• Alphane Moon@lemmy.world
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    5 months ago

    Given a sufficient amount of text, the method is said to be 99.9 percent effective.

    If that’s really the case, they should release some benchmarks. I am skeptical. Promising the world is a key component of their “business model”.

  • RBG@discuss.tchncs.de
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    5 months ago

    “A 99.9% accurate ChatGPT AI text detector? At this time of year! At this time of day! In this part of the country! Localized entirely within your company?!?”

    “Yes”

    "May I see it?“

    “No”

  • DrCataclysm@lemmy.world
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    5 months ago

    The detection rate is worthless, an algorithm that says anything is Chatgpt would have a detection rate of 100%. What would be more interesting than that is the false positive rate but they never talk about that.

    • JohnEdwa@sopuli.xyz
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      5 months ago

      The detector provides an assessment of how likely it is that all or part of the document was written by ChatGPT. Given a sufficient amount of text, the method is said to be 99.9 percent effective.

      That means given 100 pieces of text and asked if they are made by ChatGPT or not, it gets maybe one of them wrong. Allegedly, that is, and with the caveat of “sufficient amount of text”, whatever that means.

      • oktoberpaard@feddit.nl
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        5 months ago

        A false positive is when it incorrectly determines that a human written text is written by AI. While a detection rate of 99.9% sounds impressive, it’s not very reliable if it comes with a false positive rate of 20%.

  • vrighter@discuss.tchncs.de
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    5 months ago

    it’s only 99.9% accurate because they haven’t released it. As soon as they do, it will quickly fall to 50% as usual. Because this type of thing is exactly what’s needed to develop tech to defeat itself.

  • Cyteseer@lemmy.world
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    5 months ago

    If they aren’t willing to release it, then the situation is no different from them not having one at all. All these claims openai makes about having whatever system but hiding it, is just tobtry and increase hype to grab more investor money.

  • Naich@lemmings.world
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    5 months ago

    Total coincidence that this “news” appears about a day after several articles saying the AI bubble is starting to burst.

    • Melvin_Ferd@lemmy.world
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      5 months ago

      It is nut. Who is paying for all these articles and why are they hell bent on convincing everyone that AI is to the left like immigrants are to Republicans

      • Saledovil@sh.itjust.works
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        5 months ago

        Language models in the end, are just statistics. And to make statistics more accurate, you need more data. Exponentially more data. At the same time, the marginal utility of precision decays exponentially. Exponentially increasing marginal costs are met with exponentially decaying marginal utility.

    • StarDreamer
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      5 months ago

      A routine that just returns “yes” will also detect all AI. It would just have an abnormally high false positive rate.

      • BluesF@lemmy.world
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        5 months ago

        My model has 100% recall and 50% precision, not bad eh?

        But - that model would not have 99.9% accuracy.

        • StarDreamer
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          5 months ago

          Agreed. Personally I think this whole thing is bs.

    • KeenFlame@feddit.nu
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      5 months ago

      Ofc they just look in their database if this is something it has ever said and to who

  • x00z@lemmy.world
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    5 months ago

    ALL conversations are logged and can be used however they want.

    I’m almost certain this “detector” is a simple lookup in their database.

  • Echo Dot@feddit.uk
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    5 months ago

    Probably because it doesn’t work. It’s not difficult for Open AI to see if any given conversation is one of their conversations. If I were them I would hash the results of each conversation and then store that hash in a database for quick searching.

    That’s useless for actual AI detection

  • nomad@infosec.pub
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    5 months ago

    The detector is most likely a machine learning algorithm. That said, releasing that would allow for adversarial training. (An LLM that would not be detected). Therefore they can only offer maybe an api to use it but can not give unlimited access to the model.

  • chiisana@lemmy.chiisana.net
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    5 months ago

    They’re keeping everything anyway, so what’s preventing them from doing a DB look up to see if it (given a large enough passage of text) exist in their output history?

    • _edge@discuss.tchncs.de
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      5 months ago

      I believe the actual detector is similar. They know what sentences are likely generated by chatgpt, since that’s literally in their model. They probably also have to some degree reverse engineered typical output from competing models.