Podcast appearances and mentions of Demis Hassabis

In 1994, Bullfrog Productions released Theme Park, a construction and management simulation that would go on to sell fifteen million copies and define a genre. In this episode, David and Rob trace the game's development from Peter Molyneux's initial concept through the year and a half of work that brought it to life, led by a seventeen-year-old programmer named Demis Hassabis working a gap year before Cambridge. They explore how Hassabis built the game's visitor simulation from scratch, why multiplayer was cut two weeks before release, and what it meant that Molyneux's bet on bright colors for Japan paid off exactly as predicted. They also follow the thread forward from Theme Park's role in establishing a genre to the Nobel Prize in Chemistry that Hassabis won in 2024 for work that began with the same questions he was asking in Guildford in 1993. Join David and Rob as they look back at the little people, the late-night spreadsheets, and the teenager who built them on today's trip down Memory Card Lane.Read transcript

Hey folks, Alex here, let me catch you up! I've had a feeling that this week is going to be crazy, as it started on the weekend MiniMax M3, then with Jensen announcing new RTX Spark, NVIDIA's first PC chip packing 1 petaflop of local AI power into thin laptops.A few days later at Microsoft BUILD, Satya & Mustafa from MAI dropped 7 AI models, completely pre-trained from scratch, including a new MAI-thinking-1, MAI-code and MAI-image 2.5 that started topping the image gen charts. Then other image models started racing to the top of the Arena benchmarks, IdeoGram 4 hitting becoming SOTA open weights image-gen model, and Reve 2 beating Nano Banana just a few hours after that. And then today, NVIDIA dropped Nemotron 3 Ultra, their latest 550B open weights model, data and training and Arena published a new agentic eval leaderboard and we got a new Gemma 4 12B. I've had the great pleasure to host Chris (@llm_wizard) from Nvidia, Peter Gostev from Arena and Karan from Nous Research (who were featured prominently by Jensen!) all on the show. Def don't miss this one! Let's get into the details. ThursdAI - Join the flock of folks who know what is happening in AI before everyone else.Open Source LLMs

En este episodio de Mundo Futuro exploramos cómo la inteligencia artificial está entrando en nuevas capas de la vida cotidiana, la creatividad y la ciencia. Primero hablamos de Text to Song, la tendencia viral que convierte conversaciones reales en canciones usando IA. Chats de WhatsApp, peleas familiares, rupturas amorosas y dramas cotidianos se transforman en música, abriendo una nueva pregunta: ¿la creatividad del futuro será más técnica o más emocional? Después entramos a la historia de Demis Hassabis, fundador de DeepMind, protagonista del libro The Infinity Machine y una de las mentes más importantes de la inteligencia artificial moderna. De los videojuegos y Atari, al ajedrez, Go, AlphaGo, AlphaFold y el Premio Nobel, su historia muestra cómo la IA pasó de ganar juegos a resolver problemas científicos reales. También hablamos de Isomorphic Labs, el nuevo proyecto derivado de DeepMind que busca acelerar el desarrollo de medicamentos con inteligencia artificial. Una empresa que acaba de levantar miles de millones de dólares con una ambición enorme: usar IA para transformar la medicina y, eventualmente, curar enfermedades que hoy parecen imposibles. Un episodio sobre música viral, creatividad artificial, ciencia computacional y el tipo de inteligencia que podría cambiar el futuro de la humanidad. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this Hot Topics episode, Louise joins from London after an unexpected encounter with the UK healthcare system, while George reports back from the Digital Health Festival.The pair discuss New Zealand's $450 million digital health and cyber investment, a major new King's College London study showing one in seven people are already using AI instead of seeing a doctor, Demis Hassabis' bold prediction that we're entering the "foothills of the singularity", and two emerging AI approaches aimed at predicting serious disease before symptoms appear.Plus, a shout-out to Australian health tech company ThinkMD.ai for winning international recognition at the World Health Assembly.Topics covered:New Zealand's renewed investment in digital health and cyber security Why patients are increasingly turning to AI before healthcare professionals Public trust, regulation and the future of clinical AI Google's vision for AI-driven scientific discovery Predicting liver disease years earlier using historical pathology data Longevity science and AI-powered disease prediction What healthcare needs to do to keep pace with accelerating technological changeResources:Stryker Vocera's Initial Delays Diagnosis Quiz LinkDigital Health Workforce Census (opens 1 May, ANZ) LinkHospital Sant Pau, Barcelona LinkThe Use of AI in UK Healthcare Report, King's College London LinkWHO endorses precision medicine resolution LinkCongrats to ThinkMD.ai and Dr Jackie Rabec – Pulse+IT LinkVisit Pulse+IT.news to subscribe to breaking digital news, weekly newsletters and a rich treasure trove of archival material. People in the know, get their news from Pulse+IT – Your leading voice in digital health news.Follow us on LinkedIn Louise | George | Pulse+ITFollow us on BlueSky Louise | George | Pulse+ITSend us your questions pulsepod@pulseit.newsProduction by Octopod Productions | Ivan Juric

In this episode, the mates discuss Opus 4.8, The OpenAI Foundation, Demis Hassabis' views on AGI, AI extremism on the rise, and more. 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 Open ExO, a GP at Exponential Venture Capital/The Organizational Singularity Fund and a sought after global speaker and thought leader. 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: https://www.fountainlife.com/peter  _ Connect with Peter: X Instagram Substack Website Xprize Abundance360 Connect with Dave: Web X LinkedIn Instagram TikTok Connect with Salim: LinkedIn X Apply for Salim's Pilot Program  Subscribe to Salim's YouTube channel Exponential Venture Capital Connect with Alex Website LinkedIn X Email Substack  Spotify Threads Listen to MOONSHOTS: Apple YouTube – *Recorded on May 30th, 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

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

For decades, artificial intelligence was dismissed as science fiction. Then one lab changed everything.Inside a small London research company, scientists were teaching machines to play games, predict protein structures, and solve problems humans couldn't. What started as an obscure AI experiment soon became the center of a global race for superintelligence — with enormous consequences for medicine, warfare, scientific discovery, and the future of human intelligence itself.On this episode of Morning Wire, journalist Sebastian Mallaby explains how DeepMind helped launch the modern AI revolution and why its founder Demis Hassabis believes artificial intelligence could push beyond the limits of human understanding. Get the facts first with Morning Wire.- - -Ep. 2815- - -Wake up with new Morning Wire merch: https://bit.ly/4lIubt3- - -Today's Sponsors:Fast Growing Trees - Visit https://fastgrowingtrees.com to get 20% off your first purchase when using the code WIRE at checkout.Alliance Defending Freedom - Visit https://JoinADF.com/WIRE or text “WIRE” to 83848 to learn more.- - -Privacy Policy: https://www.dailywire.com/privacymorning wire,morning wire podcast,the morning wire podcast,Georgia Howe,John Bickley,daily wire podcast,podcast,news podcast Learn more about your ad choices. Visit podcastchoices.com/adchoices

Kara speaks with journalist and author Sebastian Mallaby about his new book, "The Infinity Machine," and its central figure: Demis Hassabis, the CEO and co-founder of Google's AI research lab, DeepMind, and a Nobel Prize winner in chemistry.   Sebastian argues that Hassabis is one of the original scientist-entrepreneurs of modern AI. And although he's extremely competitive and research-driven, Sebastian says Hassabis is also one of the few big names in AI development who genuinely cares about public safety. However, despite his best intentions, Hassabis doesn't have the power to change the race dynamic driving AI's rapid, and potentially unsafe, development. Kara and Sebastian break down DeepMind's relationship with Google, the push toward artificial general intelligence, and whether the government can regulate the technology before something goes wrong.  Questions? Comments? Email us at on@voxmedia.com or find us on YouTube, Instagram, TikTok, Threads, and Bluesky @onwithkaraswisher. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Gideon talks to Sebastian Mallaby, author of The Infinity Machine, a book about the career of Demis Hassabis and his AI company, Google DeepMind. They discuss the growing backlash against AI, why people are worried, and what governments can do to mitigate the risks of the coming technological revolution. Clip: WSJFree links to read more on this topic:OpenAI's foundation to spend $250mn on research into AI's impact on economyPope's appeal can't change the AI race's risky logicAI guardrails stripped from Meta and Google models in minutesHow AI threatens the giants of consulting AI companies are just companiesSubscribe to The Rachman Review wherever you get your podcasts - please listen, rate and subscribe.Presented by Gideon Rachman. Produced by Fiona Symon. Sound design is by Breen Turner.Follow Gideon on Bluesky or X @gideonrachman.bsky.social, @gideonrachmanRead a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

When technology speeds up, trust and truth are put under pressure. Host David Pembroke is joined by Sree Srinivasan, who reflects on what he learnt broadcasting daily from New York during the early days of Covid, and how those lessons apply to today's AI-driven information environment. They discuss what consistent, two-way communication can achieve in a crisis, why misinformation spreads so easily, and the risks of leaving AI decisions to a handful of powerful companies. Sree also shares practical guidance on building AI strategy and policy inside organisations, with an emphasis on transparency, staff input and regular review. KEY POINTS - Consistency builds trust: Turning up at the same time every day helped create a reliable source of information people could return to during uncertainty. - Two-way communication matters: Making space for audience questions and comments improved clarity, relevance and engagement. - AI policy needs shared ownership: Don't leave it to tech teams alone; involve the whole organisation and build guidance people will actually use. - Plan for constant change: AI tools and risks evolve quickly, so policies and governance need frequent review, not set-and-forget documents. - Use AI to lift quality, not just cut costs: The best use cases focus on improving work and capability, rather than simply reducing headcount. FIND OUT MORE ABOUT SREE:LinkedIn: https://www.linkedin.com/in/sreenivasanSubstack: https://sreenet.substack.com/Sree's Presentation: https://bit.ly/sreeaibrochureNYTReadalong: https://www.digimentors.group/nytreadalongLINKS MENTIONED IN THE PODCAST: StreamYard: Live-streaming tool Sree used to broadcast across multiple platforms https://streamyard.com/ Don't Look Up (Netflix): Film Sree referenced as an analogy for ignoring looming crises Southern Poverty Law Center (SPLC): Organisation Sree mentions running a workshop with Stanford Institute for Human-Centered Artificial Intelligence (HAI): Institute referenced (Fei-Fei Li) Columbia Journalism School: Institution Sree mentions teaching at Stony Brook University: Institution Sree mentions teaching at Sebastian Mallaby: Author referenced (book about Demis Hassabis mentioned) Hosted on Acast. See acast.com/privacy for more information.

