Machine Learning Street Talk (MLST)

233 Episodes

1. Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

   Published: 12/7/2024
2. Jonas Hübotter (ETH) - Test Time Inference

   Published: 12/1/2024
3. How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)

   Published: 11/25/2024
4. Nora Belrose - AI Development, Safety, and Meaning

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

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

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

   Published: 11/6/2024
8. The Elegant Math Behind Machine Learning - Anil Ananthaswamy

   Published: 11/4/2024
9. Michael Levin - Why Intelligence Isn't Limited To Brains.

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

    Published: 10/23/2024
11. Dr. Sanjeev Namjoshi - Active Inference

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

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

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

    Published: 10/12/2024
15. Bold AI Predictions From Cohere Co-founder

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

    Published: 10/4/2024
17. Ben Goertzel on "Superintelligence"

    Published: 10/1/2024
18. Taming Silicon Valley - Prof. Gary Marcus

    Published: 9/24/2024
19. Prof. Mark Solms - The Hidden Spring

    Published: 9/18/2024
20. Patrick Lewis (Cohere) - Retrieval Augmented Generation

    Published: 9/16/2024