Right now, "AI" means "LLM". That's misleading, because LLMs are not general AI. They only solve one narrow problem, slinging around believable-looking text. LLMs are using probability by data mining a large input text and throwing a lot of compute at them. LLMs only work because they have a very large training set and a lot of cheap CPU power.

LLMs can't solve problems they haven't seen before, even though they sometimes get lucky. LLMs aren't aware of their own limitations, hallucinating an answer instead.

In the 60s, an expert level chess program would have been impressive AI. Now Stockfish is free, runs on ordinary hardware, and is nothing special.

"AI" only refers to problems that aren't fully understood or solved yet. Problems that have been solved usually aren't referred to as AI anymore, such as chess programs.