I don't think static LLMs could reach AGI tbh. An LLM is like slicing out the language processing portion of our brain. Well realistically it's like independen

I don't think static LLMs could reach AGI tbh. An LLM is like slicing out the language processing portion of our brain. Well realistically it's like independently evolving the language processing part of our brain without forming the rest of the brain, there seems to be extra logic/functions that emerge within LLMs to handle these restrictions. I think we'll see AGI when we finally try to build one up from various specialised subcomponents of a "brain". Of course GPT can't "think", it only knows how to complete a stream of text and has figured out internal hacks during training to pass the tests they set for it. The real difference will be when we train a model to have continuous, connected abstract thoughts - an LLM can be used to communicate these thoughts or put them into words but it should not be used to generate them in the first place...