• IninewCrow@lemmy.ca
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    3 months ago

    How many of these books will just be totally garbage nonsense just so they could fulfill a prearranged quota.

    Now the LLM are filled with a good amount of nonsense.

        • Naz@sh.itjust.works
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          3 months ago

          I suggested this term in academic circles, as a joke.

          I also suggested hallucinations ~3-6 years ago only to find out it was ALSO suggested in the 1970s.

          Inbreeding, lol

        • adr1an@programming.dev
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          3 months ago

          In computer science, garbage in, garbage out (GIGO) is the concept that flawed, biased or poor quality (“garbage”) information or input produces a result or output of similar (“garbage”) quality. The adage points to the need to improve data quality in, for example, programming.

          There was some research article applying this 70s computer science concept to LLMs. It was published in Nature and hit major news outlets. Basically they further trained GPT on its output for a couple generations, until the model degraded terribly. Sounded obvious to me, but seeing it happen on the www is painful nonetheless…

        • Benn@lemm.ee
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          3 months ago

          It’s quite similar to another situation known as data incest

      • rickyrigatoni@lemm.ee
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        3 months ago

        It can only go right because corporations must be punished for trying to replace people with machines.

    • Poplar?@lemmy.world
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      3 months ago

      That would be terrible because they are both some of the best academic publishers in the humanities.

  • Etterra@lemmy.world
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    3 months ago

    So what you’re saying is, don’t beat the targets because fuck those guys. Understood.

  • SlopppyEngineer@lemmy.world
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    3 months ago

    Soylent Green is a lie anyway. Your need to “soylentify” half the population to feed the other half every year if it would be the only source of calories.

    • SpaceNoodle@lemmy.world
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      3 months ago

      No, the point is that they’re just recycling the dissidents they were going to murder anyway.

    • JusticeForPorygon@lemmy.world
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      3 months ago

      AI absolutely has its benefits, but it’s impossible to deny the ethical dilemma in forcing writers to feed their work to a machine that will end up churning out a half assed version that also likely has some misinformation in it.

        • JusticeForPorygon@lemmy.world
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          3 months ago

          I don’t think so, at least for a little bit. Big cooperation will surely try to market it that way, but we’ve already seen how badly AI can shit the bed when it feeds on its own content

          • Fermion@feddit.nl
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            3 months ago

            The trouble is that a fad doesn’t have to be functional to be used by short-sighted trend chasers as a justification to make cuts. How many jobs did we see outsourced to India in a way that didn’t even come close to matching the quality of the people laid off? The people who make the decision to replace jobs with ai systems will loudly declare success and move on to their next role before the long-term consequences are fully realized.

        • Anyolduser@lemmynsfw.com
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          3 months ago

          It will take some people’s professions. People who write click bait articles, schlock product reviews, and pulp romance novels, and the things modern Hollywood describe as scripts might be out of a job.

          Quality novels, hard-hitting journalism, and innovative storytelling of all sorts is outside of the capability of LLMs and might always be. There’s a world where nearly all run-of-the-mill writing is done by LLMs, but truly original works will always be made by people.

          At the end of the day, though, if a person can’t out-write an AI they might be in the wrong line of work.

    • lone_faerie@lemmy.blahaj.zone
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      3 months ago

      AI as a technology is fascinating and can be extremely useful, especially in places like the medical field. AI as a product in its current state is nothing more than dystopian plagiarism.

    • driving_crooner@lemmy.eco.br
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      3 months ago

      The company I work for recently rolled up copilot and is have been a mixed bag of reactions, the less savvy user were first blowed up by the demonstration but then got exasperated when it didn’t worked as they tough (one of them uploaded an excel file and asked to some analysis it couldn’t do, and came to me to complain about it), but for me, and my team had worked great. I’ve been uploading some of my python and SQL scripts and asking for refactoring and adding comments, or uploading my SQL script and some example I found on stackoverflow and asking for it to apply the example method on my script.

      I say to everyone that if they don’t know shit, the AI isn’t not going to help a lot, but if you have at least the basic, the AI would help you.

      • funkless_eck@sh.itjust.works
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        3 months ago

        even just on simple stuff I asked it to generate a description on something like

        if x then set z to null

        and it returned

        “this will set z to null if x is true or false”

        like easy to edit, but you have to pay attention.

    • AbeilleVegane@beehaw.org
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      3 months ago

      I like AI. But I’m not sure I like the way we use it if it’s only to meet shareholders’ expectations or to be a tool for greedy people. What is your opinion concerning the way we seem to use AI in academic research?