Samuel Hammond joins the podcast to discuss how AGI will transform economies, governments, institutions, and other power structures. You can read Samuel's blog at https://www.secondbest.ca Timestamps: 00:00 Is AGI close? 06:56 Compute versus data 09:59 Information theory 20:36 Universality of learning 24:53 Hards steps in evolution 30:30 Governments and advanced AI 40:33 How will AI transform the economy? 55:26 How will AI change transaction costs? 1:00:31 Isolated thinking about AI 1:09:43 AI and Leviathan 1:13:01 Informational resolution 1:18:36 Open-source AI 1:21:24 AI will decrease state power 1:33:17 Timeline of a techno-feudalist future 1:40:28 Alignment difficulty and AI scale 1:45:19 Solving robotics 1:54:40 A constrained Leviathan 1:57:41 An Apollo Project for AI safety 2:04:29 Secure "gain-of-function" AI research 2:06:43 Is the market expecting AGI soon?
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.
