I don’t have a strong opinion here. Here’s one bit of thinking: Currently, everyone is talking about LLM, which are really deep NN. The function that these mod

I don’t have a strong opinion here. Here’s one bit of thinking: Currently, everyone is talking about LLM, which are really deep NN. The function that these models try to approximate is, at least partly, a somewhat continuous function. Maybe that’s where the power of these models comes from. They’re able to interpolate some concepts, which seems like a smart of even creative way of combining ideas. Hashing in contrast is a discrete function. If one bit of the input is flipped, half hash's bits are expected to change. I don’t see a way an AI will learn this.