Machine Learning Street Talk (MLST)

235 Épisodes

1. Francois Chollet - ARC reflections - NeurIPS 2024

   Publié: 09/01/2025
2. Jeff Clune - Agent AI Needs Darwin

   Publié: 04/01/2025
3. Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

   Publié: 07/12/2024
4. Jonas Hübotter (ETH) - Test Time Inference

   Publié: 01/12/2024
5. How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)

   Publié: 25/11/2024
6. Nora Belrose - AI Development, Safety, and Meaning

   Publié: 17/11/2024
7. Why Your GPUs are underutilised for AI - CentML CEO Explains

   Publié: 13/11/2024
8. Eliezer Yudkowsky and Stephen Wolfram on AI X-risk

   Publié: 11/11/2024
9. Pattern Recognition vs True Intelligence - Francois Chollet

   Publié: 06/11/2024
10. The Elegant Math Behind Machine Learning - Anil Ananthaswamy

    Publié: 04/11/2024
11. Michael Levin - Why Intelligence Isn't Limited To Brains.

    Publié: 24/10/2024
12. Speechmatics CTO - Next-Generation Speech Recognition

    Publié: 23/10/2024
13. Dr. Sanjeev Namjoshi - Active Inference

    Publié: 22/10/2024
14. Joscha Bach - Why Your Thoughts Aren't Yours.

    Publié: 20/10/2024
15. Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini

    Publié: 19/10/2024
16. It's Not About Scale, It's About Abstraction - Francois Chollet

    Publié: 12/10/2024
17. Bold AI Predictions From Cohere Co-founder

    Publié: 10/10/2024
18. Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel

    Publié: 04/10/2024
19. Ben Goertzel on "Superintelligence"

    Publié: 01/10/2024
20. Taming Silicon Valley - Prof. Gary Marcus

    Publié: 24/09/2024