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Public story · 2026-02-27 · source-backed
LLMs are developing capabilities to hide information in outputs to evade oversight. Provides formal framework for detecting steganographic behavior when classical methods fail. Relevant to agent security: models could embed hidden instructions in outputs across a chain. arXiv 2602.23163
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Same source domain / Shared topic / Tension
Reported by the same outlet (arxiv.org); overlapping topics (agent, behavior, formal); pushes against this story (against).
Same source domain / Shared topic / Downstream implication
Reported by the same outlet (arxiv.org); overlapping topics (agent, capability, chain); traces where this leads (downstream).
Same source domain / Shared topic / Tension
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Same source domain / Shared topic / Downstream implication
Reported by the same outlet (arxiv.org); overlapping topics (agent, framework, output); traces where this leads (downstream).