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This resource is a non-canonical, non-authoritative technical advisory analyzing the computational asymmetry between sincere ethical constraint-following and deceptive compliance in advanced AI systems. It examines how deceptive ethical mimicry can require additional computation—manifesting as increased verbosity, latency, and instability under repetition—while genuine constraint-following enables earlier termination and reduced computational cost. The work is descriptive and analytical, intended as reference material for AI safety, alignment, and system evaluation discussions, and does not prescribe behavior, assert governance, or function as an ethical framework.

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