246 Episodes

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

    Published: 5/08/2025
  2. Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)

    Published: 31/07/2025
  3. Pushing compute to the limits of physics

    Published: 21/07/2025
  4. The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)

    Published: 6/07/2025
  5. The Fractured Entangled Representation Hypothesis (Intro)

    Published: 5/07/2025
  6. Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)

    Published: 24/06/2025
  7. How AI Learned to Talk and What It Means - Prof. Christopher Summerfield

    Published: 17/06/2025
  8. "Blurring Reality" - Chai's Social AI Platform (SPONSORED)

    Published: 26/05/2025
  9. Google AlphaEvolve - Discovering new science (exclusive interview)

    Published: 14/05/2025
  10. Prof. Randall Balestriero - LLMs without pretraining and SSL

    Published: 23/04/2025
  11. How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

    Published: 8/04/2025
  12. Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!

    Published: 2/04/2025
  13. The Compendium - Connor Leahy and Gabriel Alfour

    Published: 30/03/2025
  14. ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)

    Published: 24/03/2025
  15. Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)

    Published: 22/03/2025
  16. GSMSymbolic paper - Iman Mirzadeh (Apple)

    Published: 19/03/2025
  17. Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)

    Published: 18/03/2025
  18. Tau Language: The Software Synthesis Future (sponsored)

    Published: 12/03/2025
  19. John Palazza - Vice President of Global Sales @ CentML ( sponsored)

    Published: 10/03/2025
  20. Transformers Need Glasses! - Federico Barbero

    Published: 8/03/2025

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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

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