Open-Source AI Watermark Remover Goes Viral, Sparking Debate Over AI Attribution

Guillaume Meyer’s open-source project Watermarks Remover, created in response to Anthropic’s announcement of invisible AI watermarks, went viral after a few hours of work and now has contributed contributors and millions of impressions. Meyer argues the watermark approach can cause false positives and mislabel non-AI content (like Grammarly-generated text), highlighting regulatory and trust concerns. The tool demonstrates a broader tension between attributions, AI regulation, and practical use, and Meyer says he may turn it into a business while plans to adapt as detectors evolve.