• boonhet@sopuli.xyz
    link
    fedilink
    English
    arrow-up
    8
    ·
    8 hours ago

    Are you under the impression that a web search does not use data centers?

    Google in particular has a lot of infra to support their search, which actually used to be good

    • cley_faye@lemmy.world
      link
      fedilink
      English
      arrow-up
      4
      ·
      3 hours ago

      There is a difference between using X amount of resource to provide an actual output that justify spending X amount of resource, and using X*1000 resources to provide zilch.

      • boonhet@sopuli.xyz
        link
        fedilink
        English
        arrow-up
        1
        ·
        1 hour ago

        Citation on it being zilch because they do a fair bit of actually useful work these days while the search engines mostly seem to be going downhill (Kagi being an exception)

    • Don_alForno@feddit.org
      link
      fedilink
      English
      arrow-up
      12
      ·
      6 hours ago

      It does not use AI data centers. Those are not remotely on the same scale as what we called a data center before this LLM hype started. This infrastructure will not have another use once the bubble pops.

      • boonhet@sopuli.xyz
        link
        fedilink
        English
        arrow-up
        3
        ·
        5 hours ago

        It was said that one was built in 2022. That’s long before they started doing gigawatt scale bullshit.

    • expr@programming.dev
      link
      fedilink
      English
      arrow-up
      18
      ·
      edit-2
      7 hours ago

      It doesn’t need nearly as many. AI inference is orders of magnitude more expensive than a single search query (ignoring the fact that Google does it’s own inference with search queries now). And that doesn’t even include training, which is stupidly expensive to do.