A comprehensive privacy audit reveals significant disparities in data protection across leading artificial intelligence platforms. Independent researchers evaluated thirteen major language models against stringent security benchmarks, uncovering concerning vulnerabilities in user data handling. The analysis demonstrates that privacy safeguards vary dramatically between services, with many users unable to effectively disable data collection through standard settings. This investigation highlights the critical gap between user expectations and actual privacy practices in the rapidly evolving AI industry.

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