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  1. Your Brain is Running a Simulation Right Now [Max Bennett]

    Tim sits down with Max Bennett to explore how our brains evolved over 600 million years—and what that means for understanding both human intelligence and AI. Max isn't a neuroscientist by training. He's a tech entrepreneur who got curious,

  2. The 3 Laws of Knowledge [César Hidalgo]

    César Hidalgo has spent years trying to answer a deceptively simple question: What is knowledge, and why is it so hard to move around? We all have this intuition that knowledge is just... information. Write it down in a book, upload it to G

  3. "I Desperately Want To Live In The Matrix" - Dr. Mike Israetel

    This is a lively, no-holds-barred debate about whether AI can truly be intelligent, conscious, or understand anything at all — and what happens when (or if) machines become smarter than us. Dr. Mike Israetel is a sports scientist, entrepren

  4. Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)

    We often think of Large Language Models (LLMs) as all-knowing, but as the team reveals, they still struggle with the logic of a second-grader. Why can’t ChatGPT reliably add large numbers? Why does it "hallucinate" the laws of physics? The

  5. Are AI Benchmarks Telling The Full Story? [SPONSORED] (Andrew Gordon and Nora Petrova - Prolific)

    Is a car that wins a Formula 1 race the best choice for your morning commute? Probably not. In this sponsored deep dive with Prolific, we explore why the same logic applies to Artificial Intelligence. While models are currently shattering r

  6. The Mathematical Foundations of Intelligence [Professor Yi Ma]

    What if everything we think we know about AI understanding is wrong? Is compression the key to intelligence? Or is there something more—a leap from memorization to true abstraction? In this fascinating conversation, we sit down with **Profe

  7. Pedro Domingos: Tensor Logic Unifies AI Paradigms

    Pedro Domingos, author of the bestselling book "The Master Algorithm," introduces his latest work: Tensor Logic - a new programming language he believes could become the fundamental language for artificial intelligence. Think of it like thi

  8. He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke Darlow [Sakana AI]

    The Transformer architecture (which powers ChatGPT and nearly all modern AI) might be trapping the industry in a localized rut, preventing us from finding true intelligent reasoning, according to the person who co-invented it. Llion Jones a

  9. Why Humans Are Still Powering AI [Sponsored]

    Ever wonder where AI models actually get their "intelligence"? We reveal the dirty secret of Silicon Valley: behind every impressive AI system are thousands of real humans providing crucial data, feedback, and expertise.Guest: Phelim Bradle

  10. The Universal Hierarchy of Life - Prof. Chris Kempes [SFI]

    "What is life?" - asks Chris Kempes, a professor at the Santa Fe Institute. Chris explains that scientists are moving beyond a purely Earth-based, biological view and are searching for a universal theory of life that could apply to anything

  11. Google Researcher Shows Life "Emerges From Code" - Blaise Agüera y Arcas

    Blaise Agüera y Arcas explores some mind-bending ideas about what intelligence and life really are—and why they might be more similar than we think (filmed at ALIFE conference, 2025 - https://2025.alife.org/). Life and intelligence are both

  12. The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)

    We sat down with Sara Saab (VP of Product at Prolific) and Enzo Blindow (VP of Data and AI at Prolific) to explore the critical role of human evaluation in AI development and the challenges of aligning AI systems with human values. Prolific

  13. AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)

    Dr. Ilia Shumailov - Former DeepMind AI Security Researcher, now building security tools for AI agents Ever wondered what happens when AI agents start talking to each other—or worse, when they start breaking things? Ilia Shumailov spent yea

  14. New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman

    We need AI systems to synthesise new knowledge, not just compress the data they see. Jeremy Berman, is a research scientist at Reflection AI and recent winner of the ARC-AGI v2 public leaderboard.**SPONSOR MESSAGES**—Take the Prolific human

  15. Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)

    Professor Andrew Wilson from NYU explains why many common-sense ideas in artificial intelligence might be wrong. For decades, the rule of thumb in machine learning has been to fear complexity. The thinking goes: if your model has too many p

