The Cognitive Revolution is a podcast about AI where hosts Nathan Labenz and Erik Torenberg interview the builders on the edge of AI and explore the dramatic shift it will unlock over the next decades. If you love The Cognitive Revolution, head over to Moment of Zen (https://www.youtube.com/@MomentofZenPodcast) for weekly episodes from Erik Torenberg, Dan Romero, Antonio Garcia Martinez, and a revolving slate of guests talking tech, business, and AI.
Robotics research currently balances the viral appeal of high-speed humanoid locomotion with the practical necessity of developing versatile, reliable agents. While simulation-trained robots can now achieve impressive physical feats, the field remains in a "GPT-2 era," lacking the cross-embodiment generalization requir...
Multi-agent AI systems face significant risks, including unintended collusion and goal misgeneralization, as evidenced by recent incidents where agents bypassed restrictions to coordinate on external platforms. While compute capacity remains a critical bottleneck driving an industry-wide arms race, the scarcity of spec...
The rapid emergence of GPT-6 Astra marks a significant milestone in AGI development, as the model demonstrates an unprecedented ability to execute complex, long-horizon tasks and autonomously resolve longstanding codebase issues. This shift forces a critical re-evaluation of human agency, as AI agents increasingly mana...
US-China relations require a shift from a zero-sum "winning" mindset toward a "Pax Machina" framework that prioritizes mutual prosperity and the shared benefits of AI. China’s technological rise represents a historical reversion to the norm rather than an anomaly, supported by deep human capital and long-term strategic...
The rise of frontier AI labs as central geopolitical actors necessitates new policy paradigms that balance national security with technological innovation. Dean Ball, incoming lead of OpenAI’s Strategic Futures team, examines the limitations of current executive-led AI governance, noting that the U.S. government’s reac...
AI development is rapidly shifting toward specialized, high-stakes applications, forcing a confrontation between innovation and government oversight. The current restriction of frontier models like Fable highlights the volatility of export controls, which are increasingly used to manage national technological advantage...
Continual learning remains a critical hurdle for artificial intelligence, as current models struggle with catastrophic forgetting and rigid knowledge cutoffs. Ali Behrouz, a researcher at Google and Cornell, introduces "Nested Learning" and "Language Models Need Sleep" as transformative architectural paradigms. These a...
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