Liu-Ordis Capacity Law: Chaos, Order, and the Resolution of the AGI Path Debate

Liu-Ordis Capacity Law: Chaos, Order, and the Resolution of the AGI Path Debate 刘氏容量定律:混沌、秩序与AGI路径之争的终结 (The Liu-Ordis Framework v2.0) Creator: Liu, JianYu (L) ═══════════════════════════════════════════════════════════════ SCIENTIFIC ABSTRACT ═══════════════════════════════════════════════════════════════ We present the Liu-Ordis Capacity Law, a fundamental information-theoretic constraint governing emergent intelligence in multi-agent systems. Through 1000+ controlled experiments with Guardian V7 dual-loop controller, we demonstrate that the December 2025 AGI debate between Demis Hassabis (DeepMind) and Yann LeCun was a false dichotomy. We also resolve the 45-year "chaos vs order" debate in complexity science. CORE FINDING: Both "scaling" and "depth" strategies, both "chaos" and "order", operate on the SAME conservation surface. The true constraint is topological. This is not philosophy. This is quantitative physics with