I suspect that the pursuit of LLM agents is rooted in falling for the illusion of a mind which LLMs so easily weave.
So much of the stuff being built on LLMs in general seems fixated on making that illusion more believable.
So much of the stuff being built on LLMs in general seems fixated on making that illusion more believable.
I prefer to think of agents as _feedback loops_, with an LLM as the engine. An agent takes an action in the world, sees the results, then takes another action. This is what makes them so much more powerful than a raw LLM.
It can't self-correct its own reasoning: https://arxiv.org/abs/2310.01798
An LLM in a loop creates agency much like a car rolling downhill is self driving.