Dan Faggella joins the podcast to discuss whether humanity should eventually create AGI, how AI will change power dynamics between institutions, what drives AI progress, and which industries are implementing AI successfully.
Dan Faggella joins the podcast to discuss whether humanity should eventually create AGI, how AI will change power dynamics between institutions, what drives AI progress, and which industries are implementing AI successfully. Find out more about Dan at https://danfaggella.com Timestamps: 00:00 Value differences in AI 12:07 Should we eventually create AGI? 28:22 What is a worthy successor? 43:19 AI changing power dynamics 59:00 Open source AI 01:05:07 What drives AI progress? 01:16:36 What limits AI progress? 01:26:31 Which industries are using AI?
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.
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.
