Comment by dathinab

no it doesn't has to it just has to be "general"

as in it can learn by itself to solve any kind of generic task it can practically interface it (at lest which isn't way to complicated).

to some degree LLMs can do so theoretically but

- learning (i.e. training them) is way to slow and costly

- domain adoption (later learning) often has a ton of unintended side effects (like forgetting a bunch of important previously learned things)

- it can't really learn by itself in a interactive manner

- "learning" by e.g. retrieving data from knowledge data base and including it into answers (e.g. RAG) isn't really learning but just information retrieval, also it has issues with context windows and planing

I could imagine OpenAI putting together multiple LLMs + RAG + planing systems etc. to create something which technically could be named AGI but which isn't really the break through people associate with AGI in the not too distant future.