LLMs can unmask pseudonymous users at scale with surprising accuracy
Summary
Ars Technica reports on a research study showing that large language models can deanonymize pseudonymous social media users at scale with high recall and precision. The experiments across multiple datasets demonstrate AI can link anonymous text to real identities, raising privacy concerns and prompting proposed mitigations like rate limits and guardrails. The piece emphasizes the need to rethink privacy and security practices as AI capabilities advance.