Machine Learning Street Talk (MLST)

A podcast by Machine Learning Street Talk (MLST)

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217 Episodio

  1. Jurgen Schmidhuber on Humans co-existing with AIs

    Pubblicato: 16/01/2025
  2. Yoshua Bengio - Designing out Agency for Safe AI

    Pubblicato: 15/01/2025
  3. Francois Chollet - ARC reflections - NeurIPS 2024

    Pubblicato: 09/01/2025
  4. Jeff Clune - Agent AI Needs Darwin

    Pubblicato: 04/01/2025
  5. Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

    Pubblicato: 07/12/2024
  6. Jonas Hübotter (ETH) - Test Time Inference

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

    Pubblicato: 25/11/2024
  8. Nora Belrose - AI Development, Safety, and Meaning

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

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

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

    Pubblicato: 06/11/2024
  12. The Elegant Math Behind Machine Learning - Anil Ananthaswamy

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

    Pubblicato: 24/10/2024
  14. Speechmatics CTO - Next-Generation Speech Recognition

    Pubblicato: 23/10/2024
  15. Dr. Sanjeev Namjoshi - Active Inference

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

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

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

    Pubblicato: 12/10/2024
  19. Bold AI Predictions From Cohere Co-founder

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

    Pubblicato: 04/10/2024

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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/).

Visit the podcast's native language site