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The Relationship Between Emergence and Machine Learning
I love the connections between emergence and what's happening right now in all of the models. I also wonder, are these causative or are they correlative? Do you think it's tricky? Let's take a step back and say your job as an engineer is to design a system to identify whether an image is a cat or not a cat. An emergent system would be like, okay, here are a million pictures of cats, figure out what's a cat. It'll do that. So it's very tricky because there's also the question of correlation versus causation in this. There's some examples of image net classification that I find hilarious. There's a general category inside image net