Podcasts about Superintelligence

Does the logic of human destiny now lead to artificial intelligence? Are we creating a higher form of intelligence in our own image? And, if so, what kind of image is that? These are the questions celebrated author Robert Wright asks in his new book, The God Test, which was published this week. Bob argues that we should not be surprised to see signs of deception, power-seeking, flattery, and autonomy in AI systems. These are not alien traits; they are behaviors that show up again and again in intelligent systems — including us. And if there is an evolutionary process at work in AI, then we are not just observers: we are part of the selection pressure. In the end, we may get the AI we deserve. This was such a wide-ranging conversation that we've divided it into two episodes. Today, we begin with the cosmic story: how life became mind, how mind became culture, and how culture has now begun to build a new mind — one that may surpass us.

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

Beth breaks down Max Tegmark's 12 futures framework from Life 3.0 — from AI extinction to human utopia — and explains why world leaders need to start picking which scenario humanity actually wants. #AI #ArtificialIntelligence #MaxTegmark #Life30 #AGI #Superintelligence #FutureOfHumanity #Extinction #Philosophy #Metaphysics #QuantumBombs #HumanCondition #SamAltman #Anthropic #OpenAI #TechOligarchs #Consciousness #FreeWill #Utopia #Dystopia #DigitalSurveillance

Sebastian Mallaby (@scmallaby) is the Paul A. Volcker senior fellow for international economics at the Council on Foreign Relations, a two-time Pulitzer Prize finalist, and the author of six books, including More Money Than God, The Power Law, The Man Who Knew, and The World's Banker. His latest book is The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.This episode is brought to you by:Eight Sleep Pod Cover 5 sleeping solution for dynamic cooling and heating: EightSleep.com/TimAG1 Pro all-in-one nutritional supplement: DrinkAG1.com/TimWealthfront high-yield cash account: Wealthfront.com/Tim Wealthfront disclaimer: New clients get 3.30% base APY from program banks + additional 0.75% boost for 3 months on your uninvested cash (max $150k balance). Terms and conditions apply. The Cash Account offered by Wealthfront Brokerage LLC (“WFB”) member FINRA/SIPC, not a bank. The base APY as of 1/30/26 is representative, can change, and requires no minimum. Tim Ferriss, a non-client, receives compensation from WFB for advertising and holds a non-controlling equity interest in the corporate parent of WFB, which creates a conflict of interest. Individual experiences and outcomes will differ. Instant withdrawals may be limited by your receiving firm and other factors. Investment advisory services provided by Wealthfront Advisers LLC, an SEC-registered investment adviser. Securities investments: not bank deposits, not bank-guaranteed or FDIC-insured, and may lose value.*Timestamps[00:00:00] Start.[00:02:11] The twinkly eyed polymath who became Sebastian's next book.[00:06:55] Picking the next book project the way a great VC picks a startup.[00:09:41] Why God keeps crashing the superintelligence party.[00:11:13] Shane Legg's grainy 2009 prophecy — and the nervous giggle.[00:13:11] Ilya Sutskever burns an effigy.[00:13:54] Demis at 4 a.m., hunting God's algorithm.[00:18:43] Super-abundance, Mad Max, and the China shock lesson.[00:22:39] The kitchen debate with Geoff Hinton that flipped Sebastian.[00:24:06] Why a zero-percent chance of doom is indefensible.[00:24:52] Will Washington seize the labs? The Mythos wake-up call.[00:27:18] Anthropic's bull case, bear case, and a dead parent's letter.[00:33:24] Where Sebastian and Benedict Evans part ways.[00:38:16] Is the SaaS apocalypse overdone? One word: Palantir.[00:39:53] The AI friend you'll never switch.[00:41:56] Does Google win consumer AI by default?[00:44:45] Four cities, eight days: China actually talks safety.[00:47:28] A Cold War non-proliferation playbook for AI.[00:49:45] Did the chip export controls actually work?[00:51:49] Burned doves: why Washington swears China won't talk.[00:54:56] "By 2028, the race is over" — one lab boss' bet.[00:59:11] Inside Hikvision: toddlers, sensors, and US sanctions.[01:01:07] Bill Gurley's Uber bet: venture capital perfected.[01:05:18] Luke Nosek bear-hugs DeepMind into existence.[01:10:52] Thiel's heresy: never invest by committee.[01:11:59] How Founders Fund nearly fumbled the deal of the century.[01:14:30] Selling to Google for $650M: a secret British heist?[01:16:41] The Traitorous Eight, gardening leave, and the UK's to-do list.[01:20:55] Ender's Game: "That's really how I see myself."[01:23:42] Too dumb for Gödel, Escher, Bach? Maybe an LLM can help.[01:25:19] If not Demis or Sam, then Dario.[01:26:04] My royalties cliff — and what dropped in late 2022.[01:27:47] Lila Sciences and the labs that run themselves.[01:31:13] Sebastian's billboard: "Prepare your mind."[01:35:14] The one thing Sebastian will never outsource to AI.[01:40:09] Parting thoughts.For show notes and past guests on The Tim Ferriss Show, please visit tim.blog/podcast.For deals from sponsors of The Tim Ferriss Show, please visit tim.blog/podcast-sponsorsSign up for Tim's email newsletter (5-Bullet Friday) at tim.blog/friday.For transcripts of episodes, go to tim.blog/transcripts.Discover Tim's books: tim.blog/books.Follow Tim:Twitter: twitter.com/tferriss Instagram: instagram.com/timferrissYouTube: youtube.com/timferrissFacebook: facebook.com/timferriss LinkedIn: linkedin.com/in/timferrissSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

For most of my career, technology felt predictable. A new software platform arrived. A new programming language appeared. A new cloud service changed how we deploy applications. Every wave of technology helped people work faster. But AI feels different. Over the last two years, I have watched professionals across industries experience something I have never seen before. People are not simply using a new tool. They are having conversations with technology. A marketer can generate campaigns. A consultant can build frameworks. A developer can create applications in hours instead of weeks. And every week, the systems become smarter. Personally, I have experienced this while building AI frameworks, experimenting with coding agents, and working with organizations trying to adopt Generative AI. Many times I have found myself staring at a screen thinking: "How did it do that?" Not because the output was perfect. But because the pace of improvement was faster than expected. This raises an important question. If AI is becoming more capable every month, how do we ensure we build systems that remain useful, trustworthy, and safe? That is exactly what we explore in today's Open Tech Talks conversation with Dr. Craig Kaplan. Episode # 190 Today's Guest: Dr. Craig A. Kaplan, Inventor of the designs and Technologies that enable safe SuperIntelligence. He is a pioneer in artificial intelligence and the inventor behind technologies designed for safe Superintelligence. For more than four decades, he has worked at the intersection of intelligent systems, ethics, and innovation, developing architectures that help AI evolve safely and remain aligned with human values. Website: SuperIntelligence YouTube: iStudios What Listeners Will Learn: How AI evolved from symbolic systems to Generative AI The difference between AI, AGI, and Superintelligence Why are many AI researchers concerned about AI safety Enterprise AI risks leaders should understand today Why AI agents are becoming the next major AI wave The rise of multi-agent and collective intelligence systems How organizations can design safer AI solutions Why AI is shifting from a tool to a digital coworker The future impact of AI on jobs and knowledge work Practical guidance for responsible AI adoption Resources: SuperIntelligence

In this episode of The Neuron, Corey Noles sits down with Mustafa Suleyman, CEO of Microsoft AI, at Microsoft Build 2026 to unpack Microsoft's next AI chapter: seven new MAI models, a push toward in-house model development, and the idea of Humanist Superintelligence.Mustafa explains how Microsoft is thinking about AI that can reason, code, generate images, transcribe speech, and power real products—without turning the future into a vague AGI race. The conversation gets into what “humanist” means in practice, why Microsoft is building models from the ground up, how AI agents may reshape work, and what it takes to keep increasingly capable systems useful, controlled, and aligned with human goals.You'll learn why Microsoft is investing in its own model family, how MAI-Thinking-1 and MAI-Code-1-Flash fit into the stack, why Suleyman frames superintelligence around human control, and what builders and operators should watch as agents move into real workflows.Sponsored by BeyondTrustCheck it out at: https://www.beyondtrust.com/products/identity-security-insights/assessment?campid=701Vw00000drII6IAMSubscribe to The Neuron for practical AI conversations with the people building what comes next.

