The GPT4 you’re using must be a different one form what I’m using, because for me GPT4 was only an incremental improvement over GPT3.5 and while both are a step

The GPT4 you’re using must be a different one form what I’m using, because for me GPT4 was only an incremental improvement over GPT3.5 and while both are a step up from everything that came before, it’s output is still very mechanical to the point where it often seems like little more than a very elaborate and sophisticated expert system with probabilistic response choices and a large knowledge base. It has far too many shortcomings to make the claims you seem to be making and the worst part is that it’s entirely unaware of its own shortcomings and will confidently and incorrectly assert things without any self awareness or understanding and I’ve yet to see a single model that can determine when it doesn’t know something. There’s still a long way to go before human level intelligence. Also, think of the amount of energy that is required to run GPT4 compared to a typical human brain. That’s not to say that it’s not useful in its current form, because it is, but that’s not what we are arguing here. You asserted that “Soon it will reach levels of complexity vastly exceeding any human brain.” while I’m asserting that the human brain is far, far more complex than you give it credit for and that the latest AI models are not even close to that yet. I am doubting that LLM’s and similar machine learning will exceed human brain complexity, and certainly not VASTLY, in any timeframe that I would call “soon”, unless there are fundamental discoveries made. It’s not even clear the current models can scale any further due to the lack of any new non-LLM-generated training data to train bigger models on, so the GPT3.5 to 4 shift is unlikely to reoccur.