• Elrecoal19@lemmy.world
    link
    fedilink
    arrow-up
    5
    arrow-down
    1
    ·
    10 hours ago

    Yeah, AI is going to put some people out of work, but in turn will open lots of more specialized positions. And these positions that are lost could adapt to AI (for example, being part of the training instead of just being let go).

    • Jankatarch@lemmy.world
      link
      fedilink
      arrow-up
      5
      ·
      edit-2
      9 hours ago

      There is still difference.

      Cloud was FOR the IT people. Machine learning is for predicting patterns following data.

      Maybe stock predictors will adapt or replace but average programmer didn’t have to switch to replit because it’s “cloud IDE”

    • Ferk@programming.dev
      link
      fedilink
      arrow-up
      5
      ·
      edit-2
      9 hours ago

      I mean, isn’t that what “get on or get left behind” means?

      It does not necessarily mean you’ll lose your job. Nor does “get on” mean you have to become a specialist on it.

      The post picks specifically on things that didn’t catch on (or that only catched on for a period of time but were eventually superseeded), but does not apply it to other successful technologies.

      • Elrecoal19@lemmy.world
        link
        fedilink
        arrow-up
        2
        ·
        edit-2
        9 hours ago

        Yeah, I realized it suffers from (inverse) survivorship bias, only pointing out the ones that didn’t survive.

        Didn’t one company claim something like “the internet is a fad” or “touchscreen phones are a fad” and went bankrupt/became irrelevant because they didn’t adapt?

        • thanks AV@lemmy.world
          link
          fedilink
          arrow-up
          2
          ·
          7 hours ago

          touchscreen phones are a fad

          Blackberry? I was like 10 at the time so this is based off my memory of who had what phone but that seems like the right guess