New Claude models to include watermarks inside text - link
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Poast new message in this thread
Date: August 10th, 2026 5:29 PM Author: Razzmatazz place of business
https://x.com/M1Astra/status/2086898041882030353
Does this mean teachers, judges, etc will be able to know you used Claude AI? Seems like a gift for ChatGPT if so.
(http://www.autoadmit.com/thread.php?thread_id=5891530&forum_id=2",#50058690) |
Date: August 10th, 2026 5:33 PM Author: boyish insanely creepy multi-billionaire crackhouse
idgi. cant you just be like claude write me a 500 wd essay, then print it out and retype it into word? So you're just adding one step.
tbf even adding that one step might actually cut down significantly on ai plaigiarism. idk. people react funny to things
(http://www.autoadmit.com/thread.php?thread_id=5891530&forum_id=2",#50058698) |
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Date: August 10th, 2026 5:40 PM Author: nubile house-broken pocket flask
You could watermark AI text by using a secret key to bias otherwise natural word choices.
At selected points, a keyed PRNG decides which of several semantically equivalent choices is preferred. Those choices encode bits, and a verifier with the same key checks whether the observed choices correlate with the expected pattern.
For example:
"however" = 0, "but" = 1
"large" = 0, "big" = 1
"because" = 0, "since" = 1
If the secret pattern is:
1 0 1 1 0 0 1...
the model subtly favors the corresponding choices. To a reader, the prose still looks completely normal.
A more sophisticated version would not use obvious synonym pairs. Instead, candidate next tokens could be secretly divided into two groups with something like:
bit(token) = HMAC(K, context || token) mod 2
To encode a 0, slightly favor tokens from group 0; to encode a 1, favor group 1. The result is a keyed statistical signature rather than an obvious hidden message.
You also would not need every bit to survive. Add redundancy with an error-correcting code, parity bits, and repeated/interleaved copies of the watermark throughout the text. Then even if large sections are deleted, reordered, or rewritten, the verifier can recover enough surviving signal to identify the watermark statistically.
For example, across 500 surviving tokens, if 68 percent match the secret expected groups instead of the roughly 50 percent expected by chance, the verifier can assign a confidence score that the text came from the watermarked generator.
(http://www.autoadmit.com/thread.php?thread_id=5891530&forum_id=2",#50058716)
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Date: August 10th, 2026 5:49 PM Author: Up-to-no-good sticky address
"I'm gay"
- This text was generated using Claude Fable 5, a "Mythos-level" frontier AI model by Anthropic.
(http://www.autoadmit.com/thread.php?thread_id=5891530&forum_id=2",#50058746) |
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