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If you allow impractical ML systems, you might as well pick a dice. Sure, the answer is inaccurate, but there's a non-zero probability that it is correct!

But, realistically, the ML system you devise cannot learn about features that require knowledge outside of the observable universe.




How does a static dice model computational processes?

What does the universe have to do with the set of computable functions?




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