No. They don't have time preference like us, because (wall clock) time doesn't exist for them. An LLM only "exists" when it is actively processing a prompt or generating tokens. After it is done, it stops existing as an "entity".

A real world second doesn't mean anything to the LLM from its own perspective. A second is only relevant to them as it pertains to us.

Time for LLMs is measured in tokens. That's what ticks their clock forward.

I suppose you could make time relevant for an LLM by making the LLM run in a loop that constantly polls for information. Or maybe you can keep feeding it input so much that it's constantly running and has to start filtering some of it out to function.

An agent has more components than just an LLM, the same way a human brain has more components than just Broca's area.

Can we maybe make it "don't anthropoCENTRIZE the LLMs" .

The inverse of anthropomorphism isn't any more sane, you see. By analogy: just because a drone is not an airplane, doesn't mean it can't fly!

Instead, just look at what the thing is doing.

LLMs absolutely have some form of intent (their current task) and some form of reasoning (what else is step-by-step doing?) . Call it simulated intent and simulated reasoning if you must.

Meanwhile they also have the property where if they have the ability to destroy all your data, they absolutely will find a way. (Or: "the probability of catastrophic action approaches certainty if the capability exists" but people can get tired of talking like that).

That is not that strong an argument as it seems, because we too might very well be "a series of weights for probable next tokens".

The main difference is the training part and that it's always-on.