the encoder and decoder—and then they give you an answer. But the human brain is built in layers. What we call the lizard brain sits at the base, and as you go higher, things become more and more complex. So the brain is information and action, and everything is filtered through it. Then we act on the filtered result. Machine learning models right now do not have these kinds of filters. They have something similar, which is called chain of thought, but that’s really thinking out loud. This kind of reasoning should exist within the latent space of the machine learning model. It should be built into the model itself. I’ll give you an example. If you had been taught all your life that the sun is green, and tomorrow you woke up in Virginia, went outside, and saw that the sun was yellow, you’d say: “Oh my God, I’ve been lied to all my life. The sun isn’t green.” You would question what you had been taught based on a single observation. But if a machine had been trained for years that the sun is green, and then it saw that the sun was yellow, it might conclude: “The sun is wrong today because I’ve been taught that the sun is green.” The real test of intelligence is this: Can it question its training data? And the answer is no. It won’t, because it has been trained on that data. It has been trained on those tokens. Yeah. So that’s AI superintelligence? The ability to question the training data? That is correct. Yeah. So we build it based on connections. How strong is this connection? How many people have stated this fact? What is my own observation? Which observation is stronger? There is always conflict. In the human brain, there is always a conflict between what people say and what we think. Then our logical brain chooses what is usually the best answer. That is how we have a collective consciousness. We also have a personal consciousness. We always have to decide which one is best. Love it. Well, that’s great. So if you’re running a business and you need to sell a product, and you want to figure out how to be successful on Amazon, how to leverage your ads, and how not to overspend, where should you go? How can people get in touch with you, Ganesh, and your team? And what’s the first step for listeners? You can send me an email at ganesh@aihello.com. You can connect with me on LinkedIn. I’m always available, and I’m happy to have a chat with you. All right. So if you’re listening out there and you’re in e-commerce, or you want to get into e-commerce, and you don’t know how to leverage all the tools that are out there, don’t forget: Amazon is in the business of making money, not necessarily making your business profitable. So you can use AiHello to help you. Reach out to Ganesh on LinkedIn and get your team involved. And if you enjoyed listening to this episode, make sure you check back every week because I have successful entrepreneurs sharing their ideas—or at least some of the good ones—with you. So thanks, Ganesh, for coming. Thank you, Steve. And thank you for listening. Important Links: Ganesh's LinkedIn Ganesh's website Ganesh's email: ganesh@aihello.com
Et si les choses que tu n'aimes pas chez toi n'étaient pas des défauts à corriger, mais des forces qui n'ont pas encore trouvé leur place ? Dans cet épisode, on parle de nos singularités et de la façon dont certaines de nos plus grandes qualités naissent parfois de ce qui nous a fait souffrir. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
Après la stabilité des 4, les 5 viennent bousculer l'équilibre.Dans le tarot, cette série marque une étape clé : celle de la crise, du déséquilibre et des tensions nécessaires à l'évolution. Ce sont des cartes parfois inconfortables, mais profondément transformatrices.Dans cet épisode, je t'emmène explorer les quatre 5 du tarot : Bâtons, Coupes, Épées et Deniers.Comme toujours dans cette série, je te propose des questions de coaching directement inspirées des cartes, pour t'aider à utiliser ton tarot comme un outil d'auto-coaching concret et profond.Tu découvriras aussi un exercice simple pour poser un autre regard sur une situation difficile… et commencer à en comprendre le message.Ouverture de la formation aux arcanes mineurs du tarot de Marseille
One popular objection to AI concerns is to declare that LLMs can never be AGI. You need a "new paradigm". Therefore, AGI is so far in the future that it's not worth worrying about. A common counterargument is to claim that no, LLMs can become AGI. But even without that counterargument, I think the "therefore" fails on its own terms. The key question is: how much of a new paradigm do we need? The landmark discoveries on the road to modern LLMs are something like: 1950s: Neural networks 1967: Multi-layer perceptron 2010: Modern deep learning 2017: Transformer, LLM 2022: RLHF, chatbots 2024: Chain of thought / test-time compute We can think of this as an "evolutionary tree", where a given LLM (let's say Claude Opus 4.7) shares a recent "common ancestor" with all other chatbots, and only a very distant "common ancestor" with everything else descended from the multi-layer perceptron. If AGI needs a "new paradigm", what common ancestor can we expect AGI and LLMs to share? AGI will very likely use neural networks, because the human brain is a neural network and qualifies as an AGI. It will probably use deep learning, because although deep learning isn't exactly analogous to the brain, it seems like a pretty reasonable way to emulate the brain's learning algorithms onto computer hardware. Skeptics like Yann LeCun and Gary Marcus usually pinpoint LLMs/transformers as the step where we went wrong. LeCun thinks that the first AGIs may be within the deep learning paradigm (but not LLMs); Marcus thinks that they'll combine insights from deep learning with something else. How soon should we expect a new paradigm as revolutionary as LLMs/transformers? Since we got LLMs/transformers nine years ago, Lindy's Law suggests nine more years. How soon should we expect a new paradigm as revolutionary as deep learning? By the same logic, sixteen years from now. Lindy's Law has a heavy tail, which means we can't simply halve these to find our 25th percentile estimate. Our 25th percentile estimate for the next advance as exciting as LLMs should be three years from now; for deep learning, it's five years. So even if you think AGI will require a further paradigm shift as big as the invention of the LLM or as deep learning itself, you should have 25% chance it will be developed in the next 3 - 5 years. Which is about as long as the LLM-only crowd think things will take! This isn't an excuse for relegating the risk of AGI to some vague indefinite future. It could still be the late 2020s or early 2030s! (Might we expect that low-hanging-fruit effects make the next paradigm harder to find than the last one? In practice, fields get more researchers as time goes on, and that effect usually causes time-between-advances to be approximately constant. And in fact, the number of AI researchers has grown at an unprecedented pace for a scientific field, and growth will enter an even faster regime once AIs themselves can contribute. Overall these make me think things will go even faster than Lindy's Law predicts - but I think Lindy's Law is a useful upper bound.) (Would there still be a long time between the invention of the new paradigm and the point where it could be used to maximum effect? It took five years between the invention of the transformer and ChatGPT, the first commercially-successful transformer-based project. But most of that time was spent scaling up, and we've already scaled up. If we invent a new paradigm in 2030, then any frontier lab willing to bet on it can quickly provide it with levels of compute sufficient to train human-brain-sized models.) This is my attempt to talk to the new-paradigm-wanters in their own language, but I think there's also a subtler point that undermines this worldview. In the past, new paradigms have proven useful in allowing scaling to continue after an old paradigm passed the regime where it could efficiently convert scale to results. LLMs still seem to be able to convert scale to results; while this continues, new paradigms won't be necessary, and frontier labs won't risk pursuing them. If scaling ever hits a wall, there will be a few months of confusion as frontier labs look over various new-paradigm-proposals that they already have lying around, and throw them at the wall to see what breaks through. Then scaling will continue from wherever it left off. The best way to forecast future AI progress is to extrapolate from current LLM scaling. This should work if LLMs scale all the way to AGI. But it may also work even if they don't. First, because we might get the new paradigm so soon that it won't be a significant source of delay. And second, because the most likely place for a new paradigm to start is wherever LLMs stop working, going at the same rate. https://www.astralcodexten.com/p/new-paradigms-wont-save-you
[SPONSORISÉ] Et si une montre n'était plus seulement un outil… mais un objet de transmission et de désir ?Dans cet épisode de Génération Fab, nous vous emmenons au cœur du Jura, berceau de l'horlogerie française, à la rencontre de la Maison Herbelin, fondée en 1947. Une entreprise familiale qui, depuis près de 80 ans, traverse les mutations de son industrie en restant fidèle à une exigence simple : créer des montres à la fois belles, précises et durables.Avec Maxime Herbelin, découvrez comment une montre passe d'une simple idée à un objet qui peut accompagner une vie entière. Deux ans de développement, un équilibre subtil entre design et technique, et surtout une conviction forte : aujourd'hui, la montre n'est plus un objet utile, mais un objet de plaisir, de style… et parfois même un héritage que l'on transmet.Dans cet épisode, vous découvrirez :Les coulisses de la création d'une montre : du dessin au produit finalUn savoir-faire fondé sur un écosystème d'experts et une exigence de précisionUne vision de l'industrie française tournée vers la qualité, la créativité et la valeur ajoutéeChez Herbelin, une montre ne se contente plus de donner l'heure. Elle raconte une histoire. Et parfois, elle traverse les générations.Génération Fab, le podcast de la French Fab.Hébergé par Audion. Visitez https://www.audion.fm/fr/privacy-policy pour plus d'informations. Hébergé par Audion. Visitez https://www.audion.fm/fr/privacy-policy pour plus d'informations.
Four stories today — all connected to your portfolio.NIO's US-listed shares jumped nearly 4% in overnighttrading after the company rolled out a major upgradeto its NIO World Model driver-assist platform — reachingover 700,000 vehicles, including cars sold up to fouryears ago. The update runs across both Nvidia Orin-Xchips and NIO's own in-house Shenji chips simultaneously.NIO claims lower latency, smoother vehicle control, andindustry-leading route selection without HD maps.Driver-assist usage has doubled since January and theAI compiler boosted inference performance by 20%.NIO's head of autonomous driving R&D, Ren Shaoqing, saidthis week that NIO has caught up on its "smart drivinglesson" and that technology innovation in this space isabout to restructure the entire competitive landscape.William Li separately warned of a potential 20% contractionin China's auto market this year — yet NIO maintains its50% delivery growth target regardless.Noam Shazeer, co-inventor of the transformer architecturethat powers every modern large language model includingGPT, Claude, and Gemini, just left Google for OpenAI.Shazeer previously left Google to found Character.AI,returned in a multi-billion dollar deal in 2024, and isnow switching labs again less than two years later.The AI talent war has reached the point where theliteral inventor of the foundational technology is beingrecruited between every major lab simultaneously.Gas prices dropped below $4 per gallon today for thefirst time since March — a direct result of Brent crudefalling to $79 as markets price in tomorrow's formalIran deal signing ceremony in Switzerland. The sequenceis playing out as forecast: oil down, consumer pricesdown, inflation pressure easing. Shippers are alreadyreporting a slow recovery through Hormuz shipping routes.Chinese EVs now represent 6 of every 10 electric vehiclessold globally. Nearly 75% of all EVs produced worldwideare made in China. Export growth to markets withoutimport controls has been staggering — up 130% inSoutheast Asia, 60% in the Middle East, 55% in LatinAmerica year over year. Canada alone sold 940,000Chinese-made electric cars last year, up roughly 50%.
