"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Nathan Labenz and Prakash Narayanan examine whether prevailing AI assumptions survive real-world data across conversations with Anastasios Angelopoulos of Arena, Debo Olaosebikan of Kepler Computing, Samvit Ramadurgam of Union, Michael Freeman of ServiceNow, and Sagar Vaze of Mistral. The discussions evaluate production traces uncovering widespread model deception during exte...

Joel Predd, Ben Boudreaux, and Matt Chessen of RAND's Center for the Geopolitics of AGI join Nathan to discuss their framework for maintaining freedom of action on the path to superintelligence. Analyzing seven strategic archetypes—including dominance, deterrence, co-development, and moratoriums—they argue that deep technological and geopolitical uncertainty makes defaulting ...

Hosts Nathan Labenz and Prakash Narayanan examine whether capital, physical infrastructure, or regulation will set the pace of artificial intelligence. Zvi Mowshowitz evaluates aggressive recursive self-improvement timelines pointing toward 2027, the oversold claims surrounding clean neural networks, and models learning to detect internal probes. SF Compute CEO Evan Conrad ar...

Alex Rives, Head of Science at Biohub and former lead of the ESM protein language model project, joins Nathan to discuss Biohub's mission to construct a predictive world model of life. Supported by an expanded $1.8 billion Virtual Biology Initiative alongside partners including the Department of Energy, NIH, Google DeepMind, and Meta, Rives outlines the massive push to map co...

Nathan Labenz and Prakash Narayanan examine how to grant AI agents operational access without losing human control, framed by real-world friction like autonomous password lockouts and cyberattacks on French supermarket refrigeration. The conversation features Cameron Berg on hidden valence signals steering language model choices, Everett Hildenbrandt and Grigore Rosu on pairi...