For the task they are given, take textual tokens as input and make coherent output, the models seem 'smart enough' for me.
The problem here is all the text in the world is still one dimension of information. The emergence of human intelligence, at least I believe, isn't from one dimensional information, but from being able to get feedback and prune the bits of information that are inconsistent with reality. There is no continuous feedback loop in our current LLMs to prune/down weight bad information in that fashion that the mind works in. There is also the "the LLM universe is what humans tell it", if we feed it bad data that's incorrectly weighted, then we'll get bad output. There is currently no scientific method model internal for the AI to test its predictions on reality.
I believe all the above issues are solvable, but no idea on the time and resources necessary to accomplish them.