232 Avsnitt

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

    Publicerades: 2025-09-27
  2. Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)

    Publicerades: 2025-09-19
  3. Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

    Publicerades: 2025-09-10
  4. The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)

    Publicerades: 2025-09-04
  5. Michael Timothy Bennett: Defining Intelligence and AGI Approaches

    Publicerades: 2025-08-28
  6. Superintelligence Strategy (Dan Hendrycks)

    Publicerades: 2025-08-14
  7. DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)

    Publicerades: 2025-08-05
  8. Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)

    Publicerades: 2025-07-31
  9. Pushing compute to the limits of physics

    Publicerades: 2025-07-21
  10. The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)

    Publicerades: 2025-07-06
  11. The Fractured Entangled Representation Hypothesis (Intro)

    Publicerades: 2025-07-05
  12. Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)

    Publicerades: 2025-06-24
  13. How AI Learned to Talk and What It Means - Prof. Christopher Summerfield

    Publicerades: 2025-06-17
  14. "Blurring Reality" - Chai's Social AI Platform (SPONSORED)

    Publicerades: 2025-05-26
  15. Google AlphaEvolve - Discovering new science (exclusive interview)

    Publicerades: 2025-05-14
  16. Prof. Randall Balestriero - LLMs without pretraining and SSL

    Publicerades: 2025-04-23
  17. How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

    Publicerades: 2025-04-08
  18. Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!

    Publicerades: 2025-04-02
  19. The Compendium - Connor Leahy and Gabriel Alfour

    Publicerades: 2025-03-30
  20. ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)

    Publicerades: 2025-03-24

1 / 12

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/).

Visit the podcast's native language site