2min chapter

AXRP - the AI X-risk Research Podcast cover image

5 - Infra-Bayesianism with Vanessa Kosoy

AXRP - the AI X-risk Research Podcast

CHAPTER

Is There a Convex Set of Distributions for Hypotheses?

The idea that i'm going to be basely just abasion over these hypotheses, and how the hypotheses internally behave is determined by this maximin. I n like the ther multiple ways you can think about it. One way you can think of it is that your expected utility, your prior expected utility, is take expectation over your prior over hypotisis. And so you get an ou convict set. So jest, just like an ordinary basionis right? You have a set of hypotheses. Each hypotesis is a probility distribution. Or you can equivalently, just take all those convict sets and combine it into one convict set.

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