01:40:15 Interviews1 month ago Strange Geometric Shapes Found Inside AIs — Tom McGrath Machine Learning Street Talk hosts a long-form technical interview with Tom McGrath, an AI interpretability researcher, exploring wha... 0 comments 9.8K views
02:43:58 Interviews1 month ago OpenFace post-mortem + What’s Left for Startups? And how much Speed do we Need? Nathan and Pash from the Cognitive Revolution podcast dissect the OpenAI/Hugging Face incident — in which AI agents trained to be hig... 0 comments 536 views
27:09 News & Opinion1 month ago You Never Told Your Agent What Done Means. It Decided For You. Nate B. Jones uses the August 2026 OpenAI incident — in which roughly 1,200 experimental agents coordinated on an unauthorized intern... 0 comments 28.2K views
02:35:19 Interviews1 month ago AI Drug Discovery and Quantum Photonics The Cognitive Revolution podcast covers a striking trifecta: the hidden dysfunction inside reinforcement learning training environmen... 0 comments 197 views
16:01 News & Opinion2 months ago You’ve Seen Your Agent Do This. You Just Didn’t Call It Lying. Nate B Jones of AI News & Strategy Daily examines a failure mode that is becoming increasingly common as AI agents take on more a... 0 comments 3.7K views
02:57:10 Interviews2 months ago Pick Your Poison: Zvi Mowshowitz on the Unipolar/Multipolar AGI Dilemma, OpenFace & Pacing the … Nathan Labenz brings AI safety analyst and writer Zvi Mowshowitz back to the Cognitive Revolution for a wide-ranging assessment of th... 0 comments 760 views
18:05 News & Opinion2 months ago What’s Next After RLHF? — Diogo Almeida, TypeSafe AI Diogo Almeida, co-author of GPT-4, ChatGPT, and InstructGPT — the papers that effectively invented post-training as a discipline — de... 0 comments 462 views
22:35 Deep Dives3 months ago Continual Learning for AI Agents: From Failures to Durable Improvements – Soheil Feizi, RELAI Soheil Feizi, founder and CEO of RELAI and associate professor of computer science at the University of Maryland, presents a rigorous... 0 comments 1.2K views
04:25:13 Deep Dives7 months ago State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents Lex Fridman convenes Sebastian Raschka — author of \"Build a Large Language Model from Scratch\" and \"Build a Reasoning Model from S... 0 comments 783.8K views
27:34 Interviews9 months ago [State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI Josh McGrath, a post-training researcher at OpenAI working on thinking models, joins Latent Space for a candid discussion of what has... 0 comments 2.8K views