Something amazing is happening in the debate about text watermarking in Claude. This is my best attempt to make sense of the quickly evolving situation. The key thing to keep in mind is that it is in fact possible to watermark LLM-generated text without degrading output quality (and in fact achieve a much stronger property, which is that the distribution of possible outputs is unchanged.) This is well established technically, and it has been implemented by Google / Gemini for over two years, and no one seemingly cared. Admittedly, quality-preserving watermarking is one of those counterintuitive facts about probability, like that annoying Monty Hall problem (the one with two goats behind three doors). The theorem-understanding part of my brain has no problem with it, but the intuitive part of my brain is screaming that there must be some mistake. I have no interest in re-litigating this. What I’m curious about is why, when Anthropic announced that they are rolling out watermarking that doesn’t degrade outputs, so many of their customers seem to have concluded that they are lying. I think three things went wrong: 1. Anthropic’s rollout was terrible from a comms perspective. There was no blog post; just a quiet support page with the title “How Claude marks AI-generated content” that said strangely little about how Claude actually marks AI-generated content. And it had no explanation of why they’ve rolled it out worldwide even though it’s required by law only in the EU. No transparency about who gets access to the watermark verifier. 2. Generally low trust and high suspicion about Anthropic’s motivations, given their statements and actions over the last few months / years. 3. Unresolved questions about the right tradeoff between individual users’ freedoms and the collective benefits of pervasive watermarking. Unlike Pangram-style AI detection, most people didn’t even know this was a thing, and it’s always uncomfortable to find out that a thing exists at the same time that you find out it’s mandatory with no opt-out. Evidently surprised by the strength of the backlash, Anthropic has been doing damage control, focusing on explaining how it works. But this only addresses the first point above. Once the narrative that they are lying took hold, people seem to be willing to reject anything they say about this topic, including the feasibility of distortion-free watermarking. This is also a textbook example (I plan to use it in my classes!) to explain why the “tech policy moves slowly because politicians don’t understand tech” narrative is ridiculous. Tech policy does move slowly, but for the same reasons all policy moves slowly. Figuring out the right tradeoffs in almost any situation — and getting public buy-in — is genuinely hard and can never happen at the speed of tech. If tech policy were to move even half as fast as people constantly claim they want it to move, absolute chaos would result. This situation is a good example.