• RBG@discuss.tchncs.de
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    3 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”

  • vrighter@discuss.tchncs.de
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    3 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.

  • Alphane Moon@lemmy.world
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    3 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”.

  • Cyteseer@lemmy.world
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    3 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.

  • x00z@lemmy.world
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    3 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.

  • Naich@lemmings.world
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    3 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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      3 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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        3 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.

      • doodledup@lemmy.world
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        3 months ago

        Why does everything have to be about the USA these days? I’m tired of this joke of a wannabe democracy. Don’t want to hear it. Nobody cares. Just stop and leave it to yourself.

  • Echo Dot@feddit.uk
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    3 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

  • DrCataclysm@lemmy.world
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    3 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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      3 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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        3 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%.

  • Dr. Moose@lemmy.world
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    3 months ago

    Lots of misinformation in this thread. Yes they have it, it’s good but it’s probably nowhere close to 99.9% accuracy.

    The primary way to detect AI is to inject a fingerprint into AI generation in the first place. This means only the model creators can do that. We don’t exactly know how the fingerprint works but it can be as simple as preferring 1 word synonym over the other. For example preferring word synonyms like “illustrate”, “peer” etc. quickly ads up to a statistical

    These techniques pre-date chatgpt itself and do work! However there are a lot of caveats:

    • The fingerprint has to be trained for each model meaning each model version performs slightly differently and only owners know the fingerprint.
    • The fingerprint test can only work on longer bodies of text that are not modified further.
    • Extending model through more complex instructions (like character, tone) or RAG can significantly decrease the effectiveness.

    The industry is understandably very secretive about it but your low effort chatgpt copy/paste can be detected by OpenAI and nobody else.

    As for public release of the fingerprint: they can’t as it can be reverse engineered so it’s only valuable as an internal tool for now. Also if released it would serve no real purpose as detection can be easily defeated by remixing content to dilute the fingerprint.

    • EnderMB@lemmy.world
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      3 months ago

      Agreed. Frankly, if someone were to say “we can detect with 99% accuracy” I imagine that someone would say “well, clearly your measurements are wrong, find the issue and come back to us when it’s fixed”.

    • conciselyverbose@sh.itjust.works
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      3 months ago

      but your low effort chatgpt copy/paste can be detected by OpenAI and nobody else

      Low effort copy pastes can absolutely be detected by people who aren’t openAI. The consistent “advanced” vocabulary and excessively formal grammar used correctly, but with clear and significant comprehension gaps are pretty damn consistent. You won’t get perfect reliability, but you’ll catch most of it and you won’t have a huge number of false positives.

      Real people don’t sound like GPT.

      • Dr. Moose@lemmy.world
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        3 months ago

        No that’s in no way reliable way of catching anyone and I hope people smarten up and avoid this snake oil entirely. I’m borderline jealous how these “ai catchers” are making so much money from straight up snake oil.

        • conciselyverbose@sh.itjust.works
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          3 months ago

          An algorithm can’t.

          Plenty of humans absolutely can. LLM writing is genuinely fucking terrible. It has the slightly stilted over formality of most non-native speakers, without the intelligence being fluent in a second language implies.

          Flawless grammar with a complete absence of any sign of intelligence is not something you get regularly from humans.

          • Dr. Moose@lemmy.world
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            3 months ago

            The “can” is irrelevant here. Checking tool has to be reliable to be useful. What’s the use of having a checker that maybe detects something sometimes somewhat successfully?

            • conciselyverbose@sh.itjust.works
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              3 months ago

              There’s a massive gap between “you can’t make a tool” and “you can’t identify it”.

              The problem with a tool is the exact same as the issue with LLMs to begin with. It does not resemble intelligence or comprehension in any way and cannot use it as an indicator.

              But the use of LLMs is absolutely identifiable to moderately intelligent humans, because LLM output has raw language skills wildly inconsistent with every other skill that is part of writing.

              • Dr. Moose@lemmy.world
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                3 months ago

                What’s even point of your argument? That a detective can figure out who used AI? Yes detectives can figure out most stuff. This is completely irrelevant to the topic at hand my dude.

                • conciselyverbose@sh.itjust.works
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                  3 months ago

                  What are you talking about “detectives”?

                  You said “nobody can identify LLM use” when any moderately intelligent human can identify LLM output pretty easily. It explodes off the page.

  • chiisana@lemmy.chiisana.net
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    3 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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      3 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.

  • nomad@infosec.pub
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    3 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.