236 Episoade

  1. Prof. BERT DE VRIES - ON ACTIVE INFERENCE

    Publicat: 20.11.2023

  2. MULTI AGENT LEARNING - LANCELOT DA COSTA

    Publicat: 05.11.2023

  3. THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]

    Publicat: 29.10.2023

  4. DR. JEFF BECK - THE BAYESIAN BRAIN

    Publicat: 16.10.2023

  5. Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!

    Publicat: 10.09.2023

  6. Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead

    Publicat: 05.09.2023

  7. STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics

    Publicat: 15.08.2023

  8. Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS

    Publicat: 14.08.2023

  9. Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy

    Publicat: 04.08.2023

  10. Dr. MAXWELL RAMSTEAD - The Physics of Survival

    Publicat: 16.07.2023

  11. MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]

    Publicat: 02.07.2023

  12. [SPONSORED] The Digitized Self: AI, Identity and the Human Psyche (YouAi)

    Publicat: 29.06.2023

  13. Joscha Bach and Connor Leahy on AI risk

    Publicat: 20.06.2023

  14. Neel Nanda - Mechanistic Interpretability

    Publicat: 18.06.2023

  15. Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)

    Publicat: 04.06.2023

  16. Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]

    Publicat: 31.05.2023

  17. ROBERT MILES - "There is a good chance this kills everyone"

    Publicat: 21.05.2023

  18. AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)

    Publicat: 16.05.2023

  19. Future of Generative AI [David Foster]

    Publicat: 11.05.2023

  20. PERPLEXITY AI - The future of search.

    Publicat: 08.05.2023

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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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