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
Show replies by date