And the human brain and LLMs do not function the same way at all. I don't know why you conflate the two.
Again, you need to read on how these technologies work.
I have repeatedly said I don't think that LLMs think like humans do.
However, the problem I have is people are making a statement, "an LLM does not think like a human, therefore....it does not think". I think there is a flaw in that argument, it presumes that only humans are capable of thinking, and there is no other form of thought possible. Under that criteria, than yeah a machine could never be capable of thought....in fact, nothing could be other than a human. That argument is a dead end, it leads to no possible path other than to re-enforce its own dogma.
And with respect, I have read up on these technologies. My job is actually in the Ediscovery industry, we have been using LLMs for 20 years. I have seen them grow from the inagural PHD papers into their nascent phases in my field (in which we have doing language pattern modeling, and concept cluster analysis for a long long time). I was watched every step of the way how they have grown over time.
And I can say with confidence....this is different.
Again the flaw I see in the argument is that it does not allow for emergent complexity. One neuron to neuron connection is very simple, it gets hit with a certain signal and it doesn't transmit, until that signal reaches a certain threshold, than it carries the signal chemically to the next neuron. That's it folks....the whole brain in a nutshell. Yet you connect several hundred or thousand neurons together, and things start happening.
Take a few base pairs of deoxyribonucleic acid and stick them together....and congrats you have nothing. You aren't getting any proteins or celluar machinery out of that. Yet, you get to a few thousand pairs, and sudddenly the amount you can do with it becomes astounding.
I respect that LLMs at its core, all its doing is just saying "what is the word" using probabilitic modeling. But its doing that across millions of connection, and from that an emergent complexity can occur that is far greater than the sum of its parts.