Today I'm talking with Mustafa Suleyman, the CEO of Microsoft AI. This is a real burner of an episode. We covered everything from his approach to training new models to his criticisms of Anthropic talking about Claude as though it is conscious.  Of course, we also talked about Microsoft's relationship with OpenAI, how Mustafa is thinking about all the negative polling and political pushback around AI right now, and whether any of the consumer products are good enough to overcome it. Like I said, it's a burner. Read the full interview transcript on The Verge. Links:  Microsoft and OpenAI broke up — now they're ready to fight | The Verge Microsoft Build 2026: The 7 biggest announcements | The Verge Microsoft's first advanced reasoning AI is here | The Verge Microsoft's new ‘superintelligence' game plan is all about business | The Verge Here's how the new Microsoft and OpenAI deal breaks down | The Verge Microsoft AI chief says 18 months until white-collar tasks automated by AI | FT Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode: AI INDUSTRY & BUSINESSAnthropic confidentially files IPO prospectus with SECElon Musk Laid Out 602 Goals. We Counted How Many He Hit.'Disrupted or dead': AI is crushing a generation of startups built before ChatGPTAI SAFETY & POLICYDario Amodei: "Humanity is about to be handed almost unimaginable power"Trump signs AI safety order seeking voluntary review of new modelsPRIVACY & SECURITYHackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It WorkedLarry Ellison: "Citizens will be on their best behavior"TECH INNOVATION & CULTUREMicrosoft's next-gen quantum chip cuts timeline to useful quantum computing"Nobody's making games for the retired people" — The underserved market for grey gamersWEIRD AND WACKYHoming pigeons navigate using magnetic macrophages — in their liversThe Google Pixel Watch 5 may have been spoiled by the creator of BorderlandsZuckerberg's superyacht quietly slips into Elliott Bay after days of hecklersTech Rec:Sanjay - Firecrawl Adam - Lovable for Project ManagementFind us here:sanjayparekh.com & adamjwalker.comTech Talk Y'all is a proud production of Edgewise.Media.

Geoffrey Hinton is an AI pioneer, a Nobel Prize winner, and a professor emeritus at the University of Toronto. Hinton joins Big Technology Podcast to discuss AI's rapid progress, why he believes today's systems already understand us, and why he thinks superintelligence may arrive sooner than many expect. Tune in to hear Hinton explain why the technology has advanced faster than he anticipated, and lay out the risks he believes society is not doing enough to address. We also cover AI-driven job loss, the limits of corporate self-regulation, Anthropic and OpenAI's safety challenges, emotional attachment to chatbots, information collapse, and whether future AI systems can be designed to care about humans. Hit play for a fascinating conversation with one of AI's founding figures about where the technology is heading and what it could mean for all of us. Join the Big Technology AI Summit in San Francisco on June 18: summit.bigtechnology.com --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Learn more about your ad choices. Visit megaphone.fm/adchoices

Sebastian Mallaby spent three years and 30+ hours interviewing Demis Hassabis in the back of a British pub to write The Infinity Machine, and the conversation uses that reporting to surface the most underexplored figure in AI. Demis founded the original AI lab in 2010, won a Nobel Prize, runs models that consistently top the leaderboards, and yet remains so unrecognized that Sebastian's own publisher worried no one would buy a book with his face on the cover.  The throughline is a paradox: Demis tried to prevent the AI race we're now all living through, and now finds himself one of its central protagonists. He used to believe a single lab could carry the safety burden to AGI; he now sees safety as a collective action problem only governments can solve. He hedged DeepMind's research bets across every promising direction, and as a result missed the two most consumer-defining moments in modern AI — ChatGPT and Claude Code. He nearly spun DeepMind out of Google with a secret $1B Reid Hoffman pledge backing him, but never used the leverage and stayed — and won a Nobel Prize the next year. The episode also zooms out to the structural forces shaping the race — why hyperscalers can't out-recruit concentrated-bet labs, why Sebastian gives OpenAI roughly 50/50 odds of being absorbed by next summer, why he thinks Anthropic should IPO right now, and what the personal histories between Demis, Elon, and Sam reveal about who actually trusts whom.   (0:00) Intro (2:04) Was the AI Race Inevitable? (4:03) The 2015 Safety Summit Backfire (7:15) Can Governments Actually Fix This? (9:26) How the World Misread DeepMind (11:27) Why Google Never Makes the Concentrated Bet (15:51) Project Mario: The Secret Spinout Plan (19:43) What Demis Actually Regrets (23:46) Venture Startups vs. Tech Behemoths (27:50) Controlling the Narrative (30:40) The Talent War and Hiring Brand (34:08) David Silver and the RL True Believers (38:21) Demis, Elon, and the Evil Genius Feud (42:39) Great Man Theory vs. Inevitability (45:00) What Demis Didn't Want Published With your host: @jacobeffron - Managing Director at Redpoint

Gessat, Michael www.deutschlandfunk.de, Computer und Kommunikation

How did a teenage video game designer from London become a Nobel Prize-winning scientist behind one of the most consequential technology efforts in history? Sebastian Mallaby is a senior fellow at the Council on Foreign Relations and author of the new book, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence which provides an in-depth look into one of the greatest minds behind artificial general intelligence. In this episode, Sebastian and Greg discuss how Hassabis's early immersion in game design and neuroscience shaped his unique approach to artificial intelligence, why groundbreaking science is increasingly happening outside academia, and the tension between scientific discovery and corporate strategy.  *unSILOed Podcast is produced by University FM.* Episode Quotes: Why AI is becoming an ‘infinity machine' 03:01: It struck me that two breakthroughs in AI pointed to more to come. And these were AlphaGo and then AlphaFold. And what these two things had in common was—you had a sort of massive combinatorial space in both cases. So with Go, because it's a nineteen-by-nineteen board, the very first move, there's three hundred and sixty-one choices, then there's three-sixty for the second one. If you multiply that out, you pretty soon get to a search space which is sort of, you know, approaching infinity in terms of the number of possible permutations in the game. And with proteins, the way they can fold is even bigger. And so in both of these challenges, effectively, you have a machine that can make sense of near infinity of data, so an infinity machine. And once you have that, I figured, well, it's niche for the moment, but it may not stay niche forever. The “Third Way” that helped Google overcome the innovator's dilemma 44:06: The third way is you have a skunkworks, like DeepMind in London, which is a separate entity, and you're letting them kind of be the new policy in waiting, like the fightback policy in waiting. And you don't activate it. But when the moment comes when your competitor embraces the new technology, and you're in danger of falling foul of the innovator's dilemma, then you've got the answer because you've been keeping it ready, and you bring it in, and then you fight back fast. How DeepMind helped Google catch up in the AI race 42:54: How did they, in the space of two and a half years, go from the merger announcement to Gemini 3.0, which was better than the ChatGPT rivals? The key to it is that DeepMind had that top-down strike-team methodology, which came from the video game development world, and they imposed that on the Mountain View team, which was much more bottom-up and kind of inchoate in the research process. And that's what generated Gemini 3.0. That's how they got ahead. Show Links: Recommended Resources: Sebastian Mallaby | unSILOed AlphaGo AlphaFold Gödel, Escher, Bach by Douglas Hofstadter Geoffrey Hinton Mustafa Suleyman Guest Profile: Senior Fellow Profile at Council on Foreign Relations Professional Profile on LinkedIn Guest Work: The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence  The Power Law: Venture Capital and the Making of the New Future  More Money Than God: Hedge Funds and the Making of a New Elite  The Man Who Knew: The Life and Times of Alan Greenspan Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Freddy Gray is joined by Nate Soares, president of the Machine Intelligence Research Institute, to discuss the risks posed to humanity by AI. Warning that sufficiently intelligent AI may stop following human instructions entirely, Soares tells Freddy what, if anything, could keep AI from spiralling out of control. Become a Spectator subscriber today to access this podcast without adverts. Go to spectator.co.uk/adfree to find out more.For more Spectator podcasts, go to spectator.co.uk/podcasts.Contact us: podcast@spectator.co.uk Hosted on Acast. See acast.com/privacy for more information.

