Not that different at all.

chatGPT and other LLMs mimic the part of our cognition that's best described as "learning by rote." Humans do this with years of play. LLMs do this by being trained on text. In each case, neural nets are set up to create rapid jumps along the highest weighted probability path with some randomness and minimal processing thrown in. It's the most computationally cheap method for doing most of what humans do (walking, seeing, talking) and what chatGPT does (talking). Most of what humans consider "conscious intelligence" exists to train the parts of your brain that are automatic (i.e. like chatGPT).

The computationally expensive part - verification of facts via sensory data, rule based processing, accessing and checking curated, accurate data, internal real world rule base modeling with self correction, and most importantly, having a top level neural net layer that coordinates all of these things is what LLMs do not do. Generally we call this "thinking."

The hard parts haven't been done yet, but they will be, and soon. So, right now LLMs are not AGI, but we'll fill in the missing pieces soon enough as the picture of what intelligence is and isn't becomes clearer.