Machine Learning Street Talk (MLST)

174 Episodo

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

   Publicado: 29/10/2023
2. DR. JEFF BECK - THE BAYESIAN BRAIN

   Publicado: 16/10/2023
3. Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!

   Publicado: 10/9/2023
4. Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead

   Publicado: 5/9/2023
5. STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics

   Publicado: 15/8/2023
6. Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS

   Publicado: 14/8/2023
7. Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy

   Publicado: 4/8/2023
8. Dr. MAXWELL RAMSTEAD - The Physics of Survival

   Publicado: 16/7/2023
9. MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]

   Publicado: 2/7/2023
10. [SPONSORED] The Digitized Self: AI, Identity and the Human Psyche (YouAi)

    Publicado: 29/6/2023
11. Joscha Bach and Connor Leahy on AI risk

    Publicado: 20/6/2023
12. Neel Nanda - Mechanistic Interpretability

    Publicado: 18/6/2023
13. Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)

    Publicado: 4/6/2023
14. Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]

    Publicado: 31/5/2023
15. ROBERT MILES - "There is a good chance this kills everyone"

    Publicado: 21/5/2023
16. AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)

    Publicado: 16/5/2023
17. Future of Generative AI [David Foster]

    Publicado: 11/5/2023
18. PERPLEXITY AI - The future of search.

    Publicado: 8/5/2023
19. #114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)

    Publicado: 16/4/2023
20. Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction

    Publicado: 10/4/2023