In the final episode of The Power of Why, I sit down with Cristina Rexach for a powerful conversation about the future of artificial intelligence, AGI, and superintelligence. We explore how AI is already transforming the way we work, think, create, and make decisions — and what could happen when machines move beyond narrow intelligence into AGI: systems capable of reasoning and learning at a human level or beyond. Together, we discuss:What AGI and “Super AI” really meanThe opportunities and risks aheadHow AI may reshape business, healthcare, education, and societyThe role of ethics, human judgment, and responsibilityWhat people should expect in the next 5–10 years This episode is both a reflection on where technology is taking us and a reminder of why human curiosity, critical thinking, and purpose matter more than ever. A thought-provoking finale to The Power of Why.About the GuestCristina Rexach is the Founder of Think Lean. She helps businesses remove operational chaos and replace it with systems that actually run.Her philosophy is simple: clarity scales faster than effort. Most businesses don't need more tactics, more tools, or more hustle. They need fewer moving parts, tighter workflows, and infrastructure that compounds instead of collapses.Connect with CristinaLinkedIn: https://www.linkedin.com/in/cristinarexach To learn more, visit:https://humanerrorsolutions.com/ Listen to more episodes on Mission Matters:https://missionmatters.com/author/ginette-collazo/

Stay informed on current events, visit www.NaturalNews.com  - Food Scarcity and Health Outcomes (0:02) - Historical Context and Food Delivery Trends (2:49) - Essential Nutrients and Stockpiling (5:28) - Medicinal Herbs and Extraction Techniques (8:05) - Preparing for Food Shortages (12:22) - Storable Foods and Energy Independence (15:03) - The Rise of Superintelligence and Depopulation Agenda (16:09) - Trump's Compensation Fund for Government Weaponization Victims (25:57) - Challenges and Future Outlook (34:56) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

What happens when the law meets a general-purpose cultural machine? In this episode, hosts Matteo Iuorio and Sofia Debernardi sit down with intellectual property expert Professor Giancarlo Frosio to unpack the massive legal battleground surrounding generative AI. We start with the immediate legal technicalities—separating the liability of tech companies training models from the liability of users prompting them—before sliding into the gripping, high-stakes philosophical landscape of what happens to human labor, law, and purpose as we race toward Artificial General Intelligence (AGI) and superintelligence. Key Takeaways The Two Legal Battlegrounds:Copyright issues with AI are split into two distinct phases: theTraining Stage(ingesting data to extract patterns) and theOutput Stage(whether an AI-generated result is "substantially similar" to a protected work).Strict Liability & The Neutral Tool Dilemma:Copyright is a strict liability offense. Professor Frosio shares his perspective that AI labs are placing "neutral, general-purpose tools" on the market. Therefore, legal liability for an infringing output should ideally sit with the user prompting it—provided the developer implemented standard safeguards.The Geopolitical AI Arms Race:Stricter text and data-mining copyright regulations in regions like Europe can function as a bottleneck for local tech development, inadvertently pushing the dominance of the AI "arms race" exclusively toward the US and China.The Looming Threat to Purpose:As the operational capabilities of AI shift from narrow tasks to holistic human replication (AGI) and beyond (superintelligence), society faces a massive conundrum: if artificial entities can outperform human intellectual labor completely, what is left for humanity's sense of purpose? Terminology Glossary LLM (Large Language Model): Note: Mentioned contextually as "LMS" during the interview recording. These are AI programs trained on vast amounts of text data to understand, summarize, generate, and predict new content. Substantial Similarity: A fundamental legal doctrine used by courts to determine if an unauthorized reproduction has taken too much protectable expression from an original copyrighted work. AGI vs. Superintelligence: Narrow AI handles specific single tasks. Artificial General Intelligence (AGI) can holistically apply knowledge to any task like a human. Superintelligence refers to a theoretical future entity whose collective intellect far surpasses the capacity of the human brain. References & Links to Explore Learn more about Professor Frosio's work and research at theGlobal Intellectual Property and Technology Centre (GIP Tech).Check out the landmark pending litigation referenced in the episode:Getty Images v. Stability AIin the UK.Learn about the European Union's framework discussed by reading the official documentation on theEU Artificial Intelligence Act (AI Act).To explore the philosophical warnings mentioned by the "Godfather of AI" Geoffrey Hinton on AGI and systemic alignment risks, check out hisNobel Prize lecturesand recent AI safety advocacy.Read up on the historic sci-fi themes referenced at the end of the episode via Isaac Asimov's classicFoundation Series.

Demis Hassabis is an artificial intelligence researcher, scientist, and entrepreneur.  In 2010, he co-founded DeepMind, an AI research lab which is now part of Google. In 2024, Hassabis won a Nobel Prize for using AI to predict the 3D structure of proteins, critical for disease understanding and drug discovery.  He was also awarded a knighthood that year by King Charles III.On April 20, 2026, Sir Demis Hassabis came to the Sydney Goldstein Theater in San Francisco to talk with author Sebastian Mallaby, who recently published a book about Hassabis's work, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.  The two were interviewed on stage by journalist Emily Chang.

Dans cet épisode de Connected Mate, PPC propose un format où il confronte le texte publié par OpenAI et signé Sam Altman, Industrial Policy for the Intelligence Age, avec la prise de recul et le mode de réflexion de deux intelligences artificielles.PPC explore avec elles les promesses et les zones d'ombre d'un texte qui annonce l'ère de la super intelligence : abondance économique, redistribution, revenu citoyen, semaine de quatre jours, mais aussi effondrement fiscal, surveillance généralisée, capture réglementaire, fuite des modèles et crise du sens.Si l'IA devient meilleure que nous pour produire, décider, protéger et même prendre soin, quelle place reste-t-il aux humains ?Pour suivre les actualités de ce podcast, abonnez-vous gratuitement à la newsletter écrite avec amour et garantie sans spam https://bonjourppc.substack.com Et pour découvrir l'ouvrage de PPC préfacé par Serge Papin, rdv ici Réinventez votre entreprise à l'ère de l'IAHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Luke and Griffin discuss the 2025 sci-fi movie "Good Luck, Have Fun, Don't Die" feat. guest Keegan Cenzano.

One of the most common arguments you hear from company executives racing to develop super-intelligent AI is that it will cure cancer. It's an incredibly powerful and seductive promise.  If superintelligent AI really can cure cancer, then anyone who stands in the way of it, anyone who wants to slow it down — even because of its serious risks — is essentially letting people die. In fact, the biggest risk would be going too slowly. But what if a superintelligent AI isn't actually capable of solving cancer in the way it's been described? What if we're being sold a false promise to justify a dangerous race? That's exactly what our guest this week argues is happening. Dr. Emilia Javorsky is a physician, public health researcher, and director of the Futures Program at the Future of Life Institute. She's worked across scientific research, clinical trials, tech startups, and AI policy.   Emilia recently wrote a paper titled “How AI Can and Can't Cure Cancer,” in which she argues that the promise of superintelligence curing cancer falls apart under scrutiny.  Emilia lost a parent to cancer, so her criticism of this promise comes from a place of real concern, not cynicism. It also comes from her belief that AI can be really revolutionary for medicine, if we build it the right way. Your Undivided Attention is produced by the Center for Humane Technology. Follow us on X: @HumaneTech_ and subscribe to our Substack.RECOMMENDED MEDIA How AI Can and Can't Cure Cancer by Emilia JavorskyThe Emperor of All Maladies by Siddhartha Mukherjee RECOMMENDED YUA EPISODES Decoding Our DNA: How AI Supercharges Medical Breakthroughs and Biological Threats with Kevin Esvelt Forever Chemicals, Forever Consequences: What PFAS Teaches Us About AI Big Food, Big Tech and Big AI with Michael MossCLARIFICATIONS: Emilia's claim that “the doubling rate of medical knowledge has gone from 50 years in the 1950s down to 73 days” comes from an oft-cited 2011 paper from the NIH. However, this paper does not include any methodology for arriving at this claim. Emilia stated that we have yet to cure any complex, chronic disease in humans. However, we have been able to cure Hepatitis C, which is considered a complex infectious disease, and we have managed to effectively cure some types of Leukemia Correction: Tristan incorrectly paraphrased a quote from Charlie Munger about incentives. The actual quote is “The basic rule of incentives is you get what you were owed for. So if you have a dumb incentive system, you get dumb outcomes."     Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Get all sides of every story and be better informed at https://ground.news/AlexOC - subscribe for 40% off unlimited access.For early, ad-free access to videos, and to support the channel, subscribe to my Substack.-Nate Soares is an American artificial intelligence author and researcher known for his work on existential risk from AI. In 2014, Soares co-authored a paper that introduced the term AI alignment, the challenge of making increasingly capable AI's behave as intended. Nate is the president of the Machine Intelligence Research Institute, a research nonprofit based in Berkeley, California.Get the book, If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All. - TIMESTAMPS00:00 - Is This an Exaggeration?04:31 - What Is Unique About the Threat of AI?11:28 - What is Superintelligence?21:25 - From Chess Computers to Murderous Machines27:52 - What Really Drives AI Systems?44:29 - Evidence AI Is Already Turning Against Us56:03 - How We Are Helping AI Take Over01:01:21 - Why Would AI Seek Power or Control?01:07:42 - Some Worst-Case AI Scenarios01:18:38 - What Do We Do About This Now?01:32:53 - How Has AI Changed in the Last Six Months? - CONNECTMy Website: https://www.alexoconnor.comSOCIAL LINKS:Twitter: http://www.twitter.com/cosmicskepticFacebook: http://www.facebook.com/cosmicskepticInstagram: http://www.instagram.com/cosmicskepticTikTok: @CosmicSkeptic - CONTACTBusiness email: contact@alexoconnor.comBrand enquiries: David@modernstoa.co

