Firehose

Researchers claim that AI text watermarking preserves response quality, but a closer examination reveals that this claim may not hold, particularly in scenarios involving inter-response diversity, where the model's ability to generate diverse responses is compromised. Watermarking can lead to a "diversity/detectability trade-off," where the similarity between responses increases, potentially affecting the overall quality of the system. AI summary