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Comment Re:Not much (Score 1) 78

And probably never will, because there are hundreds of them, and this kind of work on a living brain is very difficult.

It will happen eventually, our visualization techniques and technology are getting better and better. It's just a matter of time.

Comment Re:"probably. We're not 100% sure about it...." (Score 4, Informative) 78

It's pretty clear that you're not trying to understand, you're just trying to argue. That is, you've turned your brain off.

The ability to read hasn't put more than 5 thousand years of evolutionary pressure on humanity, if any. Turn your brain back on, try to see what is there (not what you wish).

Comment Re:Not much (Score 4, Interesting) 78

The real difficulty in answering the question is that we don't know what the brain is really doing.

We have some deep mathematical analysis of what neural networks are doing, but on the brain side, we have some guesses. We don't even have a confident analysis on all the types of neurons yet:

there are tens or even hundreds of different types of neurons. In fact, researchers are still trying to devise a way to neatly classify the huge variety of neurons that exist in the brain.

It's not easy to look in the brain, you can do an MRI but you can't see the activity of the individual neurons easily (unlike in an NN).

Comment Re:chemical signals (Score 3, Interesting) 78

IBM tried doing that with their Blue Brain project. https://en.wikipedia.org/wiki/...

The main issue is that we can't do a perfect simulation at the quantum level, it would be too expensive (if it were even possible). So it's necessary to do an approximation. Then the question becomes, "How much approximation is too much?" and we don't really know.

The Blue Brain project made good headlines but didn't do much.

Comment Re:"probably. We're not 100% sure about it...." (Score 4, Interesting) 78

It's very obvious the neural networks aren't doing what the human brain does.

Among other things, humans don't consume the entire internet to string together a coherent sentence. Humans learn to read usually with a single textbook. The difference in information volume is astounding.

Furthermore, humans don't have a training then a production mode. We are constantly learning, and can modify our brain in real time. The cognitive dissonance is a bit painful, though.

Another thing is recursion: human brains can send synapses back and have feedback loops. LLMs don't do that because it makes the training a lot more expensive.

LLMs are not a strange loop.

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