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323 points steerlabs | 1 comments | | HN request time: 0.194s | source
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keiferski ◴[] No.46192154[source]
The thing that bothers me the most about LLMs is how they never seem to understand "the flow" of an actual conversation between humans. When I ask a person something, I expect them to give me a short reply which includes another question/asks for details/clarification. A conversation is thus an ongoing "dance" where the questioner and answerer gradually arrive to the same shared meaning.

LLMs don't do this. Instead, every question is immediately responded to with extreme confidence with a paragraph or more of text. I know you can minimize this by configuring the settings on your account, but to me it just highlights how it's not operating in a way remotely similar to the human-human one I mentioned above. I constantly find myself saying, "No, I meant [concept] in this way, not that way," and then getting annoyed at the robot because it's masquerading as a human.

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Archelaos ◴[] No.46192525[source]
I never expected LLMs to be like an actual conversation between humans. The model is in some respects more capable and in some respects more limited than a human. I mean, one could strive for an exact replica of a human -- but for what purpose? The whole thing is a huge association machine. It is a surealistic inspiration generator for me. This is how it works at the moment, until the next break through ...
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1. lxgr ◴[] No.46193165[source]
Clarifying ambiguity in questions before dedicating more resources to search and reasoning about the answer seems both essential and almost trivial to elicit via RLHF.

I'd be surprised if you can't already make current models behave like that with an appropriate system prompt.