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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Of course, In biology you have genetic mutations that survive or don’t (yes I’m oversimplifying). In economics new ideas start as new companies and survive or don’t. What’s fascinating is how closely machine learning (especially deep learning) mirrors that same process (2/n)
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In computing most search algorithms (take Djykstra’s as an example) are basically “rapid guess and check.” Machine learning and AI are essentially “guess and check” done incredibly quickly at a huge scale with beefed up computer hardware (3/n)
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Replying to @AustenAllred
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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