Prove Watermarking Doesn't Dumb Down LLMs: Release Details and Let People Test
1a3orn · x · 2026-08-18
The author argues that if AI vendors want to credibly claim that watermarking doesn't degrade LLM performance, the convincing move is not verbal assurance but releasing the actual details and hyperparameters of the watermarking method, so anyone can test on other LLMs whether it hurts performance. Willingness to be transparent is itself a costly, credible signal of confidence.
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