239 Episodio

  1. $450M AI Startup In 3 Years | Chai AI

    Pubblicato: 09/01/2024

  2. DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya

    Pubblicato: 07/01/2024

  3. Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]

    Pubblicato: 26/12/2023

  4. Prof. BERT DE VRIES - ON ACTIVE INFERENCE

    Pubblicato: 20/11/2023

  5. MULTI AGENT LEARNING - LANCELOT DA COSTA

    Pubblicato: 05/11/2023

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

    Pubblicato: 29/10/2023

  7. DR. JEFF BECK - THE BAYESIAN BRAIN

    Pubblicato: 16/10/2023

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

    Pubblicato: 10/09/2023

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

    Pubblicato: 05/09/2023

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

    Pubblicato: 15/08/2023

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

    Pubblicato: 14/08/2023

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

    Pubblicato: 04/08/2023

  13. Dr. MAXWELL RAMSTEAD - The Physics of Survival

    Pubblicato: 16/07/2023

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

    Pubblicato: 02/07/2023

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

    Pubblicato: 29/06/2023

  16. Joscha Bach and Connor Leahy on AI risk

    Pubblicato: 20/06/2023

  17. Neel Nanda - Mechanistic Interpretability

    Pubblicato: 18/06/2023

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

    Pubblicato: 04/06/2023

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

    Pubblicato: 31/05/2023

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

    Pubblicato: 21/05/2023

6 / 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