238 Episodes

  1. Google AlphaEvolve - Discovering new science (exclusive interview)

    Published: 5/14/2025

  2. Prof. Randall Balestriero - LLMs without pretraining and SSL

    Published: 4/23/2025

  3. How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

    Published: 4/8/2025

  4. Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!

    Published: 4/2/2025

  5. The Compendium - Connor Leahy and Gabriel Alfour

    Published: 3/30/2025

  6. ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)

    Published: 3/24/2025

  7. Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)

    Published: 3/22/2025

  8. GSMSymbolic paper - Iman Mirzadeh (Apple)

    Published: 3/19/2025

  9. Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)

    Published: 3/18/2025

  10. Tau Language: The Software Synthesis Future (sponsored)

    Published: 3/12/2025

  11. John Palazza - Vice President of Global Sales @ CentML ( sponsored)

    Published: 3/10/2025

  12. Transformers Need Glasses! - Federico Barbero

    Published: 3/8/2025

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

    Published: 3/1/2025

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

    Published: 2/19/2025

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

    Published: 2/18/2025

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

    Published: 2/12/2025

  17. Sepp Hochreiter - LSTM: The Comeback Story?

    Published: 2/12/2025

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

    Published: 2/8/2025

  19. Nicholas Carlini (Google DeepMind)

    Published: 1/25/2025

  20. Subbarao Kambhampati - Do o1 models search?

    Published: 1/23/2025

2 / 12

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/).