Jason Crawford joins the podcast to discuss the history of progress, the future of economic growth, and the relationship between progress and risks from AI.
Jason Crawford joins the podcast to discuss the history of progress, the future of economic growth, and the relationship between progress and risks from AI. You can read more about Jason's work at https://rootsofprogress.org Timestamps: 00:00 Eras of human progress 06:47 Flywheels of progress 17:56 Main causes of progress 21:01 Progress and risk 32:49 Safety as part of progress 45:20 Slowing down specific technologies? 52:29 Four lenses on AI risk 58:48 Analogies causing disagreement 1:00:54 Solutionism about AI 1:10:43 Insurance, subsidies, and bug bounties for AI risk 1:13:24 How is AI different from other technologies? 1:15:54 Future scenarios of economic growth
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.
Inria researcher Carina Prunkl discusses why AI evaluation struggles to keep pace with general-purpose systems, including jagged capabilities, missed real-world behavior, misuse risks, de-skilling, red teaming, and layered safeguards.
Li-Lian Ang from Blue Dot Impact discusses how to build a workforce to defend against AI-driven risks, including engineered pandemics, cyber attacks, job disempowerment, and concentrated power, using a defense-in-depth framework for uncertain AI progress.
