There was an interesting debate where Chomsky took a position on intelligence being rooted in symbolic reasoning and Asimov asserted a statistical foundation (ah, that was not intentional ;). LLM designs to date are purely statistical models. A pile, a morass of floating point numbers and their weighted relationships, along with the software and hardware that animates them and the user input and output that makes the…
That's not true, symbols emerge out of the statistics. Just look at the imagenet analysis that identified distinct concepts in different layers, or the experiments with ablation in LLMs. They may not be doing strict formal logic, but they are definitely compressing information into, and operating using, symbols.
Sentence parsing with multiple potential verb-noun-adjective interpretations are an example of old, Chomsky made fruit flies like a banana famous for a reason.
(without the weights and that specific sentence programmed in, I would be interested exactly how the symbol models cope with that, and the myriad other examples)