217 Avsnitt

  1. Jurgen Schmidhuber on Humans co-existing with AIs

    Publicerades: 2025-01-16
  2. Yoshua Bengio - Designing out Agency for Safe AI

    Publicerades: 2025-01-15
  3. Francois Chollet - ARC reflections - NeurIPS 2024

    Publicerades: 2025-01-09
  4. Jeff Clune - Agent AI Needs Darwin

    Publicerades: 2025-01-04
  5. Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

    Publicerades: 2024-12-07
  6. Jonas Hübotter (ETH) - Test Time Inference

    Publicerades: 2024-12-01
  7. How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)

    Publicerades: 2024-11-25
  8. Nora Belrose - AI Development, Safety, and Meaning

    Publicerades: 2024-11-17
  9. Why Your GPUs are underutilised for AI - CentML CEO Explains

    Publicerades: 2024-11-13
  10. Eliezer Yudkowsky and Stephen Wolfram on AI X-risk

    Publicerades: 2024-11-11
  11. Pattern Recognition vs True Intelligence - Francois Chollet

    Publicerades: 2024-11-06
  12. The Elegant Math Behind Machine Learning - Anil Ananthaswamy

    Publicerades: 2024-11-04
  13. Michael Levin - Why Intelligence Isn't Limited To Brains.

    Publicerades: 2024-10-24
  14. Speechmatics CTO - Next-Generation Speech Recognition

    Publicerades: 2024-10-23
  15. Dr. Sanjeev Namjoshi - Active Inference

    Publicerades: 2024-10-22
  16. Joscha Bach - Why Your Thoughts Aren't Yours.

    Publicerades: 2024-10-20
  17. Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini

    Publicerades: 2024-10-19
  18. It's Not About Scale, It's About Abstraction - Francois Chollet

    Publicerades: 2024-10-12
  19. Bold AI Predictions From Cohere Co-founder

    Publicerades: 2024-10-10
  20. Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel

    Publicerades: 2024-10-04

2 / 11

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