LLM watermarking turns the model’s linguistic entropy into bandwidth.

LLM watermarking turns the model’s linguistic entropy into bandwidth. Wherever the model has multiple plausible ways to say the same thing, those degrees of freedom become a channel through which a hidden (watermarking) signal can be transmitted.