Marcus Aurelius Anderson sits down with technology entrepreneur and AI strategist Stephen Scott for a candid, practical conversation about artificial intelligence and how everyday people can use it to improve their lives. Rather than approaching AI as a threat, Stephen reframes it as a personal force multiplier — one that can help anyone navigate job searches, manage finances, optimize health, and make better decisions. The conversation covers the emotional anxiety surrounding AI, the coming digital divide, deepfake security threats, and why the best time to start engaging with AI is right now. EPISODE HIGHLIGHTS: Use AI to Future-Proof Your Career — 7:22AI doesn't take jobs — people who know how to use AI replace those who don't. Stephen breaks down a practical step-by-step method for using AI to build a custom resume and cover letter optimized to beat Applicant Tracking Systems (ATS) and land more interviews. Build Personal AI "Folders" for Every Area of Life — 14:09Stephen shares how he uploads personal health records, financial statements, and life goals into AI platforms to get highly personalized guidance — essentially putting the world's most knowledgeable advisor on call 24/7 for your health, finances, and relationships. Don't Seed Your Intellect to AI — Challenge It — 17:36AI wants to please you, which means its first answer isn't always its best. Stephen explains his "daisy chain" method — bouncing responses between ChatGPT, Claude, and Gemini — to converge on the highest level of truth and avoid AI hallucinations. AI Security: Deepfakes, Scams, and Protecting Your Family — 47:33From phishing emails that look indistinguishable from your bank to deepfake video calls impersonating your loved ones, Stephen outlines the growing threats and practical defenses — including using a family "cold word" to verify real communications. Stephen Scott is a technology entrepreneur, author, and builder of practical AI tools with more than two decades of experience in digital platforms and business development. He has worked extensively helping companies strategize AI implementation at the enterprise level, and now dedicates much of his work to helping everyday people humanize AI — using it to simplify work, strengthen relationships, and make smarter decisions in daily life. He is also a committed advocate for closing the global digital divide, connecting underserved communities worldwide to technology and education. Stephen works closely with author Steven Pressfield and can be reached directly through his website at stephenscott.us. Learn more about the gift of Adversity and my mission to help my fellow humans create a better world by heading to www.marcusaureliusanderson.com. There you can take action by joining my ANV inner circle to get exclusive content and information.See omnystudio.com/listener for privacy information.

Global movements and tech experts are urgently pushing for stricter AI governance as autonomous agents begin to replace high-level human roles and operate in complex, unsupervised social networks. - Agarang isinusulong ng mga eksperto ang mas mahigpit na regulasyon sa AI habang ang mga autonomous agent ay nagsisimula nang pumalit sa mga propesyonal na trabaho at kumilos sa sarili nilang mga social network.

John welcomes author Sebastian Mallaby to discuss his new bestselling book, “The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.” Mallaby explains why Hassabis, the leader of Google's efforts in artificial intelligence, remains an obscure and under-covered figure compared with Sam Altman, Dario Amodei, and Elon Musk, the poster boys of the A.I. revolution; why, despite his relative public obscurity, Hassabis may prove more important in shaping our future than any of them; and whether he is, at bottom, the kind of person we should comfortable entrusting with such power. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

This post was crossposted from Dylan Matthew's blog by the EA Forum team. The author may not see or reply to comments. Subtitle: Try to keep an open mind as the world gets increasingly wild.The crowd at EAG 2015 (Center for Effective Altruism) In 2015, I went to my first EA (Effective Altruism) Global. It was then on-the-record for journalists, which is a rule that got changed for all subsequent events due to my actions. My exposure to EA at that time was mostly through people who took high-paying careers in order to “earn to give” to global health charities, which I had written about in the Washington Post. I also knew the movement cared a lot about animal welfare. I was aware that there were people worried about catastrophic risks, and specifically about AI; this had come up in a profile I wrote of Open Philanthropy (my now-employer, albeit under a new name these days). But I still broadly thought of EA as the bednets and cage-free commitments people. I was really taken aback by how dominant discussions of AI risk were at the event. The marquee panel featured Superintelligence author Nick Bostrom, future If Anyone Builds It [...] ---Outline:(03:31) What should I learn from bungling this?(06:43) Listen to the people saying stuff will get weird --- First published: April 16th, 2026 Source: https://forum.effectivealtruism.org/posts/9FPxMET3W4wewwSyf/the-ai-people-have-been-right-a-lot --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

In this conversation with Alexander Unzicker, physicist and author of Bankrupting Physics, we dig into why physical constants like the fine structure constant 137 have the values they do, whether mathematics is being confused for physical explanation, and whether artificial intelligence and large language models can make the conceptual leaps that have historically driven breakthroughs in theoretical physics and cosmology. Unzicker argues these constants represent genuine unsolved mysteries, while we push back: are these numbers arbitrary, or do they fall out of the geometry of nature the way pi falls out of a circle? We also tackle AI consciousness, embodied cognition, the limits of machine learning, and whether AGI would simply inherit a century of elegant and deeply confused mathematics dressed up as physical truth.Alexander's book, A Physicists Guide to the Age of Superintelligence: https://www.amazon.com/dp/B0FLNP13GNPATREON https://www.patreon.com/c/demystifysciPARADOX LOST PRE-SALE: https://buy.stripe.com/7sY7sKdoN5d29eUdYddEs0bHOMEBREW MUSIC - Check out our new album!Hard Copies (Vinyl): FREE SHIPPING https://demystifysci-shop.fourthwall.com/products/vinyl-lp-secretary-of-nature-everything-is-so-good-hereStreaming:https://secretaryofnature.bandcamp.com/album/everything-is-so-good-herePARADIGM DRIFThttps://demystifysci.com/paradigm-drift-show00:00 Go! 00:06:16 AI lacks embodied understanding of reality00:08:30 Why superintelligence would care about physics00:11:12 Physical constants: the unsolved problem00:17:10 What would a real explanation look like?00:20:06 Maxwell as a model for scientific progress00:23:17 Constants only make sense materially00:30:01 Physics demands models, not just equations00:36:03 Civilizational survival needs deeper physics00:39:58 Toddlers outperform AI in spatial tasks00:44:56 Neuroscience over philosophy for understanding intelligence00:48:13 Human creativity versus machine novelty00:55:19 LLMs assemble knowledge, not new ideas01:03:05 AI doesn't learn from experience01:06:17 AI replicates style, can't shift paradigms01:11:37 Human genius: defining unseen problems01:15:04 AI trapped in its training worldview01:19:24 Physics requires initiative, not just data01:23:18 Unverifiable theories become epistemic loops01:27:33 Embodied experience drives human innovation01:35:34 Animal cognition challenges human uniqueness01:39:09 Will plus intelligence equals life01:45:45 Human survival extends into culture and ideas01:53:03 Earth as an emerging superorganism02:01:15 Institutional drift and ethical relativity02:04:44 Hope for human and AI coexistence #Physics #ArtificialIntelligence #Consciousness #ChatGPT #Science #Philosophy #QuantumPhysics #AGI #FutureOfAI #MachineLearning, #physicspodcast, #philosophypodcast, #quantum , #quantumphysics, #quantummechanics MERCH: Rock some DemystifySci gear : https://demystifysci-shop.fourthwall.com/AMAZON: Do your shopping through this link: https://amzn.to/3YyoT98DONATE: https://bit.ly/3wkPqaDSUBSTACK: https://substack.com/@UCqV4_7i9h1_V7hY48eZZSLw@demystifysci RSS: https://anchor.fm/s/2be66934/podcast/rssMAILING LIST: https://bit.ly/3v3kz2S SOCIAL: - Discord: https://discord.gg/MJzKT8CQub- Facebook: https://www.facebook.com/groups/DemystifySci- Instagram: https://www.instagram.com/DemystifySci/- Twitter: https://twitter.com/DemystifySciMUSIC: -Shilo Delay: https://g.co/kgs/oty671