Joined this week by special guest Logan, we question whether the FATE TTRPG is dying, chonky dragons in chonkier dice, Hasbro IP's coming to D&D 5.5e and how to survive your first Convention in style! Email your questions to podcast@ghostfiregaming.comShawn: @shawnmerwinDael: @dailydael Todd: @ToddKenreck Logan: @Runesmith Editor: @jberrt Topics:00:00 - Intro05:03 - The End of Fate?10:04 - Themberchaud D20 Chonk14:55 - Toy franchises in 5.5e?20:35 - Legends of Greyhawk on D&D Beyond25:25 - Advice for Your First Convention32:46 - Large Scale Battles in D&D42:59 - 3rd Party Spells
En verder: de voortgang van Artemis III, een nieuw protocol voor contact met buitenaardse intelligentie en: waarom weten we zo weinig van donkere materie en donkere energie. Ook het probleem van ‘vals negatieven’ in het speuren naar buitenaards leven: waarom is er zoveel aandacht voor het ontbreken van bewijs daarvoor en waarom wordt er niet beter gezocht? Dat en zelfs nog meer met Philippe Schoonejans, Thijs Roes en Herbert Blankesteijn. Dat en meer bespreken Herbert Blankesteijn, Philippe Schoonelans en Thijs Roes in deze nieuwe Space Cowboys. Schrijf je in voor de nieuwsbrief van Space Cowbows en krijg elke aflevering in je mailbox zodra deze uitkomt - op thysroes.nl/spacecowboys @SpaceCowboysPod behandelt ruimtevaart- en astronomienieuws van land, planeet en daarbuiten. Afwisselend gepresenteerd door: @thysroes @hmblank @michelvanbaal @pschoone @ingeloes @arnouxus @LucLucreation @nadineduursma @BastiaanBom @ExogeologyMarc @NickPoelstra @brunchik @mariekebaan @charlottepouwels @eriklaan @jeffrey_bout - Space Cowboys is te vinden op https://www.linkedin.com/company/space-cowboys-podcast/https://x.com/spacecowboyspod https://mastodon.social/@SpaceCowboys@mastodon.nl De hosts mailen? Dat kan via spacecowboyspod@gmail.com Nieuwsbrief Space Cowboys: https://thysroes.nl/spacecowboys/nieuwsbrief Links voor deze aflevering: Beursgang SpaceX verlegt grenzen in de financiële wereldhttps://www.bbc.com/news/articles/cgrk21wnvy9o Starfall, nieuwe project van SpaceXhttps://interestingengineering.com/space/starfall-in-orbit-manufacturing-testInterview met Don Lincoln van Lex Fridman over donkere energie en materiehttps://www.youtube.com/watch?v=1M3Vdl6DRkU Nieuw protocol voor contact met buitenaardse intelligentiehttps://iaaspace.org/wp-content/uploads/iaa/Scientific%20Activity/iaasetideclaration.pdf Vergeet Webb: de ELT gaat álles anders maken en vordert gestaag in bouw https://share.google/bB6IuXPflLeCFkMEb Pas op voor ‘valse negatieven’ bij zoektocht naar buitenaards levenhttps://time.com/article/2026/06/01/scientists-overlooking-signs-of-extraterrestrial-life-study/ Nieuw protocol voor contact met buitenaardse intelligentiehttps://www.space.com/space-exploration/search-for-life/how-should-we-handle-alien-detection-in-a-world-of-ai-deepfakes-and-social-media-this-committee-is-writing-the-rulebook Totale zonsverduistering in Spanje in augustushttps://en.wikipedia.org/wiki/Solar_eclipse_of_August_12,_2026 Japanse onderzoekers boeken succes met ‘Transformer’ robot op de Maanhttps://www.space.com/astronomy/moon/how-japanese-scientists-sent-a-real-life-transformer-to-the-moon Artemis en ESA exploratiehttps://www.nasa.gov/news-release/nasa-marches-toward-artemis-iii-mission-in-2027-names-crew-members/ Frankrijk en Vast Spacehttps://www.vastspace.com/updates/france-vast-two-mission-agreement-iss-haven-1 See omnystudio.com/listener for privacy information.
Le conseil du jour, c'est une minute pour prendre du recul, respirer, et avancer un peu plus sereinement dans votre travail. Un conseil simple, concret, applicable dès aujourd'hui. Un format court de Happy Work, par Gaël Chatelain-Berry.NOUVEAU : retrouvez moi sur WhatsApp sur la chaîne Happy Work... pas de spam, c'est gratuit et il n'y a que du feelgood !!! : https://whatsapp.com/channel/0029VbBSSbM6BIEm0yskHH2gEt pour retrouver tous mes contenus, tests, articles, vidéos : www.gchatelain.comSoutenez ce podcast http://supporter.acast.com/happy-work. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
From pioneering the Transformer architecture now used in every AI stack to building the rails for the agent economy, NEAR Co-Founder Illia Polosukhin connects the full arc in this inaugural episode of “Inside NEAR,” a new quarterly series on The Rollup. Illia breaks down NEAR's early architectural bets that are now paying off, why privacy had to be a base-layer choice, and how it all culminates in NEAR becoming AI money: the unit of account for inference, compute, and every agent-to-agent transaction settling onchain. With $20B+ in Intents volume and a path to deflation, the thesis is simple: NEAR's TAM isn't crypto, it's all of commerce.Illia Polosukhin is Co-Founder of NEAR Protocol.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Timestamps00:00 Intro01:38 State Of NEAR Quarterly04:32 The Transformer's Origin Story06:51 NEAR Started As AI11:40 Post-Quantum Crypto Coming Soon13:48 Root Of Trust Solved19:36 Target Market All Commerce20:41 AI Frontend Blockchain Backend22:44 Confidential Intents TVL Rising28:51 Fee Switch Turned On34:04 NEAR Is AI Money36:30 One Line Changes RealityGuest Socials:Illia Polosukhin X: https://x.com/ilblackdragonNEAR Protocol X: https://x.com/NEARProtocolNEAR Protocol Website: https://www.near.org/Partners:Better than Banks. Transparent capital efficiency earning the highest yields in DeFi. Learn more here: https://infinifi.xyz/---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Relay is the fastest and most reliable way to swap any token on any chain. Learn more here: https://relay.link/bridge---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---Trezor is the creator of the first-ever hardware wallet. Securing crypto for 2M+ users worldwide. 100% open source. Learn more here: https://affil.trezor.io/aff_c?offer_id=133&aff_id=36664---
Pourquoi certaines personnes réussissent, tandis que d'autres abandonnent ?Dans cet épisode puissant du Mindset Show, Jordan te partage l'un des éléments les plus décisifs dans la réussite personnelle et professionnelle : l'état d'esprit.Tu veux plus de bonheur, plus de résultats, plus d'accomplissement dans ta vie ?Alors commence par transformer ton mental. Parce que tout commence à l'intérieur :Ta manière de penser influence tes émotions.Tes émotions dictent tes actions.Tes actions construisent ta vie.À travers des réflexions profondes, des exemples concrets et une histoire inspirante, Jordan t'invite à changer ta manière de te parler, à arrêter de remettre à demain, et à te choisir pleinement.Cet épisode est une piqûre de rappel : ta réussite commence avec une seule décision… Celle de croire en toi.À écouter si :Tu te sens bloqué, dans l'attente du bon momentTu rêves d'alignement, de succès, de libertéTu veux enfin reprendre le contrôle de ta viePrends une décision aujourd'hui.Parce que le monde n'a pas besoin d'une version parfaite de toi. Il a besoin de la vraie.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
Chercheur en physiologie du sport, auteur du célèbre modèle de la chasse d'eau pour expliquer les facteurs qui limite la performance, Guillaume Millet se lance dans une nouvelle expérience grandeur nature. Emmener 40 sédentaires, âgé de 25 à 50 ans, qui ne pratique AUCUNE acitivité physique, courir l'un des ultra trail les plus difficile de l'UTMB : les 100km et 6000m de D+ de la CCC.Dans cet épisode :- Peut-on vraiment passer de sédentaire à finisher d'un ultra de 100 km ?- Par quoi commencer quand on part de 0 : cardio, renforcement, tendons, mental ou perte de poids ?- Comment organiser fréquence, volume, intensité, repos et deload ?- Quel volume hebdo idéal pour progresser sans se blesser ni s'épuiser ?
