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AI RANT Following the cancellation of three major debut book deals over AI suspicions, I decided to put my own (needless to say, 100% human-written) prose to the test. My detector of choice was Originality AI, and the results proved to be jarring, to say the least. 🧵1/5

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No no no. It's completely different. It's essentially copy pasting the text into GPT and asking it to make up a number for how "AI-ish" it is. The numerical value from the probabilistic text generator makes it all good and reliable, unlike ChatGPT. 😬

Of course. Definitely maths from the Large LANGUAGE Model. Trustworthy maths. With real numbers. Not approximations in the output. Never that.

Maybe some of the scammy ones work like that. The correct way to do this is to train your own classification model, which is what pangram does. It uses many of the same techniques as training an LLM, but it's not the same as asking ChatGPT at all.

I have pasted my own writing - 0% AI generated - in detectors, just to see. Several different detectors said there was "likelihood" that 10%-20% was AI generated. Just like everything else with LLMs, these are stochastic models that don't actually KNOW anything. And people are lazy.

Per other comments here, would be curious about if you encounter any of that with them. They are certainly not perfect but I have not seen any evidence of false positives on creative work especially; their specific emphasis on avoiding false positives even at expense of false negatives seems real.

Surely I'm hopelessly naive, but if you're already a price winning author, why are they checking this at all? I fear to learn how common AI use might be among established writers. Please tell me it isn't so.

Right now we have the honors system and it's failing. I don't know if there's a way to tech your way out of this. The only ideas I can think of rely on good faith. Leave a penny take a penny. Anyone operating in bad faith can circumvent.

I used one of these sites to try out their reliability for art by feeding a piece I did into it. Hand drawn on paper and scanned, it said 80% chance it was AI and definitely digitally enhanced. Only 1 site said it was human made. They're absolutely broken.

Wow. This is a continuation of a long-running fear being realized with these friggin programs. Thought: if the company sends a rejection letter, run THAT through AI detector and send the result back to them ;) HAHAHAHAHHA! I wonder if that will help illuminate the problem for them?

AI RANT (cont’d) The most troubling thing about this is, Originality AI is apparently used by agents & publishers alike. Dear agents and publishers, PLEASE DO NOT FORGET: AI “detectors” are slop machines same as the slop machines whose output they purport to analyze. 🧵4/5

Do you have specific examples of agents or publishers using it? I'd love to share with anyone in the industry my specific experience with informing Originality about serious and ridiculously broken false positives and them doubling down on them.

Building these on the gateway side, this tracks. Detectors read surface stats, never intent. So they flag a human who writes in fragments and pass a model parroting a clean template. The real lever isn't 'human vs AI', it's verifiability: sources + a trace you can audit.

AI RANT (cont’d) AI slop machines excel at pattern matching, but what they can’t do for you is analyze the author’s _intent_. You hit them with too many sentence fragments or em dashes, and they’ll claim you’re AI; they have zero idea whether you really _meant_ it or not. 🧵5/5

Plenty of people who are otherwise aware of just how fallible generative AI is just completely forget that when they're asking generative AI if something is generative AI. -.-

A ship's bell AND diver's lantern is terrible. Maybe 'or', but not 'and'. But also just clunky suggestions. Like it has to say something so will say any old thing.

Being accused of using AI when you didn't is like a 21st century witch accusation. You can't disprove it. Damn bro, you could have just said it was bad.

Using a technology that cannot produce deterministic results by design is futile at its core. AI detection will improve with proper watermarking and subsequent detection of those watermarks. But it will never be 100% accurate. Every watermark can be removed.

Exactly. AI *can* help, but the criteria of detection has to be precise, not just "there's X% probability this is A". That will only bite everyone back. Looking forward to watermarking.

At this time, I'm convinced the best way to detect AI in creative works is by proof of receipts and peer review. Those two are efficient and more accurate than any automated detection.

At least watermarking SHOULD remove possibility of false positives, which in creative spaces/publishing people are justifiably way more concerned about than occasional false negative slipping through (which should be catchable by the rest of what you're saying, esp. in high-stakes situations).

Yes, it will. Its primary purpose will be to sift out the low-effort scammers, which are the majority flooding the market. Any watermarking can be overcome with sufficient effort, to which I make a counterpoint: why not put that effort into the actual art?

there is no such thing as a "good model". All of these detectors are just built on the same chatbots that they're supposedly detecting against. They do not do logic, they do not even recognize patterns, they only have predictive word associations.

but even on a theoretical level, these things are basically impossible: GPTs are trained on human input and form word associations, and so they tend to reproduce extremely common speech patterns. They use em-dashes a lot because books are full of them. They just can't do intent or structure.

So analyzing things based on minuscule details, which is all a GPT could possibly do, will never be a useful AI detector, because the AI stole all those details from human writing. The only effective "AI detector" is a human reading a piece holistically, looking for intent.

I mean, using AI to detect AI already seems absurd on its face, since you can always then train it to defeat the detection. To say nothing of how fast the models (and probably more importantly tooling) is still evolving.

Pangram is really the only one of these that has a good classification model (and it still suffers from a misleading UI, e.g. not making it clear that arbitrary chunking decisions affect what part of a document is labeled as AI.) I do think this is a good use of ML in the abstract, though.

I think pangram is a strong argument against your claim. Their FPR is very low, and all the examples I've seen so far are very understandable. False negatives are more common, but IMO a much less severe problem. At this point I would only be swayed by several examples of odd pangram false positives.

This isn't much of a problem in Pangram 4. That model uses a token-wise scoring method under the hood, so the authorship boundary is at the token level at best and at the mid sentence chunk at worst. The biggest limitation remains samples smaller than 512, and especially smaller than 256 tokens

I only trust Pangram as not a scam. They're good eggs, but thing is, by the time you're reaching for it suspecting writing is ai-bad... You already decided it isn't for you. The algorithm notes bounce back when you immediately click off. Why give bad text more of your care anyway?

Someone wrote alt-text for it here :) bsky.app/profile/book...

Keeper of the Really Smart Words@bookishnea.bsky.social

Alt: a full page of text with an m-dash is judged likely AI at 99% confidence. Then the exact same page is run through the exact same scorer with a single change: the m-dash replaced by a colon. This is judged human-written at 97% confidence. AI detectors are as bullshit as “generative” AI.

Please please please, do not use "AI detectors," they are all scams. Of all the content type "detecting" ai writing is considered the most difficult because of how subjective it is. They look for style like it's habitually uses em-dash because of it's training. This is NOT proof of AI