Pieter Levels proposes AI watermarking standard

The author argues that the proliferation of AI-generated content is degrading online social spaces, making human interaction increasingly difficult to find. To counter this, the article proposes implementing a universal content watermarking standard utilizing public and private cryptographic keys so that platforms can easily and freely detect, label, or filter out automated text. Open article →