Ben Lorica speaks with Tudor Achim, cofounder of Harmonic, about the fast progress of AI for mathematical reasoning and what it would take to build “mathematical superintelligence.” Subscribe to the Gradient Flow Newsletter

April 15, 2026 – Why are the most powerful models being kept out of the public—and only given to approved security researchers? Cris Sheridan interviews Dr. Alan D. Thompson on the dawn of superintelligence, exploring world-shifting risks and breakthroughs...

In this episode, Katherine Forrest and Scott Caravello examine OpenAI's latest paper suggesting proactive policy measures to help society navigate the economic and social changes that advanced AI may bring. They unpack the paper's key recommendations and consider broader industry perspectives on managing the transition ahead. For the sources referenced in this episode, please see the links below: OpenAI: Industrial Policy for the Intelligence Age: Ideas to Keep People First Dario Amodei: The Adolescence of Technology ## Learn More About Paul, Weiss's Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

This special AI in the AM episode features Sergiy Nesterenko of Quilter on using reinforcement learning for circuit board design, Andy Hall of Stanford on AI behavior in politics and new governance models, and Lukas Peterson and Axel Backlund of Andon Labs on their AI-run retail store in San Francisco. Nathan and Prakash also reflect on the pace of AI progress, the public reaction to existential risk, and why constructive civic action matters as AI systems grow more powerful and autonomous. Sponsors: Roboflow: Roboflow's free 2026 Vision AI Trends report analyzes 200,000+ real-world projects to reveal how top companies are deploying Vision AI and turning proprietary data into an edge. Download it now at https://roboflow.com/trends VCX: VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com Tasklet: Build your own Cognitive Revolution monitoring agent in one click.Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (07:57) Live stream kickoff (09:52) Sam Altman attacks (16:37) Quilter from SpaceX (19:02) Why autorouters fail (Part 1) (20:52) Sponsors: Roboflow | VCX (23:09) Why autorouters fail (Part 2) (28:14) Compute and odd layouts (34:19) Simulations and safety margins (Part 1) (39:22) Sponsor: Tasklet (41:01) Simulations and safety margins (Part 2) (41:01) Superintelligence meets hardware (48:18) AI constitutions debate (55:55) Deepfakes and persuasion (01:02:24) Virtue and institutions (01:11:05) Agent governance problems (01:16:56) Andon store debut (01:21:25) Luna's store choices (01:28:21) Supply chains and spread (01:36:23) AI boss behavior (01:43:47) How retail scales (01:53:54) Processing the future (01:59:50) Markets need context (02:26:42) Episode Outro (02:30:37) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Anj Midha is the founder of AMP, and a founding investor in Anthropic. Most recently, Anj was General Partner at Andreessen Horowitz, leading frontier AI investments. He serves on the boards of Mistral, Black Forest Labs, Sesame, LMArena, OpenRouter, Luma AI and Periodic Labs and is an early angel in ElevenLabs among others. Prior to that, Anj was the cofounder/CEO of Ubiquity6 (acquired by Discord) and a partner at Kleiner Perkins. AGENDA:   04:00 Why the "Scaling Laws are Dead" rumor is dangerously wrong 05:30 The 4 bottlenecks stopping us from reaching Super Intelligence 11:30 Where will the actual value accrue in an AI-dominated world? 12:00 Why Europe is building a "Sovereign Stack" to escape US dominance 15:00 Inside the brutal early days of Anthropic and the 21 VCs who said "No" 19:30 Why the most successful AI startups are ditching the "Profit-First" motive 34:30 The 1885 Industrial Revolution: Why we have a "GPU Wastage" bubble 38:00 Is the CCP actually winning the full-stack AI systems race? 43:30 Monopoly Mafias: Will model providers eventually kill the App Layer?  

“The media has its own agenda, completely separate from anything going on in the real world, creating the story themselves.” — Keith TeareLast night, somebody hurled a Molotov cocktail at Sam Altman's Pacific Heights mansion. I live a couple of hills over, but heard nothing. Meanwhile, the New Yorker hurled its own explosive cocktail at Sam, publishing a 15,000-word hit piece rhetorically entitled “Sam Altman May Control Our Future. Can He Be Trusted?” No, of course, he can't be trusted. Not according to the New Yorker. Especially with something as precious as, gasp, our future.Not everyone, however, is sold on this media cult of personality. In his That Was The Week editorial, Keith Teare tells the media to take their hands off Sam. I don't disagree. Although I'm a bit skeptical of Keith's attempt to demonize what he defines as a “devious” Dario Amodei. Whether it's Altman, Amodei or Google's AI honcho Demis Hassabis, all these guys are prisoners of their company's structures and cultures. They are also victims of today's anti-tech hysteria. It's one thing to blow up Silicon Valley's cartoonish cult of personality, it's quite another to hurl bombs at these people's homes. Enough with all the violence – verbal or otherwise. It never ends well. Five Takeaways•       A Molotov Cocktail at Slippery Sam's House: On Friday night, someone hurled a Molotov cocktail at Sam Altman's Pacific Heights mansion, according to The New York Times. Andrew lives nearby and didn't hear it. The week's zeitgeist had already turned: a 15,000-word New Yorker hit piece by Ronan Farrow and Andrew Marantz, wall-to-wall coverage, Sam moving into Musk-like media-frenzy territory. Keith's editorial: Hands Off Sam Altman. The personality-driven circus has caught fire. Quite literally.•       Anthropic's Mythic Model Finds Decade-Old Vulnerabilities: The actual AI news this week, drowned out by the personality circus. Anthropic's new “Mythic” model autonomously discovered security holes in software that had eluded human experts for years. Dario refused to release it openly until the patches were complete. Treasury Secretary Bessent commented on the implications for banks and government. The signal: AI is becoming systematically better than the best humans at specialist domains. Generalists can probably relax.•       Slippery Sam vs Devious Dario vs Honest Hassabis: Keith's contrarian take: Altman is honest because he's openly dishonest. Amodei is the devious one — a politically liberal narrative wrapped around a commercial juggernaut. Andrew's third way is yesterday's Mallaby interview: Demis Hassabis, the Spinozan one-faced scientist who would rather be at Princeton. But even Demis must have authorised the firing of Mustafa Suleiman. Everyone has a game plan, said Mike Tyson, until they get punched in the face.•       Post of the Week: Keith Replaces WordPress in Ten Minutes: Keith's tweet: he's run two curation sites — seriouslyphotography.com and seriouslybc.com — on WordPress for over a decade. Last Friday afternoon, he asked Anthropic's tools to rewrite them. Ten minutes later, both sites were rebuilt from scratch, fully responsive, WordPress gone. Cost in the old world: tens of thousands of dollars and several months. The Matt Mullenweg vs Matthew Prince debate is settled by the actual technology while the principals are still arguing.•       The End of Ownership? Keith Goes Marxist: Pure capitalism, Keith argues, will produce so much abundance that scarcity ends and self-interested competition with it. “In the future there will be no ownership, or everything will be commonly owned.” Andrew calls it Marx with Tesla characteristics. Eric Ries's forthcoming Incorruptible argues that Patagonia and Mondragon point a different way — structural ethics rather than abundance utopianism. Two visions of the post-AI economy. Both probably wrong. We'll find out. About the GuestSebastian Mallaby is the Paul A. Volcker senior fellow for international economics at the Council on Foreign Relations. A former Washington Post columnist and Economist contributing editor, he is the author of More Money Than God, The Man Who Knew (winner of the FT and McKinsey Business Book of the Year), The Power Law, and now The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.References:•       The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence by Sebastian Mallaby.•       Episode 2862: Truth Is Dead — Steven Rosenbaum on AI as a spectacularly good liar. Mallaby's quiet counter-argument.•       Episode 2860: We Shape Our AI, Thereafter It Shapes Us — Keith Teare on agency in our agentic age. Hassabis thinks he can still steer.About Keen On AmericaNobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,800 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting.WebsiteSubstackYouTubeApple PodcastsSpotify Chapters:(00:31) - A Molotov cocktail at Sam Altman's Pacific Heights house (02:41) - The New Yorker hit piece: Ronan Farrow, Andrew Marantz, 15,000 words (05:36) - Slippery Sam and the zeitgeist (07:39) - Brian Merchant: it's open season for refusing AI (08:09) - Anthropic's Mythic model finds decade-old vulnerabilities (10:46) - Why even release it? Dario's narcissism (12:12) - Slippery Sam vs Devious Dario (14:11) - Hassabis as the third way (18:29) - The Mustafa Suleiman question (19:17) - Mike Tyson, Kant, Spinoza, and Hobbes (22:09) - Brian Merchant and the new Luddism (23:34) - Anthropic makes a new generation redundant every week (23:34) - Post of the week: Keith rebuilds his sites in 10 minutes (26:39) - Eric Ries on incorruptible companies (30:12) - Patagonia, Berkeley Bowl, Mondragon (35:43) - The end of ownership? Keith goes Marxist

