Machine Learning Street Talk (MLST)

233 Episoder

1. AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)

   Udgivet: 4.10.2025
2. New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman

   Udgivet: 27.9.2025
3. Deep Learning is Not So Mysterious or Different - Prof. Andrew Gordon Wilson (NYU)

   Udgivet: 19.9.2025
4. Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

   Udgivet: 10.9.2025
5. The Day AI Solves My Puzzles Is The Day I Worry (Prof. Cristopher Moore)

   Udgivet: 4.9.2025
6. Michael Timothy Bennett: Defining Intelligence and AGI Approaches

   Udgivet: 28.8.2025
7. Superintelligence Strategy (Dan Hendrycks)

   Udgivet: 14.8.2025
8. DeepMind Genie 3 [World Exclusive] (Jack Parker Holder, Shlomi Fruchter)

   Udgivet: 5.8.2025
9. Large Language Models and Emergence: A Complex Systems Perspective (Prof. David C. Krakauer)

   Udgivet: 31.7.2025
10. Pushing compute to the limits of physics

    Udgivet: 21.7.2025
11. The Fractured Entangled Representation Hypothesis (Kenneth Stanley, Akarsh Kumar)

    Udgivet: 6.7.2025
12. The Fractured Entangled Representation Hypothesis (Intro)

    Udgivet: 5.7.2025
13. Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)

    Udgivet: 24.6.2025
14. How AI Learned to Talk and What It Means - Prof. Christopher Summerfield

    Udgivet: 17.6.2025
15. "Blurring Reality" - Chai's Social AI Platform (SPONSORED)

    Udgivet: 26.5.2025
16. Google AlphaEvolve - Discovering new science (exclusive interview)

    Udgivet: 14.5.2025
17. Prof. Randall Balestriero - LLMs without pretraining and SSL

    Udgivet: 23.4.2025
18. How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

    Udgivet: 8.4.2025
19. Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!

    Udgivet: 2.4.2025
20. The Compendium - Connor Leahy and Gabriel Alfour

    Udgivet: 30.3.2025