While there's definitely a similarity it's also important not to over generalize. For example the human vision system and stable diffusion may end up using simi

While there's definitely a similarity it's also important not to over generalize. For example the human vision system and stable diffusion may end up using similar feature decomposition, but that doesn't mean the rest of the brain works anything like that. I strongly suspect that if we do ever fully map the "architecture" of the brain, the result will be a massive graph that's not readily understandable by humans directly. This is already the case in biology. We'll end up with a computational artifact that'll help us understand cause and effect in the brain, but it'll be nothing like a tidy diagram of tensor operations like in state of the art ML papers.