• I think replacing my boss might be possible. The error and hallucination quota seems similar.

  • 4 hours

    I feel like a variation of this exact article gets posted here every single day for the past year or so, and every time the same comments show up underneath. Nobody ever opens one of these threads and discovers a surprising or novel point of view.

    I don’t understand why people spend their whole day talking about something they don’t like. It’s so bizarre to me.

    • 2 hours

      I don’t understand why people spend their whole day talking about something they don’t like.

      If people left me alone about it then I wouldn’t talk about it…reality is closer to this.

      • 14 minutes

        Where do they not leave you alone about it? 95% of AI related content I encounter online is people complaining about it on Lemmy.

    • 3 hours

      Well it’s not just that people don’t like it, there are a lot of people whose jobs are on the line because of it.

      So I guess it’s kind of hard for them not to keep talking about the thing that’s threatening their livelihood, which makes sense.

      And of course they want to see news that tells them it isn’t going to be so bad and that their expertise will still be in demand.

  • While very different in some ways, some parallels between the AI-driven layoffs and the offshore outsourcing layoffs of the mid-2000s are striking.

    Ultimately both scenarios were/are driven by corporate greed. And it looks like the AI one is backfiring for many of the same reasons as the offshore one.

    They are replacing experienced staff who have strong critical thinking abilities and hands-on knowledge, and the replacements lack the institutional knowledge and the ability to look at the big picture, and they substitute speed for methodological discernment.

    Time is cyclical.

  • Shocker. Just another excuse to fire higher paid workers, point at a line going up (until it doesn’t), say AI a lot, and then hire lower paid workers for the same (or worse now fighting AI in some cases) job.

  • Like, no shit the plagiarism machine that cannot create anything truly novel and can only regurgitate other people’s already existing work can’t replace professionals. I legitimately hope all of these companies go under.

    • 6 hours

      And that all the vibecoding they do instead will eventually turn their whole product into an unmanageable mess which cannot be salvaged.

    • 10 hours

      Oh, and now you need a new fucking degree to learn how to ‘optimize your token usage with well crafted prompts the machine can understand’ otherwise you’ll burn through the energy Cleveland uses in a year, and end up costing the company millions.

      Dumbest fucking bubble so far other than tulips and beanie babies

      • 10 hours

        No it’s dumber. Beanie babies at least left you with a little doll kids could enjoy.

      • 10 hours

        Oh, and now you need a new fucking degree to learn how to ‘optimize your token usage

        In some companies, ‘optimize your token usage’ means using as many tokens as possible.

        • Indeed.

          “AI is good” became “Good employees use AI” became “The more AI the better” became “The more tokens used the better the employee.”

          What’s incredible is that none of these are self-evidently true premises, but rich C-suite aliens managed to buy into the entire illogical chain.

          • 26 minutes

            but rich C-suite aliens managed to buy into the entire illogical chain.

            When many decision-makers are incentivized to only care about their next quarterly bonus or stock grant, just like the subprime crisis, people will absolutely set their company up to fail regardless of the consequences. Companies have trained people they are disposable so why would they act in the long term interest of the company? Economics, that is, incentives, are undefeated in making people do things. It may not be what someone intends, but being naive about economics is why adults are needed in designing reward systems (from government policy to company programs).

      • Two things…

        1. Is…is Cleveland known for high energy usage? I don’t get the reference.

        2. Tulips had a bubble? I’m so confused.

    • 9 hours

      Thing is, they CAN replace “professionals” — which is 80% of the population. They won’t replace the original thinkers, of which there are relatively few.

      And most original thinkers aren’t feeling threatened by AI, as they can figure out something new to do.

      I mean, I remember college. I remember how many people graduated without an original thought in their heads, focused only on getting the credentials to land their dream job. Those are the people generative AI is coming for.

      Has it made life more difficult? Yes. Is it a magic wand that will make companies rich without human investment? Absolutely not. At the end of the day, it’s just making the baseline of human knowledge accessible to the highest bidders, with a bit of randomness and sycophancy thrown in. Which is a step up from confident BS with a bit of randomness and sycophancy thrown in.

  • 2 hours

    “Yeah, lets’t get rid of the knowledge of how our stuff actually works and replace it with a statistics fueled computer, woo, AI all the way!”


    This is what pisses me off the most, the willful disregard for knowledge and skills in organizations.

    If you don’t have the knowledge or skills, specific to your oranizations needs, then you can’t evaluate if the AI is doing a good job.

      • 4 hours

        I mean… That’s not really saying much will change in the majority of cases?

    • 6 hours

      The companies deserves to crash and burn when they finally figure out that the AI did in fact not do such a good job after all, and there will be noone around able to fix it.

  • I work in the food industry in a somewhat big company in Italy. In all the productive process, we have found exactly 1 (one) application for an AI. And I’m not talking about an LLM, but about the good ol’ machine learning: It’s a system that checks the labels of the product to see if they are good or not. It needed training but now it can check if the labels are fit for the market faster than a person. That’s it. That’s the single part of the whole process in which an AI has removed a person and just because it’s a job that a human couldn’t do it fast enough anyway.

    For the rest? The higher ups realized that there’s always the need of human intervention because even the simpler work requires of a decision making that a machine simply can’t do.

    We also have nopilot for the computers but only because it comes with the office package that the company pays. Nobody actually uses it other than to ask it stupid things.

  • 9 hours

    CEOs are getting their pockets filled so, yeah, I think its exactly the way companies think.