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Neural Networks Models
I think it's related to the semantics discussion we're having in n p. So people like walli sabe say that newer networks don't have semantics. But neural networks models, because what a human does is we would come up with the right representation or abstraction, we would build a model which is very reductionist. A neural network models everything to everything. And the semantics are all one thing. Well, o care. I don't want to claim that these things do not form abstract things. It might not be the same abstract classes that we form, but they definitely form some level of abstraction. You know, i like what what i think honor connorlayhe said, like