LLMs comsume training data and can then be asked questions. How different is that to your son watching YouTube and then answering questions?
It's not 1:1 the same,yet, but it's in the neighborhood.
So -- to a large degree "bucket of neurons == bucket of neurons" but the training data is different and the processing model isn't necessarily identical.
I'm not necessarily disagreeing as much as perhaps questioning the size of the neighborhood...
Too many years to max compute. All models limited lifespan inherent.
Avg $200k+ training cost over 18 year in house data center costs. More for reinforcement.
He's still 38. Gates took much longer. To stop working 24/7.
And in a human, all those structures and substances, along with the tens of thousands more throughout the rest of the body, are collectively readied with millions of years of "pretraining" before processing a continuous, constant, unceasing mulitmodal training experience for years.
LLM's and related systems are awesome and an amazing innovation that's going to impact a lot of our experiences over the next decades. But they're not even the same galaxy as almost any living system yet. That they look like they're in the neighborhood is because you're looking at them through a very narrow, very zoomed telescope.
constant still can be not reachable yet: like 100T neurons in brain vs 100B in chatgpt, and also brain can involve some quantum mechanics for example, which will make complexity diff not constant, but say exponential.
A neuroscientist once pointed this out to me when illustrating how many huge gaps there are in our fundamental understanding of how the brain works. The brain isn't just as a series of direct electrical pathways - EMF transmission/interference is part of it. The likelihood of unmodeled quantum effects is pretty much a guarantee.