Canadian-Haitian writer Thélyson Orélien has just been awarded the Prix du Roman Fnac for his first novel.
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Critics say the author almost exclusively relied on AI to create his work, based on Pangram’s findings.
Pangram says it “is trained specifically to detect the latest AI models from frontier labs like OpenAI, Anthropic, Google, Meta, DeepSeek, xAI, and more. [They] benchmark against 26 models (so far)…”.
I can probably list more than 26 models off the top of my head. Granted, some models have been distilled against others and will be “detectable” but that’s NOWHERE near a large enough sample size to be reliable in 2026.
You or I could get a flag by that detector in our first attempt, and it wouldn’t take long for a false positive against enough attempts of truly original thought either.
The only thing I’d actually believe is things like Claude’s text watermarking system. However, those systems will never be present for EVERY model, so reliable blanket detection remains an impossibility.
The entropy in written text of meaningful length is simply too great for detection to be reliably possible in 2026, especially considering the changes the author can make.
"Experimenting, I’ve also found that I can pretty reliably get Pangram to declare large sections of text to be AI-written or human-written depending on the larger textual context I place those sections in - that is, I can take AI-generated text and embed it in human-generated text and have Pangram declare it 100% human, and I can take human-generated text and embed it in AI-generated text and have Pangram declare it 100% AI. I’ve also found that it’s pretty easy to induce false positives, that is, to write texts myself that Pangram identifies as AI-written. All of this makes me hesitant about the Pangram tool, and in particular the way many people use it, as a one-shot gotcha machine."
Sounds like it may be very easy for someone motivated enough to find sections, even longer sections, that turn out as 100% AI written.
It's probably as easy as prompting Claude, "Take text from this markdown/PDF file and run it through Pangram tool, figure out a way to, and find, the longest passage from the text that Pangram flags as 100% AI generated", and leaving it spinning in Auto mode for an hour.
Pangram is unreliable on short text, but much more reliable on long form text.
https://www.lapresse.ca/arts/litterature/2026-09-23/thelyson...
Anyway, here's the thread from twitter if people are interested: https://x.com/Pangramed/status/2102383484027171306?s=20
[^1]: https://www.independent.co.uk/arts-entertainment/books/featu...
[^2]: https://www.thetimes.com/uk/education/article/jason-arday-re...
Why would they target these specific 3 black authors? I assume there are hundreds/thousands of successful black authors, 3 "this year" seems very small to call it a targeted attack
Race has not been a part of the public conversation. Not sure if it would have been that way if the guilty person was non-white (but I'm slightly optimistic, given that the first person found guilty was a woman and gender was not part of the discussion).
If that's the case, unfortunately, they're bound to find legitimate fraud eventually. Given the subsequent hard evidence of plagiarism, it seems like this is one such case, and we can't exactly ignore it.
If I had a book that was hoping to win this award, anonymous accusations like this seem like a pretty easy way to shift the odds. It's impossible for the author to disprove the allegations and the award committee will want to 'avoid controversy'
[1] https://www.lapresse.ca/arts/litterature/2026-09-23/thelyson...
> The controversy grew out of accusations from a little-followed, anonymous social media account, which a columnist at Le Figaro, a conservative daily newspaper, later revealed he partly ran.
https://www.nytimes.com/2026/09/25/world/europe/thelyson-ore...
Read the full thread on Hacker News →
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