C'est une entreprise qui construit l'infrastructure d'IA la plus enviée de la planète. Mais ses propres chercheurs doivent faire la queue pour y accéder. Oui, c'est le paradoxe fascinant auquel fait face Google aujourd'hui.L'écrasant succès commercial des TPULe nœud du problème, c'est l'écrasant succès commercial des puces maisons de Google, les TPU, auprès de géants comme Anthropic ou Meta. Cette demande est en train de priver ses équipes internes, notamment celles de Google DeepMind, des ressources indispensables à leurs propres recherches.Google a signé des accords pour positionner ses puces comme la seule alternative crédible aux cartes Nvidia. L'entreprise s'est notamment engagée à investir jusqu'à 40 milliards de dollars dans Anthropic. Et ce deal titanesque verrouille l'accès à un million de puces et cinq gigawatts de capacité de calcul sur cinq ans.En ajoutant Meta à l'équation, Google a vendu tellement de puissance de calcul que ses infrastructures ne suffisent plus à satisfaire tout le monde en même temps.Un goulet d'étranglement qui touche l'ensemble du secteur techMais attention, cette crise de croissance ne vient pas uniquement d'un arbitrage commercial. Elle révèle un goulet d'étranglement industriel bien plus profond qui touche l'ensemble du secteur tech. Le patron de DeepMind, Demis Hassabis, pointe deux limites majeures.D'un côté, une pénurie de composants clés en amont, notamment les mémoires à haute bande passante fournies par Samsung ou SK Hynix.De l'autre, un besoin vital de puces pour les chercheurs qui doivent tester de nouvelles idées à grande échelle. Malgré un plan d'investissement de près de 180 milliards de dollars cette année pour Alphabet, la puissance disponible est donc rationnée en interne.Et concrètement, cette pénurie commence à fissurer le leadership technologique de Google.Plusieurs chercheurs de renom ont déjà quitté le navire ces derniers mois pour des start-ups, lassés de voir leurs projets mis en attente.Diversifier sa chaîne d'approvisionnementPour desserrer l'étau, Google tente bien de diversifier sa chaîne d'approvisionnement en s'alliant avec des partenaires comme Broadcom ou MediaTek pour produire des puces d'inférence en aval.Mais la cadence de production ne suit pas encore la demande.Google se retrouve donc dans une position acrobatique, devenant le principal fournisseur d'infrastructure de ses propres concurrents, tout en essayant de garder assez de puissance pour entraîner ses futurs modèles Gemini.Le ZD Tech est sur toutes les plateformes de podcast ! Abonnez-vous !Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Google I/O dropped dozens of announcements this week, including Gemini 3.5 Flash, Gemini Omni, the "biggest upgrade to search in 25 years," and a closing statement from Demis Hassabis that we are at the foothills of the singularity.  Paul and Mike unpack it all: what the Karpathy-to-Anthropic move really means, why the Musk v. OpenAI verdict matters beyond the headlines, and what to make of profitable companies like Cloudflare and ClickUp publicly announcing AI-driven workforce restructuring. They also cover the Gallup data showing Americans oppose data centers more than nuclear power, and what that means for the political landscape ahead. Show Notes: Access the show notes and show links here AI-Pulse Survey: Fill out this week's AI-Pulse Survey here. Timestamps: 00:00:00 — Intro 00:02:49 — AI-Pulse Survey 00:04:41 — Google I/O 2026 00:21:12 — Musk v. OpenAI Verdict 00:27:43 — Karpathy Joins Anthropic 00:37:17 — Meta Layoffs 00:46:52 — Cloudflare CEO on Replacing Employees with AI 00:59:34 — American Opposition to Data Centers 01:09:34 — AI's Political Civil War 01:14:37 — Anthropic v. the Department of War (Again) 01:17:35 — AI Use Case Spotlight 01:23:24 — AI Product and Funding Updates This episode is brought to you by AI Academy by SmarterX. AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. Learn more here. Visit our website Receive our weekly newsletter Join our community: Slack Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

We speak to Sebastian Mallaby, author of ‘The Infinity Machine', a biography of Demis Hassabis, to discuss the Google DeepMind CEO’s views and politics around AI. With Michael Walker & James Meadway.

This week wasn't just another wave of AI announcements.It may have been the week the industry quietly crossed into a different phase entirely.In this episode, Isar connects the dots behind one of the biggest weeks in AI so far—from Anthropic's explosive growth, to Google I/O, OpenAI's legal win, NVIDIA's record earnings, and Andrej Karpathy joining Anthropic to work on recursive self-improvement.Individually, each story matters.Together, they point to something bigger: accelerating AI capability, accelerating infrastructure buildout, and growing signals from the people closest to the frontier that we may be entering a very different era.The quote that framed the episode came from Demis Hassabis: “We were standing at the foothills of the singularity. It will be a profound moment for humanity.”This episode breaks down what that actually means—and why the implications go far beyond new models and product launches.In this session, you'll discover: - Why Anthropic's projected $44B annualized revenue shocked the industry - How Anthropic became more profitable per user than OpenAI, Google, and Microsoft - Why Andrej Karpathy joining Anthropic may be one of the year's biggest AI stories - What recursive self-improvement (RSI) means—and why labs are racing toward it - How OpenAI's legal win against Elon Musk clears the runway for a potential IPO - Why Google's AI strategy suddenly looks both confusing and incredibly ambitious - What Google's shift from “search” to autonomous AI agents means for websites and SEO - Why AI solving an 80-year-old math problem matters more than most people realize - How NVIDIA, SpaceX, and compute infrastructure are becoming central to the AI race - Why electricity—not chips—may become the biggest bottleneck in AI expansion - What Demis Hassabis means when he says we're at the “foothills of the singularity”About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Before we get into this week's tech news, we have some corporate news to discuss, and some very exciting Vergecast news to share. (If you have questions about either one, hit us up: vergecast@theverge.com or 866-VERGE11!) Then, Nilay and David get back into the weeds on all things Google I/O, and in particular the ways AI is changing the Google Search experience. When Gemini can find things for you, make things for you, even buy things for you, are you even searching anymore? Finally, in the lightning round, it's time for the Hype Desk, Brendan Carr is a Dummy, SpaceX, the Trump Phone, and some very confusing social networks. Further reading: The future of Google is a search box that does everything  Google is building a ‘universal' AI shopping cart that tracks prices, offers suggestions, and finds discounts  Demis Hassabis said this might be the ‘foothills of the singularity.' What?  Google is trying to make deepfake detection more accessible  Google Search's AI evolution includes more ads  Google's AI future demands trust — and your personal data  Why does the Googlebook exist? The FCC voted to ‘streamline' tracking US broadband quality. In SpaceX's IPO, Elon Musk is the risk factor Spotify is verifying podcasts made by real people too. NBC just got the Trump phone. Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:00:00 Intro 00:02:00 Vox Media Sale 00:08:00 What Changes for The Verge 00:12:00 Vergecast Goes Daily 00:18:00 Feedback and Launch Details 00:23:00 Google I O Vibe Check 00:24:00 Agents Everywhere at Google 00:25:00 Search Becomes the Platform 00:26:00 Singularity Talk Whiplash 00:31:00 Monetizing AI and Google Zero 00:37:00 Shopping Web Takes Over 00:39:00 Agents Replace Browsing 00:43:00 Canvas Makes Apps 00:49:00 Google Book Devices Pitch 00:51:00 Agents Break App Economics 00:53:00 Traffic Deal Is Over 01:01:00 Hype Desk Forza Horizon 6 01:07:00 Subnautica 2 Surprise Hit 01:11:00 Brendan Carr is a Dummy 01:14:00 Broadband Map Complaints 01:21:00 Spotify AI Whiplash 01:25:00 Deepfake Detection Reality 01:30:00 SpaceX IPO Breakdown 01:34:00 Trump Phone In Wild 01:37:00 Wrap Up And Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices

What does it mean to be at the “foothills of the singularity”? That’s how DeepMind CEO Demis Hassabis ended his speech at Google I/O, prompting questions and scratched heads. Oz and Reed Albergotti (Semafor) attempt to dissect the meaning behind Hassabis’s confounding statement. They also discuss why so many commencement speakers are getting booed by college graduates after bringing up AI, and what it means for SpaceX, Anthropic, and OpenAI to all be heading towards an IPO. Then, Oz sits down with David Webster, Head of UX at Google Labs, for a deeper look at the products Google unveiled at their annual developer conference of the year. Additional Reading: DeepMind founder Demis Hassabis on what Google AI products say about ‘singularity’ | Semafor A Guide to Commencement | Semafor SpaceX, Anthropic and OpenAI’s Sprint to Go Public Defines the AI Boom’s Big Day - WSJ Former Google CEO Eric Schmidt was booed | Strait Times IG Subscriber Q&A: Live @ Google I/O - by Alex Heath - Sources Download SAILY in your app store and use our code techstuff at checkout to get an exclusive 15% off your first purchase! For further details go to https://saily.com/techstuffSee omnystudio.com/listener for privacy information.

