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.
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…
Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
31–40 of 776 posts
Re: Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
#32This is not meant to be snarky, But almost any writing done by Claude is a perversion of writing. I honestly can't stand the way Claude writes. This watermark change just makes it scarier.
Re: Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
#33Some here are arguing that mechanisms used by LLM providers already derail the goal of "the very best, most precise words at every single decision point", therefore the author is misguided. The author has expressed a preference. Assume that there is a sequence of tokens, such that it is considered the absolute best by the author. This particular method of watermarking makes it less likely to generate that sequence, b…
Re: Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
#34Re: Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
#35Earlier quoted context omitted.
I think this is a key reason why humans write better prose than LLMs - we can try to choose the best word every time, and go back and restructure sentences and paragraphs if we want. On the other hand, LLMs are forced into picking some likely-ish word, and then have to build the rest of their response to retcon that choice into making sense. Even good human writers would probably struggle with this constraint. It wou…
auto-oulipo
But what about the general idea that they can watermark results to tell where they came from. The next step is tracking down which user got a result. I hate both of these things. Must everything we do be tracked? Next altering wikipedia results so they can tell who looked at the page or something?
I'd like "the best answer" from an llm and don't want to be tracked, but this isn't for me, it is for them. I understand llm results are already using a varying statistical input so they aren't always the same. But I really hate watermarking and likely tracking too.
Re: Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
#36> I want any LLM I use to choose the very best, most precise words at every single decision point. Then bad news: LLMs already use randomness in a fundamental way. Each time they go to generate a token, they first generate a probability distribution of possible tokens. Then they pick one randomly according to this distribution. The technique described can be thought of as making the random number generator pseudo ran…
I think this is a key reason why humans write better prose than LLMs - we can try to choose the best word every time, and go back and restructure sentences and paragraphs if we want. On the other hand, LLMs are forced into picking some likely-ish word, and then have to build the rest of their response to retcon that choice into making sense. Even good human writers would probably struggle with this constraint. It wou…
Re: Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
#37Some here are arguing that mechanisms used by LLM providers already derail the goal of "the very best, most precise words at every single decision point", therefore the author is misguided. The author has expressed a preference. Assume that there is a sequence of tokens, such that it is considered the absolute best by the author. This particular method of watermarking makes it less likely to generate that sequence, b…
You can't assume that because if that was the case he'd already know what sentence to write, because that's what that means.
The notion of a best sentence requires a final cause, an end to write to. By their very nature that's not how LLMs work, so you can't 'degrade' them on that front. They can't lose a property they didn't have.
Re: Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
#38Re: Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
#39> I want any LLM I use to choose the very best, most precise words at every single decision point. Then bad news: LLMs already use randomness in a fundamental way. Each time they go to generate a token, they first generate a probability distribution of possible tokens. Then they pick one randomly according to this distribution. The technique described can be thought of as making the random number generator pseudo ran…
I think this is a key reason why humans write better prose than LLMs - we can try to choose the best word every time, and go back and restructure sentences and paragraphs if we want. On the other hand, LLMs are forced into picking some likely-ish word, and then have to build the rest of their response to retcon that choice into making sense. Even good human writers would probably struggle with this constraint. It wou…
Re: Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing
#40> I want any LLM I use to choose the very best, most precise words at every single decision point. Try running an llm like qwen 3.8 27B in Q8 locally with an intentionally very low temperature setting, it will write like a caveman crossed with a robot. You may find that an extremely literal output does not look pleasant to read for humans.