Machine Learning Street Talk (MLST)

190 Episodes

1. Dr. Thomas Parr - Active Inference Book

   Published: 5/1/2024
2. Connor Leahy - e/acc, AGI and the future.

   Published: 4/21/2024
3. Prof. Chris Bishop's NEW Deep Learning Textbook!

   Published: 4/10/2024
4. Philip Ball - How Life Works

   Published: 4/7/2024
5. Dr. Paul Lessard - Categorical/Structured Deep Learning

   Published: 4/1/2024
6. Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter

   Published: 3/20/2024
7. Prof. Nick Chater - The Language Game (Part 1)

   Published: 3/1/2024
8. Kenneth Stanley created a new social network based on serendipity and divergence

   Published: 2/28/2024
9. Dr. Brandon Rohrer - Robotics, Creativity and Intelligence

   Published: 2/13/2024
10. Showdown Between e/acc Leader And Doomer - Connor Leahy + Beff Jezos

    Published: 2/3/2024
11. Mahault Albarracin - Cognitive Science

    Published: 1/14/2024
12. $450M AI Startup In 3 Years | Chai AI

    Published: 1/9/2024
13. DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya

    Published: 1/7/2024
14. Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]

    Published: 12/26/2023
15. Prof. BERT DE VRIES - ON ACTIVE INFERENCE

    Published: 11/20/2023
16. MULTI AGENT LEARNING - LANCELOT DA COSTA

    Published: 11/5/2023
17. THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]

    Published: 10/29/2023
18. DR. JEFF BECK - THE BAYESIAN BRAIN

    Published: 10/16/2023
19. Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!

    Published: 9/10/2023
20. Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead

    Published: 9/5/2023