I did the math some years ago on how much computing is required to simulate a human brain - a brain has around 90 billion neurons with each neuron having an average of 7,000 connections to other neurons. Lets assume thats all we need. So what do we need to simulate a neuron, one cpu? or can we fit more than one in a CPU, lets say 100 so we're down to one billion cpu's and 70 trillion messages flying between them every what? mSec?.

Simulating that is a long way away - so the only possibility is that brains have some sort of redundancy and we can optimise that away. Though computers are faster than brains so its possible maybe, how much faster? So lets say a neuron does its work in a mS and we can simulate this work in 1uS, ie a thousand times faster - thats still a lot. Can we get to a million times faster? even then its still a lot. Not to mention the power required for this.

Even if we can fit a million neurons in a CPU thats still 90 million CPU's. Only 10% are active say, still 9 million CPU's, a thousand times faster - 9,000 cpu's nearly there but still a while away.

We don't even have an accurate convincing model of how the functions of the brain really work, so it's crazy to even think about its simulation like that. I have no doubt that the cost would be tremendous if we could even do it, but I don't even think we know what to do.

The LLM stuff seems most distinctly to not be an emulation of the human brain in any sense, even if it displays human-like characteristics at times.