Hey, Alex here, just got back from the sunny Shoreline Theater in Mountain view, so let me catch you up! This week was definitely Google heavy, we are covering Google's IO conference for the third year in a row, and today we have a special guest, Logan Kilpatrick, is joining to discuss the announced Gemini 3.5 Flash, Google Omni model, and the new Managed Agents offerings. Plus, this week, for the first time, OpenAI announced that AI solved a Math problem that humans couldn't solve for 80 years, Cursor is showing off Composer 2.5 which is partly trained on XAI data, Karpathy joins Anthropic and much more! Let's dive in! P.S - We've announced our upcoming hackathon, Weavehacks-4, June 6-7, I'll be there, we're expecting the seats to run out very soon so register nowThursdAI - We'd love to have your subscription, and if you're already subscribed, please hit that bell on YT to never miss an episode!Google I/O 2026 - Google goes agentic everywhereI went to cover Google I/O for the third year in a row, shoutout to the DeepMind team for inviting ThursdAI again, and folks, this one felt different.Last year, Google I/O was still very model-centric. This year, the story was not “here is another benchmark chart.” The story was: Google is putting Gemini into everything, and the agentic layer is becoming the product layer. Search, Gemini app, Android, Workspace, YouTube, AI Studio, Cloud, Antigravity, Flow, managed agents, smart glasses, all of it is now orbiting around one pretty clear strategy: Gemini is the intelligence, Antigravity is the agent harness, Google's products are the distribution. I saw many reactions that were milquetoast, as in, “we expected more” and those seem to dominate the X feed. But I think the distribution is the part that many folks on X are missing. Yes, we can argue about Gemini 3.5 Flash pricing. Yes, we can argue whether “Flash” still means what Flash used to mean. But when Google says the Gemini app itself has 900 million monthly active users, before even counting Search, Gmail, YouTube, Docs, Drive, Android, and the rest of the Google surface area, that's massive! OpenAI ChatGPT is supposedly stagnated at ~900M, I don't remember them crossing a 1B. Meanwhile Google is gaining traction. And they just updated all those folks with a new model!Wolfram said it really well on the show: his mother is not sitting there reading model cards. She just uses her Pixel, voice unlocks Gemini, asks for help, and suddenly the default intelligence available to her goes up. Antigravity 2.0 - the agent harness takes center stageThe biggest strategic signal from Google I/O for me was Antigravity.Remember, Antigravity was an IDE that came from the Windsurf acquisition saga. Part of the Windsurf team went to Google, part went to Cognition, and now Google is very clearly putting Antigravity in the middle of its agentic future. And I mean very clearly. Sundar mentioned it. Demis mentioned it. Varun Mohan the co-founder was on stage immediately after them! If you've ever watched a Google I/O keynote, you know how carefully every minute is allocated. Google has YouTube, Search, Gmail, Android, Cloud, Ads, Workspace, and a thousand VP-level products that could be on stage. The fact that Antigravity was that prominent should tell you everything.Logan Kilpatrick joined us and framed this in a way I loved: Gemini became the through-line across Google products, and now the Antigravity agent harness is becoming the through-line for agentic experiences.The new Antigravity 2.0 is a complete overhaul, showing only an agentic interface (which was previously just a separate window called Agent Manager) and separating the IDE layer completely into its own app and showing a Codex like agent-first interface, which got a few folks furious. This move may be weird to some folks, but if you follow along where everyone's going, this seems to be the way of the future, coding is no longer about lines of code, it's about managing fleets of agents. The new Gemini 3.5 absolutely shines inside the new Antigravity, the model was trained with this harness in mind, and is currently offered at an incredible speed (12x), so I'm definitely going to try it! Gemini 3.5 Flash - fast, determined, and maybe not the old “Flash”The most debated model release of the week was Gemini 3.5 Flash.Some folks saw the pricing and token usage and immediately went “this is not Flash.” I get that reaction. Flash used to mean cheap, fast, lightweight chat model. But Logan's framing on the show was important: Flash is now being built for the agentic era.In a chat era, you optimize for one user message and one model answer. In an agentic era, the real token volume is in tool loops, intermediate reasoning, retries, file reads, web searches, code execution, and self-correction. That's a different product profile.Wolfram already ran Gemini 3.5 Flash through WolfBench, and the results were fascinating. With the Hermes agent harness, Gemini 3.5 Flash hit an 87% ceiling on Terminal Bench 2.0, meaning across runs it could solve more of the benchmark than even GPT-5.5 extra high in that setup. The variance was higher with the simpler Terminus harness, but with a real agent harness, the model looked much stronger.That tracks with what Nisten saw in his “Martian railgun from Olympus Mons” test. Gemini 3.5 Flash went extremely detailed, almost too determined, kept correcting itself, overcorrecting itself, and built a whole game-like simulation. Logan laughed and basically said: yeah, this model is very determined, possibly an overcorrection from the “Gemini is lazy” feedback. It also tracks with the mismatch in other benchmarks, in some, Gemini 3.5 flash shines (like the above Apex-agents from AA) and in some, it doesn't match the other frontiers. In my tests, it was definitely over-eager to use a million and a half tool calls, read tons of files, to just help me review this draft inside antigravity. It's like a super eager robotic golden retriever! Gemini Omni - Nano Banana for video, but actually more than thatThe biggest update from last year IO was Veo 3! This year, the biggest wow factor was also visual, but it wasn't VEO 4, it was a new model that is multimodal, trained end-to-end they call Omni. Google is calling this their first “create anything from anything” model, and the first version, Gemini Omni Flash, starts with conversational video editing. The easy description is: Nano Banana for video. You upload or create a video, then talk to it. Change this character. Replace this person. Add an object. Make this scene claymation. Keep the scene, but change the environment.I played with it live and showed a few examples. I asked for a claymation explainer of protein folding, then gave it my face and asked it to replace the character with me. It did it. I uploaded pictures of Sonia, my cat, and it generated a talking cat video with the right kind of cat teeth, which is weirdly important because so many pet generations accidentally add human teeth and become nightmare fuel.The failure modes are still there. I asked it to make Sonia a Russian-speaking female cat, and it only partly switched languages and didn't really change the voice. Audio upload support is also not fully productized yet, even though the underlying model is multimodal. But the direction is very clear.This is not just “Veo with a chat model glued on.” I asked Jeff Dean - Google's chief scientist about this at I/O, and he explained that Omni is trained end-to-end. The intelligence and the generative media capabilities are part of the same model family, not a hacky two-model pipeline. He also said the intelligence is around a recent Flash-level model, which is a big deal when you think about video editing as reasoning over physics, identity, scene continuity, and intent.A lot of people compared Omni to Seedance 2.0, and I think that's the wrong comparison. Seedance is amazing at cinematic generation (lkaregly due to lack of copyright concerns from Bytedance). Omni's unlock is iterative editing on real footage and coherent multi-turn creative control. Other Google IO 2026 releases I found notableThis was a concentrated effort of a huge company to insert AI into every product surface they have so of course I can't cover ALL of it here, but the most notable things for me were: * Gemini Spark - a new agentic experience from Google, to help you with tasks across Gmail, Drive and more. It should support skills, and is a de-facto OpenClaw/Hermes alternative from Google for regular folks. It's not “yet” live so we'll talk more about it when I can test it out* Managed Agents in the Gemini API - We chatted with Logan about this one, Google is re-imagining how agents are going to get built, and are offering 1 api call to spin up an agent in a full Linux env, with security and sandboxing in mind. I'll expand more on this in a next episode, as I recorded a complete conversation about this with Ali Çevic, a PM for Google APIs* AI overhaul of Google Search - AI Overviews will not expand into AI mode, and the iconic Google search box itself will change, for the first time in 25 years to include AI mode! * SynthID expantion and OpenAI collab - Google showed off that OpenAI is joining in marking all AI generate imagery and video with an invisible SynthID watermark. I think this is amazing and more companies should adopt this standard* AI Glasses! We got Google Glasses demos - Together with Warby Parker and Gentle Monster, Google finally showed off their answer to Meta Raybans/Oakleys. They look like regular glasses too, but can hear and talk to you, with the full power of Gemini multimodality. Available in the fall sometime! * Demis Hassabis “we're on the cusp of the singularity” closer - CEO and Co-Founder of DeepMind, Demis Hassabis, closed the show with his remarks about the positive future and that we are nearing this Singularity point after which the future is very uncertain. I found it to be very inspiring and closed our show with that clip as well! * Personally, I got to chat to: Demis Hassabis, have breakfast with Jeff Dean, ask Josh Woodward a bunch of questions, and pester about 20 other great folks on a live stream, and had a lot of fun! Huge thanks to the DeepMind folks, Lucie, Dimple, JD and many others for the continued belief in ThursdAI and invite me to cover this great event. OpenAI LLMs solve an 80yo math problem - Erdős Unit Distance ConjectureOutside of Google I/O, the biggest story of the week was OpenAI announcing that a general-purpose reasoning model made progress on the Erdős planar unit distance problem.This problem goes back to 1946. For nearly 80 years, mathematicians believed the best constructions looked roughly like square grids. OpenAI's model found a new family of constructions with a polynomial improvement, using algebraic number theory ideas that humans apparently had not explored in this context. The above is a representation of it! Important caveat: this does not fully solve every version of the asymptotic Erdős conjecture. Some mathematicians are pushing back on the framing, and fair enough. Precision matters. But even with the caveat, this is still a huge moment.The reason it matters is not that I personally understand the math. I absolutely do not. The reason it matters is that this was not a special-purpose IMO model fine-tuned only for math competitions. This was a general-purpose reasoning model exploring a real open problem, generating candidates, verifying them, and finding a path humans hadn't taken. Extrapolate this to other sciences, Physics for example? This means an amazing future. LDJ pointed out that mathematicians have been skeptical because there have been previous false alarms. But this one landed differently. When Fields Medalist-level mathematicians verify the proof, the discourse changes from “lol stochastic parrot” to “wait, what does this mean for my PhD?”My answer is: yes, still study math. Please study math. The mathematicians who use these tools will do much more than people who don't understand the domain. Same with software engineering. Senior engineers with Codex, Claude Code, Hermes, Antigravity, Cursor and other agents are becoming dramatically more effective because they can steer, evaluate, and recover the work.This being published a day after Demis's “foothills of the singularity” is a great conjecture. Cursor Composer 2.5 - Opus 4.7 performance model from Cursor, at 10x better efficiencyCursor dropped Composer 2.5, and folks, this is a serious release.Composer 2.5 is built on Moonshot's Kimi K2.5 base, like Composer 2, but Cursor scaled the post-training dramatically. They used 25x more synthetic tasks and introduced targeted textual feedback during RL rollouts, where the model gets hints inserted at the point of failure instead of only getting a noisy final reward.The benchmark story is strong: around 69.3 on Terminal Bench 2.0, basically neck and neck with Opus 4.7 in Cursor's chart, and strong results on SWE-bench multilingual and CursorBench. The pricing is the part that makes this especially interesting: $0.50 per million input tokens and $2.50 per million output tokens, with a faster variant at $3 / $15. That is much cheaper than the frontier models it is trying to replace for day-to-day coding work.Cursor engineers are reportedly dogfooding Composer 2.5 heavily and rarely switching away. That matters more to me than any single benchmark. If the people building Cursor can use it as a daily driver, that