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What if the program is a hundred million floating-point values, produced by learning?

Can you look at them in small chunks to understand what they are contributing to the result?

It looks like there is such a thing as complexity that is not functionally decomposable.




Do you write your programs like a neural network? I would consider that a major red flag when hiring.




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