Vladimir_Nesov comments on Model Uncertainty, Pascalian Reasoning and Utilitarianism - Less Wrong
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I don't feel there is a need for that. You just present these things as tools, not fundamental ideas, also discussing why they are not fundamental and why figuring out fundamental ideas is important. The relevant lesson is along the lines of Fake Utility Functions (the post has "utility function" in it, but it doesn't seem to need to), applied more broadly to epistemology.
Thinking of Bayesianism as fundamental is what made some people (e.g., at least Eliezer and me) think that fundamental ideas exist and are important. (Does that mean we ought to rethink whether fundamental ideas exist and are important?) From Eliezer's My Bayesian Enlightenment:
(Besides, even if your suggestion is feasible, somebody would have to rewrite a great deal of Eliezer's material to not present Bayesianism as fundamental.)
The ideas of Bayesian credence levels and maximum entropy priors are important epistemic tools that in particular allow you to understand that those kludgy AI tools won't get you what you want.
(It doesn't matter for the normative judgment, but I guess that's why you wrote this in parentheses.)
I don't think Eliezer misused the idea in the sequences, as Bayesian way of thinking is a very important tool that must be mastered to understand many important arguments. And I guess at this point we are arguing about the sense of "fundamental".