Epistemic status: While I am specialized in this topic, my career incentivizes may bias me towards a positive assessment of AIXI theory. I am also discussing something that is still a bit speculative, since we do not yet have ASI. While basic knowledge of AIXI is the only strict prerequisite, I suggest reading cognitive tech from AIT before this post for context.

AIXI is often used as a negative example by agent foundations (AF) researchers who disagree with its conceptual framework, which many direct critiques listed and addressed here. An exception is Michael Cohen, who has spent most of his career working on safety in the AIXI setting.

But many top ML researchers seem to have a more positive view, e.g. Ilya Sutskever has advocated algorithmic information theory for understanding generalization, Shane Legg studied AIXI before cofounding DeepMind, and now the startup Q labs is explicitly motivated by Solomonoff induction. The negative examples are presumably less salient (e.g. disinterest, unawareness) which may explain why I can't come up with any high-quality critiques from ML. But I conjecture that AIXI is viewed somewhat favorably among ML-minded safety researchers (who are aware of it) or at least that the ML [...]

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Outline:

(02:39) X-Risk

(03:52) Access Level

(11:43) Conclusion

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Narrated by TYPE III AUDIO.