Net-zero emission goals went out the window with AI.

  • Zikeji@programming.dev
    link
    fedilink
    English
    arrow-up
    20
    arrow-down
    3
    ·
    18 hours ago

    Yeah the article is disingenuous at best. There are many things wrong with generative AI, but this is just a lousy approach.

    If I make a PC, put in a water cooling loop, and use it to run an LLM - sure, water is circulating, but that water isn’t just vanishing lol.

    • iAmTheTot@sh.itjust.works
      link
      fedilink
      English
      arrow-up
      11
      arrow-down
      4
      ·
      17 hours ago

      My friend, you are naive at best if you think AI data centers are using closed loop water cooling. Look up evaporative cooling towers. It’s “consumed” in the sense that it is evaporated.

      • Pup Biru@aussie.zone
        link
        fedilink
        English
        arrow-up
        2
        arrow-down
        1
        ·
        3 hours ago

        and it’s still absolute crap… the heat produced by 100 words of GPT inference is negligible - it CERTAINLY doesn’t take 3L of water evaporating to cool it

      • Zikeji@programming.dev
        link
        fedilink
        English
        arrow-up
        7
        arrow-down
        2
        ·
        17 hours ago

        I specifically avoided saying they did because I wasn’t knowledgeable on the topic. But I agree, I could equally be accused of being disingenuous by phrasing it in a way that could lead people to assume they use closed loops.

        I did look those up, and while evaporation cooling isn’t the only method used, it also doesn’t evaporate all the water each pass, only a portion of it (granted “a portion” is all I found at a quick look, which isn’t actually useful).

        I do agree though, the water usage is excessive, and when though that water only “changes forms”, it’s still removes it from a water source and only some of it may make its way back in.