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Having worked in other sciences (neuroscience for me), I’m not sure what catastrophic obvious errors you’re used to seeing. The vast majority IME are like this, except with even longer feedback loops (on the order of several months).



Well, biology is probably a lot closer to ML in this way. My experience in chemistry or material science is that 99% of the time if you do anything wrong it totally doesn't work at all.

This is fairly typical in software as well.




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