• SocialMediaRefugee@lemmy.world
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    9 days ago
    1. Build up reliance on AI, which looks really cheap
    2. You can now replace employees with AI so fire away!
    3. You are now completely dependent on AI and a handful of employees
    4. AI company sees they have you and start jacking up rates. If you could afford paying for people before then you have the $ to pay high rates.
    5. Company now wonders why costs are back to where they were before and the AI isn’t working out as expected.
    • monotremata@lemmy.ca
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      9 days ago

      It’s particularly funny because I’m pretty sure AI companies are still selling the service below cost to try to retain market share (and drive small competitors out of business). They just aren’t taking quite as big a loss on every token with the increased prices.

        • monotremata@lemmy.ca
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          8 days ago

          Yeah. It certainly pays off sometimes. Amazon did it. It just, y’know, also crashes and burns sometimes, and I’m not sanguine about the way this is shifting its investment money from venture capitalists to, y’know, passive index fund investors.

    • TerdFerguson@lemmy.ca
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      8 days ago
      1. AI company hijacks your processes, trade secrets, and market to offer the same thing for cheaper than you can. Raises rates for competitors to cover its own token use and simultaneously drive the others out of business.
    • Batmorous@lemmy.world
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      9 days ago
      1. They see people have gone to new companies thatre private unionized and value customers/employees/etc replacing them as they had done with their employees
      2. The company asks for them to come back to be laughed at as the people watch for them to slowly sink and be replaced with many better alternatives to take their place
      3. That is happening right now and we all can make it happen faster
    • Xerxos@lemmy.ml
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      8 days ago

      Have you heard about “Tokenmaxxing”?

      Since many AI companies didn’t have a reasonable limit on the number of tokens for the amount of money you paid, companies started telling their employees to use as many tokens as possible. LLMs improve with more tokens (although there are diminishing returns).

      So users tried to exploit the ‘lure offer’, and AI companies had to change the billing. It’s still below the real cost, but no longer this insanely expensive option.

  • NM_Gringo@lemmy.world
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    9 days ago

    Someone should remind those soggy, arrogant execs that down here in the developer trenches we survived web services, software as a service, outsourcing, and off-shoring. We’re still here after all that and we’ll still be here after AI.

  • minorkeys@sh.itjust.works
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    9 days ago

    And if we had strong labour relationships, we’d make them fucking pay for having attempted to destroy our lives for profit.

  • rizzothesmall@sh.itjust.works
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    8 days ago

    I replaced all my software team with agents which can work 24h a day on the product and now none of the software works and I’m out $600000 waaaaaa

    • Exec
    • 79WistfulVista@lemmy.world
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      7 days ago

      The bigger problem might be what it will cost to get things back where they need to be. Probably a lot more than $600k. How many of the knowledgeable developers are willing to come back to clean up the mess? Any of them? And at what salary? Possibly a lot more than they were paid before they were kicked out. If you can’t rehire the original developers then you might find others with the required technical skills - but probably not with the domain knowledge. And now costs and times increase further.

  • adhdsergio@lemmy.world
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    8 days ago

    It’s funny because they do this to other people; they just never thought it’d happen to them. FAFO 🫡

  • Dagamant@lemmy.world
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    8 days ago

    Here is how it has gone down for a few companies I have visibillity on:

    • Investors with enough stock to have influence demand the company use AI and cut staff
    • remaining ataff struggles to fit AI into their now bloated workload
    • quality slips and stumbles. a few employees are able to make the transition and cause huge AI bills while attempting to cover the workload
    • everyone gets upset and nothing gets done well

    It looks like investors who have also invested in AI are trying to push its use and it is stumbling all over the place. If a company cant adapt it is basically stripped for parts and sold off to companies that are handling it better.

  • IronKrill@lemmy.ca
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    8 days ago

    I will never understand how is it that such idiots repeatedly make it to the top.

    • Soup@lemmy.world
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      7 days ago

      It’s partly the fact that hundreds of millions of people the world over, possibly several billion people, believe that they only got there because they were competent and do nothing to stop them.

    • Gsus4@mander.xyz
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      7 days ago

      MBAs and such are trained in being confident without knowing anything besides different business grifts.

    • TallonMetroid@lemmy.world
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      7 days ago

      it’s all about the networking at that level. Doesn’t matter how much of a blithering idiot you are so long as you know a guy who knows a guy to get you in.

    • 7101334@lemmy.world
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      8 days ago

      People who get paid exorbitant sums for doing exceptionally little probably try to avoid that concept

      • Ashenlux@lemmy.blahaj.zone
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        8 days ago

        They are usually the ones setting up the too good to be true situations, so they probably never thought they would be on the receiving end of one.

  • bthest@lemmy.world
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    8 days ago

    Here’s a real a cost saving prompt:

    “Translate the contents of every single document in our databases into as many languages (including dead and constructed fictional languages) as possible.”

    Now you can fire the one Hispanic guy you hired because you assumed he could speak Hindi.

  • ceenote@lemmy.world
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    9 days ago

    And the media will keep on shamelessly calling them “job creators”.

    Hopefully some day the average voter will see through that shit.

  • Gsus4@mander.xyz
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    8 days ago

    This has been the case ever since things that seem great, like google cloud computing…and your little project just bankrupted you because you left a tap open over the weekend.