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

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

Lex Fridman Podcast vor 6 Jahren

0:00

1:40:23

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
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where you can watch the video versions of these conversations. If
you enjoy the podcast, please rate it 5 stars on Apple Podcasts,
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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)