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Marcus Hutter is a senior research scientist at DeepMind and professor at Australian National University. Throughout his career of research, including with J\xfcrgen 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.
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\nEPISODE LINKS:
\nHutter Prize: http://prize.hutter1.net
\nMarcus web: http://www.hutter1.net
\nBooks mentioned:
\n- Universal AI: https://amzn.to/2waIAuw
\n- AI: A Modern Approach: https://amzn.to/3camxnY
\n- Reinforcement Learning: https://amzn.to/2PoANj9
\n- Theory of Knowledge: https://amzn.to/3a6Vp7x
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\nThis conversation is part of the Artificial Intelligence podcast.\xa0If 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.
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\nThis episode is presented by Cash App. Download it (App Store, Google Play), use code "LexPodcast".\xa0
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\nHere's the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.
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\nOUTLINE:
\n00:00 - Introduction
\n03:32 - Universe as a computer
\n05:48 - Occam's razor
\n09:26 - Solomonoff induction
\n15:05 - Kolmogorov complexity
\n20:06 - Cellular automata
\n26:03 - What is intelligence?
\n35:26 - AIXI - Universal Artificial Intelligence
\n1:05:24 - Where do rewards come from?
\n1:12:14 - Reward function for human existence
\n1:13:32 - Bounded rationality
\n1:16:07 - Approximation in AIXI
\n1:18:01 - Godel machines
\n1:21:51 - Consciousness
\n1:27:15 - AGI community
\n1:32:36 - Book recommendations
\n1:36:07 - Two moments to relive (past and future)