Tom Barnes joins the podcast to discuss how much the world spends on AI capabilities versus AI safety, how governments can prepare for advanced AI, and how to build a more resilient world.
Tom Barnes joins the podcast to discuss how much the world spends on AI capabilities versus AI safety, how governments can prepare for advanced AI, and how to build a more resilient world.
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.
