Intelligence is not some universal abstract thing acheivable after a certain computational threshold is reached. Rather its a quality of the behavior patterns of specific biological organisms following their drives.
There's a long history in AI where neural nets were written off as useless (Minsky was the famous destroyer of the idea, I think) and yet in the end they blew away the alternatives completely.
We have something now that's useful in that it is able to glom a huge amount of knowledge but the cost of doing so it tremendous and therefore in many ways it's still ridiculously inferior to nature because it's only a partial copy.
A lot of science fiction has assumed that robots, for example, would automatically be superior to humans - but are robots self-repairing or self replicating? I was reading recently about how the reasons why many developers like python are the reasons why it can never be made fast. In other words you cannot have everything - all features come at a cost. We will probably have less human and more human AIs because they will offer us different trade offs.
I suspect that some researchers with a very different approach will come up with a neural network that learns and works more like a human in future though. Not the current LLMS but something with a much more efficient learning mechanism that doesn't require a nuclear power station to train.