Explainable / understandable vs black-box. Yep.
The fact that hand-written code has to be read and understood by humans is a powerful regularization term that pushes it towards simplicity. Code written by a search process (whether biological evolution or program synthesis) has no such constraint.
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Jobs saved. Until someone realizes, that if humans not only can be replaced writing code, but also reading code.
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The evolutionary search process does favor modularity though. The evolutionary origins of modularity has played a role in the formulation of (artificial / computational) evolutionary search processes. Check out this gem by
@jeffclune@jb_mouret@hodlipsonhttps://arxiv.org/abs/1207.2743 -
Also non-evolutionary program synthesis approaches, like that in the DreamCoder paper, are only tractable if the code is modular and a bank of functions is learned.
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Hand-written code only has to be read and understood by its author; not necessarily by anybody else.
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If you're going to use it once and throw it away, sure. If you want code that people* will be able to maintain and improve over time, then readability and documenting intent matters. (* including future you, months or years later when you have no memory of this place)
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You have obviously never read financial industry code!
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In that case, does one even need code? Wouldn’t it be more efficient to get the algorithm to code in machine level language?
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Multi objective optimization. Minimize "a" distance between code behavior and code behavior expectation under the constraint of readability (and more, e g performance).
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