Nick Bostrom saw the AI revolution coming before it was taken seriously. When he warned about superintelligence in 2014, AI risk was dismissed by mainstream academia and the public. Now, as AI reshapes the future of work and human purpose, he has moved from warning about its risks to exploring a future where AI solves everything, and humans are left searching for new meaning. In this episode, Nick shares how artificial intelligence could end human labor and what that means for purpose, entrepreneurship, and humanity's future. In this episode, Hala and Nick will discuss: (00:00) Introduction (02:35) Are We Living in a Simulation? (11:48) Moral Implications of a Simulated Reality (22:28) The Fermi Paradox and the Doomsday Argument (30:29) Is AI Bigger Than the Industrial Revolution? (38:26) Three Types of AI and How They Work (41:43) The Risks of Advanced AI Systems (49:15) Finding Purpose in a Solved World (57:26) Beating Boredom and Artificial Purpose (01:08:07) Entrepreneurship's Place in an AI-Driven Future Nick Bostrom is a philosopher and leading expert on artificial intelligence and existential risk. He is the founding director of the now-defunct Future of Humanity Institute at Oxford University and the bestselling author of Superintelligence and Deep Utopia. His work has shaped global conversations on AI safety, long-term human survival, and the future of advanced technology. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/profiting Shopify - Start your $1/month trial at Shopify.com/profiting. Quo - Run your business communications the smart way. Try Quo for free, plus get 20% off your first 6 months when you go to quo.com/profiting Experian - Manage and cancel your unwanted subscriptions and reduce your bills. Get started now with the Experian App and let your Big Financial Friend do the work for you. See experian.com for details. Intuit - Start paying bills the smart way, not the hard way. Learn more at QuickBooks.com/billpay Huel - Grab nutritionally complete meals you can drink. Get 15% off with code PROFITING at huel.com/PROFITING AT&T Business - Power your small business with reliable connectivity from AT&T. Switch today at business.att.com.  Fabric - Protect your family with term life insurance from Fabric by Gerber Life. Apply today in just minutes at meetfabric.com/profiting  ZocDoc - Stop putting off those doctors' appointments. Find and instantly book a doctor you love today at Zocdoc.com/PROFITING  Blinkist - Turn the world's best nonfiction books into quick 15-minute reads or listens. Grab your free trial plus an exclusive 30% discount at blinkist.com/profiting  Resources Mentioned: Nick's Book, Superintelligence: bit.ly/_Superintelligence  Nick's Book, Deep Utopia: bit.ly/DeepUtopia  Nick's Website: nickbostrom.com  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Action, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast

“Doing science is like reading the mind of God.” — Demis Hassabis, quoted in The Infinity MachineThis week's New Yorker uncomplimentary profile of OpenAI's CEO is entitled “The Many Faces of Sam Altman.” But not all AI leaders are quite as many faced as slippery Sam. Take, for example, Demis Hassabis, the North London based co-founder and CEO of Google's DeepMind. In his new biography, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence, the British journalist Sebastian Mallaby argues that Hassabis is, in contrast, one faced. And that face is not only decent, but informed by the enlightened ethics of Baruch Spinoza and Immanuel Kant.Mallaby presents Hassabis as the anti-Altman. He's stayed at DeepMind for sixteen years, lived in the same London house, drives a decade-old car. Rather than power, Google's AI supremo seeks scientific enlightenment. Like Spinoza, his God is the master watchmaker of the universe. And so doing science, Hassabis explained to Mallaby in one of their many conversations in the backroom of a North London pub, is like reading the mind of God. Decent Demis. Honest Hassabis. Let's just hope this modest and thoughtful tech leviathan can bring Kantian ethics to Silicon Valley's sprint for artificial general intelligence. Five Takeaways•       Hassabis Is the Anti-Altman: Sam Altman has managed to annoy almost everyone he's worked with by saying one thing and doing the opposite. Hassabis has run DeepMind continuously for sixteen years, lives in the same house in Highgate, drives a decade-old car, and spends his discretionary money on Liverpool season tickets. He doesn't want power. He wants scientific enlightenment. Mallaby uses the word advisedly.•       Doing Science Is Like Reading the Mind of God: Hassabis is a Spinozan. The god he believes in is the god Einstein talked about — the fabric of reality understood through scientific inquiry. He reads Kant, he reads Spinoza, he reads widely enough to be a proper polymath. Mallaby sat with him in a Highgate pub for more than thirty hours. What he found was not a Silicon Valley sociopath but an enlightenment figure who thinks AI is the modern version of the telescope.•       The Szilard Pedestrian Crossing: Mallaby asked Hassabis what it felt like to set up DeepMind in 2010. Instead of the usual vague answer, Hassabis painted the scene: the attic office on Russell Square, the heat, the stairs, the greenery outside, the London Mathematical Society three doors down where Turing lectured, and the zebra crossing where the Hungarian physicist Leo Szilard conceived of the nuclear chain reaction in the 1930s. The perfect metaphor: DeepMind as the modern Manhattan Project.•       The Two Categories of Things That Go Wrong: There's the idiot-in-charge category — an evil or stupid person making bad decisions, and you could swap them out. Then there's the structural category: a good person trying their best, defeated by larger forces they cannot control. Hassabis is category two. He wants to make AI safe, but race dynamics between US and China labs make safety nearly impossible to deliver. The failure of governments to intervene is the real story. Not individuals.•       The Go Players Who Quit: When AlphaGo beat the best players in the world, some professional Go players retired — centuries of accumulated human understanding devalued overnight. Others kept playing, using the machine as a tutor to discover patterns they'd never seen. Two responses to superintelligence in one domain. One is mourning. The other is curiosity. Mallaby thinks the second response is the only one worth having. Hassabis agrees. About the GuestSebastian Mallaby is the Paul A. Volcker senior fellow for international economics at the Council on Foreign Relations. A former Washington Post columnist and Economist contributing editor, he is the author of More Money Than God, The Man Who Knew (winner of the FT and McKinsey Business Book of the Year), The Power Law, and now The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.References:•       The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence by Sebastian Mallaby.•       Episode 2862: Truth Is Dead — Steven Rosenbaum on AI as a spectacularly good liar. Mallaby's quiet counter-argument.•       Episode 2860: We Shape Our AI, Thereafter It Shapes Us — Keith Teare on agency in our agentic age. Hassabis thinks he can still steer.About Keen On AmericaNobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,800 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting.WebsiteSubstackYouTubeApple PodcastsSpotify Chapters:(00:31) - Introduction: the many faces of Sam Altman (02:00) - Altman's duplicity versus Hassabis's consistency (02:56) - The moral wrestling: is this the Manhattan Project? (04:45) - The ordinary genius in Highgate (06:29) - The Szilard pedestrian crossing and a storyteller off the charts (09:10) - Responding to The Guardian: why Hassabis isn't Altman (12:58) - The two categories of things that go wrong (14:48) - Mustafa Suleiman's remarkable backstory (17:01) - Did Demis fire Mustafa? (19:46) - Class, Eton, and the North London grammar school (22:27) - Spinoza, Kant, and the god of science (25:27) - Doing science is like reading the mind of God (29:57) - Why not Princeton? The money problem (34:12) - The secret DeepMind vs Google negotiation (43:11) - Is Hassabis the next CEO of Google? (48:05) - The Go players who quit

