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 multiplication set 56 years ago. Google has been killing it r...
14 Touko 20251h 13min
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 started from scratch (randomly initialized) without ...
23 Huhti 202534min
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 actively trying things out, not just by looking at ton...
8 Huhti 20251h 16min
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 development. Their unique strategy is reinforcement learning...
2 Huhti 20251h 36min
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 Artificial Superintelligence (ASI) safety and governance. ...
30 Maalis 20251h 37min
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 humans such that at least 2 humans could solve each...
24 Maalis 202554min
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 the team, now part of Tufa Labs in Zurich, achieved...
22 Maalis 20251h 3min
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 systems. He critiques current AI research methodolo...
19 Maalis 20251h 11min
