Machine Learning Street Talk (MLST)

232 Episodes

1. New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman

   Published: 9/27/2025
2. Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)

   Published: 9/19/2025
3. Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

   Published: 9/10/2025
4. The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)

   Published: 9/4/2025
5. Michael Timothy Bennett: Defining Intelligence and AGI Approaches

   Published: 8/28/2025
6. Superintelligence Strategy (Dan Hendrycks)

   Published: 8/14/2025
7. DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)

   Published: 8/5/2025
8. Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)

   Published: 7/31/2025
9. Pushing compute to the limits of physics

   Published: 7/21/2025
10. The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)

    Published: 7/6/2025
11. The Fractured Entangled Representation Hypothesis (Intro)

    Published: 7/5/2025
12. Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)

    Published: 6/24/2025
13. How AI Learned to Talk and What It Means - Prof. Christopher Summerfield

    Published: 6/17/2025
14. "Blurring Reality" - Chai's Social AI Platform (SPONSORED)

    Published: 5/26/2025
15. Google AlphaEvolve - Discovering new science (exclusive interview)

    Published: 5/14/2025
16. Prof. Randall Balestriero - LLMs without pretraining and SSL

    Published: 4/23/2025
17. How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

    Published: 4/8/2025
18. Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!

    Published: 4/2/2025
19. The Compendium - Connor Leahy and Gabriel Alfour

    Published: 3/30/2025
20. ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)

    Published: 3/24/2025