• @aodhsishaj
    link
    5
    edit-2
    1 month ago

    It was a little tongue in cheek my comment. You’re right, and my fear is these CEOs bought too much into these transform models for LLMs they’re calling AI and spreading engineering teams even thinner. I hope this AI bubble bursts soon so that we can get back to work on worthwhile projects.

    I don’t need an AI chip from Intel in my laptop that’s less reliable because it has a tpu cludged into it so that I can ask a chat bot to tell me a bedtime story.

    • Alphane MoonOPM
      link
      5
      edit-2
      1 month ago

      I think in 12-18 months, if they won’t come up with something radically new (i.e. not modest refinements of the latest LLM model), the bubble will pop.

      They have to get a return on this massive capital spend and I bet opex spend (salaries for people with relevant experience must be insane these days) is no joke as well.

      At some point they will have to show ROI; something they have failed to do so far.

      • @aodhsishaj
        link
        31 month ago

        My issue is they’re not really hiring more engineers, but they are increasing the workload. I think that’s the main driver to all of the microcode failures intel has been dealing with.

      • @Wooki
        link
        21 month ago

        Agreed on all points! Already talk of openai’s huge running costs and vedors are scrambling to try and monetise.