This thread by @fchollet, applied to Bayesianism, is the basic counterargument to the last ten years of “AGI as existential threat”.https://twitter.com/fchollet/status/1010988618993655808 …
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Generically: there's an arrow of time in Bayes. You can learn (i.e., reduce your entropy over theories), but you can't consistently "forget". Newcomb's paradox doesn't have a consistent arrow of time.
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But what about inconsistencies with updating information if this is single instance game? Are you talking about the predictor being thermodynamically limited now?
End of conversation
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