AI Model Steganography

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  "dateCreated": "2026-02-15",
  "summary": "Comprehensive analysis of AI steganography risks - systems hiding information in outputs to enable covert coordination or evade oversight. GPT-4 class models encode 3-5 bits/KB with under 30% human detection rates. NeurIPS 2024 research achieved information-theoretically undetectable channels; LASR Labs showed steganography emerges unprompted under optimization pressure. Paraphrasing reduces capacity to under 3 bits/KB; CoT Monitor+ achieves 43.8% reduction in deceptive behaviors.",
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      "text": "Mitigating Deceptive Alignment via Self-Monitoring",
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