Peut-on encore bâtir une entreprise rentable en encourageant les gens à consommer moins ?Dans cet épisode de Desalarier, nous échangeons avec Moïse sur un sujet rarement abordé dans l'entrepreneuriat : comment construire une entreprise dans un monde dominé par la consommation de masse, l'obsolescence et le renouvellement permanent des produits.À travers son parcours, il partage sa transition vers l'entrepreneuriat, sa vision de l'artisanat moderne et sa conviction qu'il est possible de créer de la valeur autrement qu'en poussant à consommer davantage.Cette conversation aborde des sujets essentiels pour tous ceux qui souhaitent entreprendre avec du sens : la réparation, l'économie circulaire, les habitudes de consommation, la construction d'un modèle économique viable et les réalités du terrain lorsqu'on décide d'aller à contre-courant.Dans cet épisode, on parle de :- Pourquoi entreprendre dans l'artisanat aujourd'hui est un défi- Pourquoi la réparation redevient un enjeu économique- L'importance de l'économie circulaire et de la durabilitéCet épisode s'adresse aux entrepreneurs, salariés en reconversion, porteurs de projet et à toutes celles et ceux qui s'interrogent sur la place du sens dans leur travail.N'oubliez pas que nos invités acceptent de bon cœur de se livrer sur leur parcours et qu'il s'agit d'être humains réels avec des avis forgés par leur vie, et de bien vouloir rester constructif et bienveillant dans vos commentaires les visant.Bonne écoute--------------------------------------------------------------------------------------------------------------CHAPITRES :00:00 - Peut-on encore entreprendre dans un monde de surconsommation ?14:40 - Pourquoi la culture de la réparation a presque disparu26:20 - Transformer la réparation de sneakers en modèle économique32:50 - Ce que les consommateurs recherchent vraiment aujourd'hui41:45 - Entreprendre avec du sens : entre convictions et réalité du marché--------------------------------------------------------------------------------------------------------------Nos réseaux sociaux :Instagram : @desalarierTiktok : @desalarierThreads : @desalarierLinkedin : @desalarierSi vous voulez en savoir plus sur Moïse :https://www.linkedin.com/in/getintouchwithmoiseuri/https://www.beaterssneakers.com/https://www.instagram.com/beaterssneakers/https://www.tiktok.com/@beaterssneakers#podcast #entrepreneuriat #transition #entreprendre #salariat #travail #reconversion #reconversionprofessionnelle #reconversionpro #mindset #réparation #sneakers #sneakersaddict #cordonnier #artisanat #secondemain #upcycling #impactTITRE : Réparer est-il encore Rentable ? (avec Moïse Uri de Beaters)Que vous soyez salarié en quête de changement ou simplement curieux des réalités de l'entrepreneuriat, ce podcast est là pour vous inspirer, vous guider et, peut-être, déclencher votre propre transition.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
DJ Snake avait ouvert la voie de la musique électro au Stade de France en mai 2025. Place à David Guetta avec "The Ultimate Monolith Show", une tournée qui sillonne le monde depuis 3 ans. et un show que le DJ qualifie comme le plus ambitieux de sa carrière, avec une scénographie hors norme : un bloc écran géant d'une trentaine de mètres de haut au pied duquel il mixera... Ecoutez La tentation du soir avec Marie Gicquel du 11 juin 2026.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
DJ Snake avait ouvert la voie de la musique électro au Stade de France en mai 2025. Place à David Guetta avec "The Ultimate Monolith Show", une tournée qui sillonne le monde depuis 3 ans. et un show que le DJ qualifie comme le plus ambitieux de sa carrière, avec une scénographie hors norme : un bloc écran géant d'une trentaine de mètres de haut au pied duquel il mixera... Ecoutez La tentation du soir avec Marie Gicquel du 11 juin 2026.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Découvrez les masterclass de "La psychologie pour tous" réalisées avec des psychologues cliniciennes, psychothérapeutes et formatrices:"Guérir ses blessures d'attachement : Transformer ses relations pour trouver l'amour authentique et l'apaisement avec ses proches" avec Gwenaëlle Persiaux : https://lapsychologiepourtous.com/masterclass-blessures-dattachement/"Épreuves de vie, stress chronique, traumas : retrouver sérénité et confiance en soi" avec Yoanna Micoud : https://lapsychologiepourtous.com/masterclass-psychotrauma/"Secret professionnel et Obligations légales : comprendre et signaler pour protéger efficacement" avec Céline Stoppa : https://lapsychologiepourtous.learnybox.com/presentation-de-la-masterclass/Caroline Depuydt est psychiatre depuis plus de 20 ans et autrice d'ouvrages, dont : « La promesse des psychédéliques, révolutionner la psychothérapie » aux éditions Kennes. Ell a par ailleurs la particularité d'être formée à la thérapie assistée par psychédéliques et d'avoir expérimenté elle-même deux séances dans ce cadre.Dans cet entretien elle nous explique ce que les études montrent du pouvoir des psychédéliques en thérapies, notamment sur les dépressions résistantes, le stress post traumatique, les troubles du comportement alimentaire, les douleurs chroniques, le burn out ou encore les addictions, en activant la neuroplasticité du cerveau. Elle nous parle également de la recherche et de ce que l'on peut espérer quant à une légalisation de ces thérapies en France et dans les pays francophones (Suisse, Belgique).Les questions de cette interview :01:29 Pour commencer, pouvez-vous nous définir ce que sont les psychédéliques comment ils agissent sur le cerveau 04:15 quelles sont les fausses croyances à leur sujet ?11:54 Qu'est ce qui a suscité votre intérêt dans les thérapies assistées par psychédéliques ?20:51 Vous expliquez dans votre livre que le cerveau est paresseux par nécessité et qu'il est prédictif, ce qui nous empêche de changer nos croyances facilement et de voir la réalité telle qu'elle est vraiment. Pouvez-vous développer ?24:28 Comment la souffrance et les épreuves que nous vivons transforment notre cerveau en réduisant ses capacités et provoquant une psychorigidité?28:02 Revenons sur les psychédéliques. Pouvez-vous nous détailler les différents psychédéliques, comment ils agissent et s'ils ont chacun des indications spécifiques ?33:13 Avec la thérapie assistée par psychédéliques, vous parlez des moments Eureka. Qu'est-ce que c'est ? 37:49 Que sont les bad trip et sait-on dans quel contexte ils se produisent ? 44:32 La période qui suit la prise de psychédélique avec supervision d'un thérapeute s'appelle l'intégration. Que se passe-t-il pendant cette période et combien de temps dure-t-elle ?57:25 Il existe également le micro-dosage. Pouvez-vous nous en parler et quels sont ses effets ?59:27 Pourriez-vous nous livrer un retour d'expérience suite à la prise de psychédéliques qui vous a particulièrement touchée ?01:03:47 Enfin, ou en est la recherche en France et que peut-on espérer quant à l'autorisation de la thérapie assistée par psychédéliques ?Pour découvrir les Masterclass La psychologie pour tous Pour découvrir la chaine Youtube : Pour découvrir le site de La psychologie pour tous Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
As AI demand surges, our Asia Energy Analyst Mayank Maheshwari discusses the new multi-trillion-dollar investment cycle to secure the power, fuels, grids and storage that keep modern life running.Read more insights from Morgan Stanley.----- Transcript -----Welcome to Thoughts on the Market. I'm Mayank Maheshwari, Morgan Stanley's Asia Energy analyst. Today: how AI's rapid growth is forcing Asia into a massive energy buildout across power grids, fuels, storage and dependable energy and power generation. It's Tuesday, June 9th at 8am in Singapore. Every time you ask AI to draft a note, summarize a file, plan a trip or generate an image, the response feels instant and easy. But behind it sits a very physical system: data centers, electricity, cooling, fuel, metals, power lines, storage tanks and ships. There is no AI without energy. And in Asia, the power and energy needs could get much bigger. And right now, we are at a critical inflection point where energy, AI, and security converge into [a] once-in-a-generation investment cycle. We see a super cycle with $5 trillion plus in new investments in energy over next five years, almost double of what we have seen in the past decade. And this has global implications as Asia consumes almost half of the world's energy needs – but produces only about a third of it at home. Energy markets may be global, but energy insecurity is local. It shows up in electricity prices, fuel shortages, factory delays, food supply pressure and household budgets. By 2030, Asia's energy use could rise by about 38 exajoules. That increase is roughly equal to all the energy the Middle East consumes today. Power demand alone could reach about 19 trillion units a year when expressed in kilowatt-hours. That is around four trillion more units of electricity usage than in 2025, driven by data centers, industry, and onshoring of businesses. AI is now part of that demand story. By 2030, data centers could use roughly one-sixth of all new power units in Asia. That makes AI a major new load on the power system. Meeting this demand requires a major investment cycle. Asia's annual energy investment could rise to roughly US$1.1 trillion a year over the next five years. Much of that spending goes into the power system itself: generation, grids, storage and the equipment needed to connect everything. Grids may be the biggest bottleneck. Think of [the] grid as the highway system for electricity. You can build more power plants, but if the roads clog up, the power does not reach homes, factories or data centers. Asia's grid investment needs could reach close to about US$1 trillion by 2030. Transformer lead times have stretched to years in some cases, which shows how tight the equipment supply chain has become. The hardest part is keeping the lights on every hour of the day. Baseload power means electricity that can run around the clock. Asia is adding a large amount of renewable power to its energy infrastructure. But that source depends on when the sun shines or the wind blows. That is why coal, gas and nuclear remain part of the conversation. Storage also moves from useful to essential. Batteries help smooth out renewable power demand when supply rises and falls during the day. Global energy storage installations could rise from about 500 gigawatt hours in 2025 to around 3,000 gigawatt hours in 2030. Powering AI also reaches beyond electricity. Data centers need power, but the system around them needs dependable fuels, grids, batteries, metals, refining, storage and shipping. Electricity has to be generated, moved, backed up and supplied through physical infrastructure. That is why this story pulls in copper and aluminum for grids, fuel refining for transport and petrochemical supply chains, and fertilizers because energy security also connects to food security. The future may look digital, but it will be powered by something far more physical: the largest energy buildout Asia has seen in decades. Thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.
