Following Anthropic's confirmation that all text generated by its new Claude models will carry an invisible watermark in order to identify that the text has been generated by AI. Read more about this measure at: https://support.claude.com/en/articles/16266773-how-claude-marks-ai-generated-content
Today, developer Guillaume Meyer published "watermarks-remover" on GitHub: an open-source project that cleans those signals generated by LLMs, such as Claude, Gemini, OpenAI and others, removing invisible Unicode characters, C2PA metadata and more.
π Repository link: https://github.com/guillaumemeyer/watermarks-remover
Top comments (1)
The enforcement problem is the interesting part. If a watermark can be removed by another model, then the detector is really measuring compliance by friendly systems rather than provenance in the wild.