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Would we be able to have a "digital human" when we reach the level of creating this kind of brain mapping for the human brain?

Honestly I think we're still discovering how powerful neural networks are and certainly they can do computations that sound very close to intelligence in some contexts, but I still find it hard to think that we can simplify the whole reality of an incredibly complex chemical machinery down to a bunch of matrices multiplications.



A human brain is about 100T parameters (if you count every synapse) on fp4 quantization (the amount of state information available in every synapse). The architecture is quite different from modern LLMs and currently not well enough understood, but _theoretically_ a modern GB300-NVL72 cluster is nearly computationally sufficient to simulate a human brain (with some optimizations - almost certainly is).

For state equivalence, we don't need to simulate every chemical reaction in every brain cell.


> bunch of matrices multiplications

What these matrix multiplications are doing is approximately solving pretty high order differential equations.

The approximation is not very analog, sure. But neither is nature.




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