Cet épisode a été enregistré à un an de l'élection présidentielle de 2027, à laquelle Édouard Philippe est candidat.Génération Do It Yourself n'est pas un média politique et ne soutient aucun candidat.L'objectif est simple : comprendre comment celles et ceux qui veulent diriger le pays raisonnent sur les grands sujets.Nous recevrons d'autres voix dans le même esprit.Voici les grands principes que nous suivrons pour ces épisodes : https://taap.it/jXv1WOQDepuis 1974, la France n'a plus voté un seul budget à l'équilibre.52 ans de déficit.Et un accord tacite pour ne surtout pas en parler.Édouard Philippe a décidé de le faire.Maire du Havre depuis 2010, Premier ministre d'Emmanuel Macron de 2017 à 2020, il a accepté notre invitation à venir sur Génération Do It Yourself à un an de la présidentielle.Pendant deux heures, nous passons au crible ses grands chantiers pour le pays : l'école, l'intelligence artificielle, la dette, les retraites, l'immigration, l'Europe.Sur l'école, son constat est brutal : non, l'éducation ne fonctionne pas comme elle le devrait aujourd'hui.Selon lui, la France est le pays de l'OCDE où le système scolaire reproduit le plus les inégalités. Le niveau baisse, en maths comme en orthographe. Et on forme 40 000 ingénieurs par an quand il en faudrait au moins 100 000.Sa réponse : rendre leur liberté aux établissements, mieux payer les profs et trancher les questions qu'on préfère enterrer.Sur l'intelligence artificielle, il avoue l'utiliser à peine.Mais il refuse de détourner le regard. Il voit la rupture arriver, et admet ne pas savoir où elle nous mène.Nous n'avons épargné aucun sujet :Pourquoi reporter la réforme des retraites frappe d'abord les plus modestesSa méthode pour réparer l'État : supprimer et remplacer, plutôt que simplifierPourquoi il refuse la taxe Zucman et le retour de l'ISFCe qu'il a appris en transformant Le HavreTrump, Poutine, la Chine, l'immigration : ses réponses sans détourDeux heures avec un candidat qui préfère exposer clairement les problèmes plutôt que promettre des solutions faciles. À chacun de décider si c'est ça, gouverner.Vous pouvez contacter Édouard sur X (Twitter) et Instagram.TIMELINE:00:00:00 - Un Rouennais élu maire du Havre 00:10:51 - Ce que le conservatoire apprend que l'école a oublié 00:16:38 - La vérité que personne n'ose dire sur le niveau des Français 00:24:45 - Le vieux principe oublié d'éducation 00:31:32 - Comment réparer l'Éducation nationale 00:45:15 - Pourquoi la France ne forme pas assez d'ingénieurs 00:53:39 - Parler d'IA comme d'une bombe atomique 01:05:29 - Le coût du travail qui nous sépare de l'Allemagne 01:12:03 - La vérité que personne n'assume sur l'âge de la retraite 01:20:12 - Ce que la dette française fera vraiment à nos enfants 01:28:12 - Vers un DOGE à la française ? 01:39:23 - L'addiction française à la dépense publique 01:51:23 - Transformer une ville que tout le monde fuyait 02:00:24 - Pourquoi tous les autres pays ont supprimé leur ISF 02:07:59 - Parler à la France et non aux Français 02:13:22 - Est-ce qu'on peut faire confiance à Donald Trump ? 02:13:55 - Est-ce qu'il faut dialoguer avec Vladimir Poutine ? 02:16:29 - Est-ce que la France a un problème avec l'immigration ? 02:19:13 - Est-ce que l'Europe fonctionne ? 02:19:59 - Le livre à 670 millions d'euros 02:27:52 - Ce qu'on ne dit pas avant une nominationLes anciens épisodes de GDIY mentionnés : #543 - Yann Le Cun - AMI Labs - Rendre l'IA plus humaine#515 - Pierre de Villiers - Ancien Chef d'État-major des Armées - "Nous ne sommes pas prêts pour la guerre"#401 - Emmanuel Macron - Président de la République - Les décisions les plus lourdes se prennent seul#397 - Yann Le Cun - Chief AI Scientist chez Meta - L'Intelligence Artificielle Générale ne viendra pas de Chat GPTNous avons parlé de :Conservatoire national des arts et métiersSelon Bill Gates, l'intelligence artificielle pourrait mettre fin au travail humain dès 2035Avec l'IA, la semaine de travail de 2 jours n'est plus une utopie… d'après Bill GatesLa Google I/O 2026 aura lieu les 19 et 20 mai pour Android 17 et l'IAGoogle I/O 2026 : les dernières nouvelles sur Android, l'IA GeminiComment le coût du travail plombe-t-il la France ?Le duel entre François Hollande et Edouard Philippe lance le début de la campagne présidentielle 2027 devant les GracquesNotre docu sur la Chine : Comment la Chine est devenue imbattable ?Les recommandations de lecture :Vingt ans après, d'Alexandre DumasLes Trois Mousquetaires, d'Alexandre DumasLe Vicomte de Bragelonne, d'Alexandre DumasVoyage au bout de la nuit, de Louis-Ferdinand CélineL'Étrange Défaite, de Marc BlochLes Faux-Monnayeurs, d'André GideLes Contemplations, de Victor HugoLa Légende des siècles, de Victor HugoCyrano de Bergerac, d'Edmond RostandL'Homme qui aimait les chiens, de Leonardo PaduraUn grand MERCI à nos sponsors : Squarespace : https://squarespace.com/doitQonto: https://qonto.com/r/2i7tk9 Brevo: brevo.com/doit eToro: https://bit.ly/3GTSh0k Payfit: payfit.com Club Med : clubmed.frCuure : https://cuure.com/product-onely (code DOIT)Vous pouvez retrouver la liste de tout le matériel utilisé pour enregistrer nos épisodes sur cette page.Vous souhaitez sponsoriser Génération Do It Yourself ou nous proposer un partenariat ?Contactez mon label Orso Media via ce formulaire.Hébergé par Audiomeans. 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Anne Ghesquière reçoit Juliette Binoche, immense actrice oscarisée du cinéma français et international, réalisatrice. Explorons ce que révèle le corps quand la tête lâche prise et pourquoi nous avons tant de mal à nous abandonner à l'inconnu. Dans cet épisode, Juliette Binoche nous invite à découvrir cette alchimie mystérieuse qui transforme nos fragilités en force vivante mais aussi comment le couple est un Maitre pour nous. Et si la véritable création commençait au moment où nous acceptons enfin d'être « nuls et nus » ? Comment accepter d'être débutant, imparfait ? Comment nos vulnérabilités peuvent-elles devenir un chemin vers quelque chose de plus vivant, de plus libre en nous ? En 2007, au sommet de sa carrière, Juliette Binoche fait un choix radical : devenir débutante en montant sur scène avec le chorégraphe anglais Akram Khan, sans aucune expérience de la danse professionnelle. De cette rencontre naît IN-I, un spectacle intense joué plus de 120 fois à travers le monde, puis seize ans plus tard EN NOUS, un film intime et sensoriel qu'elle réalise à partir des images tournées pendant cette aventure artistique et humaine. Création, humilité, couple, désir, spiritualité, joie, confiance, présence à soi… Son film EN NOUS est au cinéma depuis le 3 juin. Épisode #696Quelques citations du podcast avec Juliette Binoche :"Tout est possible, je le crois vraiment. Et après, on s'adapte en fonction de ce que la vie nous offre et de ce qu'on peut faire ou pas.""Les formes artistiques prennent racine en soi.""L'humilité n'est pas de se dénigrer, l'humilité c'est de s'oublier."Recevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook et TikTokAbonnez-vous sur Apple Podcasts / Spotify / Deezer / Castbox / YouTubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Juliette Binoche :00:00Introduction01:30L'invitée, Juliette Binoche05:04L'origine du film "En nous"07:40Pourquoi redevenir débutants12:25La sensation créatrice16:44L'art est-il thérapeutique ?20:00Amour, alchimie, désir et création25:02Le pouvoir de l'humilité32:51Ce que le couple nous enseigne41:40Renouer avec la joie qui jaillit47:30Comment dépasser ses limites ?Avant-propos et précautions à l'écoute du podcast DR Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
Tous les matins, à 7H10 et 9H45, on vous donne les bonnes nouvelles du jour.
Site webInstagram Retraite Indigo & Sashiko Sud de la France (en anglais) Cours de Sashiko enregistrés (en anglais avec sous titres français) Stitching practice sur la plateforme Circle (pour des évènements comme le Stitching Club, (en anglais) Savez-vous que la teinture végétale peut transformer non seulement des tissus, mais aussi notre rapport à la nature et à la création ? Dans cet épisode captivant de ArtEcoVert La voix de la couleur végétale et des plantes tinctoriales, Pauline Leroux, ingénieure agronome passionnée de couleur végétale, reçoit l'artiste textile Sophie Cagniart. Ensemble, elles plongent dans l'univers fascinant de la teinture végétale, un monde où la créativité rencontre la durabilité.Sophie, avec son amour inconditionnel pour les tissus récupérés, nous partage son parcours inspirant et son approche unique de la transformation créative. À travers des techniques telles que le Sashiko et l'utilisation de l'indigo, elles explorent non seulement les aspects techniques de la teinture végétale, mais aussi la richesse de l'histoire et de la culture qui les entourent. Cette conversation stimulante aborde également les défis liés à l'appropriation culturelle, un sujet essentiel dans le monde actuel.Enseignante passionnée, Sophie évoque son expérience dans l'enseignement du Sashiko et la création de sa communauté autour de cette pratique artisanale. Elle nous invite à réfléchir à son avenir artistique tout en soulignant l'impact de la surconsommation dans l'industrie textile. Comment pouvons-nous réconcilier notre amour pour la mode avec une approche éthique et durable ?Dans cet épisode, vous découvrirez la beauté de l'artisanat et l'importance de relier la couleur du vivant aux usages réels. La teinture végétale n'est pas seulement une technique, c'est un véritable mode de vie qui célèbre la créativité, l'innovation et le respect de notre environnement. ArtEcoVert La voix de la couleur végétale et des plantes tinctoriales met en lumière ces valeurs essentielles et vous invite à repenser votre rapport aux textiles.PaulineArtEcoVert informe et inspire celles et ceux qui veulent repenser la couleur autrement, et les accompagne dans leur transition vers une couleur plus durable — avec des témoignages concrets le jeudi
J'ai le plaisir de recevoir Hoshi. Chanteuse, autrice-compositrice et interprète incontournable de la scène française, elle se livre avec une sincérité rare sur les périodes de sa vie qui l'ont le plus transformée.Elle revient également sur son nouveau single Bonjour Docteur, sorti le 20 mars, premier aperçu de son prochain album attendu en 2026.Pourquoi a-t-on parfois du mal à accepter l'aide des autres ?Comment distinguer l'amour de l'emprise ?Et si apprendre à être seul était une étape essentielle pour se retrouver ?Qu'est-ce qui nous pousse à toujours vouloir plus, même lorsque nous avons déjà atteint ce que nous cherchions ?Au fil de notre conversation, on parle de santé mentale, de dépendance affective, de comparaison, de réussite et de reconstruction. On explore ces moments où tout semble vaciller, mais aussi ce qu'ils peuvent nous apprendre sur nous-mêmes. Un épisode sur les contradictions que l'on porte, les croyances que l'on déconstruit et la douceur que l'on peut parfois retrouver après la tempête.Je vous souhaite une très bonne écoute !Recommandations :À lire : Les Amants du Spoutnik, de l'écrivain japonais Haruki Murakami—Pour découvrir les coulisses du podcast : https://www.instagram.com/inpowerpodcast/Pour en savoir plus sur Hoshi : https://www.instagram.com/hoshi/https://www.l-productions.fr/artistes/hoshibonjourdocteurPour suivre mes aventures au quotidien : https://www.instagram.com/louiseaubery/Si cet épisode vous a plu, vous aimerez sûrement celui-ci :https://shows.acast.com/inpower/episodes/styleto-chanteuse—Chapitrage : 00:01:00 - Apprendre à s'aimer00:05:30 - S'inspirer des autres00:08:50 - Dépasser la peur de l'échec00:15:20 - “Bonjour Docteur”00:17:40 - Ce qu'on ignore d'Hoshi00:21:27 - Transformer sa vision de l'amour00:23:50 - Sortir de l'emprise00:24:20 - Préférer la paix au chaos00:26:00 - Assumer sa singularité00:32:40 - Toutes ses dernières fois00:35:10 - Parler de santé mentale00:42:00 - Combattre le harcèlement et l'homophobie00:56:00 - Le jardin secret d'Hoshi01:01:00 - Recommendations01:02:00 - Questions signatures Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
Hugo Martin raconte les limites qu'il a rencontrées en tant qu'entrepreneur autodidacte : le manque de connaissances sur certains sujets, la nécessité de progresser vite, l'usage de l'IA pour structurer ses réflexions… mais aussi une erreur de management importante : vouloir trop simplifier le travail de ses équipes en leur donnant du “clé en main”.Un retour d'expérience concret sur l'importance d'apprendre en permanence, de s'entourer des bonnes personnes et de faire participer ses équipes à la construction de l'entreprise, à découvrir dans l'épisode complet.
