Samuel Alexander: Reward-punishment symmetric universal intelligence
14:56
Paris Flood: Perspectives on Algorithmic Information Theory and Evolution
1:11:35
M. Hutter: Intro. to Algorithmic Information Theory and Universal Learning, Symposium on ML & AIT.
21:36
Amir Joudaki: Entropy Maximization with Depth: A Variational Principle for Random Neural Networks
22:43
How might LLMs store facts | DL7
1:10:51
K. Dingle and A. Louis: Why the world is simple ? The AIT coding theorem.
19:32
Reinforcement Learning - My Algorithm vs State of the Art
1:03:03
NVIDIA CEO Jensen Huang's Vision for the Future
18:26