• ZILtoid1991@lemmy.world
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    7 hours ago

    I think there could be some potential usecases for LLMs, but that’s not code generation (at least code that is not in the finished product), nor having it look up stuff in technical documentation.

    Everyone is trying to chase the rational adaptation case. Everyone wants to 10x their projects, yet keep control over them, or at least 2x their productivity. But I’ve seen just as many people going insane from at least first trying to use it as a tool as vibe coders.

    • G_M0N3Y_2503@lemmy.zip
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      4 hours ago

      Code is probably one of the easiest things to verify, for that reason I struggle to see any other viable uses for LLMs tbh.

      user: write code that correctly asserts what 1+1 equals.
      LLM: assert_eq!(1 + 1, 4);
      LLM: hmmm, that crashed.
      LLM: assert_eq!(1 + 1, 3);
      LLM: hmmm, that also crashed, I must be doing something wrong, let me try one more time.
      LLM: assert_eq!(1 + 1, 2);
      LLM: that worked!
      LLM Response: assert_eq!(1 + 1, 2);
      
      user: what does this sentence mean? "Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo"
      LLM Response: This doesn't mean anything, or someone really likes buffalo's
      

      I can always run the code to check, I still don’t know how that sentence makes sense.

      • SuperNovaStar@lemmy.blahaj.zone
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        4 hours ago

        That’s because it needs a semicolon:

        Buffalo buffalo Buffalo buffalo; buffalo buffalo Buffalo buffalo.

        Also it isn’t a very good sentence because you’ve said the same thing twice.

        It should read:

        Buffalo buffalo buffalo; Buffalo buffalo buffalo Buffalo buffalo.

        Translation:

        “Buffalo” is a place, a noun (more or less meaning bison), and a verb (to harass or bully). So what it means is:

        Bison bully bison; Buffalo bison bully Buffalo bison.

        • G_M0N3Y_2503@lemmy.zip
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          4 hours ago

          hmmm, I just copied from Wikipedia as my primary source. That was the faux pas that was cool before AI.