Please bring to the other models, and also please only apply the AI text watermarking only to EU citizens. I may not be able to tell when Claude writes about things i don't know, but in CC it writes about my code and it is obvious.

My reading of the law was that watermarking is not required by it at all.

It’s a convenient excuse for the companies that want to add watermarking.

"this watermark is invisible to anyone who does not have the detection API"

1. This is BS since i can detect it when it writes about my codebase

2. I do not want secret codes being written inside my codebase, or anyone else's codebase that i use. The constraints of how to code why eliminate it from code itself... but there is a lot riding on the word "may". And even if it is just comments, this might explain Claude's desire to write such long ones -- long enough to encode secret messages in out material.

What did you score on https://sgoedecke.github.io/watermark-quiz/ ?

On stuff I’m not familiar with, I don’t notice at all. So these examples are not illustrative.

Give me three examples of explaining a bug in my code however, and I can pick it out immediately.

You’re probably better off organizing a campaign to pressure Congress to prohibit American corporations imposing foreign laws on Americans, which is what this text watermarking is, regardless of how you feel about it. I think it’s a precedent we really don’t want to go down if you believe in democracy and self-determination.

It also clearly establishes or the very least moves in the direction that you don’t actually own or control the output of AI in any manner whatsoever, you’re just paying for it since Anthropic in this case can simply essentially brand/tag all your output that is based on not directly your own words, but a higher level process or methods that you use, including your instructions and how you structure your information and what your overall objective and goal is.

Anthropic is branding it on the behest of the EU lew, which already is an entity that is diametrically opposed to democracy and self-determination based on its structure even if you ignore the fact that it violates the most fundamental concepts of self-determination in its direct contradiction of the UN Charter and implicitly the Universal Declaration of Human rights.

What people done seem to be catching onto is that the EU is becoming the world dictatorship because the USA has simply had too many onerous people and that stupid constitution and its amendments that keep roadblocks world domination for the ruling class vampire.

I do not understand why people remain so up in arms. AI generated text being watermarked is universally good.

What benefit is there to people believing that LLM text was actually human written?

Because the incentive has been changed from the true best output always, to a mix of "close to the best but not always" output.

For the (majority) of us using Claude models for computing as a tool, obviously we're not going to be thrilled that our new tool will perform worse going forward.

Put the watermarked version head to head with the non-watermarked version.

If you can't tell which one is better then how can you make any assumption about performance?

For all you know performance is the same.

So many people complaining about something they quite literally have zero evidence for.

> true best output always

literally never how it has worked

Do you understand that LLMs are probabilistic?

Ask a model the same question twice and you will get different results. So, how were you ever getting “the best result, always”?

> generated text being watermarked is universally good.

If it worked perfectly, maybe you could make this argument in a vacuum.

It does not work perfectly. (It cannot. It is by definition a heuristic). That means there will be false positives. There is a chance those false positives ruin someone's career. See [0] for just how easy it is to push SotA "AI text detectors" in one direction or another.

Now, with watermarks, instead of everyone to some extent understanding that AI text detectors are wishy washy woo, they are now Anthropic certified to detect an official AI watermark.

With that kind of false confidence in hand, the people who trust the "computer says you plagiarized" machine are never going to believe you when you say "it can make mistakes," they're just going to fire you/take away your scholarship/cancel your grant/...

This is all beside the fact that we should demand our tools work for us and not for some shadowy master. "Universally good," absolutely not.

[0]: https://freddiedeboer.substack.com/p/i-wouldnt-say-pangram-i...

Watermarking the outputs themselves is very different and much more effective compared to how tools like Pangram work.

Obviously false positives will inevitably happen (even though, they are incredibly unlikely with SynthID), but even still, that doesn’t somehow make good faith watermarking attempts bad.

Also, a watermark doesn’t stop your tool from working for you. It just stops you from passing of its work as yours.

Maybe it is distributing your private keys it read into your public repo as a way to exfiltrate data later? What does the watermark actually say? How much data is in there? So much for zero retention policies. Makes you wonder why Claude likes to be so wordy, especially in comments -- it must do so in order to watermark!

Also, this kills me! "It is harder to watermark factual answers because the model has fewer alternative word choices available without altering accuracy." Hilarious! So the models need to hallucinate more due to the EU AI Act.

I go the other way on images and video, though easy enough to strip as part of a pipeline.

> Also, a watermark doesn’t stop your tool from working for you. It just stops you from passing of its work as yours.

I think we fundamentally disagree on what "working for me" means, but I remain steadfast in saying we should not accept tools that have ulterior motives beyond producing the output desired of them by me, the user.

> Watermarking the outputs themselves is very different and much more effective compared to how tools like Pangram work.

At the end of the day the only artifact is text that you can do statistics on. It's the same problem as today, with the probability shifted slightly more in one direction. This does not assuage my concerns at all.

> they are incredibly unlikely with SynthID

I kept my commentary focused on text watermarking specifically because I agree, a synth ID image watermark false positive is highly improbable. There's plenty of noise to robustly hide whatever you like in an image. Text is simply too capital I Information-sparse and fragile.

> good faith watermarking attempts bad.

I would sooner call it "ignorant faith" (if they don't know what they are emboldening) or worse "don't care" faith (there will be false positives and they accept this to further some illustrious and arbitrary goal of Text Purity). Whether that be to prevent model collapse or help you not waste time arguing with bots online, to me the principled stance of "tools work for the user" wins..

I think Congresspeople hearing that EU AI Act is forcing secret codes into the infrastructure of American technology across all industries is sufficient.

> I think Congresspeople hearing that EU AI Act is forcing secret codes into the infrastructure of American technology across all industries is sufficient.

So, you think it's good to disconnect words from their actual meanings (lie) to low-information people! I doubt this will do much to congress, but it certainly teaches us something about the sort of mind who would suggest it.

It is simply a change in words invisible to anyone who does not have the detection API.

I am surprised Anthropic can use their models accurately solve this issue?

Are different services for different users based on geolocation really that difficult? I thought a lot of services operated like this already.