ALL conversations are logged and can be used however they want.
I’m almost certain this “detector” is a simple lookup in their database.
“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”
There is no way it’s that accurate, which is why they don’t want to release it.
She goes to another school
(for intelligent ificial art)it’s only 99.9% accurate because they haven’t released it. As soon as they do, it will quickly fall to 100% as usual. Because this type of thing is exactly what’s needed to develop tech to defeat itself.
What?
Once you have an AI detector, you can use it’s results to train your AI to pass the detector.
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?
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.
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.
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.
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”.
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.
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.
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.
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?
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.
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.
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.
If you believe this, I have a bridge in Brooklyn to sell you
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A routine that just returns “yes” will also detect all AI. It would just have an abnormally high false positive rate.
My model has 100% recall and 50% precision, not bad eh?
But - that model would not have 99.9% accuracy.
Agreed. Personally I think this whole thing is bs.
If they have one, and that’s IF, then of course they won’t release it. They’re still trying to find a use case for their stupid toy so that they can charge people for it. Releasing the counter agent would be completely contradictory to their business model. It’s like Umbrella Corp. but even dumber.
This technology will not be published until the GPT-3 code is released.
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Total coincidence that this “news” appears about a day after several articles saying the AI bubble is starting to burst.
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
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.
Lots of money in the AI hype game, as tech stocks are massively inflated from just this year alone.
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.
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
Doubt
