AI text generators and binary media pipelines quietly weave invisible Unicode tags, statistical token biases, and C2PA provenance manifests into synthesized artifacts. Guillaume Meyer's open-source project watermarks-remover provides a zero-dependency Python service and agent skill that deterministically scrubs multi-vendor provenance marks. We dissect its dual-layer text scrubbing engine, atomic binary container sanitization, and seamless agent hook architecture.
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aiflash.com — original article