is a very real signal.The wild part is what comes next. Cursor is partnering with SpaceXAI to train a much larger model from scratch using 10x more compute on Colossus 2. Cursor has the workflow data. xAI has enormous compute. If this works, Cursor stops being just the IDE company and becomes a coding-model lab.We've been saying for months that coding agents are the path toward general agents. Anthropic has Claude Code. OpenAI has Codex. Google has Antigravity. xAI has Grok Build. Cursor has Composer. I'm looking forward to seeing how well it performs on our own benchmarks! Anthropic, xAI, Karpathy, and the compute warsThe compute story this week was bonkers.The SpaceX IPO filing reportedly revealed that Anthropic is paying SpaceXAI $1.25B per month for AI compute at the Memphis Colossus facility. Per month. That's about $15B a year, through May 2029, for access to more than 220,000 NVIDIA GPUs including H100s, H200s and GB200s.This is apparently inference compute for Claude Pro, Max and API users, not training. And it explains a lot of the recent quota changes. Anthropic doubled some Claude usage limits, and suddenly the product feels less constrained.Also, can we just acknowledge the comedy here? Elon Musk publicly called Anthropic “misanthropic,”, went off against every competitor to XAI, is now selling spare GPU time to Cursor and Anthropic? Who's next, OpenAI? The bigger point is that the AI capex story is no longer just NVIDIA. It's also whoever owns the data centers, power, cooling, networking, and GPU clusters. Compute is becoming the land under the AI economy.Also, Andrej Karpathy joined Anthropic. Karpathy could work anywhere. He co-founded OpenAI, led Tesla Autopilot vision, taught half the AI world how neural nets work, and now he's going back into frontier LLM R&D at Anthropic.Open source LLMs - Cohere, Qwen, NousOpen source had a strong week too.Cohere released Command A+, a 218B total parameter sparse MoE model with only 25B active parameters per token, under Apache 2.0. This is their first model that unifies reasoning, vision, multilingual, tool use and citations in one package.The hardware story is great: W4A4 quantization can run on 2 H100s or a single B200. Cohere says it supports 48 languages, 128K input context, 64K output, and gets big jumps over Command A Reasoning, including Tau-squared Bench Telecom from 37% to 85% and Terminal-Bench Hard from 3% to 25%.Cohere is one of those labs that doesn't always chase the loudest consumer hype, but they are very serious on enterprise and multilingual. Apache 2.0 makes this one especially useful.Alibaba also dropped Qwen 3.7-Max, positioned as an agentic frontier model. The headline from their testing is wild: 35 hours of continuous autonomous operation with more than 1,000 tool calls. They also showed it controlling a physical robot inside Alibaba offices and finding an umbrella after about 20 minutes of agent interaction.This digital-to-physical bridge is where things start feeling very real. An agent loop that can write code and use tools can also navigate physical tasks if you give it the right robotics stack.And our friends at Nous Research released Lighthouse Attention, a sparse attention method for long-context pretraining. At 512K context, they report a 17x faster forward+backward pass than standard attention on a single B200, and the recovered checkpoints actually beat dense-from-scratch final loss at the same token budget.The clever part is that the selection logic sits outside the attention kernel, so you still use regular FlashAttention on a gathered dense subsequence. No custom sparse kernel nonsense. If this holds up, this could matter a lot for long-context training.Tools and agentic engineering - X subscriptions, Grok Build, Codex MobileOne really practical tool update: Hermes and OpenClaw can now use your X subscription directly.This is more important than it sounds. You can connect your X Premium subscription and get access to semantic X search and Grok-related tooling without using sketchy browser automation or unofficial APIs that might get you banned. Wolfram already used this to have his agent go through his likes and bookmarks from the past week and send me news items for the show. That is exactly the kind of “small but real” agent workflow that becomes addictive.xAI also launched Grok Build, their agentic CLI coding tool, in early beta for SuperGrok Heavy subscribers. Early users are already running parallel Grok Build agents through tmux supervisors and using it for more than coding: fleet data triage, security patching, training label work, and general automation.The pricing being discussed is aggressive, around $1 per million input tokens and $2 per million output tokens for the API. The model version is grok-build-0.1, and folks have already wired it into Hermes with a 256K context window.And then there's Codex Mobile, which OpenAI shipped inside the ChatGPT mobile apps. This is one of those releases that sounds small until you start using it. You can control Codex sessions remotely from your phone, connected to your machine, and because Codex has native connectors to Gmail, Calendar and other surfaces, it sometimes feels faster and more reliable than local CLIs duct-taped to third-party integrations.I ported Wolfred into Codex with skills and everything, and I've been comparing the same tasks in Hermes and Codex. Codex is often faster, not necessarily because the model is always smarter, but because the connectors and harness are cleaner. Harness matters. We keep coming back to this.This Week's Buzz - W&B, CoreWeave, WolfBench and roboticsThis week in the Buzz, Wolfram walked us through a few things from the Weights & Biases / CoreWeave world.CoreWeave is a gold sponsor at ICRA 2026 in Vienna, the International Conference on Robotics and Automation. NVIDIA is also going big there with a keynote on generalist humanoid robots, 17 accepted papers and workshops around sim-to-real, robot foundation models, autonomous driving, manipulation, and physical AI.Wolfram will be there later in the week, after speaking at the AI Developer event in Cologne about WolfBench. If you're in Europe and into robotics or agent evals, find him.We also looked at WolfBench results for Gemini 3.5 Flash, which honestly became one of the more interesting empirical points of the episode. The model looks variable in simple harnesses, but very capable in better agent loops. That's the whole thesis of measuring model + harness together instead of pretending the model card tells the whole story.The water discourse, almonds, and data center realityWe also got into the data center water discourse, because this talking point is everywhere right now.There are real infrastructure questions around AI. Power, land, cooling, grid capacity, permitting, local impact, all of that matters. But the “AI is stealing drinking water” version of the argument is often wildly detached from scale.The stat I brought up on the show: California almonds use roughly 3 to 5.5 million acre-feet of water per year, multiple times more than all North American data centers combined in 2025. Nisten and LDJ added the important cooling nuance: many large data centers use closed-loop cooling, and evaporative cooling is not universal. Some data centers can avoid water use almost entirely, but at the cost of higher electricity usage.This doesn't mean “no concerns are valid.” It means if we're going to regulate or pause data centers, let's be honest about the actual tradeoffs. AI compute is becoming the substrate for medicine, robotics, science, logistics, software, education and every other productivity layer. We should build responsibly, but not based on viral fear math.Closing thoughts - foothills of the singularityDemis closed I/O saying we're in the foothills of the singularity, and I know how that lands when you write it down. But I was in the room, and after the keynote he told me something I haven't been able to shake: he thinks AI is going to be 10x as impactful as the Industrial Revolution, and 10x as fast. Basically 100x. This is the AlphaFold guy. Not someone loose with his words.Then look at the week. A general reasoner cracked an 80-year-old math problem. Cursor is training near-frontier coding models on a fraction of the big-lab budget. Anthropic is paying Elon $15B a year for inference. Karpathy left education to go back into pre-training. Google rolled out an intelligence uplift to a billion people who don't even know a model dropped.If you put that on a whiteboard in 2023, it reads like a sci-fi pitch.LDJ's mathematician friends are asking if they should keep doing their PhDs. My answer hasn't changed: yes, please keep going. The people who combine domain taste with these tools are going to ship more in 5 years than the previous generation did in 50. The tool doesn't replace the taste. It just removes the bottleneck.That's the whole reason ThursdAI exists. Not to hype every drop, not to dunk for engagement, but to give you a shot at being one of the people who knows what's happening, with the receipts.This week, a lot changed.See you next Thursday.TL;DR and Show Notes* Hosts and Guests* Alex Volkov - AI Evangelist at Weights & Biases / CoreWeave, @altryne* Co-hosts: @WolframRvnwlf, @nisten, @ldjconfirmed* Guest: Logan Kilpatrick, MTS at Google DeepMind / AI Studio, @OfficialLoganK* Google I/O 2026* Google went all-in on agents across Search, Gemini, Antigravity, Workspace, Android, Cloud and YouTube (I/O site, Alex thread)* Antigravity 2.0 became the central agentic coding harness across Google (Sundar, Google OS demo)* Gemini 3.5 Flash launched as a fast, determined workhorse model for agentic loops (Logan, Noam Shazeer, Jeff Dean)* Gemini 3.5 Flash is rolling out across the Gemini app, Search AI Mode, Gemini API, Google AI Studio, Antigravity and Gemini Enterprise Agent Platform (Koray Kavukcuoglu)* Google Search is getting new Gemini 3.5 Flash-powered agentic capabilities, including a new AI-powered Search box and background information agents (Sundar)* Gemini Spark was announced as a 24/7 personal AI agent that can proactively work across Google surfaces (News from Google)* Google teased Gemini-powered Android XR smart glasses with eyewear partners Gentle Monster and Warby Parker (Google, Alex live reaction)* Google AI Studio and the Gemini API got major agentic developer updates, including Managed Agents (Google AI Developers)* Vision & Video* Google DeepMind launched Gemini Omni, a “create anything from anything” multimodal model starting with conversational video editing (DeepMind, Google DeepMind on X)* Omni is available in the Gemini app, Google Flow and YouTube, with API support coming soon (Logan, Gemini App, Sundar)* Key distinction: Omni is not just text-to-video, it is an iterative multi-turn video editing model that combines Gemini intelligence, world knowledge, multimodal inputs and generative media (Google)* Big CO LLMs + APIs* OpenAI announced a general-purpose reasoning model made progress on the Erdős planar unit distance problem, challenging an 80-year-old mathematical belief (OpenAI, X)* Cursor launched Composer 2.5, built on Kimi K2.5, with Opus-class coding performance at much lower cost (Cursor blog, X)* Alibaba released Qwen 3.7-Max, an agentic frontier model with long autonomous runs and robotics demos (Qwen blog, X, robot demo)* Andrej Karpathy joined Anthropic to work on frontier LLM R&D (X)* SpaceX IPO filing revealed Anthropic is paying $1.25B/month for AI compute at the Memphis Colossus facility (Axios, Sawyer Merritt)* The jury in Musk v. Altman found Musk's OpenAI claims barred by statute of limitations, with Musk saying he will appeal (Elon Musk, Sawyer Merritt, Max Zeff)* Open Source LLMs* Cohere released Command A+, a 218B MoE model with 25B active parameters under Apache 2.0 (Cohere, Nick Frosst, HF W4A4, HF BF16)* Nous Research released Lighthouse Attention, a sparse attention method for long-context pretraining with major speedups (Blog, X, arXiv, GitHub)* Tools & Agentic Engineering* Google launched Managed Agents in the Gemini API, letting developers spin up hosted Antigravity agents with Linux sandboxes and persistent state (Docs, X)* xAI launched Grok Build, an agentic CLI coding tool in beta for SuperGrok Heavy users (xAI CLI, X)* Hermes and OpenClaw can now use X subscription auth for semantic search and Grok tooling (Alex)* OpenAI Codex Mobile is now available in the ChatGPT mobile apps for remote agent workflows (OpenAI)* Anthropic doubled Claude usage outside peak hours for a limited period, including Claude Code and other Claude surfaces (Claude)* This Week's Buzz - W&B / CoreWeave* Weights & Biases by CoreWeave is at ICRA 2026 in Vienna, with robotics and automation taking center stage (ICRA, W&B event page)* NVIDIA heads to ICRA 2026 with robotics work around generalist humanoids, physical AI and sim-to-real systems (NVIDIA Robotics, NVIDIA ICRA)* Wolfram is speaking about WolfBench at the AI Developer event in Cologne before heading to ICRA in Vienna (Wolfram)* Other Topics* Data center water usage discourse came up again, including why comparisons need real scale and context rather than viral fear math* The broader theme of the week: coding agents are becoming general agents, and the major labs are now competing on the full stack of model, harness, tools, context and compute This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit sub.thursdai.news/subscribe

