Recent research has revealed a significant security vulnerability: encrypted reasoning traces from major AI providers weren't adequately bound to sessions, accounts, or even specific models. This allows for the extraction of reasoning steps from one model and injecting them into another, potentially exposing sensitive data and raising concerns about intellectual property theft through distillation. Furthermore, researchers tested the robustness of Anthropic's watermarking system, designed to prove AI-generated content, finding it's a statistical bias rather than an unbreakable guarantee.
Read the full article at Towards AI - Medium
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