←back to thread

323 points steerlabs | 1 comments | | HN request time: 0s | source
Show context
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.

replies(37): >>46192230 #>>46192268 #>>46192346 #>>46192427 #>>46192525 #>>46192574 #>>46192631 #>>46192754 #>>46192800 #>>46192900 #>>46193063 #>>46193161 #>>46193374 #>>46193376 #>>46193470 #>>46193656 #>>46193908 #>>46194231 #>>46194299 #>>46194388 #>>46194411 #>>46194483 #>>46194761 #>>46195048 #>>46195085 #>>46195309 #>>46195615 #>>46195656 #>>46195759 #>>46195794 #>>46195918 #>>46195981 #>>46196365 #>>46196372 #>>46196588 #>>46197200 #>>46198030 #
morkalork ◴[] No.46192346[source]
This drives me nuts when trying to bounce an architecture or coding solution idea off an LLM. A human would answer with something like "what if you split up the responsibility and had X service or Y whatever". No matter how many times you tell the LLM not to return code, it returns code. Like it can't think or reason about something without writing it out first.
replies(3): >>46192497 #>>46193016 #>>46193259 #
1. dwaltrip ◴[] No.46193259[source]
I have architectural discussions all the time with coding agents.