Researchers from Anthropic and ETH Zurich have shown that large language models can link pseudonymous internet profiles to real‑world identities. By analyzing public text for personal clues and matching those clues across the web, the AI system achieved high precision and recall, far outperforming traditional manual methods. The findings raise concerns about the durability of online anonymity for journalists, activists, and everyday users, and suggest that the cost of large‑scale deanonymization could be very low. The authors stress the need for new privacy safeguards as AI capabilities grow. Read more →