« Notre métier c'est de transformer des personnes en chefs d'entreprise. »
Send us a text or a voicemailLong-buried wounds rise to the surface when has-been podcasters reunite with their estranged best friend and former producer, on the eve of their comeback episode. On Episode 722 of Trick or Treat Radio our featured film discussion is Mother Mary from director David Lowery! We also talk about dumb Transformer names, scream kings, and we react to trailers for the films; Hope and Blowie! So grab the outfit you wish to make your triumphant return in, steer clear of any unwanted imprints, and strap on for the world's most dangerous podcast!Stuff we talk about: Cannibal Holocaust, Grindhouse Releasing, Ruggero Deodato, 16mm aspect ratio, Sage Stallone, The Truth Commission, Sheiky Baby, Mounties, Force Insensitive, Mandalorian and Grogu, Skids, Transformers, dumb Transformer names, Beachcombers, The H Man, The Changeling, Visiting Hours, Seed People, Urban Legend, Psycho Beach Party, An Erotic Vampire in Paris, Cherry Falls, Night of the Demons, Hellraiser, Ashley Lawrence, Stepfather 3, The Andromeda Strain, The Drew Carey Show, Willard, Reflection of Fear, Zelda Rubenstein, I Hate My Body, Mummy's Revenge, Night of the Seagulls, The Bat, Karen Carpenter's The Thing, Morris Day and the Time, Young MC, The Circle Jerks, Todd Browning's Freaks, Freaked, Psychos in Love, Na Hong-Jin, Hope, Miami Connection, Drew Struzan, Blowie, Deadstream, Nightmare on Elm St Pt. 2, Scream Kings, Mark Patton, Curse of the Queer Wolf, Dice Gottfried, Smallville, The Green Knight, Dev Patel, Anne Hathaway, David Lowery, Stephen King, The Shining, Pain Cave, Hawk the Slayer, imprinting, Free Britney, Dark Knight Rises, Abigail, Elijah Wood, Ready or Not 2: Here I Come, Samara Weaving, Kathryn Newton, David Cronenberg, Anthony Michael Hall, a humble egomaniac, hope nope and rope, a beautiful nothing, and more money than Zod.Support us on Patreon: https://www.patreon.com/trickortreatradioJoin our Discord Community: discord.trickortreatradio.comSend Email/Voicemail: mailto:podcast@trickortreatradio.comVisit our website: http://trickortreatradio.comStart your own podcast: https://www.buzzsprout.com/?referrer_id=386Use our Amazon link: http://amzn.to/2CTdZzKFB Group: http://www.facebook.com/groups/trickortreatradioTwitter: http://twitter.com/TrickTreatRadioFacebook: http://facebook.com/TrickOrTreatRadioYouTube: http://youtube.com/TrickOrTreatRadioInstagram: http://instagram.com/TrickorTreatRadioSupport the show
we investigate the functional limitations, environmental costs, and security vulnerabilities inherent in modern artificial intelligence and the Transformer architecture. Research from MIT and various technical papers highlights how AI faces "model collapse" when trained on synthetic data, as well as "catastrophic forgetting" where new information causes the system to lose prior knowledge. Mathematical analyses demonstrate that Transformers struggle with function composition and complex logic, often leading to factual hallucinations and reasoning errors. Furthermore, the texts identify prompt injection attacks as a significant security risk, where malicious instructions can bypass safety guardrails to leak data or spread misinformation. Collectively, the documents suggest that while AI is transformative, it remains constrained by technical bottlenecks, reliability issues, and high resource consumption. Efforts toward achieving Artificial General Intelligence must therefore overcome these fundamental obstacles through better data quality and enhanced architectural robustness.
Haroon Inam is Co-founder and CEO of DG Matrix, a company that makes the world's most compact Power Router, aggregating distributed energy for GenAI datacenters, microgrids, fleet electrification, and associated systems. As AI workloads drive unprecedented electricity demand and legacy grid infrastructure struggles to keep pace, DG Matrix has commercialized the world's first multi-port solid-state transformer to meet the energy needs. In this episode, Inam explains why transformer bottlenecks, distributed generation, and 800V DC architectures are reshaping the future of power delivery for AI infrastructure. He discusses DG Matrix's product strategy, manufacturing scale-up plans, and the role of software-defined power systems in next-generation data centers. Finally, Inam shares his take on the future of distributed microgrids and “cellular power” and how to scale power electronics manufacturing. DG Matrix recently closed a $60 million Series A led by Engine Ventures that MCJ is proud to have participated in. Episode recorded on May 13, 2026 (Published on May 26, 2026) In this episode, we cover: (00:00) Overview of DG Matrix (01:41) Introducing the Founders: Haroon Inam and Dr. Bhattacharya (05:25) How traditional grid architecture became constrained for AI workloads (09:57) Solid-state transformers (SST), multi-port systems and voltage classes (12:18) Why early SST efforts struggled economically (13:13) How DG Matrix's multi-port architecture works (16:48) Comparing DG Matrix hardware footprint to legacy power systems (20:08) Transformer shortages and data center infrastructure bottlenecks (24:27) DG Matrix's medium-voltage and low-voltage product strategies (27:55) Product rebranding and current commercial deployments (30:45) Partnerships with EPC firms, battery providers, and turbine manufacturers (34:27) Manufacturing scale-up plan and hyperscaling production (36:36) Supply chain strategy to avoid rare earth dependencies (38:16) Reliability engineering and software-defined power systems (43:47) DG Matrix's go-to-market and hybrid hardware/software business model (46:36) The vision for distributed “cellular power” (48:14) Utilities, microgrids, and the future of interconnected distributed infrastructure Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at info@mcj.vc.Connect with MCJ:Cody Simms on LinkedInVisit mcj.vcSubscribe to the MCJ Newsletter*Editing and post-production work for this episode was provided by The Podcast Consultant
Many of us might have misconceptions about the Holy Spirit. We may think of Him as an impersonal force, like something out of Star Wars. Or we might assume He is a mere projection of the Father's work in the world. But Scripture tells us that the Holy Spirit is a person, like God the Father or Jesus Christ the Son. He can be grieved and lied to, and He cares deeply about us. This week, Pastor Connor continues our series on the Trinity with a message on the Holy Spirit and His roles in the world. He is the Convicter who shows us our need for a Savior, the Indwelling Presence of God who comforts and helps us, the Transformer who makes us more like Christ, the Advocate who makes our prayers acceptable to God, the Great Giver of spiritual gifts, and the Guarantee of our salvation. Every step of the way, He is a vital participant in how the gospel changes our lives.This week, our hosts continue their discussion on the trinity, some of the talking points were, are we supposed to have all the fruits of the spirit, what will the Holy Spirit's role be after Christ returns, and so many more questions about the Holy Spirit. Oh and tune into the beginning to hear our hosts talk about their close encounters with fire.Got questions about the trinity? Follow the link below to share them.https://discovertbc.churchcenter.com/people/forms/1216130If you would like to watch the video podcast, find us on YouTube:https://www.youtube.com/channel/UCMhDfGn0zfzi6XjcKkSVcFAFacebook: https://www.facebook.com/discovertbcInstagram: https://www.instagram.com/topekabiblechurchWebsite: https://www.discovertbc.com/
La voiture électrique entre dans une nouvelle phase d'accélération technologique. Recharge en quelques minutes, véhicules autonomes, plateformes logicielles : l'automobile devient un écosystème numérique à part entière.
Connected with the HPC 5-18-2026 - Safe Digging & Transformer Beautification by Hosted by the voices of WYRZ
Gary Rivlin introduces his book AI Valley, highlighting the pivotal 2017 "transformer" paper by Google researchers that allowed computers to understand language contextually. This breakthrough became the foundation for OpenAI'sChatGPT, as the transformer architecture solved previous struggles with natural language processing. Rivlin details Sam Altman's rise through Y Combinator, an influential "startup machine" that provided seed money and intensive training for successful companies like Airbnb. Initially founded in 2015 as an idealistic nonprofit with Elon Musk, OpenAIaimed to develop safe AI for humanity. However, Altman eventually steered the company toward a "capped-profit" model to secure the billions of dollars required for talent and computing power. (1/8)1848 SAN DIEGO
Pour ceux qui souhaitent rejoindre la #TribuESOA c'est par ici : https://bit.ly/TribuESOAVoici ce que vous obtenez en rejoignant la tribu ESOA :✅ Echangez quotidiennement avec Kahi, Moulaye pour co-construire le podcast mais aussi sur vos difficultés, interrogations et l'actualité en toute simplicité !✅ Accès d'un an à la communauté privée ESOA (La tribe): un réseau exclusif de 200 membres dans 15 pays entrepreneurs et professionnels africains partout dans le monde pour développer votre réseau, échanger, et vous entraider.✅ Accès à tous nos Masterminds, Book Clubs, Meetups, et événements ESOA exclusifs et à tarifs réduits: participez à des sessions interactives avec Kahi, Moulaye, et des experts invités pour enrichir vos connaissances et votre réseau.✅ Le Template du Life Plan de Moulaye et Kahi: des outils concrets pour clarifier vos objectifs professionnels et personnels, adaptés à tous les profils.✅ Le Replay unique du Mastermind du 18 Décembre “Construire son plan de vie”Un contenu exclusif pour vous guider dans la création de votre plan de vie et de carrière.---------Le Podcast "#Entrepreneur State Of Africa" dit tout haut ce que les #entrepreneurs pensent tout bas, avec Kahi Lumumba (Co-Founder & CEO Totem Experience, Adicomdays) et Moulaye Tabouré (Co-Founder & CEO de ANKA (ex-Afrikrea) ). Dans cet épisode, en marge des ADICOM 2026, Kahi et Moulaye reçoivent Steeve Onana, fondateur de @Musicfeelingstv une conversation sans filtre sur la musique, les artistes, les labels, la culture noire et l'économie réelle derrière l'industrie musicale.Steevy revient sur son parcours, de ses débuts avec un blog musical à ses longues analyses devenues cultes, jusqu'à la création d'une communauté capable de financer son travail directement.Dans cet échange, on parle notamment de :• pourquoi beaucoup d'artistes ne possèdent pas vraiment leur musique• le rôle des masters, du songwriting et des labels• Whitney Houston, Beyoncé, Taylor Swift, Kanye West, Rihanna, Russ et Ryan Leslie• la différence entre être interprète, auteur et propriétaire de son catalogue• pourquoi le modèle américain et le modèle français ne fonctionnent pas de la même manière• la difficulté de monétiser du contenu autour de la musique• les marques qui ne comprennent pas toujours la valeur d'une audience noire• comment Steevy a levé 30 000€ auprès de sa communauté en moins de 24h• la tension entre passion, art, commerce et indépendanceUn épisode essentiel pour tous ceux qui aiment la musique, mais aussi pour les créateurs, artistes et entrepreneurs qui veulent comprendre où se trouve réellement le pouvoir dans l'industrie culturelle.⏱ Chapitres :00:00 Introduction00:00 Le parcours de Steevy et la naissance de Music Feelings00:00 Pourquoi il a refusé l'industrie du disque00:00 La vérité sur les labels et les artistes00:00 Masters, droits d'auteur et propriété musicale00:00 Taylor Swift, Beyoncé, Whitney Houston et Kanye West00:00 Rap français vs rap américain00:00 Pourquoi la France valorise mal la culture noire00:00 Transformer sa communauté en sponsors00:00 Comment il a levé 30 000€ en moins de 24h00:00 Les leçons business pour les artistes et créateurs
What a cool game this is! Thanks so much to Stern pinball for the invite and sandwiches! Here how my time with the game went.Assets, layout, art, and yeah, pretty much Transformers.
