“ Finally, and suddenly, here’s a system that can successfully generate text about almost anything—that’s very comparable to what humans might write. It’s impre

“ Finally, and suddenly, here’s a system that can successfully generate text about almost anything—that’s very comparable to what humans might write. It’s impressive, and useful. And, as I’ll discuss elsewhere, I think its success is probably telling us some very fundamental things about the nature of human thinking.” I think that being able to analyze, preprocess and remix a huge corpus of human-authored text on all subjects is altogether a different type of “intelligence” than actually understanding the subject. In some cases, it can approach understanding and actually demonstrate it. In others, it gets things woefully wrong - such as when it claims bears are larger than elephants and shows figures to back it up that prove the exact opposite. (I asked if a bear could eat an elephant.) As I started to ask ChatGPT the same question with different parameters, I saw the Mad Libs side of it. (Simply replacing text in various positions.) It has a TON of that. Also I don’t know how much its many, many human handlers massaged the basic structures, eg “why is this joke funny” etc. That kind of stuff is the type of Artificial Intelligence that all science and technology is - many hands work on software and we ship the next version. That is itself an intelligent process. HOWEVER, what I am really looking forward to is “chain of reasoning” advances. Can anyone point me to those? Also, has Cyc gone anywhere? Wolfram should be aware of that project.