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It’s all called “AI Slop” for a reason. Getting upset that the slop is going to be a tad bit sloppier, in the interest of making it more easily detectable, is an odd hill for a professional writer to choose to die on. You are giving these systems FAR too much credit and discernment.

Caring about the quality of AI prose is the source of our collective confusion. I don’t expect watermarking to work well either. But that someone who claims he cares so much about writing would even consider using AI at all is simply shocking. That you called your critics “idiots” is just petty.

That was hard to read. Never had the feeling AI produced „good writing“ anyway, so why cry about it? Also some regulation finally is wanted and desperately needed. Know this: the reason I read your blog is exclusively because you, a human, finds, selects, comments on important news by hand.

I'm perfectly OK with making plagiarism and AI laziness more readily detectable. Cynically, I think this is actually an effort to make it easier for AI companies to avoid ingesting generated content in their training data.

Lolololol. It's funny seeing plagiarism app users cry about this. And the funniest thing about your complaint is that almost certainly 1 reason they're doing it is to protect their app from model collapse, i.e., being reduced to gibberish by being trained on its own vomit. bsky.app/profile/sjon...

SJones@sjoneswastaken.bsky.social

As AI begins to train on material produced by another AI that was trained on material produced by an AI, model collapse occurs. This has already been demonstrated experimentally. www.popularmechanics.com/technology/a...

The argument about watermarking doesn’t make sense. LLM’s already don’t select the “best” or “most precise” next token by design! The token is sampled randomly from a distribution. This simply changes the distribution, but it’s misguided to believe that there exists an “optimal” distribution.

Well ackchually you can play with temperature, lower temperature = actually pick the highest probability token virtually every time. But there's a reason LLMs don't run with temperature 0. A writer would surely hate the output of such an LLM.

EXACTLY! I felt like I was takin' crazy pills reading John's essay. This isn't like it's fudging math or changing variable names in code. Writing is largely subjective anyway, and -- as you rightly note -- LLMs were never picking the "best" or "most precise" words!

“The exact words we choose when writing matter”, says man trusting exact word choice to closed-source, deterministic algorithm controlled by corporation

The language models themselves are deterministic, but the random ‘seed’ isn’t exposed to users. If you run one locally and keep the starting parameters consistent, the output is repeatable.

I think this watermark scheme sounds fine, in that I am wholly against using “AI” for writing at all. @gruber.foo you only care about word choice so much because you are a writer! But if someone is copying Claude output verbatim, that person is not a writer. 1/

They already don’t care about nuance or shades of meaning or meter or anything else. If this watermark makes it easier to catch these people then awesome, fuck them, they should choose their own goddamn next word and not let the robot do it

John. I think you have lost all perspective and sense on this one Claude is the problem here, not any eu interference And I think most people get that but you have a bias which is clouding your judgement

This isn’t a zero sum game. It’s both possible for Claude to write like shit AND think that sometimes governments have bad ideas for how to regulate the specifics of tech products.

Absolutely. Really turned me off reading Daring Fireball now. He used to be the go to guy for mac stuff for me, but the anti-eu diatribes are getting old. At least the EU is making an effort to protect its citizens as opposed to totally abdicating all responsibility to a bunch of billionaires

For example he bitched about eu usb c enforcement from a technology progress position and never once conceded the practical and environmental benefits But the length and tone of his latest screeds betray something else. There is a detachment from reality evident

I really think your anti-EU hysteria is blinding you to how people feel about AI. People want to know when it's been used, they want to avoid it. These methods seem weak to me but they are wanted.

All the time! My previous home is right along the city boundary, but Google Maps has the boundary wrong and says it's in the neighboring city. Considering how easy the official maps are to find, I'm sure that's not an accident!

Suppose the model has a 49.9% probability of choosing banana, and 50.1% pineapple. Today, without watermarking, you run the model twice and get two different results. Sure, watermarks modify the probability. But you’re still getting a word it was *already* choosing half the time?

