#75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI

Marcus Hutter is a senior research scientist at DeepMind and professor at Australian National University. Throughout his career of research, including with Jürgen Schmidhuber and Shane Legg, he has proposed a lot of interesting ideas in and around the field of artificial general intelligence, including the development of the AIXI model which is a mathematical approach to AGI that incorporates ideas of Kolmogorov complexity, Solomonoff induction, and reinforcement learning. EPISODE LINKS: Hutter Prize: http://prize.hutter1.net Marcus web: http://www.hutter1.net Books mentioned: – Universal AI: https://amzn.to/2waIAuw – AI: A Modern Approach: https://amzn.to/3camxnY – Reinforcement Learning: https://amzn.to/2PoANj9 – Theory of Knowledge: https://amzn.to/3a6Vp7x This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter , LinkedIn , Facebook , Medium , or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts , follow on Spotify , or support it on Patreon . This episode is presented by Cash App. Download it ( App Store , Google Play ), use code “LexPodcast”. Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. OUTLINE: 00:00 – Introduction 03:32 – Universe as a computer 05:48 – Occam’s razor 09:26 – Solomonoff induction 15:05 – Kolmogorov complexity 20:06 – Cellular automata 26:03 – What is intelligence? 35:26 – AIXI – Universal Artificial Intelligence 1:05:24 – Where do rewards come from? 1:12:14 – Reward function for human existence 1:13:32 – Bounded rationality 1:16:07 – Approximation in AIXI 1:18:01 – Godel machines 1:21:51 – Consciousness 1:27:15 – AGI community 1:32:36 – Book recommendations 1:36:07 – Two moments to relive (past and future)