Machine Learning Street Talk (MLST)

The Compendium - Connor Leahy and Gabriel Alfour

ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)

Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)

GSMSymbolic paper - Iman Mirzadeh (Apple)

Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)

Tau Language: The Software Synthesis Future (sponsored)

John Palazza - Vice President of Global Sales @ CentML

Transformers Need Glasses! - Federico Barbero

Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu

This podcast discusses the use of Large Language Models (LLMs) in automating scientific discovery. The conversation flows through introductions, presentations of three research papers (DiscoPOP, LLMs as evolution strategies, and Automated Design of Agentic Systems), and a discussion of the implications of using LLMs f...

Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?

Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?

Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners

Sepp Hochreiter - LSTM: The Comeback Story?

Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

Nicholas Carlini (Google DeepMind)

Subbarao Kambhampati - Do o1 models search?

How Do AI Models Actually Think? - Laura Ruis

Jurgen Schmidhuber on Humans co-existing with AIs

Yoshua Bengio - Designing out Agency for Safe AI

Francois Chollet - ARC reflections - NeurIPS 2024