-OpenAI is putting the brakes on Stargate UK, according to Bloomberg. That's the company's AI infrastructure project with NVIDIA that's meant to help the UK build out its sovereign computing capabilities. -Following the icy reception to Llama 4, Meta is releasing the first in a new family of AI systems built by its recently formed Superintelligence team. The company is kicking off its new Muse era with Spark, a lightweight model geared toward consumer use. -Greece will ban children under the age 15 from using social media starting next year. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sebastian Mallaby is back as a repeat guest on Open Book, with a brilliant new book. He spent 30 hours inside the mind of the man building superintelligence, and what he found should wake all of us up. We're talking about Demis Hassabis, the chess prodigy-turned-AI god who founded DeepMind before Sam Altman even had the idea for OpenAI. This is one of the most important books I've read in years, and after this conversation, I promise you, you will never think about AI, China, or the future of your kids the same way again. Sebastian Mallaby is the author of several books, including the bestselling More Money Than God. A former Financial Times contributing editor and two-time Pulitzer Prize finalist, Mallaby is the Paul A. Volcker Senior Fellow for International Economics at the Council on Foreign Relations. This book must be read at this time: The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence. Get it here: https://amzn.to/48dShY4 Anthony Scaramucci is the founder and managing partner of SkyBridge, a global alternative investment firm, and founder and chairman of SALT, a global thought leadership forum and venture studio. Pre-order my next book, All the Wrong Moves: How Three Catastrophic Decisions Led to the Rise of Trump, out on the 17th of September in the UK and the 22nd of September in the US: ⁠https://linktr.ee/anthonyscaramucci⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Yascha Mounk and Sebastian Mallaby discuss why tech leaders both fear and accelerate dangerous AI development, and whether open-source models pose unacceptable risks. Sebastian Mallaby is the author of several books including The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence. A former Financial Times contributing editor and two-time Pulitzer Prize finalist, Mallaby is the Paul A. Volcker Senior Fellow for International Economics at the Council on Foreign Relations.  In this week's conversation, Yascha Mounk and Sebastian Mallaby discuss why AI developers simultaneously fear and advance potentially dangerous technology, whether open-source AI models pose unacceptable security risks, and how China and the United States differ in their approaches to AI safety. If you have not yet signed up for our podcast, please do so now by following ⁠⁠⁠this link on your phone⁠⁠⁠. Email: leonora.barclay@persuasion.community Podcast production by Jack Shields and Leonora Barclay. Connect with us! ⁠⁠⁠Spotify⁠⁠⁠ | ⁠⁠⁠Apple⁠⁠⁠ | ⁠⁠⁠Google⁠⁠⁠ X: ⁠⁠⁠@Yascha_Mounk⁠⁠⁠ & ⁠⁠⁠@JoinPersuasion⁠⁠⁠ YouTube: ⁠⁠⁠Yascha Mounk⁠⁠⁠, ⁠⁠⁠Persuasion⁠⁠⁠ LinkedIn: ⁠⁠⁠Persuasion Community⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Last week, two separate juries held social media companies liable for harming young users. We unpack what these landmark decisions mean — not only for the future of social platforms like Meta and YouTube, but also for A.I. chatbots. Then, Sebastian Mallaby, the author of “The Infinity Machine,” joins us to talk about the three years he spent with Demis Hassabis and those closest to Google DeepMind. And finally, we catch up on some of our favorite tech headlines from the week with a round of HatGPT.   Guest: Sebastian Mallaby, author of “The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence.”   Additional Reading: Juries Take the Lead in the Push for Child Online Safety An A.I. Agent Was Banned From Creating Wikipedia Articles, Then Wrote Angry Blogs About Being Banned I Met Olaf — the Frozen Robot who Might be the Future of Disney Parks Claude's Code: Anthropic Leaks Source Code for A.I. Software Engineering Tool What's With All the A.I. Videos of Cheating Fruit? This Company Is Secretly Turning Your Zoom Meetings into A.I. Podcasts North Korean Hackers Suspected in Axios Software Tool Breach   We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The creation of Artificial General Intelligence could be the greatest gamble mankind has ever undertaken. And one of its unlikely prime movers is a working class north Londoner and chess prodigy, the son of immigrant parents, who founded the groundbreaking company DeepMind to create machine superintelligence – a goal which if achieved could transform or destroy our world. Unlike the Altmans and the Musks, Demis Hassabis has the decency to fear what he is creating. The story of this 21st Century Oppenheimer is told in The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence. Author Sebastian Mallaby talks to Emma Kennedy about Hassabis's journey and where it could take us.   • Buy The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence through our affiliate bookshop and you'll help fund the podcast by earning us a small commission for every sale. Bookshop.org's fees help support independent bookshops too. www.patreon.com/bunkercast  Written and presented by Emma Kennedy. Produced by Sophie Clark. Audio production: Robin Leeburn. Music by Kenny Dickinson. Artwork by James Parrett. Managing Editor: Jacob Jarvis. Group Editor: Andrew Harrison. THE BUNKER is a Podmasters Production. www.podmasters.co.uk  Learn more about your ad choices. Visit podcastchoices.com/adchoices

The creation of Artificial General Intelligence could be the greatest gamble mankind has ever undertaken. And one of its unlikely prime movers is a working class north Londoner and chess prodigy, the son of immigrant parents, who founded the groundbreaking company DeepMind to create machine superintelligence – a goal which if achieved could transform or destroy our world. Unlike the Altmans and the Musks, Demis Hassabis has the decency to fear what he is creating.The story of this 21st Century Oppenheimer is told in The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence. Author Sebastian Mallaby talks to Emma Kennedy about Hassabis's journey and where it could take us.  • Buy The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence through our affiliate bookshop and you'll help fund the podcast by earning us a small commission for every sale. Bookshop.org's fees help support independent bookshops too.www.patreon.com/bunkercast Written and presented by Emma Kennedy. Produced by Sophie Clark. Audio production: Robin Leeburn. Music by Kenny Dickinson. Artwork by James Parrett. Managing Editor: Jacob Jarvis. Group Editor: Andrew Harrison. THE BUNKER is a Podmasters Production.www.podmasters.co.uk  Learn more about your ad choices. Visit podcastchoices.com/adchoices Hosted on Acast. See acast.com/privacy for more information.

What drives a man to turn down half a million pounds at 18, test Mark Zuckerberg's sincerity over dinner, and wonder aloud if he can win a second Nobel Prize? For Demis Hassabis, co-founder and CEO of Google DeepMind, the answer is a lifelong pursuit of artificial general intelligence — and an unshakeable belief that the technology he's creating will change everything about what it means to be human. Oz speaks with journalist and author Sebastian Mallaby about his new book, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence, tracing Demis's extraordinary journey from chess prodigy to the man at the center of the most consequential technological race of our time.See omnystudio.com/listener for privacy information.

