#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
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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)