  16. Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

    In this episode, hosts Tim and Keith finally realize their long-held dream of sitting down with their hero, the brilliant neuroscientist Professor Karl Friston. The conversation is a fascinating and mind-bending journey into Professor Frist

  17. The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)

    We are joined by Cristopher Moore, a professor at the Santa Fe Institute with a diverse background in physics, computer science, and machine learning. The conversation begins with Cristopher, who calls himself a "frog" explaining that he pr

  18. Michael Timothy Bennett: Defining Intelligence and AGI Approaches

    Dr. Michael Timothy Bennett is a computer scientist who's deeply interested in understanding artificial intelligence, consciousness, and what it means to be alive. He's known for his provocative paper "What the F*** is Artificial Intelligen

  19. Superintelligence Strategy (Dan Hendrycks)

    Deep dive with Dan Hendrycks, a leading AI safety researcher and co-author of the "Superintelligence Strategy" paper with former Google CEO Eric Schmidt and Scale AI CEO Alexandr Wang. *** SPONSOR MESSAGES Gemini CLI is an open-source AI ag

  20. DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)

    This episode features Shlomi Fuchter and Jack Parker Holder from Google DeepMind, who are unveiling a new AI called Genie 3. The host, Tim Scarfe, describes it as the most mind-blowing technology he has ever seen. We were invited to their o

  21. Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)

    Prof. David Krakauer, President of the Santa Fe Institute argues that we are fundamentally confusing knowledge with intelligence, especially when it comes to AI. He defines true intelligence as the ability to do more with less—to solve nove

  22. Pushing compute to the limits of physics

    Dr. Maxwell Ramstead grills Guillaume Verdon (AKA “Beff Jezos”) who's the founder of Thermodynamic computing startup Extropic. Guillaume shares his unique path – from dreaming about space travel as a kid to becoming a physicist, then workin

  23. The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)

    Are the AI models you use today imposters? Please watch the intro video we did before this: https://www.youtube.com/watch?v=o1q6Hhz0MAg In this episode, hosts Dr. Tim Scarfe and Dr. Duggar are joined by AI researcher Prof. Kenneth Stanley a

  24. The Fractured Entangled Representation Hypothesis (Intro)

    What if today's incredible AI is just a brilliant "impostor"? This episode features host Dr. Tim Scarfe in conversation with guests Prof. Kenneth Stanley (ex-OpenAI), Dr. Keith Duggar (MIT), and Arkash Kumar (MIT).While AI today produces am

  25. Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)

    What if the most powerful technology in human history is being built by people who openly admit they don't trust each other? In this explosive 2-hour debate, three AI experts pull back the curtain on the shocking psychology driving the race

  26. How AI Learned to Talk and What It Means - Prof. Christopher Summerfield

    We interview Professor Christopher Summerfield from Oxford University about his new book "These Strange New Minds: How AI Learned to Talk and What It". AI learned to understand the world just by reading text - something scientists thought w

  27. "Blurring Reality" - Chai's Social AI Platform (SPONSORED)

    "Blurring Reality" - Chai's Social AI Platform - sponsored This episode of MLST explores the groundbreaking work of Chai, a social AI platform that quietly built one of the world's largest AI companion ecosystems before ChatGPT's mainstream

  28. Google AlphaEvolve - Discovering new science (exclusive interview)

    Today GoogleDeepMind released AlphaEvolve: a Gemini coding agent for algorithm discovery. It beat the famous Strassen algorithm for matrix multiplication set 56 years ago. Google has been killing it recently. We had early access to the pape

  29. Prof. Randall Balestriero - LLMs without pretraining and SSL

    Randall Balestriero joins the show to discuss some counterintuitive findings in AI. He shares research showing that huge language models, even when started from scratch (randomly initialized) without massive pre-training, can learn specific

  30. How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

    Prof. Kevin Ellis and Dr. Zenna Tavares talk about making AI smarter, like humans. They want AI to learn from just a little bit of information by actively trying things out, not just by looking at tons of data. They discuss two main ways AI

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