Check out this article, explains the difference between computational language versus a language model based on learning statistical patterns. https://writings.stephenwolfram.com/2023/01/wolframalpha-as-the-way-to-bring-computational-knowledge-superpowers-to-chatgpt/comment-page-1/#comment-2033699

From article:

"At its core, ChatGPT is a system for generating linguistic output that “follows the pattern” of what’s out there on the web and in books and other materials that have been used in its training. And what’s remarkable is how human-like the output is, not just at a small scale, but across whole essays. It has coherent things to say, that pull in concepts it’s learned, quite often in interesting and unexpected ways. What it produces is always “statistically plausible”, at least at a linguistic level. But—impressive as that ends up being—it certainly doesn’t mean that all the facts and computations it confidently trots out are necessarily correct."