Machine Learning Street Talk (MLST)

205 Episodes

1. Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?

   Published: 2/19/2025
2. Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?

   Published: 2/18/2025
3. Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners

   Published: 2/12/2025
4. Sepp Hochreiter - LSTM: The Comeback Story?

   Published: 2/12/2025
5. Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

   Published: 2/8/2025
6. Nicholas Carlini (Google DeepMind)

   Published: 1/25/2025
7. Subbarao Kambhampati - Do o1 models search?

   Published: 1/23/2025
8. How Do AI Models Actually Think? - Laura Ruis

   Published: 1/20/2025
9. Jurgen Schmidhuber on Humans co-existing with AIs

   Published: 1/16/2025
10. Yoshua Bengio - Designing out Agency for Safe AI

    Published: 1/15/2025
11. Francois Chollet - ARC reflections - NeurIPS 2024

    Published: 1/9/2025
12. Jeff Clune - Agent AI Needs Darwin

    Published: 1/4/2025
13. Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

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

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

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

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

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

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

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

    Published: 11/4/2024