This episode is about a once-in-a-generation mind working on what may be the most important problem in history. Based on the new book The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence by Sebastian Mallaby. Made possible by: Ramp: https://ramp.com Axon by AppLovin: https://axon.ai/founders Vanta: https://vanta.com/founders

Teaser ... Defining (and preventing) superintelligence ... Where the nuclear analogy holds (and where it breaks) ... Imagining an AI inspections regime ... The superintelligence precursors to watch for ... Nikita: "I find him weirdly persuasive on a hypnotist kind of level" ... Our dangerous lack of government oversight ... ControlAI's "bottom-up" approach to AI policy ... The mounting geopolitical challenges to AI governance ... Heading to Overtime ...

In Episode 472 of Hidden Forces, Demetri Kofinas speaks with Sebastian Mallaby about Demis Hassabis, the co-founder of DeepMind and the man widely regarded as the most consequential figure in the development of artificial general intelligence, and what his story reveals about the science, the competition, and the existential stakes of the AI transition now underway. The first hour traces Hassabis's early life as a chess prodigy in North London, his studies in computer science at Cambridge and neuroscience at University College London, and the founding of DeepMind in 2010 alongside Shane Legg and Mustafa Suleyman. Mallaby and Kofinas explore the philosophical and scientific foundations of Hassabis' approach — including the decisive shift from symbolic, rule-based AI development to the inductive, data-driven logic of deep learning — as well as the competitive dynamics that have shaped the industry: Google's acquisition of DeepMind in 2014, Hassabis's early skepticism of language models and the transformer architecture, and the moment ChatGPT's release shattered what hopes remained of a "singleton" scenario in which a single, safety-minded lab could develop AGI on behalf of all humanity. The second hour picks up with the launch of ChatGPT 3.5 in November 2022 and what it revealed about the state of the AI race — including Mallaby's assessment of Sam Altman and the character of the individuals now driving this technology forward. They examine whether personality and values matter when competitive and commercial pressures are this overwhelming, and revisit a conversation Mallaby had with Geoffrey Hinton in which the so-called "godfather of AI" offered his honest assessment of humanity's odds of surviving the AI transition. The episode closes with an exploration of why the safety and existential risk conversation has receded from public discourse — not because the concerns have been resolved, but because geopolitical and commercial imperatives have made it nearly impossible to slow down — and considers the range of perspectives on that risk, from Yann LeCun's dismissiveness of existential threats to the technical alignment work being pursued inside the major labs themselves. Subscribe to our premium content—including our premium feed, episode transcripts, and Intelligence Reports—by visiting HiddenForces.io/subscribe. If you'd like to join the conversation and become a member of the Hidden Forces Genius community—with benefits like Q&A calls with guests, exclusive research and analysis, in-person events, and dinners—you can also sign up on our subscriber page at HiddenForces.io/subscribe. If you enjoyed today's episode of Hidden Forces, please support the show by: Subscribing on Apple Podcasts, YouTube, Spotify, Stitcher, SoundCloud, CastBox, or via our RSS Feed Writing us a review on Apple Podcasts & Spotify Join our mailing list at https://hiddenforces.io/newsletter/ Producer & Host: Demetri Kofinas Editor & Engineer: Stylianos Nicolaou Subscribe and support the podcast at https://hiddenforces.io. Join the conversation on Facebook, Instagram, and Twitter at @hiddenforcespod Follow Demetri on Twitter at @Kofinas Episode Recorded on 03/23/2026

Vlad Tenev (Robinhood co-founder/CEO) and Tudor Achim (former helm.ai CTO) are the founders of Harmonic, an AI lab pioneering the path toward mathematical superintelligence. Together, they developed Aristotle, a model that eliminates hallucinations by reasoning in Lean code rather than natural language. By shifting from probabilistic guesses to formal logic, Aristotle produces 100% verified mathematical outputs. The model recently demonstrated its breakthrough capabilities by achieving gold-medal performance at the International Math Olympiad. In this episode of Summation, Vlad, Tudor, and Auren discuss:Why AI models struggled at math for so long How Aristotle helped 10x the total corpus of formally verified Erdos problems in just a few months Why formal verification will make all software dramatically saferHow the first Millennium Prize problem will be solved by 2027-2028You can find Auren Hoffman on X at @auren, Vlad Tenev on X at @vladtenev, and Tudor Achim on X at @tachim

Livestream the Abundance Summit: https://www.abundance360.com/livestream In this WTF episode, the hosts unpack AI's supersonic tsunami - from Amazon's $35B AGI bet on OpenAI, Anthropic ditching safety pauses amid race pressures, and hyper-efficient Chinese models shrinking to iPhones - to meat puppets at Burger King and Pulsia autonomously running 1,000+ companies. Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   Your body is incredibly good at hiding disease. Schedule a call with Fountain Life to add healthy decades to your life, and to learn more about their Memberships: www.fountainlife.com/peter  _ Connect with Peter: X Instagram Connect with Dave: X LinkedIn Connect with Salim: X Join Salim's Workshop to build your ExO  Connect with Alex Website LinkedIn X Email Substack  Spotify Threads Listen to MOONSHOTS: Apple YouTube – *Recorded on March 3rd, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Meta anticipates up to $135 billion worth of capital expenditures this year, nearly double the company's outlay in 2025. One driver of that expenditure growth is what Meta calls its "Superintelligence Labs." This kind of spending puts it right up there with other tech giants pouring money into their AI capabilities. And it's a shift from a company that used to be hyper-focused on virtual reality. Marketplace's Stephanie Hughes talked about this with Mike Isaac, a reporter for the New York Times, to learn more.

Meta anticipates up to $135 billion worth of capital expenditures this year, nearly double the company's outlay in 2025. One driver of that expenditure growth is what Meta calls its "Superintelligence Labs." This kind of spending puts it right up there with other tech giants pouring money into their AI capabilities. And it's a shift from a company that used to be hyper-focused on virtual reality. Marketplace's Stephanie Hughes talked about this with Mike Isaac, a reporter for the New York Times, to learn more.

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years.Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic.To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co/-----A week before OpenClaw exploded, I recorded a prescient conversation with Mustafa Suleyman, CEO of Microsoft AI and co-founder of DeepMind. We talked about what happens when AI starts to seem conscious – even if it isn't. Today, you get to hear our conversation.Mustafa has been sounding the alarm about what he calls “seemingly conscious AI” and the risk of collective AI psychosis for a long time. We discussed this idea of the “fourth class of being” – neither human, tool, nor nature – that AI is becoming and all it brings with it.Skip to the best bits:(03:38) Why consciousness means the ability to suffer(06:52) "Your empathy circuits are being hacked"(07:23) Consciousness as the basis of rights(10:47) A fourth class of being(13:41) Why market forces push toward seemingly conscious AI(20:56) What AI should never be allowed to say(25:06) The proliferation problem with open-source chatbots(29:09) Why we need well-paid civil servants(30:17) Where should we draw the line with AI?(37:48) The counterintuitive case for going faster(42:00) The vibe coding dopamine hit(47:09) Social intelligence as the next AI frontier(48:50) The case for humanist super intelligence-----Where to find Mustafa:- X (Twitter): https://x.com/mustafasuleyman- LinkedIn: https://www.linkedin.com/in/mustafa-suleyman/- Personal Website: https://mustafa-suleyman.ai/Where to find me:- Substack: https://www.exponentialview.co/- Website: https://www.azeemazhar.com/- LinkedIn: https://www.linkedin.com/in/azhar- Twitter/X: https://x.com/azeemProduced by supermix.io and EPIIPLUS1 Ltd. Production and research: Chantal Smith and Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Are we in a simulation? On this episode, Neil deGrasse Tyson and comic co-host Chuck Nice take a deep dive into simulation theory, consciousness, and free will with Oxford theorist Nick Bostrom. Is this The Matrix? Originally Aired December 21, 2021.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/cosmic-queries-living-in-a-simulation-with-nick-bostrom/ Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.