I'm no expert, but I heard an AGI researcher explain that if they could figure out how to create an AI with the intelligence of a squirrel, they would be closer to AGI than LLMs based AIs are.
That's to say nothing of doing it within the energy budget of a squirrel.
We can't even simulate a fruit fly even though it's neurons have all been mapped out. There was also a distributed computing project to simulate some nematode, which I can't remember.
> I just think LLMs are a dead end for AGI.
I have no background in CS, so apologies if this is a naive question, but what makes you take AGI seriously, but also say that LLMs are a dead end?
i.e., is there something else that you think is not a dead end?