KEE-CU-KOK! Join us today as we discuss the 1986 animated film, THE TRANSFORMERS: THE MOVIE (spoilers!), just in time for its 40th anniversary! We delve into the film's huge cast of characters, it's place within the continuity of the original animated series, the bonkers soundtrack, the heightened amount of violence & cursing included in this hour-and-a-half toy commercial aimed at children, and much more! We also discuss our respective histories with the Transformers franchise, what objects we'd transform into if possible, Transformers toys & model kits, the cartoon character-color selecting game website ToonTone.com, and our reinterpretation of a particular Transformer's death throes. Fun! ———————————————————— To see images of the stuff discussed, look at your device's screen while listening! Go here to get some LTAS Merch: http://tee.pub/lic/huI4z_dwRsI Email: LetsTalkAboutStuffPodcast AT gmail DOT com Follow LTAS on Instagram: https://www.instagram.com/ltaspod/?hl=en Subscribe to Steven's YouTube channel: https://youtube.com/@alittlelessprofoundfilms?si=exv2x7LZS2O1B65h Follow Steven on Letterboxd: https://letterboxd.com/stevenfisher22/ Brent is not on social media. A 5-Star rating on your podcast app is appreciated! And if you like our show, share it with your friends!
India's AI moment is louder than its rank. 100M+ ChatGPT users. #2 globally in usage. Still 76th in the world on per capita penetration. So what's actually happening on the ground?In this episode of Z47 Moments, Vikram Vaidyanathan and Ashwin Raguraman (Head of AI, walk through The India AI Edge: a three-month primary research effort by Z47, OpenAI, and Zinnov. The report draws on first-party ChatGPT data from OpenAI and interviews with 100+ CXOs across India's largest enterprises, traditional businesses, and emerging companies.They unpack: Why India's AI map looks nothing like its tech map: Delhi #1 in GDP penetration, Ahmedabad in the top 5 for coding, Assam 3x the national average on education usage The flip nobody saw coming: in mid-2024, Gen Z (18–24) overtook 25–34 as India's dominant AI cohort, and now drives nearly half of all ChatGPT messages Work-to-non-work: how India went from 60% work usage to 65% non-work usage in a year, and what that says about penetration The four enterprise adoption archetypes: Tinkerer, Democratizer, Transformer, Enforcer, and why ~1 in 4 Indian enterprises is stuck in the wrong one The trillion-dollar gap to Viksit Bharat, and the specific role AI would have to play to close it The four pillars India needs to scale: compute (200–250 MW today → 7 GW needed by 2030), talent, data (and the "data colony" question), and the companies actually being built To read the full report, go to: The India AI Edge Website: https://z47.com/how-india-uses-aiLink to report: https://www.ai-edge.z47.com/The-India-AI-Report.pdfChapters00:00 — Cold Open: The Stats That Set the Frame00:49 — Inside the Report: 100M Users, 100+ CXOs, OpenAI Data02:14 — How AI Is Redrawing India's Map04:59 — The Gen Z Takeover11:24 — Work to Non-Work: India's Usage Flip15:01 — Enterprise AI: The Four Archetypes25:27 — The Enforcer Trap (And How to Escape It)33:21 — Can AI Close India's Trillion-Dollar Gap?37:22 — Compute, Talent, Data, Companies: The Four Pillars47:15 — India's AI Ecosystem & Closing
William Bailey raconte le pari radical qui a lancé Bolero : quitter son job, négocier une rupture conventionnelle, utiliser son CPF pour apprendre à coder et créer lui-même le premier prototype de sa plateforme. Plutôt que de tester son idée “à côté”, il choisit d'aller vite, convaincu que l'exécution et la rapidité feraient la différence.Une prise de risque fondatrice, qui le mène à rencontrer son associé Arthur Amon pendant sa formation, à construire les premières bases de Bolero et à se donner seulement quelques mois pour générer du chiffre d'affaires.Un témoignage inspirant sur le passage de l'idée à l'exécution, à découvrir dans l'épisode complet.
Allen covers NextEra’s potential $400 billion buy of Dominion Energy, US developers racing the July tax credit deadline, Ming Yang scouting Spain for a factory, Turkey opening its first offshore wind tender, and Hornsea 3’s first foundation going in. Sign up now for Uptime Tech News, our weekly email update on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on Facebook, YouTube, Twitter, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary Barnes’ YouTube channel here. Have a question we can answer on the show? Email us! Allen Hall 2025: Good morning, everyone. The world is racing at the minute, and let’s start with the biggest race of all. NextEra Energy, the largest utility in America by market value, is in talks to buy Dominion Energy of Virginia. The price? It’s about $76 a share, roughly $66 billion. With debt, the combined company would be valued at about $400 billion. That would make it the largest power deal on record. A mostly stock transaction, at least that’s what’s being reported, and a deal could come as soon as this week. Pretty shocking. Now, why does this matter to wind? NextEra is [00:01:00] not just a utility. It is one of the largest renewable energy developers on the planet. And Dominion sits on top of Northern Virginia’s data center alley, the biggest concentration of data centers in the country. Dominion expects its peak demand to double by the end of the twenty-thirties, American power consumption hit a second straight record in twenty-twenty-five, and it’s still climbing. So the company that builds more wind and solar than almost anyone wants to merge with the company that serves the hungriest grid in America. That is a race to the top. But down on the ground, developers are running a very different kind of race. Wind projects under construction in the United States are up 60% since the start of twenty-twenty-five. Solar is up about 50%. Why the surge? Well, the clock is ticking. Tax credits for wind and solar were gutted in the one big beautiful bill. Projects must begin construction by July 4th [00:02:00] and prove they are building continuously to qualify. Under the Inflation Reduction Act, those credits were supposed to phase out at the end of twenty-thirty-three. Now that deadline is just a couple of weeks away. Developers are pushing hard on projects that can make it and abandoning the ones that cannot. One solar executive put it plainly: “A lot of the projects are going to die on the vine.” And that’s a real shame. Labor is short. Of course, electricians are in demand. Transformer lead times have stretched to 18 months because data centers are buying them too. Even permits are hard to get. Projects that touch federal land, of course, that once took a month to approve are now waiting up to a year. So while NextEra races to buy the grid, developers are racing to build before the door shuts. Now, across the Atlantic, there’s a different kind of race going on. Chinese turbine manufacturer MingYang [00:03:00] Smart Energy is looking for a new home, and quick. Back in March, Britain blocked the company’s plans for a one-and-a-half billion pound factory in Scotland, mostly based on security grounds. MingYang’s European chief, Horatio Evers, says the company is now talking to Spain and scouting other locations on the continent. He says MingYang wants to build turbines in Europe with a European workforce. And this is the part I don’t understand, ’cause European workforce tend to be more expensive. However, uh, MingYang wants to build that factory, but there’s a condition. They need a guarantee that their turbines will be allowed into the market, and so far that hasn’t happened. The European Commission launched a review of Chinese manufacturers back in 2024. Those findings are still unpublished. So MingYang is racing to find a country willing to say “Yes.” Further east, Turkey is entering the offshore wind [00:04:00] race for the first time. The government has defined four areas along its western coast, all on the Aegean, for its first ever offshore wind tender. Turkey’s energy minister says Turkey aims for five gigawatts of offshore wind by 2035. The country has committed $30 billion to transmission infrastructure. And Turkey already has 15 gigawatts of onshore wind spinning today. Turkey is, of course, a NATO ally, and it straddles Europe and Asia, and now it’s stepping into offshore wind. And finally, up in the North Sea, off the coast of Norfolk, England, 75 miles from shore, Cadeler of Copenhagen just installed the first monopile foundation at Hornsea 3. When complete, Hornsea 3 will be the single largest offshore wind farm on the planet. 2.9 gigawatts, 197 foundations, enough power for 3.3 [00:05:00] million British homes. The project is owned by Danish giant Ørsted and will bring 5,000 construction jobs to the region. Hornsea 1 and 2 are already spinning, and of course, Hornsea 4 is on the drawing board. So here’s the picture. America’s two biggest utilities are racing toward a $400 billion merger. Developers are sprinting to break ground before the Fourth of July. A Chinese turbine maker is searching Europe for a factory, and Turkey is marking out its first offshore wind zones. And over in Britain, they just planted the first foundation at the world’s largest wind farm. Everyone is racing. The only question is, who gets there first? And that’s the state of the wind industry for the 18th of May, 2026. Join us tomorrow for the Uptime Wind Energy podcast
People First Podcast I Western and Central Africa I World Bank Group
Dans cet épisode, nous donnons la parole à des voix qui font de l'eau bien plus qu'une ressource : un levier de prospérité, d'égalité et de transformation. De Conakry à Washington, en passant par les champs irrigués du Sahel, nous explorons comment une meilleure gestion de l'eau peut nourrir des milliards de personnes, créer des centaines de millions d'emplois et ouvrir de nouvelles perspectives pour les femmes et les jeunes d'Afrique de l'Ouest et du Centre.Ces témoignages illustrent l'ambition du Groupe de la Banque mondiale, qui place l'eau au cœur de sa stratégie de développement, comme en témoigne le lancement de l'initiative « Water Forward — Place à l'eau » lors des dernières Réunions de printemps.Le podcast People First est disponible en ligne, sur Spotify et sur Apple Podcasts. Pour ne rien manquer, abonnez‑vous et n'oubliez pas de noter et de commenter cet épisode.Séquences00:00 Introduction02:06 Rééquilibrer l'usage de l'eau dans le système alimentaire mondial04:15 245 millions d'emplois à portée de main06:21 Quand l'eau change une vie - témoignage de Guinée07:38 L'eau comme opportunité pour l'Afrique de l'Ouest et du Centre09:49 Transformer l'engagement des parties prenantes en résultats concrets11:41 ConclusionÀ propos du People First Podcast:People First Podcast vient apporter un éclairage humain et concret sur les thématiques de développement spécifiques aux habitants d'Afrique de l'Ouest et du centre, et sur la contribution du Groupe de la Banque mondiale. People First Podcast, pour un développement durable et inclusif !À propos du Groupe de la Banque mondiale:Le Groupe de la Banque mondiale est l'une des plus importantes sources de financement et de connaissances au monde pour les pays à faible revenu. Ses cinq institutions partagent l'engagement de réduire la pauvreté, d'accroître la prospérité partagée et de promouvoir le développement durable.
