True, but what you can do is a one-sided guarantee. If it bears the mark, it is likely generated (or someone deliberately made it look generated).
Thus, if a news article, research article, book, student paper submission, blog post, HN comment, etc, bears the mark, it could be automatically flagged as such.
It helps detect low effort slop.
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Caveat. If you write your own creative work and send it to Claude for "cleaning up grammar", it might insert the watermark.
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It seems like it would be so low effort to bypass, especially when you can just train a system (maybe even another LLM) using the watermarker validation from Anthropic themselves.
It seems it would get as simple as:
outputText = promptLLM(prompt)
scrubbedText = scrubWatermark(outputText)
> If it bears the mark, it is likely generated (or someone deliberately made it look generated).
One could even say, the mark is load-bearing.