• SnoopSqueak@lemmy.today
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    22 hours ago

    It can’t reason. It doesn’t think. It makes shit up as it was trained to do. It can sort of detect patterns and make a guess about what response would get it the highest score, but it’s so error-prone that a human has to verify the output anyway. It’s difficult to tell whether the perceived benefits outweigh the costs. There are many different types of LLMs and use cases.

    As a person who values life and our environment, I’d rather not participate in the sloppification of our world. As a Linux user, I am wary of vibe coded flaws slipping under the radar and screwing up my system.

    • sunbeam60@feddit.uk
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      4 hours ago

      Again, we are stuck in a semantics debate. What I call reasoning you don’t, it seems.

      But all I know, as someone that has worked in software engineering for 25+ years, is that the output of whatever it does, and whatever you call it, is incredibly useful.

      Saying “it just generates text” is a reflexive reaction that attempts to flatten the nuance.

      All Columbus did was sail west.

      All America did was throw some fuel into a tube and put Neil Armstrong on the top.

      All Picasso did was to throw some paint onto a cloth.

      All this PhD student did was generate text.

      Surely we’ve got to have some more nuance in there. If there’s a difference between 10000 monkeys hacking on a typewriter and a human writing their doctoral thesis, the quality of their act isn’t in whether text was generated but WHAT text was generated.

    • architect@thelemmy.club
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      20 hours ago

      I have to verify the output of what humans generate, too. I’m constantly looking at the source of claims. The AI is no different and it’s not nearly as wrong as a Person is.