Demis Hassabis, Co-Founder and CEO of Google DeepMind, refused to leave London, challenged Google on AI safety and helped lead DeepMind back into the AI race.Sebastian Mallaby, author of The Infinity Machine and The Power Law, joins Andreas Munk Holm to discuss the founder psychology of Demis, the story behind DeepMind and why Europe may be entering a new era in technology.The conversation explores DeepMind's fundraising journey, the Google acquisition, the merger with Google Brain, AI safety, sovereign technology and why Demis remains sceptical of parts of Silicon Valley culture despite operating at the centre of it.Timestamps(00:00) Why Demis Hassabis matters(01:12) Why DeepMind could not raise from European VCs(07:35) The Peter Thiel chess story(11:00) What DeepMind reveals about European venture(14:42) Why Europe's tech ecosystem is accelerating(18:20) European sovereignty, defence tech and AI(21:20) DeepMind's sale to Google and tensions over AI safety(29:40) The founder psychology of Demis(41:35) Google's ChatGPT moment and Gemini's comeback(45:05) Demis' critique of Silicon Valley(50:45) Europe's AI sovereignty problem(54:05) Final thoughts and Sebastian's new bookSubscribe to EUVC, the home of European tech, for more insights.

Google I/O 2026 just dropped Gemini Omni, a world-model AI that simulates physics, edits video, and might be the biggest leap since Seedance 2. But it's not perfect. Gavin and Kevin break down everything from Google I/O 2026, including the launch of Gemini Omni (Google's new world model), Gemini 3.5 Flash benchmarks against GPT-5.5 and Opus 4.7, the Gemini Spark personal agent, AskYouTube, Docs Live, new AI glasses, the first search box redesign in 25 years, and the shocking news that Andrej Karpathy is joining Anthropic. SHOW LINKS: Google I/O 2026 Full Keynote: https://www.youtube.com/live/wYSncx9zLIU?si=Nb881MfGTlf1Q0II Gemini Omni physics demos from Google DeepMind: https://x.com/GoogleDeepMind/status/2056786449312493669?s=20 Gemini Omni's incredible London knowledge (via fofrAI): https://x.com/fofrAI/status/2056789242274259242?s=20 Sundar Pichai and Demis Hassabis on Omni video editing: https://x.com/sundarpichai/status/2056524502746747048?s=20 Gavin's hands-on Gemini Omni experiments: https://x.com/gavinpurcell/status/2056762427879182692?s=20 Gemini Omni's character cameo feature (less impressive): https://x.com/gavinpurcell/status/2056772793539481830?s=20 Gemini Omni volleyball fail: https://x.com/flavioAd/status/2056771223359549645?s=20 Google's new Content Credentials Verification: https://x.com/Google/status/2056787498676658576?s=20 Genie 3 IRL — Google's world model now simulates real streets with Street View: https://techcrunch.com/2026/05/19/googles-genie-world-model-can-now-simulate-real-streets-with-street-view/ Bilawal Sidhu on Genie 3 IRL: https://x.com/bilawalsidhu/status/2056804315721843024?s=20 Gemini 3.5 Flash launches — official announcement: https://x.com/GeminiApp/status/2056788115893993701?s=20 Gemini Spark — Google's new personal coding agent: https://x.com/Google/status/2056791134295273554?s=20 Google's new AI glasses  https://x.com/backlon/status/2056807059707036050?s=20 Andrej Karpathy joins Anthropic to focus on recursive self-learning: https://www.axios.com/2026/05/19/anthropic-openai-karpathy-andrej-claude  

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.

In the latest AI boom Google has been playing catch-up with the likes of OpenAI and Anthropic. But with stacks of cash, its own AI chips and some of the best AI talent in the world, is Google about to make a comeback? Murad Ahmed speaks to the FT's AI editor Madhumita Murgia and Stephen Morris, the FT's bureau chief in San Francisco.FT articles free to read: DeepMind chief Demis Hassabis warns AI investment looks ‘bubble-like'DeepMind slows down research releases to keep competitive edge in AI raceGoogle staff urge chief executive to block US military AI useTech Tonic is hosted by Murad Ahmed and produced by Edwin Lane. The executive producer is Topher Forhecz. Sound design by Breen Turner and Sam Giovinco. The FT's global head of audio is Cheryl Brumley.Tell us what you think of Tech Tonic! Complete this short survey and you'll get the chance to win a pair of Bose QuietComfort wireless headphones.Prize draw winners' surnames and regions may be made available upon request, as required by the Advertising Standards Authority. If you do not want your information to be made available, please email Privacy.Officer@ft.com upon entry. For more information on your rights and how we use your data, please read our Privacy Policy.Read a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

