Amazon has told employees that the AI token statistics would not be used in performance evaluations. But several staff members said they believed managers were monitoring the data.

  • Windex007@lemmy.world
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    4 hours ago

    When a measure is used as a metric, it ceases to be a valuable measure.

    It’s literally a software engineers job to consider and understand functions. If you tell me I’ll be judged by the output of a function, I will crack it open to understand what inputs maximize outputs.

    I’ll burn though however many tokens you want me to. Give me hardware and a blank cheque I’ll bring a data center to its knees. I’m guessing your hope was that tokens burn would translate into productivity, but that hope was misplaced and that failure is on you.

    • Landless2029@lemmy.world
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      7 minutes ago

      And the only way to prevent this would have been keeping it away from managers eyes.

      Only the AI team should have access to that data. Maybe a separate “efficiency” data team can crunch numbers on completed tasks vs tokens.

      Never let managers or end users see a chart of token usage. That’s just stupid.

      This is just going to burn compute even more on LLM crap for no reason. Just burn it all down.

  • Chulk@lemmy.ml
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    10 hours ago

    This is going to all collapse so horrifically once AI companies change their payment model to token usage rather than a flat monthly fee. It’s already starting with Microsoft and Google. Anthropic is the last (and most consequential) nail in the coffin.

    Companies are building entire workflows around AI, but they are building them under the assumption that they won’t ever be charged per token.

      • Chulk@lemmy.ml
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        9 hours ago

        Yeah I can’t say I feel bad for anyone involved. But something tells me the people who created this problem won’t be the ones suffering consequences.

        • Almacca@aussie.zone
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          8 hours ago

          Yeah, I’m sure they’ve got their golden parachutes ready, and will move on to the next scam.

    • GamingChairModel@lemmy.world
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      9 hours ago

      Companies are building entire workflows around AI, but they are building them under the assumption that they won’t ever be charged per token.

      Or worse, where the AI models underpinning a workflow breaks or degrades in some way to reduce token usage and then starts behaving in unexpected ways, in a process/workflow that assumes a particular type of behavior.

  • Sundray@lemmus.org
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    9 hours ago

    Misread this as “tokemaxing.” And if you’ve ever had to work at a warehouse… yeah.

  • gedaliyah@lemmy.world
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    9 hours ago

    Yeah… totally normal that a new technology has to be shoehorned into the workforce. I’m sure they only need to enforce its adoption because it is so useful.

  • bridgeenjoyer@sh.itjust.works
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    9 hours ago

    Can I do this at work without getting caught ? Our folks are well meaning but caught up in ai hype and have no idea how any of it works just that “its the future”. They dont know anything about computers in general. I often have to explain how bad of a job it does and how useless it is for 99% of our jobs.

    I’d like to waste all our tokens on it so they stop paying altman thousands a month for it.

    • PolarKraken@lemmy.dbzer0.com
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      48 minutes ago

      You can always simply lie and say that you get great results when you send it huge amounts of text and really spend time to correct what it’s getting wrong over the session.

      If you can make it sound like genuine advice and enthusiasm (that you’re simply wrong about), well congrats, you look like a real team player, and you cause anyone who believes you to also believe that those delicious productivity gains are just another few thousand yeeted tokens away.

      Your failure to demonstrate such, should it ever come to that, can result in something like “I swear they made changes, they keep doing that silently. This used to work.” Which points to a huge and real problem, while covering thine ass.

      This isn’t how I operate at work, to be clear, but I’m in a way different situation. Sooner your org realizes there is no mythic Shangri-La to be found, the better for all, I figure.

  • Alex@lemmy.ml
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    7 hours ago

    I have API access at work because I don’t want to be tied to a UI. I’m very aware of the cost because I’m trying to see where it offers good value for money.

    Of course things like the deep research and notebooklm are covered by the Google workplace fees which while including more than the personal plans are also a fair bit more expensive.