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
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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