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Comment by smallerize

4 hours ago

Translation: No one can ever again use Claude for proofreading their own prose unless they’re willing to risk that the whole thing might be flagged as having been generated by Claude.

I think that was intended, yes.

You know, back in the era when proofreaders were human, I never one met a proofreader who rewrote my text afresh, rather than annotating the text with a pen.

It's still possible to use Claude to proofread - highlight grammatical, flow, structure, logic errors and make simple suggestions for you to pick and choose or adapt as you wish. No watermarking will flag your text. No flaw accusations of LLM authorship will haunt you. All will be fine.

But if you want an LLM to rewrite your text, that's (a) not proofreading, and (b) should be flagged as LLM generated ... because it is.

  • Nonsense. Forget proofreaders. Think editors. In publishing some editors practically wrote the books. And then theres ghostwriting ! Think of that!

I'm not sure the quoted statement is true. Proofreading like "point to problems in the text", if you fix the problems yourself and don't copy-paste the solutions given to you, should still be safe, shouldn't it? So, human-written text should not be falsely flagged if you use LLM for proofreading.

And if you copy-paste the answers from LLM, I think it's only fair the end result gets flagged. You're not writing it yourself.

  • > And if you copy-paste the answers from LLF, I think it's only fair the end result gets flagged. You're not writing it yourself.

    I wonder if it would even get flagged in that case, because wouldn't the probability distribution of a token when the LLM is suggesting an edit to your writing be different than the distribution of that token once it is in the context of the text it's editing?

The question is, when is the "pro writer" version coming that lets you control this behaviour but costs more? Like night follows day, this will happen.

They will need to dodge around the EU requirements but it will probably just come down to an alternative method to watermark or a contractual assurance you won't mis-represent the source of the text.

Can't the LLM just generate e.g diffs? Or some other intermediate language. Then the watermark is lost when the translation step is applied.

The thing that could change is interpreting "the whole thing as generated by Claude"

  • Well yeah, if it's output from Claude it's likely to get detected as being output from Claude.

  • It’s a strawman argument because if the LLM is really just “proofreading” for you, there will be little or no watermarked text in your writing. Not enough to trip the watermark detector.

Rands made this point a few days ago as I recall. Worries about having his tool corrupt his writing during editing, etc.

It is quite just, if you think about it. Human works are copyrighted and protected at the moment of creation. All rights reserved. Yet, LLM outputs are uncopyrightable. Therefore, if Claude or any AI has processed my copyrighted work, the end result is uncopyrightable and in the Public Domain. The public has a right to know: is this a human copyrighted work, an LLM PD work, or is the human falsely claiming authorship in order to retain copyright?

A point of confusion for me, however: is every watermark unique? Is every algorithm for watermarking going to vary amongst models and amongst model versions? Will each model publisher keep this watermarking as a trade secret, that they alone can detect? If so, this can't scale! How do you detect "JoeBob 4.3 LLM" output? By querying every single model's watermark-detector? And if they all work by re-running the model and using tokens anew? That is extraordinarily wasteful.

If a watermark is not self-evident, or universally detectable, then it is no good. Take, for example, US currency. The security measures are published and well known. Any count-out room in retail has a big poster indicating how you can detect authentic US bills. Nobody has to accept non-US currency in the US, and so the only authenticity you need to worry about is your US bills alone. LLM watermarking has none of this in common. Currently sounding like a shitshow, if you ask me.

  • As I understand it, the current watermarking methods rely on a secret key, making the detection schemes a black box to anyone not in possession of the key. This means organizations like Anthropic are free to make any claim about authorship they want, true or not, and no one can call them on it.

    • Part of the legislation requires them to make a public AI text detector (ala GPTZero I assume).

      Wouldn’t having that be enough to eventually reverse engineer the key?

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  • Perhaps LLM outputs are uncopyrightable, but derivative works of copyrighted works are not automatically in the public domain.

    • That's an intriguing twist, isn't it? It could lead to a tug-of-war.

      Working backwards: if it is possible to confirm 100% confidence that a chunk of text is LLM output, then it is "PD until proven otherwise". How can a human reliably assert human authorship of their source text? When all watermark tests fail? Is that proof of humanity now?

      If a human proves human authorship, and LLM watermarking tests positive, then is that going to be considered a "derivative work" or not? What if there is an applicable license for the source work, such as "CC-BY-ND" that prohibits derivative works?

      This has not been court-tested, and I expect that it will need testing at that level before we can have any assurances.

      6 replies →