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 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.
I call bullshit.
Did they claim it or prove it? I don’t believe anything tech says
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.
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.
It’s actually 1 in 1000, 99.0% would be 1/100.
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%.
I know what a false positive is, and it’s not a thing when talking about effectiveness, they claim it gets it right 99.9% of the time.
Let me guess: too much processing power?
There is no way it’s that accurate, which is why they don’t want to release it.
“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”
She goes to another school
(for intelligent ificial art)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.
This technology will not be published until the GPT-3 code is released.
Doubt
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.
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.
I wonder if this means they’ve discovered a serious flaw that they don’t know how to fix yet?
The flaw is in the training to make it corporate friendly. Everything it says eventually sounds like a sexual harassment training video, regardless of subject.
I think the more like explanation is that being able to filter out AI-generated text gives them an advantage over their competitors at obtaining more training data.
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.
If u release an api for it u can still use that to make training data to beat it.
That’s what the Chinese tried with chatgpt. Didn’t go well.
This is the reason. Releasing it would invalidate it.
