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Audio note: this article contains 42 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description.
I believe that the theoretical foundations of the AIXI agent and variations are a surprisingly neglected and high leverage approach to agent foundations research. Though discussion of AIXI is pretty ubiquitous in A.I. safety spaces, underscoring AIXI's usefulness as a model of superintelligence, this is usually limited to poorly justified verbal claims about its behavior which are sometimes questionable or wrong. This includes, in my opinion, a serious exaggeration of AIXI's flaws. For instance, in a recent post I proposed a simple extension of AIXI off-policy that seems to solve the anvil problem in practice - in fact, in my opinion it has never been convincingly argued that the anvil problem would occur for an AIXI approximation. The [...]
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Outline:
(04:46) Computability Foundations
(06:35) Semimeasure Theory
(08:58) Algorithmic Probability Foundations
(10:58) AIXI Generalizations
(14:40) Scaffolding the Universal Distribution
(18:25) Embedded Versions of AIXI
The original text contained 6 footnotes which were omitted from this narration.
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First published:
Source:
Narrated by TYPE III AUDIO.
By LessWrong
Audio note: this article contains 42 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description.
I believe that the theoretical foundations of the AIXI agent and variations are a surprisingly neglected and high leverage approach to agent foundations research. Though discussion of AIXI is pretty ubiquitous in A.I. safety spaces, underscoring AIXI's usefulness as a model of superintelligence, this is usually limited to poorly justified verbal claims about its behavior which are sometimes questionable or wrong. This includes, in my opinion, a serious exaggeration of AIXI's flaws. For instance, in a recent post I proposed a simple extension of AIXI off-policy that seems to solve the anvil problem in practice - in fact, in my opinion it has never been convincingly argued that the anvil problem would occur for an AIXI approximation. The [...]
---
Outline:
(04:46) Computability Foundations
(06:35) Semimeasure Theory
(08:58) Algorithmic Probability Foundations
(10:58) AIXI Generalizations
(14:40) Scaffolding the Universal Distribution
(18:25) Embedded Versions of AIXI
The original text contained 6 footnotes which were omitted from this narration.
---
First published:
Source:
Narrated by TYPE III AUDIO.

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