And here's some more goalpost-shifting. Most humans aren't capable of novel mathematical thought either, but that doesn't mean they can't think.
As for most humans not being mathematicians, it's entirely irrelevant. I gave an example of something that so far LLMs have not shown an ability to do. It's chosen to be something that can be clearly pointed to and for which any change in the status quo should be obvious if/when it happens. Naturally I think that the mechanism humans use to do this is fundamental to other aspects of their behaviour. The fact that only a tiny subset of humans are able to apply it in this particular specialised way changes nothing. I have no idea what you mean by "goalpost-shifting" in this context.
If we knew that, we wouldn't need LLMs; we could just hardcode the same logic that is encoded in those neural nets directly and far more efficiently.
But we don't actually know what the weights do beyond very broad strokes.
we understand on this low level, but LLMs through the training converge to something larger than weights, there is a structure of these weights which emerged and allow to perform functions, and this part we do not understand, we just observe it as a black box, and experimenting on the level: we put this kind of input to black box and receive this kind of output.