【欢迎订阅】 每天早上5:30，准时更新。 【阅读原文】 标题：Could AI's leading men become as powerful as Ford or Rockefeller?正文：DARIO, DEMIS, Elon, Mark and Sam. The five most important people in artificial intelligence are so famous that first names alone are enough to identify them. Politicians and journalists hang on their every word. ChatGPT, run by Sam Altman's OpenAI, has more than 900m weekly users. Dario Amodei's Anthropic has developed an AI model so good at hacking it has caused panic among policymakers. Demis Hassabis, head of Google's AI efforts, has won a Nobel prize. Elon Musk, who runs xAI, is the richest person alive. Mark Zuckerberg's Meta has created the West's most popular family of open-source models.知识点：artificial intelligence n. /ˌɑːrtɪˈfɪʃl ɪnˈtelɪdʒəns/the study and development of computer systems that can copy intelligent human behaviour 人工智能• Artificial intelligence is transforming how doctors diagnose diseases in rural areas. 人工智能正在改变医生在农村地区诊断疾病的方式。• The course introduces students to the basic principles of artificial intelligence and machine learning. 这门课程向学生介绍人工智能和机器学习的基本原理。获取外刊的完整原文以及精讲笔记，请关注微信公众号「早安英文」，回复“外刊”即可。更多有意思的英语干货等着你！ 【节目介绍】 《早安英文-每日外刊精读》，带你精读最新外刊，了解国际最热事件：分析语法结构，拆解长难句，最接地气的翻译，还有重点词汇讲解。 所有选题均来自于《经济学人》《纽约时报》《华尔街日报》《华盛顿邮报》《大西洋月刊》《科学杂志》《国家地理》等国际一线外刊。 【适合谁听】 1、关注时事热点新闻，想要学习最新最潮流英文表达的英文学习者 2、任何想通过地道英文提高听、说、读、写能力的英文学习者 3、想快速掌握表达，有出国学习和旅游计划的英语爱好者 4、参加各类英语考试的应试者（如大学英语四六级、托福雅思、考研等） 【你将获得】 1、超过1000篇外刊精读课程，拓展丰富语言表达和文化背景 2、逐词、逐句精确讲解，系统掌握英语词汇、听力、阅读和语法 3、每期内附学习笔记，包含全文注释、长难句解析、疑难语法点等，帮助扫除阅读障碍。

This episode features a dynamic panel discussion on exponential technologies, AI advancements, robotics, and the future of humanity. Experts explore the implications of AI, robotics, biotech, and societal shifts, offering insights into what the next decade holds for innovation and civilization. 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 Steven Kotler is a New York Times bestselling author, and founder of the Flow Research Collective and Flow Institute, known for his work on flow and human performance. 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: https://www.fountainlife.com/peter  _ Connect with Peter: X Instagram Substack Website Xprize Connect with Steven X Instagram LinkedIn Website Connect with Dave: Web X LinkedIn Instagram TikTok 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 May 4th, 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

Demis Hassabis, co-founder and CEO of Google DeepMind and 2024 Nobel laureate in chemistry for AlphaFold, joins Sequoia partner Konstantine Buhler at AI Ascent 2026 for a wide-ranging conversation about the path to AGI and what comes after. He explains why he believes AGI is achievable by 2030, why drug discovery could collapse from ten years to days, and why we should think of information, not matter or energy, as the most fundamental substance in the universe. Also: what Einstein would tell us about the limits of today's models, and why the next year or two will be critical for humanity.

What happens when the person building the world's most powerful technology is just as worried about it as we are? Sebastian Mallaby, the Pulitzer Prize-nominated author of The Infinity Machine, joins host Zachary Karabell to pull back the curtain on Demis Hassabis, the founder of DeepMind who is currently leading the global charge into artificial intelligence. From the "Ender's Game" mission that drives Hassabis to the chilling logic of why machines might accidentally develop a "survival instinct," this episode explores the mindset of the people shaping our future. Mallaby and Karabell discuss the "infinity" of data required to make these systems work and why the massive hunger for compute power is reshaping the global economy in real-time . Drawing a haunting parallel to Alan Greenspan and the 2008 financial crisis, Mallaby asks a difficult question: Can "the man who knew" the risks actually prevent the catastrophe he sees coming?. Together, they navigate the tension between pure scientific discovery and cutthroat Silicon Valley competition, the potential for a "Nuclear Non-Proliferation" style agreement with China, and the hidden dangers of the "open vs. closed" model debate.What Could Go Right? is produced by The Progress Network and Kaleidoscope.For transcripts, to join the newsletter, and for more information, visit: theprogressnetwork.orgSubscribe to our (FREE) Substack newsletter: https://theprogressnetwork.org/newsletter/Watch the podcast on YouTube: / theprogressnetworkFollow us on X, Instagram, Facebook, TikTok: @progressntwrkSubscribe to Zachary's Substack: www.edgyoptimist.substack.com/Follow him LinkedIn: www.linkedin.com/in/zacharykarabell

OpenAI, Anthropic, Google Deepmind, xAI and Meta - all of them are building models to push the frontiers of artificial intelligence, and all of them want to be the world's leading AI company. Who will come out on top?With the help of the FT's expert reporters, technology news editor Murad Ahmed explores the battles going on between Silicon Valley's frontier AI labs, and the personal rivalries driving them. Who will win out in the bitter rivalry between OpenAI and Anthropic? Can Elon Musk's xAI or Mark Zuckerberg's Meta catch up? Or is Google Deepmind destined to control our AI future? FT articles free to read: Anthropic's Mythos AI model tests limits of global cyber defencesOpenAI investors question $852bn valuation as strategy shiftsDeepMind chief Demis Hassabis warns AI investment looks ‘bubble-like'Meta releases first AI model since Zuckerberg's spending spreeHow Elon Musk's Grok spread sexual deepfakes and child exploitation imagesTech Tonic is hosted by Murad Ahmed and produced by Edwin Lane. Sound design by Breen Turner and Sam Giovinco. The FT's global head of audio is Cheryl Brumley. Hosted on Acast. See acast.com/privacy for more information.

Demis Hassabis says when he set up an AI lab in 2010, “no one believed in it.” The Google DeepMind co-founder and Nobel Prize winner is the subject of Infinity Machine, a new biography by Sebastian Mallaby. The book is a portrait of Hassabis, who Mallaby characterizes as a rare competitor across both science and business. In today's episode, Mallaby speaks with NPR's Steve Inskeep about Hassabis' origins as a young chess player, his Einstein-level ambition, and parallels between Hassabis and Robert Oppenheimer.To listen to Book of the Day sponsor-free and support NPR's book coverage, sign up for Book of the Day+ at plus.npr.org/bookofthedaySee pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

Is it fair that only some businesses have access to Anthropic's super-powerful Mythos AI, given its ability to pierce cyber defences? Will OpenAI go bust? Will Demis Hassabis win the AI wars? Robert Peston talks to Sebastian Mallaby about his biography of British AI genius Demis Hassabis, The Infinity Machine. Note: We contacted OpenAI for comment, who told us that 'the article revisits old, widely reported episodes and frames them through selective anecdotes, anonymous claims, and incomplete context. They also said that OpenAI today is a very different company: larger, more mature, more rigorously governed, and operating at global scale. The Rest is Money is brought to you by Octopus Energy, Britain's smart energy pioneer. Email: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠the⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠restismoney@goalhanger.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@TheRestIsMoney⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@TheRestIsMoney⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@RestIsMoney⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Advertise with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Partnerships@goalhanger.com⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Demis Hassabis – CEO and co-founder of Google DeepMind – is one of the world's most visionary technologists. A child chess prodigy from North London, Hassabis was awarded the 2024 Nobel Prize in Chemistry for using artificial intelligence to predict the complex structures of nearly all known proteins. His company DeepMind, now owned by Google, is at the forefront of the pursuit to build artificial general intelligence, and considered Google's engine room of AI innovation.  Sebastian Mallaby – former FT contributing editor, two-time Pulitzer Prize finalist and author of numerous books – has, for the past 3 years, explored the moral questions at the heart of AI and AGI, through the story of Demis Hassabis. With extensive access to DeepMind and its key players, Mallaby has conducted hundreds of hours of interviews with Hassabis and his inner circle as well as detractors and rivals at other companies. No other journalist has had such a closeup view of the opportunities, hype and threats AI could pose for us all.  In April 2026 Hassabis and Mallaby came together for an intimate exploration of The Infinity Machine, Mallaby's definitive account of Hassabis' life and career. They discussed how he came to lead the world's most ambitious AI lab, what the pursuit of AGI might cost as well as  what it might unlock, and what the story of Hassabis and DeepMind can tell us about humanity's innate drive to develop new technologies. --- If you'd like to become a Member and get access to all our full ad free conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events  ...  Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Nikhyl Singhal is the founder of The Skip, a community for senior product leaders; a former product exec at Meta, Google, and Credit Karma; and a many-time founder. He's also one of the most honest, unfiltered voices on what's actually happening in product management right now.In our in-depth conversation, we discuss:1. Why the next two years will be the most chaotic period in product management history2. Why half of current product managers are at risk, and what separates those who'll do well3. Why you need to find your “moments of joy” with AI4. The “smiling exhaustion” he's seeing across the product community5. The psychological barriers that prevent people from reinventing themselves6. Why your resume's fancy logos matter less than ever, and what matters now7. His prediction that companies will shed 30,000 people and rehire 8,000—all AI-first—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Nikhyl Singhal:• LinkedIn: https://www.linkedin.com/in/nikhyl• X: https://x.com/nikhyl• Podcast & Newsletter: https://skip.show• Skip Community: https://skip.community• Skip Coach: https://skip.coach• Skip.help: https://skip.help—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nikhyl Singhal(02:25) The big picture: what's changing for product managers(10:00) Are product leaders doing better than 2-3 years ago?(11:44) What will change in the next couple of years(14:23) How companies are changing the way they build products(15:51) What “judgment” really means for PMs(17:46) Why there won't be any more bad software(20:25) The skills you need to be effective today(23:31) Why there are more PM roles than ever(24:27) The builder versus information-mover divide(30:14) The non-builder problem(30:53) Should PMs code?(34:15) Why experienced leaders still matter(35:44) The diversity setback nobody's talking about(37:21) Why your brand doesn't matter as much anymore(39:54) How valued skills are flipping upside down(40:49) Why change is so hard for humans(43:53) The “equal disappointment” algorithm(46:39) You must cross the threshold(48:37) This chaos will settle(53:19) Finding your moment of joy(58:50) Nikhyl's AI stack and what he's building(1:00:53) The obsolescence mindset(1:05:24) Specific advice for PMs right now(1:08:58) The four jobs that will exist in the future(1:11:59) Why alignment is changing (but not disappearing)(1:15:40) How engineering is changing even more than PM(1:17:04) The surprising design plateau(1:18:49) Finding optimism in the chaos(1:21:12) Lightning round—Referenced:• Building a long and meaningful career | Nikhyl Singhal (Meta, Google): https://www.lennysnewsletter.com/p/building-a-long-and-meaningful-career• COBOL: https://en.wikipedia.org/wiki/COBOL• United Airlines: https://www.united.com• State of the product job market in early 2026: https://www.lennysnewsletter.com/p/state-of-the-product-job-market-in-ee9• Head of Growth (Anthropic): “Claude is growing itself at this point” | Amol Avasare: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-growth-run• Demis Hassabis on X: https://x.com/demishassabis• Sam Altman on X: https://x.com/sama• Dario Amodei on X: https://x.com/DarioAmodei• Cross on Prime Video: https://www.amazon.com/Cross-Season-1/dp/B0D6X7ZZHC• Jack Ryan on Prime Video: https://www.amazon.com/Tom-Clancys-Jack-Ryan/dp/B0CNDCMN8R• 24 on Prime Video: https://www.amazon.com/24-Season-1/dp/B000HPF85A• Claude Code: https://code.claude.com• Codex: https://chatgpt.com/codex• Lovable: https://lovable.dev• Sonos: https://www.sonos.com• “There are only four jobs” on X: https://x.com/yrechtman/status/2039012253341495462• Paradise on Hulu: https://www.hulu.com/series/paradise-2b4b8988-50c9-4097-bf93-bc34a99a5b4f• Lioness on Paramount+: https://www.paramountplus.com/shows/lioness• Tesla: https://www.tesla.com• Albert Einstein's quote: https://www.goodreads.com/quotes/115696-genius-is-1-talent-and-99-percent-hard-work—Recommended books:• James: https://www.amazon.com/James-Novel-Percival-Everett/dp/0385550367• The Adventures of Huckleberry Finn: https://www.amazon.com/Adventures-Huckleberry-Finn-Unabridged-Uncensored/dp/195483943X—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Demis Hassabis – CEO and co-founder of Google DeepMind – is one of the world's most visionary technologists. A child chess prodigy from North London, Hassabis was awarded the 2024 Nobel Prize in Chemistry for using artificial intelligence to predict the complex structures of nearly all known proteins. His company DeepMind, now owned by Google, is at the forefront of the pursuit to build artificial general intelligence, and considered Google's engine room of AI innovation.  Sebastian Mallaby – former FT contributing editor, two-time Pulitzer Prize finalist and author of numerous books – has, for the past 3 years, explored the moral questions at the heart of AI and AGI, through the story of Demis Hassabis. With extensive access to DeepMind and its key players, Mallaby has conducted hundreds of hours of interviews with Hassabis and his inner circle as well as detractors and rivals at other companies. No other journalist has had such a closeup view of the opportunities, hype and threats AI could pose for us all.  In April 2026 Hassabis and Mallaby came together for an intimate exploration of The Infinity Machine, Mallaby's definitive account of Hassabis' life and career. They discussed how he came to lead the world's most ambitious AI lab, what the pursuit of AGI might cost as well as  what it might unlock, and what the story of Hassabis and DeepMind can tell us about humanity's innate drive to develop new technologies. Learn more about your ad choices. Visit podcastchoices.com/adchoices

