Maybe this is grasping at straws, but it’s fascinating how close evolutionary processes of different systems mirror each other. (1/n)
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So here’s my unifying theory of life: Systems are so complex that no one can predict anything, so basically we should try as many things as we possibly can and discard the losers as quickly as we can, knowing that learning takes so long we’ll all probably die first (4/n)
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I immediately think of “Gödel, Escher, Bach” as you plunge the depths of meaningless into meaning in computation (mathematics)
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Haven’t read that one yet. I know I need to.
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Not familiar with a popular search algorithm by Djykstra, but popularized search algorithms have an algorithmic complexity that is far more efficient than “guess and check” ... we do have genetic algorithms that were built to mimic biological system, but not often used in systems
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Ya I’m clearly stretching here to be honest
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And I guess you can reduce things like NN down to guess and check ... but the functions that guess and the functions that check and then update the guess are often more than just randomness, hence one is better at images and another better at language
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