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My experience is that the more complex a loss function that you write for optimisation the lower the likelihood of a "natural" or robust result. So, the software is highly likely to work for all the test cases, and nothing else.

This is kinda the problem that Tesla has for FSD; they are endlessly patching it and it's endlessly finding ways to go wrong.



You have describe tests in a way doesn't use example based testing.

Think property based testing. That way it can't overfit.




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