My smartest friends have bananas arguments about LLM coding.
  • Lvxferre [he/him]@mander.xyzEnglish
    11·
    2 days ago

    We (people in general) are dealing with two sets of crazy people, when it comes to AI:

    1. A crowd who overestimates AI capabilities. They often believe AI is “intelligent”, AGI is coming “soon”, AI will replace our jobs, the future is AI, all that babble.
    2. A crowd who believes generative models are only flash and smoke, a bubble that’ll burst and leave nothing behind. A Ponzi scheme of sorts.

    Both are wrong. And they’re wrong in the same way: failure to see tech as tech. And you often see criticism towards #1 (it’s fair!), but I’m glad to see criticism towards #2 (also fair!) popping up once in a while, like the author does.

    …case in point best usage case for LLMs is

    • the task is tedious, repetitive, basic. The info equivalent of cleaning dishes.
    • the amount of errors in the output is OK for its purpose.
  • CrayonDevourer@lemmy.worldEnglish
    14·
    2 days ago

    Yep, this mirrors the chodes on c/fuck_ai - None of them know what this stuff is capable of doing because they don’t work with it. They’re all caught up in this idea that it’s a new hype-bubble and none of them realize it’s here to stay.

    • SamuraiBeandog@lemmy.worldEnglish
      41·
      2 days ago

      I mean, it is a hype bubble, just like the dotcom bubble. That doesn’t mean there’s nothing to it, just that a lot of the claims people are making about it are unrealistic.