Machine Learning Street Talk (MLST)

174 Episoder

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

   Publisert: 29.10.2023
2. DR. JEFF BECK - THE BAYESIAN BRAIN

   Publisert: 16.10.2023
3. Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!

   Publisert: 10.9.2023
4. Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead

   Publisert: 5.9.2023
5. STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics

   Publisert: 15.8.2023
6. Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS

   Publisert: 14.8.2023
7. Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy

   Publisert: 4.8.2023
8. Dr. MAXWELL RAMSTEAD - The Physics of Survival

   Publisert: 16.7.2023
9. MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]

   Publisert: 2.7.2023
10. [SPONSORED] The Digitized Self: AI, Identity and the Human Psyche (YouAi)

    Publisert: 29.6.2023
11. Joscha Bach and Connor Leahy on AI risk

    Publisert: 20.6.2023
12. Neel Nanda - Mechanistic Interpretability

    Publisert: 18.6.2023
13. Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)

    Publisert: 4.6.2023
14. Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]

    Publisert: 31.5.2023
15. ROBERT MILES - "There is a good chance this kills everyone"

    Publisert: 21.5.2023
16. AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)

    Publisert: 16.5.2023
17. Future of Generative AI [David Foster]

    Publisert: 11.5.2023
18. PERPLEXITY AI - The future of search.

    Publisert: 8.5.2023
19. #114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)

    Publisert: 16.4.2023
20. Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction

    Publisert: 10.4.2023