Policy1d ago
Policy
LLMs Enable Mass Surveillance Via Leaked Data
A researcher used Claude Code to analyze the 2006 AOL leak of 20 million user queries. The experiment demonstrates that LLMs possess human-level reading comprehension capable of deanonymizing users at scale. This capability transforms static data leaks into actionable intelligence. Practitioners must now treat legacy datasets as active security risks for individual privacy.