no disrespect intended, however I think my response is relevant, because the broader topic here is whether LLMs and the human mind share similar functions. They both do in fact have a lot of overlapping features, and a fundamental one is predicting next-thing, be that a word, image, or otherwise.
It's not relevant. However, if you want to talk about a broader point, that's ok.
> LLMs appear to learn distributions of representations, they both develop a hierarchy of those representations, both have early layers that process simple features, with later ones processing more abstract concepts, both predict missing information.
This type of superficial comparison isn't very meaningful, it's trivial to liken anything to a human biology in this manner.
A plane and a bird both use wings to produce lift, it doesn't then follow that a bird and a plane are meaningfully similar.