[HN Gopher] LLMs learn what programmers create, not how programm...
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       LLMs learn what programmers create, not how programmers work
        
       I ran an experiment to see if CLI actually was the most intuitive
       format for tool calling. (As claimed by a ex-Manus AI Backend
       Engineer) I gave my model random scenarios and a single tool "run"
       - i told it that it worked like a CLI. I told it to guess commands.
       it guessed great commands, but it formatted it always with a colon
       up front, like :help :browser :search :curl  It was trained on how
       terminals look, not what you actually type (you don't type the ":")
       I have since updated my code in my agent tool to stop fighting
       against this intuition.  LLMs they learn what commands look like in
       documentation/artifacts, not what the human actually typed on the
       keyboard.  Seems so obvious. This is why you have to test your LLM
       and see how it naturally works, so you don't have to fight it with
       your system prompt.  This is Kimi K2.5 Btw.
        
       Author : noemit
       Score  : 7 points
       Date   : 2026-03-23 20:31 UTC (2 hours ago)
        
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       (page generated 2026-03-23 23:01 UTC)