LLMs start from random weights (blank slate) unlike human brains, which have pre-existing neural connections and evolutionary priors.
The language models are much more like blank slates. They literally start as random weights, whereas the human brain starts with all these regions connected to all these inputs and outputs. Maybe we should think of pre-training — and for that matter, RL as well — as something that exists in the middle space between human evolution and human on-the-spot learning.