This is one of my favorite books over recent years. Sebastian Mallaby is the Paul A. Cocker Senior Fellow for International Economics at the Council of Foreign Relations and author of 6 bestselling books. THE INFINITY MACHINE tells the story of AI's progress over the past 15 years largely, but not exclusively, from Demis Hassabis as the protagonist and leader of DeepMind', with its 2010 mission statement to achieve superintelligence by 2030. It's a rich, informative, page turner.What We Discussed:—What is an Infinity Machine?—Influence of Claude Shannon's Information Theory and Douglas Hofstadter's Pulitzer Prize winning book Gödel, Escher, Bach—Origin of DeepMind in 2010. Prescient. Charter, business plan, included use of agents. How Demis Hassabis was made for the mission!—Contrasts with Sam Altman and the other AI leaders, the Oligopoly (cover of The Economist this week). For example, Nature papers vs white papers on company websites. —In March 2016, the same day when DeepMind's AlphaGo beat Lee Sedol, Hassabis says it's time to do protein folding (later known as AlphaFold).—Symbolic AI (historic, deductive, rule-based) vs Deep Learning (Toronto tribe) and Reinforcement Learning (Alberta tribe).—The Big Miss: DeepMind's lack of early recognition of the importance of transformer models (leading to ChatGPT), creating a big opening for OpenAI. And why was this missed? The Comeback Story. Is this happening again with coding (not in the book)?—The AI Arms Race and Hyperscaling—How the complex relationship between Google and DeepMind evolved —The Double Cross —With the dangers anticipated (parallels to Oppenheimer, Manhattan Project, and the atomic bomb), how to promote AI safety?—Is the major build up of data centers justified?Thank you Bob Fleischman, Jeanie, Ruben Max, FelonBroke America, Seitzinator ❌

“Let's just say it out loud,” Keith Teare, publisher of the That Was the Week newsletter, says. “AI is not dangerous.” Not all of you will agree. I'm certainly not so sure. But the gruff Yorkshireman is convinced that AI can only benefit humanity. For him, with his scientific faith in historical progress, today's AI revolution is a glorious combination of the Enlightenment and the industrial revolution. The only danger, he warns, is the belief in danger itself. Thus his criticism of Anthropic's Dario Amodei, who has been quite explicit about AI's dangers — and for whom the doom narrative is, in Keith's reading at least, designed as a business strategy to solicit governmental backing without government control. AI Is Not Dangerous. Repeat it. Take your ideological medicine. As if you're in a Silicon Valley seminary. Sing it out loud. As if you're in a Methodist choir. Believe it now? Five Takeaways •       The Economist's “Lowlife” Moment: Keith's editorial was triggered by The Economist's forty-five-minute video on the five men running AI — the title alone, “How to Control the Men Who Control AI,” was enough. Why would The Economist think it could control them? And why focus on the personalities rather than the technology, the applications, or the actual human impact? Judging the AI industry by its CEOs is like judging a film by the leading actor's personality rather than the script or the performances. It's the wrong focus — and in Keith's view, a low one for a publication that should know better. The cult of personality is a media creation, feeding on controversy because controversy sells subscriptions. •       AI Is Not Dangerous. Full Stop. Keith's boldest claim: AI is not dangerous — not a little, not potentially, not in the wrong hands. The doom narrative is a media-driven frenzy, fed by CEOs who give it too much airtime and by a readymade audience of Americans whose well-founded economic pessimism makes them receptive to negative messages. The Stanford AI Index Report shows that America is the country where AI is trusted least — paradoxically, also the country where media has the greatest influence. In China, people trust AI more, not because the government tells them to, but because economic progress gives them reasons for optimism. You get what you pay for. •       Amodei's Pitch Disguised as Science: Keith's reading of Dario Amodei's doom narrative: it is a business strategy. The message — AI might kill us all, AI might make us all unemployed — is not a scientific assessment. It's a pitch for Anthropic specifically: if AI is this dangerous, you can't let anyone else control it, so trust us and give us government backing without government oversight. Contrast with Demis Hassabis, who acknowledges risk and then immediately explains what he's doing about it — taking responsibility rather than pointing the finger. And contrast with Zuckerberg, who Keith describes as sociopathic: “whatever serves my interest is gonna come out of my mouth at any given moment.” •       Consensus Capital and the Winner-Take-All Endgame: Keith's post of the week: 75% of all venture capital raised goes to five funds, and 75% of all VC investment goes into five companies. Noah Smith's piece on winner-take-all AI makes the same point from a different angle: linear extrapolation suggests two, maybe five, companies end up with all the money and power. This is what capitalism does — many car companies became a handful, many banks became a handful. AI will produce the same centralisation, but at unprecedented scale and across every domain simultaneously. The question — how does society benefit? — is the most important question of the era. Altman and Musk at least try to answer it. The others don't. •       Manifest Agency. Lean In. Keith's advice to young people who distrust AI: get involved and shape it, because the alternative is to be a victim of whatever outcome arrives without you. AI is valid and inevitable. The question is what influence you have over it, and the answer is: more than you think, but only if you exercise it. Musk and Altman, for all their faults, are two people who do care — and who talk about UBI and universal high income because they understand that the winner-take-all endgame raises genuine questions about distribution. The Sophie Haigney argument — that all the worst people want to be high-agency — has it backwards. A world without agency is a world where elected officials are accountable to no one. About the Guest Keith Teare is a British-American entrepreneur, investor, and the publisher of the That Was the Week newsletter — a daily curation of the most important stories at the intersection of technology, business, and culture. He is a co-founder of TechCrunch and a long-time interlocutor on Keen On America. References: •       That Was the Week newsletter by Keith Teare — this week's editorial: “The Cult of Personality.” •       “How to Control the Men Who Control AI,” The Economist, April 2026. The video that triggered Keith's editorial. •       “I Don't Think Sam Altman Lies,” by Stewart Alsop — the piece that started the conversation. •       John Thornhill, “AI Has an Awful Image Problem,” Financial Times, April 2026. •       Noah Smith, “What If a Few AI Companies End Up with All the Money and Power?” — the winner-take-all argument. •       Episode 2873: Agency, Agency, Agency — Sophie Haigney on the A-word that Keith takes issue with this week. About Keen On America Nobody 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 2,900 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: 

