Google AlphaEvolve - Discovering new science (exclusive interview)
Today GoogleDeepMind released AlphaEvolve: a Gemini coding agent for algorithm discovery. It beat the famous Strassen algorithm for matrix multiplicat...
Prof. Randall Balestriero - LLMs without pretraining and SSL
Randall Balestriero joins the show to discuss some counterintuitive findings in AI. He shares research showing that huge language models, even when st...
How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)
Prof. Kevin Ellis and Dr. Zenna Tavares talk about making AI smarter, like humans. They want AI to learn from just a little bit of information by acti...
Eiso Kant (CTO poolside) - Superhuman Coding Is Coming!
Eiso Kant, CTO of poolside AI, discusses the company's approach to building frontier AI foundation models, particularly focused on software developmen...
The Compendium - Connor Leahy and Gabriel Alfour
Connor Leahy and Gabriel Alfour, AI researchers from Conjecture and authors of "The Compendium," joinus for a critical discussion centered on Artifici...
ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)
We are joined by Francois Chollet and Mike Knoop, to launch the new version of the ARC prize! In version 2, the challenges have been calibrated with h...
Test-Time Adaptation: the key to reasoning with DL (Mohamed Osman)
Mohamed Osman joins to discuss MindsAI's highest scoring entry to the ARC challenge 2024 and the paradigm of test-time fine-tuning. They explore how t...
GSMSymbolic paper - Iman Mirzadeh (Apple)
Iman Mirzadeh from Apple, who recently published the GSM-Symbolic paper discusses the crucial distinction between intelligence and achievement in AI s...
Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)
Dr. Max Bartolo from Cohere discusses machine learning model development, evaluation, and robustness. Key topics include model reasoning, the DynaBenc...
Tau Language: The Software Synthesis Future (sponsored)
This sponsored episode features mathematician Ohad Asor discussing logical approaches to AI, focusing on the limitations of machine learning and intro...