Machine Learning Street Talk (MLST)

217 Episodes

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

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

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

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

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

   Published: 3/24/2025
6. Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)

   Published: 3/22/2025
7. GSMSymbolic paper - Iman Mirzadeh (Apple)

   Published: 3/19/2025
8. Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)

   Published: 3/18/2025
9. Tau Language: The Software Synthesis Future (sponsored)

   Published: 3/12/2025
10. John Palazza - Vice President of Global Sales @ CentML ( sponsored)

    Published: 3/10/2025
11. Transformers Need Glasses! - Federico Barbero

    Published: 3/8/2025
12. Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu

    Published: 3/1/2025
13. Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?

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

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

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

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

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

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

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

    Published: 1/20/2025