246 Epizód

  1. Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu

    Közzétéve: 2025. 03. 01.

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

    Közzétéve: 2025. 02. 19.

  3. Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?

    Közzétéve: 2025. 02. 18.

  4. Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners

    Közzétéve: 2025. 02. 12.

  5. Sepp Hochreiter - LSTM: The Comeback Story?

    Közzétéve: 2025. 02. 12.

  6. Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

    Közzétéve: 2025. 02. 08.

  7. Nicholas Carlini (Google DeepMind)

    Közzétéve: 2025. 01. 25.

  8. Subbarao Kambhampati - Do o1 models search?

    Közzétéve: 2025. 01. 23.

  9. How Do AI Models Actually Think? - Laura Ruis

    Közzétéve: 2025. 01. 20.

  10. Jurgen Schmidhuber on Humans co-existing with AIs

    Közzétéve: 2025. 01. 16.

  11. Yoshua Bengio - Designing out Agency for Safe AI

    Közzétéve: 2025. 01. 15.

  12. Francois Chollet - ARC reflections - NeurIPS 2024

    Közzétéve: 2025. 01. 09.

  13. Jeff Clune - Agent AI Needs Darwin

    Közzétéve: 2025. 01. 04.

  14. Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

    Közzétéve: 2024. 12. 07.

  15. Jonas Hübotter (ETH) - Test Time Inference

    Közzétéve: 2024. 12. 01.

  16. How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)

    Közzétéve: 2024. 11. 25.

  17. Nora Belrose - AI Development, Safety, and Meaning

    Közzétéve: 2024. 11. 17.

  18. Why Your GPUs are underutilised for AI - CentML CEO Explains

    Közzétéve: 2024. 11. 13.

  19. Eliezer Yudkowsky and Stephen Wolfram on AI X-risk

    Közzétéve: 2024. 11. 11.

  20. Pattern Recognition vs True Intelligence - Francois Chollet

    Közzétéve: 2024. 11. 06.

3 / 13

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/).

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