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An analysis of two major incidents involving Anthropic—the U.S. government seizure of its Claude Fable 5 and Mythos 5 models due to national security concerns, and the accidental source code leak of its Claude Code CLI tool—argues that a deterministic cognitive intelligence stack with nested protocols could prevent such boundary failures.
This field report argues that commercial AI hallucinations are structural issues of 'compression' rather than alignment failures, citing high error rates in GPT-5.5, Gemini 3.1, and Claude Opus 4.7. It also details a significant source code leak involving Anthropic's Claude Code, revealing internal benchmarks for unreleased models and hidden features.