Earlier quoted context omitted.
You're generating a pseudo random number one way instead of another way. How would that inherently compromise quality?
1. As watermarked text is added to the training data, watermark-related tokens will be associated more with AI outputs and thus lower quality outputs which will hasten model collapse. Especially because every provider has its own secret key and they are all training on eachother's outputs anyway. I guess they can at scale filter the watermarked documents (by necessarily allowing eachother to at scale checked for wate…
You're missing the fundamentals here!