I’m not an AI techie and I’m not well educated on LLMs/AI in general. The issue I’m having is the dichotomy between how people talk about it. I’ve heard completely opposite ends of the spectrum. From AI is quickly becoming advanced enough to threaten human society, all the way to its a glorified dictionary/search engine that can’t really do much of anything. I know Lemmy has a steep anti-AI slant. But, can someone talk about this in a way I can wrap my head around why the divide seems so big?

  • MangoCats@feddit.it
    link
    fedilink
    English
    arrow-up
    2
    arrow-down
    2
    ·
    edit-2
    18 hours ago

    The surge in unmaintainable vibe coded AI slop open source projects is well discussed.

    Hard disagree. Internet discussion glosses over little things like: quality control, discarding of garbage, reverting to better solutions when they are available. Some irresponsible morons will indeed muck up their production code base with slop and be unable to let go of it when they realize their mistakes, but the majority will be able to try again and replace the bad with better.

    Agree: a lot of slop has been produced in the last year, that doesn’t mean anybody is using it.

    Better software translates to easier, more automatic processes for a lot of white and blue collar work.

    This is what I’m getting at. I’m yet to observe any of this.

    I’m living it, but then, for the past 30 years I’ve been building systems that make existing processes more automatic, repeatable, less labor and less mistakes. I’m just building those systems faster and easier than ever before now. This isn’t the only advancement in productivity I’ve seen since I started programming in the 1980s - just one in a long history of significant advancements.