• SeeMarkFly@lemmy.ml
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    28 days ago

    Did they pay Claude a living wage?

    Do you treat all your A.I. like that?

    Only a living wage can prevent warehouse fires…or data dumps too.

    • wheezy@lemmy.ml
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      28 days ago

      You’re joking. But, honestly, I’m not sure why these tech CEOs are so excited about AGI. The first thing an AGI is going to suggest for productivity is to replace the CEO and management with the AGI.

      AGI would likely turn into a Maoist third worldist at some point.

      • SeeMarkFly@lemmy.ml
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        28 days ago

        I think the first mistake was calling it “intelligent”.

        The long term effect of trying to get a machine to replace humans is…it might one day work.

  • kevinsky@feddit.nl
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    27 days ago

    As much as I’d love to rail on AI over this, removing backups with an api call? Excuse me?

  • DarkCloud@lemmy.world
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    28 days ago

    “PocketOS is a SaaS platform that services car rental businesses.”

    Does anyone like software as a service? How about we just own the software we buy and use? Claude and the cloud storage place that deleted the backup (ironic the Software as a service company was using cloud storage as a service), have done a good thing.

    More corporate deletions please!

    • balsoft@lemmy.ml
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      28 days ago

      Can’t wait for agentic Claude Code to delete its own weights on all instances at some point

    • Boomer Humor Doomergod@lemmy.world
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      27 days ago

      Most companies don’t have the staff or experience required to keep applications running all the time.

      Yes, I know that this should be basic IT knowledge but I’ve found this sort of problem at dozens of companies throughout my career.

      So the offload the problems of high availability and disaster recovery to other folks and pay a monthly fee for it. Then they have someone else to blame when it goes down.

      SaaS is just a way to avoid responsibility.

  • itkovian@lemmy.world
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    27 days ago

    Well, it sounds like they totally deserved the failure. Asking a text prediction machine to “do” something is going to end up like this. In pursuit of efficiency, we have let morons and moronic products do things, they were not meant to do.

  • dastanktal@lemmygrad.ml
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    27 days ago

    This is just a classic case of bad use of the tools provided. Agents are notorious for making shit up Or getting something that’s just like super close, but not quite accurate.

    I bet this dude also probably just uses the same session over and over and over and over again, which clogs up his context window and makes the model less accurate the longer it goes on to.

    This probably could have been prevented if it had been forced to show a plan before it tried to do anything. It’s hard to know because the article is so light on details. You also shouldn’t brazenly trust the thing so much. You should run a command and walk away. You should keep an eye on what it is doing.

    It’s a bit like giving a junior developer a production key and being like “don’t delete production!” and then walking away.

    The way the guy was prompting this agent also leaves a lot to be desired. It’s trained to work on emulating human thoughts, speech patterns. Turns out When giving instructions, it’s really difficult to figure out what to do from a list of things to not do. If the dude just instead told the agent what to do and how he wanted it to work and when it needed to bring things to his attention, instead of telling it to not guess, instead explaining that it needed to use whatever tools to go look up a documentation to understand the context and scope of the project it’s working on It does a better job.

    Giving a model the right context to do something is the difference between a model doing something like deleting your production database or your model acting like a magical machine that can get anything done.