Introduction

What would life look like in a fully automated world? How would we derive meaning in a world of superintelligence? Today's Win-Win episode is all about utopias, dystopias and thought experiments, because I'm talking to Professor Nick Bostrom. Nick is one of the world’s leading philosophers - he's a leading thinker on the nature of consciousness, AI, catastrophic risks, cosmology… he’s also the guy behind the Simulation Hypothesis, the Paperclip Maximizer thought experiment, the seminal AI book Superintelligence... Off into the hypotheti-sphere we go! Chapters 0:00 - Intro 01:42 - Why a book on Utopia? 03:31 - Different types of Utopias 11:40 - How to find purpose in a solved world? 18:31 - Potential Limits to Technology 22:34 - How would Utopians approach Competition? 30:24 - Superintelligence 34:39 - Vulnerable World Hypothesis 39:48 - Thinking in Superpositions 41:24 - Solutions to the Vulnerable World? 46:34 - Aligning Markets to Defensive Tech 48:43 - Digital Minds & Uploading 52:25 - AI Consciousness 55:08 - Outro Links: Nick’s Website - https://nickbostrom.com/ Anthropic Bias Paper - https://anthropic-principle.com/ Deep Utopia Book - https://nickbostrom.com/booklink/deep... Superintelligence book - Superintelligence: Paths, Dangers, Strategies Vulnerable World Hypothesis - https://nickbostrom.com/papers/vulner... Orthogonality Thesis - https://nickbostrom.com/superintellig... Simulation Argument - https://simulation-argument.com/ Digital Minds - https://nickbostrom.com/papers/intere... Future of Humanity Institute - https://www.fhi.ox.ac.uk/ The Win-Win Podcast: Poker champion Liv Boeree takes to the interview chair to tease apart the complexities of one of the most fundamental parts of human nature: competition. Liv is joined by top philosophers, gamers, artists, technologists, CEOs, scientists, athletes and more to understand how competition manifests in their world, and how to change seemingly win-lose games into Win-Wins. Credits ♾️  Hosted by Liv Boeree & Igor Kurganov ♾️  Produced & Edited by Raymond Wei ♾️  Audio Mix by Keir Schmidt