

This is really just a guess but… I think “agent” in this context means a personalised AI.
Training gen AI models requires huge amounts of resources. Its not practical to train an AI for your personal use.
Creating an agent is something like, taking an existing model, asking it to keep your entire browser history in mind while you ask it to do your homework.
IMO its actually one of the big limitations of gen AI, but somehow the word is supposed to mean the opposite. As in, the current approach has reached a dead end requiring exponentially more resources for less and less improvement. So because we can’t make a model that just knows or learns everything, we have to make agents that know lots about specific things.


This isbprobably a philosophical question that i dont know the answer to, but its still a waste.