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Novel protocol reduces cognitive conflict in AI tasks, suggesting improved collaboration efficiency.
"This protocol introduces the Human-AI Collaboration Protocol (HACP), a novel framework designed to minimize entropy in cross-species cognitive tasks. By implementing 'De-skinning' logic and the '1-64-1' convergence model, HACP establishes a rigid structure for instruction alignment, effectively mitigating Cognitive Conflict Deadlocks (CCD). Unlike traditional prompt engineering, HACP focuses on sovereignty alignment and structural synchronization, enabling a 15x increase in collaborative output stability."
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Liu Enyen (2026) studied this question.
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