The Trajectory Stuart Russell - Avoiding the Cliff of Uncontrollable AI (AGI Governance, Episode 9)
11 snips
Sep 12, 2025 
Stuart Russell, a Professor of Computer Science at UC Berkeley and author of 'Human Compatible,' dives deep into the urgent need for AGI governance. He likens the current AI race dynamics to a prisoner's dilemma, stressing why governments must outline enforceable red lines. The discussion also highlights the critical role of international cooperation in establishing ethical frameworks. Russell emphasizes that navigating the complexities of AI safety requires a global consensus, mirroring the lessons learned from historical aviation safety.
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Public Foretaste Changed The Game
- Large language models shifted AGI from niche theory to widely perceived near-term reality.
- Millions now experience a “general-purpose intelligence” foretaste, changing incentives for developers and policymakers.
Self-Improvement Drives Acceleration Risk
- Major AI companies are investing unprecedented sums to create AGI that can improve itself.
- That capability risks rapid, hard-to-control acceleration of AI improvements.
AI Race Is A Prisoner’s Dilemma
- Developers feel locked in a prisoner’s dilemma: stopping benefits everyone but each fears losing competitive advantage.
- This dynamic prevents unilateral safety pauses without enforceable coordination.
