It doesn't really matter how we learn the features that we learn; I've heard numerous times that ML models tend to learn architectures/neurons that biological n

It doesn't really matter how we learn the features that we learn; I've heard numerous times that ML models tend to learn architectures/neurons that biological neurons do; I've seen convincing evidence about image recognition back in the day that this is the case. I read that animals dream in the woumb partially to pre-train their nervous system, including vision stuff. But I'm convinced GPT-3/4 did learn a lot of features/generalization/reasoning, even if part of a "text prediction". Sure, it's predicting text... but to do so it learnt some calculus and quantum mechanics -- it's just an example, I don't know the cognitive building blocks to explain how humans/future AI do their reasoning.