14 - Infra-Bayesian Physicalism with Vanessa Kosoy
AXRP - the AI X-risk Research Podcast
Bayesian Updates in the Even and Odd Bits Scenario?
In the even and odd bits scenario, one thing that could go wrong is it could be the case that actually like on the odd days, one thirds of the bits are one and two thirds of thebits are zero. That wouldn't be absolutely continuous with respect to my Bayesian prior, but it might still be in the convex set in the information setting. So if your prior just does not have like, you can assume that the things you don't know are distributed uniform, but in reality, they're not distributed uniform. They're distributed in some other way. And then you're just not going to like, what happens is that, suppose you have set several hypothesis about what is
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