In other words, even the most evolved adherents of mainstream Buddhism will not have agency over the contents of their beliefs (i.e. need to skip parts of what is roughly Kegan's stage 4)?
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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"We have dubbed the associated results NFL theorems because they demonstrate that if an algorithm performs well on a certain class of problems then it necessarily pays for that with degraded performance on the set of all remaining problems." https://ti.arc.nasa.gov/m/profile/dhw/papers/78.pdf …
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