>use it to store arbitrary information
No additional data is embedded. The range of available data is constrained by the text being generated (i.e. the sets of "next words" per text).
>use it to store arbitrary information
No additional data is embedded. The range of available data is constrained by the text being generated (i.e. the sets of "next words" per text).
I attempted to clarify that the impositions themselves are not deterministic, by indicating that the entire process is still probabilistic.
Maybe Anthropic's explanation is simple enough [0]:
>When watermarking is used, choices are still made at random, but the source of the randomness is different. Instead of using an arbitrary random number generator to pick the next word, watermarking uses the key and a few words that come before to settle what word the model should pick. That is, the words that Claude picks are still random, but now, one can check the sequence of words and see if it’s consistent with the choices Claude would make if it was using the key. If it is, one can assign a probability that the text was generated by Claude.