You appear to have strong opinions on this, so probably not worth arguing further, but I disagree with you completely. If people are mistaking it then that is because the term is being used improperly, as the very language of the two words do not apply. AGI didn’t even gain traction as a term until recently, when people who were actually working on strong AI had to figure out a way to continue communicating about what they were doing, because AI had lost all of its original meaning.

Also, LLaMA is one of the LLMAIs, not a “common type” of LLM. Pretty much confirms you don’t know what you’re talking about here…

We should call them LLMAIs (la-mize, like llamas) to really specify what they are.

And to their point, I think the ‘intelligence’ in the modern wave of AI is severely lacking. There is no reasoning or learning, just a brute force fuzzy training pass that remains fixed at a specific point in time, and only approximates what an intelligent actor would respond with through referencing massive amounts of “correct response” data. I’ve heard AGI being bandied about as the thing people really thought when you said AI a few years ago, but I’m kind of hoping the AI term stops being watered down with this nonsense. ML is ML, it’s wrong to say that it’s a subset of AI when AI has its own separate connotations.