Imagine taking the lightweight, privacy-focused appeal of Linux and completely ruining it by hardwiring AI models straight into the OS. Nobody is switching from Windows for more forced AI features.

  • Victor
    2·
    6 hours ago

    The difference here is that I know as well as everyone else that I couldn’t possibly do what the excavator does with my own two hands, so the skill here becomes operating the vehicle itself. But what the LLM can do, I can do.

    This is so often the argument when talking to LLM apologists/proponents, that “this is a shift just like any other before it”, but it isn’t. It sneakily resembles one, but it is not exactly like one. There are major differences that set it apart from previous shifts. This isn’t just a “paradigm shift”. We are no longer thinking of solutions on our own, so we are/will be losing the ability to do so, yet we are expected to be the judges as to whether the generated solutions are good or not. That doesn’t add up.

    Once a few generations of “developers” have grown up with LLMs, it’ll eventually be like using a calculator to solve divisions with large numbers, yet still you have to check your work. But if you keep using the calculator, or you never even trained yourself to do the divisions by hand in the first place, you won’t be able to check the solution is correct.

    • chaosCruiser@futurology.todayEnglish
      1·
      6 hours ago

      I can hold a shovel and dig a hole. Not as fast as an excavator, but I’ll get the job done sooner or later. I’m sure you can as well. If you want results faster, you can get a bunch of people or a single excavator. I’ve seen similar dynamics with programming too.

      Yeah, totally agree with the rest though. Being qualified to evaluate the output is the main bottleneck with LLMs. Most users aren’t qualified, so they will approve all sorts of stupid nonsense while thinking it’s brilliant. If people constantly rely on LLMs to do the thinking, those skills will begin to disappear, which obviously will have serious consequences.

      • Victor
        1·
        3 hours ago

        An excavator can also lift rocks that I can’t. But that’s really beside the point.

        It doesn’t really matter which analogy you use, the fact is that I can do what an LLM can do, in my field. I can probably do a better job, because I know more current web APIs than an LLM has had time to train on because of limited human output.

        You don’t get faster results with more developers though. You don’t make a baby in one month with 9 mothers either. You might have seen a small increase in development time with more than one dev on a single project but that doesn’t scale past more than a handful of devs, usually. At least not per feature.