Kevin Werbach speaks with long-time responsible AI leader Rumman Chowdhury the current environment, in which substantive standards and oversight efforts for AI are taking shape amid a larger anti-regulation wave. Chowdhury distinguishes sharply between frontier labs, where the posture is largely "AI at all costs," and the non-tech enterprises she works with, who are wrestling with how to scale governance bodies that originally reviewed single AI implementations to hundreds of systems, third-party procurement questions, and agentic workloads. She describes the current evaluations market as immature on nearly every dimension, and explains why generic benchmarks rarely translate to enterprise contexts like insurance or auto manufacturing. The conversation then turns to AI's impact on work and education. Her concern is that companies pursuing short-term efficiency by cutting entry-level hiring will face what MIT researchers Caosun and Aral call the "augmentation trap," in which workers' cognitive skills atrophy while new workers never develop them. She offers "discernment" as her 2026 word of the year, discribing the skill -- more than just critical thinking -- we must cultivate and defend. Her new podcast and forthcoming book, Thinking About Thinking, argues that our notion of intelligence was built for an Industrial Revolution workforce we are now automating away. Dr. Rumman Chowdhury is the founder of Humane Intelligence PBC, building modular, tool-agnostic AI evaluation infrastructure for enterprise and real-world contexts. She co-founded the nonprofit Humane Intelligence in 2022 and served as its CEO until 2025. She previously was Director of the Machine Learning Ethics, Transparency, and Accountability team at Twitter, founder of the algorithmic audit platform Parity, and Global Lead of Responsible AI at Accenture, where she built one of the first enterprise-level bias detection tools. She has served as U.S. Science Envoy for AI and as a Responsible AI Fellow at Harvard's Berkman Klein Center, and holds a doctorate in political science from the University of California, San Diego. Transcript Virginia SB 384 / HB 797 — Independent Verification Organization legislation (Fathom) The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading Open to Debate: Will AI Make Work Obsolete? Why AI evals need to reflect the real world (Transformer)
Il y a un sujet que presque tous les entrepreneurs redoutent : le contentieux.Pas forcément parce qu'ils ont fait quelque chose de mal. Mais parce que dans la vie d'une entreprise, le risque juridique est partout : une clause mal rédigée dans vos CGV, un contrat de sous-traitance trop flou, une relation commerciale qui tourne mal. Et quand cela arrive, les conséquences peuvent être dévastatrices : des années de procédure, des sommes astronomiques, une énergie engloutie qui n'ira pas dans votre cœur de métier. C'est exactement pour parler de tout ça que j'ai invité aujourd'hui Sylvie Gallage-Alwis : voir le problème en face et vous donner des clés simples et concrètes pour l'éviter. Sylvie est l'une des références européennes du contentieux des produits défectueux. Elle représente ainsi les fabricants de produits, ce compris étrangers, dans tous leurs contentieux en France. Dans cet épisode, réalisé en partenariat avec le cabinet Signature Litigation, elle nous explique concrètement comment anticiper un litige, se structurer, et éviter les erreurs les plus courantes, quelle que soit la taille de votre activité… et sans en faire une usine à gaz. Ce qui m'a frappée chez Sylvie, au-delà de son expertise, c'est sa personnalité : solaire, directe, profondément humaine. Tout le contraire de l'image austère qu'on pourrait avoir d'une avocate spécialiste du contentieux.J'espère de tout cœur que cette nouvelle leçon vous fera gagner un temps précieux. Bonne écoute ✨CHAPITRAGE 00:00 – Introduction01:22 – Parcours de Sylvie Gallage-Alvis04:43 – Comprendre ce qui fait basculer une situation09:30 – Les erreurs invisibles qui coûtent très cher15:38 – Transformer une situation difficile en levier24:30 – Anticiper plutôt que subir : les bons réflexes33:30 – Négociation, médiation : éviter l'escalade42:00 – Protéger son entreprise dans la duréeNotes et références de l'épisode Cet épisode est sponsorisé par le cabinet Signature Litigation Paris.Pour retrouver Sylvie Gallage-Alwis : Sur LinkedIn Pour retrouver le cabinet Signature Litigation Paris : Sur LinkedIn Sur leur site Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Don't forget the Holy Spirit If you are in a relationship w/ God then you have His Spirit. He does many things for us. We started off by talking about how He challenges us about our sinfulness. Now we talk about He transforms us from slavery into freedom.
Pour écouter l'épisode en entier, tapez "#540 - Sissy Mua - Youtubeuse, Trainsweateat - L'app fitness la plus utilisée de France" sur votre plateforme d'écoute.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
It's a Friday, which means it's time for another Shoot Around — the show where we throw everything at the wall and see what sticks. Big Shot Bob himself, Robert Horry, is back in the building for Episode 132, and this one goes all over the place. We kick things off reacting to Skip Bayless returning to First Take for a one-time reunion with Stephen A. Smith. Nobody asked for it, everybody's gonna watch it — including us. But it raises a fair question: are you tuning in because you actually enjoy them, or just because it's been so long that nostalgia has you by the throat? From there we got into what TV reunions we'd actually want to see, which somehow turned into Rob getting volunteered — live, on the spot — to host a new version of NBA Inside Stuff with Ahmad Rashad's old job. He ran with it. Like, really ran with it. The man had co-host candidates locked and loaded (Cheryl Miller, Monica McNutt, and others get a mention), a vision for the show, and apparently more enthusiasm for a job he doesn't have than the one he does. Incredible. Then things got weird. A United Airlines plane clipped a bakery truck on the Jersey Turnpike on approach to Newark — and we had the audio. That set off a whole conversation about terrifying aviation moments, NBA team charter planes, which franchises had the nicest setups (Dallas and Portland apparently had the goods), and the time Rob was sitting next to Butter Bean on a late-night flight when the guy in front of them went completely still and his wife lost her mind thinking he was dead. Spoiler: sleep paralysis. A listener named Richie sent in a question after a wild JP Morgan story broke this week — a guy fabricated a sexual harassment case, it went everywhere before anyone fact-checked it, and the woman got dragged online for days before the truth came out. That opened the door for Rob to share a story he's apparently never told publicly: the time a woman he didn't even know filed a false harassment claim against him with the Lakers, complete with unsolicited fan mail that's... a lot. We won't spoil the details. But it ended with Rob's lawyer sorting it out after discovering the same woman had done it to three other people. We wrapped up with a question from Vic about the Mandalorian movie dropping near May the 4th, Star Wars fatigue, and whether Marvel is stuck in the same trap — giving away so much for free on streaming that nobody wants to pay for the theatrical version anymore. Then, naturally, it was Cinco de Mayo (Taco Tuesday edition), which meant Rob had to explain a very chaotic night in Austell, Georgia, a sombrero, a man in a full Transformer outfit, and getting home at 3 AM. Friday energy. All the way through. Subscribe to Shoot Around wherever you get your podcasts and send your questions and crazy stories our way — we read them all. 0:00 Intro – Big Shot Bob Opens the Show 1:10 Skip Bayless Returns to First Take with Stephen A. 2:30 What TV Reunion Would You Actually Want to See? 3:30 Harper Gets Volunteered to Host New NBA Inside Stuff 8:00 Craziest Audio of the Week: United Airlines Hits a Bakery Truck 10:30 Craziest Plane Story: Rob's Recruiting Visit to Georgia Tech 11:30 The Man Who Looked Dead (But Wasn't) – Sleep Paralysis Story 14:00 What NBA Team Charters Are Actually Like Inside 17:00 Delta Passenger Refuses to Hang Up – Delays Entire Flight 18:00 Listener Q (Richie): JP Morgan False Harassment Story 19:00 Has Anyone Ever Lied on Rob Horry? (The Answer Is Yes) 20:00 Rob's Untold Story: False Accusation Filed With the Lakers 23:00 Jenners Story: Someone Checked Into a Hotel Under His Name 25:30 Listener Q (Vic): Is the Mandalorian Movie Worth Watching? 27:00 Cinco de Mayo Fell on Taco Tuesday – How Did You Celebrate? 29:00 Outro – The Real Meaning of Cinco de Mayo
Dans cet épisode, Axel Monsaingeon reçoit Maxime Legault, investisseur immobilier et fondateur de Virec, une entreprise spécialisée en intelligence artificielle et en analyse de données immobilières. Ensemble, ils discutent de l'évolution du marché immobilier grâce à l'IA, de l'importance de transformer les données en intelligence de marché actionable et de la façon dont investisseurs, courtiers et équipes d'acquisition peuvent prendre de meilleures décisions grâce à des systèmes de données intelligents. Maxime partage également son parcours d'investisseur, de son premier achat résidentiel jusqu'au développement d'outils d'intelligence immobilière capables d'identifier vendeurs actifs, acheteurs potentiels et opportunités cachées dans le marché. Une conversation essentielle pour tous ceux qui veulent comprendre comment l'IA révolutionne l'immobilier commercial et multirésidentiel au Québec et ailleurs. Sujets et horodatages
durée : 00:03:18 - Avec philosophie - par : Laurence Devillairs - Vous êtes d'humeur nostalgique et avez du mal à accepter que le passé ne se revit pas ? Pourquoi ressentons-nous cette mélancolie ? Face à ce sentiment, qui exprime le regret d'un temps à jamais révolu, la philosophe Laurence Devillairs propose une piste pour mieux le comprendre… et s'en libérer. - réalisation : Camille Renard, Virginie Le Duault, Anna Holveck Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
What Lives in the BasementThis is a week of pressure, depth, and reckoning.If you're feeling friction — between what wants to move in you and what the world seems to be asking, between your own pace and a larger momentum — you're reading the moment accurately.What is happening in the world is not separate from what is happening in us. The intensity in collective systems, the unraveling of familiar agreements about how things work — this is the outer expression of a reckoning that is also deeply interior.We are not observers of this moment. We are inside it.Key Cycles This Week:Monday, May 4: Mars in Aries squares Jupiter in Cancer. Heat and urgency meet complexity. A pull to act runs into questions not yet ready to be answered. Stay curious about what's driving the urgency — there may be something worth slowing toward beneath it.Tuesday, May 5: Mercury in Taurus squares Pluto in Aquarius. The surface explanation is no longer sufficient. Something beneath it is asking to be named. What is actually true here, beneath what is being projected or defended?Wednesday, May 6: Pluto stations retrograde at 5 degrees of Aquarius (remaining retrograde until mid-October 2026). This is the center of the week. When Pluto turns inward, the Transformer asks each of us to look at what we have kept in the basement. Old grief. Old agreements we didn't consciously choose. Old survival strategies still running in the background. Old stories about power.Collectively, we are watching what happens when the contents of the cultural basement begin to surface. The shadow of Western systems — the violence, the extractive logic, the domination long hidden or rationalized — is now more visible than it has been in generations.Pluto does not create what it reveals. It illuminates what was already present, waiting to be reckoned with.Sunday, May 10: Sun in Taurus sextiles Jupiter in Cancer. A softer note arrives. Groundedness meeting warmth. Let that in. It matters as much as the reckoning.Larger FrameWe are being asked to develop a capacity that dominator culture has systematically discouraged: the ability to remain present to what is difficult without checking out, numbing, or bypassing into false hope.The cultural shadow is surfacing. The personal shadow is surfacing. And the two are not separate.The invitation is not to fix everything. It is to stay awake, stay connected, and let the reckoning be real without letting it be the only thing that is real.Reflection QuestionsWhere am I feeling friction between what wants to move in me and what the larger moment seems to be asking?What might be living in my own basement right now — something I've been working around or haven't yet had room to name?As the collective shadow surfaces, what helps me stay present without collapsing into despair or turning away?Stay close to what is real. Stay connected to others in the ways that cannot be automated. And remember, even in times of deep reckoning, life continues to reorganize within the larger web of life.Podcast poem: Fearing Paris by Marsha Truman Cooper. Support the showGo to Sheila's website for information for transformational resources: https://www.ontheedgesofchange.comThis episode was co-created with generative AI, engaged as a soul-aligned ally in service of transformation. At the edge where technology meets myth, I choose insight over noise, and alchemy over automation. Thank you for dreaming the future with me.
