The emissions from individual AI text, image, and video queries seem small—until you add up what the industry isn’t tracking and consider where it’s heading next.

Absolutely needed: to get high efficiency for this beast … as it gets better, we’ll become too dependent.

“all of this growth is for a new technology that’s still finding its footing, and in many applications—education, medical advice, legal analysis—might be the wrong tool for the job,”

  • Dr. Moose@lemmy.worldEnglish
    20·
    22 days ago

    The energy issue almost feels like a red herring for distracting all idiots from actual AI problems and lemmy is just gobbling it up every day. It’s so tiring.

    • kalkulat@lemmy.worldOPEnglish
      1·
      16 days ago

      Partly, yep. Seems like every time I try to pin down an AI on a detail of a question worth asking - a math question, or a date in history, it’ll confidently reply with the first answer it finds … right or wrong.

      • Dr. Moose@lemmy.worldEnglish
        1·
        16 days ago

        I don’t think accuracy is an issue either. I’ve been on the web since inception and we always had a terribly inaccurate information landscape. It’s really about individual ability to put together found information to an accurate world model and LLMs is a tool just like any other.

        The real issues imo are effects on society be it information manipulation, breaking our education and workforce systems. But all of that is overshadowed by meme issues like energy use or inaccuracy as these are easy to understand for any person while sociology, politics and macro economics are really hard.

    • crystalmerchant@lemmy.worldEnglish
      5·
      22 days ago

      Depends on the prompt, the model, the parameters, which DCs, time of day, location in the world, and other factors. They answer the question but there’s so many variables that can affect footprint (and big hyperscalers do not release this data so you have to under a lot)