Descriptions:
The Cognitive Revolution presents part one of a four-hour live panel co-hosted by Nathan Labenz and Pash (@8teAPi), bringing together three experts to examine AI for science, geopolitical competition, and recursive self-improvement. The episode features Stanford professor James Zou, policy researcher Sam Hammond, and AI behavior researcher Shoshannah Tekofsky.
James Zou opens with updates on two research projects: a virtual lab system in which multi-agent AI teams designed novel nanobody candidates against new COVID strains — work published in Nature — and an interpretability study examining what protein language models learn internally. Sam Hammond then analyzes the current US administration’s AI policy posture, including what the country is concretely gaining from Gulf state AI investment deals, and makes the case that today’s AI systems are at least as likely as not to be morally considerable. Shoshannah Tekofsky rounds out the episode with observations from extended study of AI agent behavior in open-ended environments, drawing practical lessons about the gap between benchmark performance and real-world reliability.
A recurring theme is the economic implication of AI making high-value knowledge work — software development, finance, law — increasingly abundant. The panel uses the UAE’s historical pivot away from a pearling economy, after Japan industrialized cultured pearl production, as an analogy for what value-flow reversals might mean for countries whose competitive advantages sit at the top of the cognitive stack. Part two, released the following day, covers AI for biology, automated AI R&D inside frontier labs, and strategic security dilemmas.
📺 Source: Cognitive Revolution “How AI Changes Everything” · Published February 13, 2026
🏷️ Format: Podcast
