242 Episodes

  1. Can AI therapy be more effective than drugs?

    Published: 8/8/2024

  2. Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)

    Published: 7/29/2024

  3. Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)

    Published: 7/28/2024

  4. Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

    Published: 7/18/2024

  5. Prof. Murray Shanahan - Machines Don't Think Like Us

    Published: 7/14/2024

  6. David Chalmers - Reality+

    Published: 7/8/2024

  7. Ryan Greenblatt - Solving ARC with GPT4o

    Published: 7/6/2024

  8. Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)

    Published: 6/29/2024

  9. New "50%" ARC result and current winners interviewed

    Published: 6/18/2024

  10. Cohere co-founder Nick Frosst on building LLM apps for business

    Published: 6/16/2024

  11. What’s the Magic Word? A Control Theory of LLM Prompting.

    Published: 6/5/2024

  12. CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina

    Published: 5/6/2024

  13. Dr. Thomas Parr - Active Inference Book

    Published: 5/1/2024

  14. Connor Leahy - e/acc, AGI and the future.

    Published: 4/21/2024

  15. Prof. Chris Bishop's NEW Deep Learning Textbook!

    Published: 4/10/2024

  16. Philip Ball - How Life Works

    Published: 4/7/2024

  17. Dr. Paul Lessard - Categorical/Structured Deep Learning

    Published: 4/1/2024

  18. Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter

    Published: 3/20/2024

  19. Prof. Nick Chater - The Language Game (Part 1)

    Published: 3/1/2024

  20. Kenneth Stanley created a new social network based on serendipity and divergence

    Published: 2/28/2024

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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/).