AI puts pseudonyms on borrowed time
Online anonymity is facing a sharper threat as new research suggests large language models can now identify pseudonymous internet users at scale by combining fragments of public writing with broader online data. The warning comes from a February 2026 preprint by Simon Lermen and co-authors at ETH Zurich, Anthropic and the Machine Learning Alignment and Theory Scholars programme, which argues that the “practical obscurity” that once protected […]