This week, hosts Jim DeRogatis and Greg Kot talk with biographer Will Hermes about his book on Lou Reed, as well as Lou's music, persona, legacy and more.Join our Facebook Group: https://bit.ly/3sivr9TBecome a member on Patreon: https://bit.ly/3slWZvcSign up for our newsletter: https://bit.ly/3eEvRnGMake a donation via PayPal: https://bit.ly/3dmt9lUSend us a Voice Memo: Desktop: bit.ly/2RyD5Ah Mobile: sayhi.chat/soundops Featured Songs:Lou Reed, "Walk on the Wild Side," Transformer, RCA, 1972The Beatles, "With A Little Help From My Friends," Sgt. Pepper's Lonely Hearts Club Band, Parlophone, 1967The Velvet Underground and Nico, "Sunday Morning," The Velvet Underground & Nico, Verve, 1967The Velvet Underground and Nico, "Heroin," The Velvet Underground & Nico, Verve, 1967The Velvet Underground, "Pale Blue Eyes," The Velvet Underground, MGM, 1969Lou Reed, "Coney Island Baby," Coney Island Baby, RCA, 1975The Velvet Underground, "Some Kinda Love," The Velvet Underground, MGM, 1969Lou Reed, "How Do You Think It Feels," Berlin, RCA, 1973Lou Reed, "Perfect Day," Transformer, RCA, 1972The Velvet Underground, "Sweet Jane," Loaded, Cotillion, 1970The Velvet Underground and Nico, "I'll Be Your Mirror," The Velvet Underground & Nico, Verve, 1967The Velvet Underground, "Candy Says," The Velvet Underground, MGM, 1969Pixies, "Here Comes Your Man," Doolittle, 4AD and Elektra, 1989See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This week, hosts Jim DeRogatis and Greg Kot are joined by Ratboys lead singer and songwriter Julia Steiner. The Chicago band's sixth album, "Singin' To An Empty Chair," is one of the most acclaimed releases of 2026 so far. The hosts also review the new album from Chicago rockers, Friko.Join our Facebook Group: https://bit.ly/3sivr9TBecome a member on Patreon: https://bit.ly/3slWZvcSign up for our newsletter: https://bit.ly/3eEvRnGMake a donation via PayPal: https://bit.ly/3dmt9lUSend us a Voice Memo: Desktop: bit.ly/2RyD5Ah Mobile: sayhi.chat/soundops Featured Songs:Ratboys, "Anywhere," Singin' To An Empty Chair, New West, 2026The Beatles, "With A Little Help From My Friends," Sgt. Pepper's Lonely Hearts Club Band, Parlophone, 1967Friko, "Seven Degrees," Something Worth Waiting For, ATO, 2026Friko, "Guess," Something Worth Waiting For, ATO, 2026Friko, "Alice," Something Worth Waiting For, ATO, 2026Friko, "Choo Choo," Something Worth Waiting For, ATO, 2026Ratboys, "Folk Song For Jazz," AOID, Topshelf, 2015Rat Boy, "My Name Is Rat Boy," Internationally Unknown, Parlophone, 2019Ratboys, "Elvis Is In The Freezer," GN, Topshelf, 2017Ratboys, "Just Want You To Know The Truth," Singin' To An Empty Chair, New West, 2026Ratboys, "Making Noises for the Ones You Love," The Window, Topshelf, 2023Ratboys, "Burn It Down," Singin' To An Empty Chair, New West, 2026Ratboys, "At Peace In The Hundred Acre Wood," Singin' To An Empty Chair, New West, 2026Ratboys, "Light Night Mountains All That," Singin' To An Empty Chair, New West, 2026Lou Reed, "Vicious," Transformer, RCA, 1972See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In this episode of the HVAC School Podcast, host Bryan sits down with Johnny, the creator behind the popular social media channel "Let's Be Techs." Johnny brings a wealth of hands-on experience to the table, having spent his first 13 years in residential HVAC before transitioning into commercial refrigeration. He shares his unconventional path into the trade—starting out building houses before being recommended to an HVAC contractor—and how the lack of quality mentorship early in his career motivated him to create educational content for technicians. His videos, which began as a fun hobby and a way to teach his helper remotely, have since grown exponentially across TikTok, YouTube, and Facebook, and continue to attract technicians hungry for practical, real-world knowledge. The bulk of the episode is a deep dive into real-world troubleshooting strategies, covering everything from the very first moments you arrive on a job site to diagnosing complex intermittent electrical faults. Bryan and Johnny both emphasize the value of using your senses before reaching for specialty tools—listening for surging liquid lines, feeling condenser airflow with your hand, and visually inspecting service valves for oil before removing caps. They share a mutual philosophy that the best technicians are those who can step back, assess the big picture, and narrow down the problem systematically rather than immediately jumping to assumptions about charge levels or component failures. A significant portion of the conversation centers on low-voltage electrical diagnostics, an area where both techs have noticed major changes over the last several years. Bryan and Johnny discuss the rise of contactor coil failures, transformer overload from aftermarket add-ons like UV lights and zone dampers, and the clever use of a contactor in place of a fuse as a low-cost short-finder tool. They also revisit the concept of "tattletale" fuses and resettable fuses, comparing their reliability and appropriate applications. Throughout these discussions, both hosts bring in personal war stories that make the technical content feel grounded and immediately applicable to everyday service calls. The episode wraps up with discussions on thermal imaging cameras, scroll compressor anomalies, and a memorable consulting story from Barbados involving a VRF system. Johnny and Bryan also touch on the importance of sharing knowledge openly in the trades, pushing back against the gatekeeping mentality that leaves newer technicians struggling to find reliable information. Both agree that the comment sections of field-focused videos have become a valuable community resource—a place where techs teach each other, correct each other, and build a collective knowledge base that benefits the whole industry. Topics Covered Johnny's background: from construction to HVAC apprenticeship to commercial refrigeration How "Let's Be Techs" started as a fun hobby and grew into a major social media presence Using your senses first: listening, looking, and feeling before pulling out specialty tools Checking service valves for oil and inspecting caps/seals before connecting gauges Walk-in cooler first-response checklist: fans, thermostat display, suction line frost, liquid line surging Feeling condenser airflow direction to diagnose dirty or clogged coils Identifying capacitor and contactor issues from the moment you approach residential equipment The rise of contactor coil failures and how location-based dirty power contributes Transformer overload: understanding the 40 VA / 24V current rating and why a 5-amp fuse doesn't protect windings Aftermarket add-ons (UV lights, dampers, zone systems) overloading low-voltage circuits Float switches fusing closed from excess current draw The contactor-as-short-finder trick: a DIY alternative to the Short Pro tool Adding individual circuit fuses ("tattletale" fuses) for isolating intermittent low-voltage shorts Resettable (popper) fuses: reliability issues and why 3-amp versions outperform 5-amp versions Contextual diagnostics: thinking about when and why a fuse blew (weather, season, recent activity) The 225°F discharge line rule for monitoring compressor health Scroll compressor oddities: running backwards, check valve failures, and starting under equalized pressure VRF system quirk: electronic expansion valves staying open when power is cut to one air handler Thermal imaging cameras: practical applications in the field including electrical panels, motors, condenser coils, and compressor racks Using black tape (gaffer's tape) to improve thermal imaging accuracy on shiny surfaces Megohmmeter use for finding wire shorts that are intermittent but close to failing The importance of anti-gatekeeping: sharing knowledge freely and learning from community feedback Follow Johnny on social media as "Let's Be Techs" on YouTube, TikTok, Facebook, and Instagram. Have a question that you want us to answer on the podcast? Submit your questions at https://www.speakpipe.com/hvacschool. Purchase your tickets or learn more about the 7th Annual HVACR Training Symposium at https://hvacrschool.com/symposium. Subscribe to our podcast on your iPhone or Android. Subscribe to our YouTube channel. Check out our handy calculators here or on the HVAC School Mobile App for Apple and Android.
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