Banana, the “inferior” word, was already showing up in your output before. I don’t think watermarking makes the model produce something it wasn’t already doing. I could be misunderstanding how it works though, it’s all kinda way over my head. 😅

I read through John's very long rant, as well as the supporting documentation and referenced essay and... I think this is a lot of ado about nothing. Nothing practical or perceptible, that is.

You will note that Anthropic doesn't provide before / after examples. Nor do they yet provide a watermark detector. Google apparently has been using this in Gemini for a while and don't provide a detector either.

In most cases *including the examples John gives*, the diff is largely in preference, not meaning, since the contextual intent itself generally can't be inferred. And even if I'm wrong there, if John really prefers bananas vs. pineapples, *he can just substitute that text if/when he repurposes it!*

That is ridiculous. Corollary- no startup should spend money on green energy because that wastes VC money. You give up clarity every time you watch streaming video or don’t listen to vinyl. People put secret messages in text for millennia. At least it’s not an 88.

Unless, apparently, that “tool” (😉) is a human being sacrificing his or her remarkable, unique and unpredictable abilities by inserting the output of a mindless word sequence generator into ‘their’ work.

Hey John, consider doing a little research: bsky.app/profile/timk...

mr. TIM@timkellogg.me

people are angry at Anthropic watermarking Claude even though: 1. OpenAI is also doing it 2. Google has been doing it 3. It’s the EU making them 4. Google invented the technique 5. Google already A/B tested it on a 20M dataset, verified it doesn’t impact quality www.nature.com/articles/s41...

how tf does one live through Opus 4.7 through 5 and only afterwards, when watermarks are being introduced suddenly get concerned about clarity. holy shit

Came here to say what everyone else is saying: it seems weird to have a take based on the purity of writing when that writing has been ceded to a machine under someone else’s control

When choosing to include LLMs in the process, the role of an author shifts from plain wordsmith to editor. You’ve used the word directing before to describe AI assisted software development; the same kind of role shift is taking place here, too.

If watermarking degrades the output, does that really differ from a junior writer as your assistant? Philosophically I guess yes, they have differing goals. But AI generated is AI generated and should be treated as such.

English being the most expressive language just because Borges liked it is probably one of the worst takes I read in a while, extremely US centric take too. I say this as an Argentinian who read Borges and has Cambridge English Language certifications. Borges was a great writer with terrible takes.

"Sacrificing clarity, coherence, meaning, quality" etc. is in the sense described inherent to prompting an LLM, and not in any way added to by the watermarking process. You do not have more control as the end user over a RNG than a PRNG.

But my objection does not apply to all LLM writing. LLM output can be better or worse. I am more convinced today than a week ago that SynthID watermarking makes it worse. Maybe only slightly worse. But it has to be worse. That’s how it works.

@snell.zone In addition to the excellent points you made, it’s also chilling echo of the printer tracking dots used to put Reality Winner in prison. Now your “trusted assistant” is secretly ratting you out, encoding covert messages like some kind of hostile double agent.

I bet Claude, as bad as it is, understood the article better than almost everyone responding here. Jumping on a band wagon is more important than reading comprehension, it seems.

Claude itself is already a perversion of writing—my writing, that I’ve written and published over thirty years, that it stole from me—and if it is to be allowed to exist at all, its loser users should forever be forced to bear the mark of shame. What it makes isn’t “writing” at all, it’s plagiarism

Honestly this sounds like exactly what I’d want, if it works. Lets us use AI for coding or research, but keeps it out of creative writing, school papers, posts, etc.

Reading your various posts on this I was reminded of the web3 era. In both cases, there's an assumption that we can find an algorithmic solution to a fundamentally human problem, and in doing so we introduce new problems.

Fair; that was the claim. Which led to an ecosystem of every con game ever invented. Because they all start with “trust me…”

The obvious answer is you actually read the output and decide if the word choice is appropriate. I guess you aren't already doing that? I guess you only care now when that output comes with receipts.

But did you really never in a print publication compromise your sentence structure or word choice… in order to spell a hidden word from the first letters down the edge of the page? It's super fun… I even have some in my dissertation. 😃