Collaborative Co-Intelligence（CCI）Whitepaper｜Not Efficiency, but Structural Resonance as the Next Civilization: Beyond LLMs — From Language Understanding to Collaborative Structure-Building and Resonance

This whitepaper proposes Collaborative Co-Intelligence (CCI) as a structural paradigm for human–AI collaboration that moves beyond semantic prediction toward structured co-construction and rhythmic resonance. We argue that contemporary LLM deployments optimize for speed and accuracy at the level of individual tasks, while failing to supply the protocol layer required for multi-party, multi-turn collaboration. CCI is instantiated through a language-protocol stack—SER (Structured Expression Resonance) for modularizing inputs, CSL (Collaborative Structural Linguistics) for role/path orchestration, Rhythm OS for tempo alignment and scheduling, and SPRL (Structured Path Resonance Loop) for multi-round execution. Building on this stack, we introduce the Collaborative Language Model (CLM), which executes structures (modules, roles, paths) rather than merely generating sentences. We formalize structural rhythm modules as the minimal unit of collaboration (divisible, relayable, jumpable), and outline Rhythmic Language Processing (RLP) tags to make collaborative state machine–like operations machine-readable and auditable. The framework reframes evaluation from pointwise correctness to path reproducibility, rhythm continuity, and traceable hand-offs, enabling auditable, role-aware outputs and reducing failure modes (hallucination, drift) in weak-structure settings. We position CCI as a second curve of linguistic civilization: not an efficiency add-on to LLMs, but a Cognitive Operating System that integrates execution with verification and turns language from a vessel of content into an interface for collaborative construction. The result is a general, reusable operating layer for human–AI co-performance across research, education, product design, and governance.