Why can't people make ai's by making a neuron sim and then scaling it up with a supercomputer to the point where it has a humans number of neurons and then raise it like a human?
I know current learning models work a little like neurons but why not just make a sim that works exactly like how we understand neurons work
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Actually, we've got some pretty sophisticated models of neurons. https://en.wikipedia.org/wiki/Blue_Brain_Project?wprov=sfla1
See my other comment for an example of how little we truly understand about neurons.
Modeling neurons and simulating them with AI are very different things. And, as you say, we still know very little about neurons and the nervous system and the brain itself. How, then, could we even attempt to train an AI to work accurately?
We do have some pretty sophisticated models of neurons, and there are persistent theories (2015 was earliest I found in a quick search) that brains use some quantum physics, in particular Quantum Entanglement, to operate.
https://phys.org/news/2022-10-brains-quantum.html
In which case, hardware has a very long way to go before we can do that at scale.