[CG] Why LLMs cannot do complex reasoning

Some people have claimed that generative AI based on LLMs can support a path toward Artificial General Intelligence. But the best that can be said is that LLMs are useful for machine translation (especially for Standard Average European), for NL interfaces to computer systems, and for various kinds of text processing, summarization, and generation -- provided that they are supplemented with suitable methods for error checking. I am currently writing an article that explains why LLMs are not capable of supporting the full range of human thinking, reasoning, and language understanding. In fact, they could not replace the brain of a dog, a raven, or a horse on tasks they do best. See the attached Section6.pdf, which includes Section 6 of the article and the opening paragraphs of Section 7. At the end, it includes two references for covering some of the material in the preceding five sections of the article I'm writing. John