dailyai.report

Scott Aaronson and Hendrik Kirchner developed a watermarking method using private pseudo-randomness sources to tag AI-generated text. The system compares token selection patterns against a secret key to derive a detection score. This approach enables verifiable provenance via a public API. Practitioners can now identify synthetic content without relying on fragile, external classifiers.