When journalist Sebastian Mallaby approached Demis Hassabis, Google's AI chief and a man with a lifelong mission to build superintelligence, about writing his biography, he made the following pitch: "If you're going to disrupt people from head to toe, you owe them an explanation of why you're doing it. What motivates you? Why do something this dangerous?" Today, Sebastian tells us what answers he found. Sebastian's new book, The Infinity Machine, is out now. Pick up a copy from Amazon, Audible, or Bookshop.org. The Next Big Idea is now on YouTube! You can find our episodes ⁠⁠⁠here⁠⁠⁠. Follow Rufus on ⁠⁠LinkedIn⁠⁠, subscribe to our ⁠⁠Substack⁠⁠, or send us an email at ⁠podcast@nextbigideaclub.com⁠. The best way to support the show is by becoming a Next Big Idea Club member. Learn more at ⁠⁠nextbigideaclub.com⁠⁠, and use code PODCAST for a super secret discount (spoiler: it's 20% off). Sponsored By: Fabric — Join the thousands of parents who trust Fabric to help protect their family at ⁠⁠meetfabric.com/nbi⁠⁠ Factor — Head to ⁠⁠⁠factormeals.com/idea50off⁠⁠⁠ and use code idea50off to get 50% off your first box Granola — Get three months free at ⁠⁠granola.ai/idea⁠⁠ Shopify — Start your $1/month trial at ⁠⁠⁠⁠⁠shopify.com/nbi⁠⁠⁠

“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

Claude Mythos Preview might break the internet, Florida is suing OpenAI and datacenter protests are spreading. This is the AI backlash. This week on AI For Humans, we're having a frank conversation about the growth of anti-AI sentiment and what we (as humans) can do about it.  Florida's Attorney General launched an investigation into ChatGPT and OpenAI over the dangers of AI to children. Datacenter protests are rising across the country, with xAI facing accusations of poisoning local communities. Bernie Sanders and Hank Green are calling for slowing down while Sam Altman is proposing new taxes for when AI does all the work. Oh and Demis Hassabis says he'd rather have cured cancer than compete with ChatGPT. We dig into how the stories we tell about AI shape public perception, starting with last week's Mythos as cyberweapon framing. Is AI the problem or are we the problem?  Plus, Meta surprised everyone with Muse Spark, a new AI model that's actually pretty good. Claude shipped managed agents, a monitor tool, and advisor strategy features. OpenAI introduced a $100/month plan and doubled Codex limits again. And OG content creator Captain Hahaa is doing incredible stuff with Seedance 2.0. EVERYBODY HATES AI. WE DON'T. BUT… MAYBE WE SHOULD? Come to our Discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Claude Mythos Preview Is Everyone's Problem https://www.theatlantic.com/technology/2026/04/claude-mythos-hacking/686746/ Mythos as Cyberweapon: How We Frame AI Stories Matters https://x.com/emollick/status/2041759434590822658?s=20 Florida AG Launches Investigation Into AI https://x.com/AGJamesUthmeier/status/2042258048115265541?s=20 Datacenter Protests Are Rising https://x.com/Skriptkeeper17/status/2041962045193482478?s=20 Hank Green and Bernie Sanders on Slowing Down AI https://youtu.be/hLcY30KEeNs?si=FQQkUA_qPDQuOIOA Sam Altman on Changing How We Tax When AI Does All the Work https://x.com/haider1/status/2042110456429736094?s=20 Demis Hassabis Interview: Would Rather Have Cured Cancer https://youtu.be/C0gErQtnNFE?si=gNrISNqfnaeASBQZ Meta Introduces Muse Spark https://ai.meta.com/blog/introducing-muse-spark-msl/ Gavin Purcell Confused With Irish Rock Star Gavin Purcell of Bicurious https://x.com/gavinpurcell/status/2042071670962450448?s=20 OpenAI Introduces $100/Month Plan and Doubles Codex Limits https://x.com/OpenAI/status/2042295688323875316?s=20 Claude Managed Agents https://x.com/claudeai/status/2041927687460024721?s=20 Claude Monitor Tool https://x.com/noahzweben/status/2042332268450963774?s=20 Claude Advisor Strategy https://x.com/claudeai/status/2042308622181339453?s=20  

“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

今天是寶博自己說的時間，要來聊聊最近科技圈有什麼新進展？有什麼值得關注的議題呢？ 今天會聊到的新聞包括： Siri 變 AI 超級入口：iOS 27 將可一鍵切換 Gemini、Claude，不再獨厚 ChatGPT Google Gemini 3.1 Flash 強化語音互動，任務準確率逾九成 馬斯克啟動地表最大晶片廠 Terafab 計畫，據傳產能「超乎想像」 台灣算力大躍進！最強超級電腦「晶創 26」第 3 季上線 DeepMind 創辦人警告：超級 AI 或滅絕人類，全球競賽已失控 馬上就一起來關注這陣子世界發生的變化吧！ - - - - - -- - - - - - 【寶博朋友說千萬粉絲專屬社群頻道 Discord 開張啦

Demis Hassabis is the Co-Founder & CEO of Google DeepMind - working on AGI, responsible for AI breakthroughs such as AlphaGo, the first program to beat the world champion at the game of Go; and AlphaFold, which cracked the 50-year grand challenge of protein structure prediction and was recognised with the 2024 Nobel Prize in Chemistry. Demis is revolutionising drug discovery at Isomorphic Labs. Ultimately, trying to understand the fundamental nature of reality. AGENDA: 00:04:00 — What Actually Counts as AGI; and Where Are We Today? 00:05:00 — What Are the Biggest Bottlenecks Holding AI Back Today? 00:06:00 — Have We Hit the Limits of Scaling Laws? 00:07:00 — Where Is AI Ahead of Expectations; and What's Still Missing? 00:07:30 — Why Can't AI Systems Learn Continuously Like Humans? 00:08:30 — How Did DeepMind Go from Behind to Leading the Pack? 00:11:00 — Are We Heading Toward Model Commoditization; or Winner-Takes-All? 00:12:00 — What Does the Future of Open Source Really Look Like? 00:13:00 — What Does a Post LLM World Look Like? 00:14:45 — Can AI Really Fix Drug Discovery—and Cut the 10-Year Timeline? 00:17:00 — What Does "Good" AI Regulation Actually Look Like? 00:18:00 — Who Should Be the Ultimate Arbiter of Truth in an AI World? 00:19:30 — If Demis Had One Shot to Fix AI Safety, What Would He Do? 00:21:00 — Is This Time Different for Jobs; or Will History Repeat Itself? 00:22:00 — Is AGI Bigger Than the Industrial Revolution; and Faster? 00:23:00 — Are We Underestimating AI Despite All the Hype? 00:23:30 — Does AI Lead to Massive Inequality; or Universal Prosperity? 00:24:30 — How Do We Solve the Energy Crisis Created by AI? 00:26:00 — Why Stay in the UK Instead of Moving to Silicon Valley? 00:28:00 — Will Europe Ever Build a Trillion-Dollar Tech Giant? 00:29:30 — Meeting Elon Musk for the First Time? 00:31:00 — What Big Questions About AI Is No One Talking About? 00:31:30 — What Does Demis Want His Legacy to Be?    

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

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.

This episode explores the fascinating journey of Demis Hesabis and the development of AI through the lens of Sebastian Malaby's book, The Infinity Machine. We delve into the minds of AI pioneers, their motivations, and the race to achieve superintelligence, offering insights into the future of technology and humanity. Learn more about your ad choices. Visit megaphone.fm/adchoices

[Vote for Firewall and help us win our first Webby Award! https://bit.ly/firewallwebby]Is it possible to build the most powerful technology in human history while remaining a genuinely decent person, or does that kind of greatness require a willingness to burn everything down? Sebastian Mallaby, author of The Infinity Machine, joins Bradley to argue that Demis Hassabis may be the rarest breed: a Nobel Prize-winning scientist and world-changing CEO who cares deeply about safety. But as Mallaby and Bradley explore the coming political reckoning with AI, the big unknown is what sort of catastrophe it will take for our leaders to bring this technology under control.This episode was taped at P&T Knitwear at 180 Orchard Street — New York City's only free podcast recording studio.Firewall nominated for a Webby Award! Vote today and support us for best individual episode - interview or talk show - for Bradley's interview with then-candidate Zohran Mamdani in April 2025. We're up against Oprah, so we'll need all the votes we can get! It only takes 10 seconds - thanks in advance. Vote here before April 16: https://bit.ly/firewallwebbySend us an email with your thoughts on today's episode: info@firewall.media.Subscribe to Bradley's weekly newsletter and follow Bradley on Linkedin + Substack + YouTube.

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

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

TITV Host Akash Pasricha talks with Anita Ramaswamy about Oracle's massive layoffs and AI spend surge, and Catherine Perloff joins to discuss Amazon's Rufus chatbot ads. He also speaks with Aaron Holmes about Anthropic's embarrassing Claude Code leak and get into the state of AI investing and the shift from "bits to atoms" with Radical Ventures Partner Molly Welch. Lastly, Sebastian Mallaby, author of ‘The Infinity Machine' talks with The Information's Editor-in-Chief Jessica Lessin about the visionary mind of Demis Hassabis and the future of Google DeepMind.Articles discussed on this episode: https://www.theinformation.com/newsletters/ai-agenda/claude-code-leak-reveals-always-kairos-agenthttps://www.theinformation.com/articles/amazons-ai-chat-ads-yield-data-salesSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

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

More than 35,000 people attended the recent India AI Impact Summit in Delhi, which featured speeches from more than 20 heads of state and dozens of technology company leaders including Sam Altman of OpenAI, Dario Amodei of Anthropic and Demis Hassabis of Google DeepMind. In this episode, host David Sandalow offers his reflections on the Summit and speaks with Arunabha Ghosh, President of CEEW, a leading Delhi-based public policy think tank. Ghosh offers his views on the Summit, data center construction in India and around the world and the role of AI in sustainable development, among other topics.   This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices