On this special episode of the podcast, Flo Crivello talks with Nathan Labenz about AI as a new form of life, whether attempts to regulate AI risks regulatory capture, how a GPU kill switch could work, and why Flo expects AGI in 2-8 years.
On this special episode of the podcast, Flo Crivello talks with Nathan Labenz about AI as a new form of life, whether attempts to regulate AI risks regulatory capture, how a GPU kill switch could work, and why Flo expects AGI in 2-8 years. Timestamps: 00:00 Technological progress 07:59 Regulatory capture and AI 11:53 AI as a new form of life 15:44 Can AI development be paused? 20:12 Biden's executive order on AI 22:54 How would a GPU kill switch work? 27:00 Regulating models or applications? 32:13 AGI in 2-8 years 42:00 China and US collaboration on AI
Peter Wildeford discusses methods for forecasting AI progress and why he sees AI as neither a bubble nor a normal technology, covering economic effects, national security, cyber capabilities, robotics, export controls, and prediction markets.
Physician-scientist Emilia Javorsky argues that curing cancer is limited more by biology’s complexity, data quality, and incentives than by intelligence, and explores realistic uses of AI in drug development, trials, and reducing medical bureaucracy.
Emilia Javorsky explores how AI can realistically aid cancer research, where current hype exceeds evidence, and what changes researchers, policymakers, and funders must make to turn AI advances into real clinical impact.
