Lex Fridman Podcast
#75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI
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Show Notes
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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 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.
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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:
– Introduction
– Universe as a computer
– Occam’s razor
– Solomonoff induction
– Kolmogorov complexity
– Cellular automata
– What is intelligence?
– AIXI – Universal Artificial Intelligence
– Where do rewards come from?
– Reward function for human existence
– Bounded rationality
– Approximation in AIXI
– Godel machines
– Consciousness
– AGI community
– Book recommendations
– Two moments to relive (past and future)
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