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Well, it's an interesting question. I'm not sure we really know what "thinking" is. But where the rubber meets the road in the case of LLM agents is whether the
by o_nate 1y ago
Well, it's an interesting question. I'm not sure we really know what "thinking" is. But where the rubber meets the road in the case of LLM agents is whether they can achieve the same measurable outcomes as a human agent, regardless of how they get there. And it seems not at all clear how to build those capabilities on top of an admittedly impressive verbal ability.
- abalashov 1y agoIt may be because I've a writer/English major personality, and so am very sensitive to the mood and tone of language, but I've never had trouble distinguishing LLM output from humans. I'm not suggesting anything so arrogant as that I cannot be fooled by someone intentionally deploying an LLM with that aim; if they're trained on human input, they can mimic human output, I'm sure. I just mean that the formulations that come out of the mainstream public LLM providers' models, guided however they are by their pretraining and system prompts, are pretty unmistakably robotic, at least in every incarnation I've seen. I suppose I don't know what I don't know, i.e. I can't rule out that I've unknowingly interacted with LLMs without realising it. In the technical communities in which I move, there are quite a few forums and mailing lists where low-skilled newbies and non-native English speakers frequently try to disgorge LLM slop. Some do it very blatantly, others must believe they're being quite sly and subtle, but even in the latter case, it's absolutely unmistakable to me.