I’m reasonably sure not. Mainstream Buddhism isn’t a mystery religion at all. It has a surprisingly formal, well-developed epistemological theory, which explicitly takes scripture as unquestionable Truth.
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Actually… this probably doesn’t even needs hypercomputation. Just diagonalize over prediction algorithms, simulate each one, and craft observation vector O_n to frustrate algorithm A_n. Something like that. I’m about to go to sleep, so I’m not going to work out the details!
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This strikes me as an algorithm that an optimal learning algorithm might still be able to figure out (there will be others for which it cannot do that). However, for an optimal general learning algorithm, we need to show that there is no *better* general learning algorithm.
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Yes, we can show that there may be worlds that maliciously change the rules. Can we prove that the algorithm could not figure that possibility out? (I am ignoring worlds that sabotage your mental state because you cannot be rational if your mind breaks.)
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And in the more normal situation of a dispassionate and mechanical universe that causes these observations?
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