this post was submitted on 04 Dec 2024
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It actually makes sense if you think about it from the perspective that ML is about generalizing trends/functions. Simulating the world is hard, generalizing the world based on past observations - easy (with some lossyness).
I know people who spend their lives working on climate models, and none of them would say it's easy. And climate models are "generalizing the world based on past observations" plugged into some very complex physical models.