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Thesis . 2026
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Thesis . 2026
License: CC BY ND
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Liu-Ordis Capacity Law: Chaos, Order, and the Resolution of the AGI Path Debate

Authors: Liu, JianYu;

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

Abstract

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 0.33 → trust network percolation failure • AUC-ROC: 0.857 【SEVEN-PHASE MODEL】 • Frozen / Crystal / Superfluid / Liquid / Pathological / Chaos / Zombie • Crystal = survival without cooperation • Superfluid = optimal civilization state ═══════════════════════════════════════════════════════════════ FROM PHILOSOPHY TO PHYSICS ═══════════════════════════════════════════════════════════════ 【BEFORE LIU-ORDIS (1980-2025)】 • "Emergence happens at the edge of chaos" (qualitative) • "Self-organization creates order" (metaphorical) • "Life balances between order and chaos" (poetic) • NO FORMULA. NO PREDICTION. NO ENGINEERING. 【AFTER LIU-ORDIS (2025-)】 • √(H × N) = √N_cap (quantitative) • C = 13.53 ± 0.93 (measurable constant) • Seven phases with exact boundaries (predictive) • Guardian V7 controller (engineerable) Complexity science finally has its E = mc². ═══════════════════════════════════════════════════════════════ VALIDATION EVIDENCE ═══════════════════════════════════════════════════════════════ 【MULTI-AI CROSS-VALIDATION】 • GPT-5, Claude, Gemini independent verification • Strong consensus on core constants • Four-AI joint audit completed 【STATISTICAL EVIDENCE】 • 1000+ seeds across experiments • 14,334 tick-level observations for capacity law • p-value < 0.001 for critical findings 【TOPOLOGY VERIFICATION】 • Three N_cap groups tested • C scales with √N_cap (R² = 0.976) • Resource-independence confirmed ═══════════════════════════════════════════════════════════════ METHODOLOGY & SYSTEM ═══════════════════════════════════════════════════════════════ 【ORDIS LIQUID UNIVERSE ENGINE】 • Version: V3.6.85 • Architecture: Genesis Trinity (Womb/Playground/Tool) • Guardian V7: Dual-loop constraint controller • GPU-accelerated simulation platform 【EXPERIMENTAL DESIGN】 • E2: Topology verification (N_cap variation) • E4: Resource independence test • Guardian V7 A/B: Controller effectiveness • All seeds: 5000 steps, controlled conditions ═══════════════════════════════════════════════════════════════ INCLUDED FILES ═══════════════════════════════════════════════════════════════ • Liu-Ordis_Verdict_on_AGI_Debate.pdf (English) • figures/ - fig1_seed44_lazarus_resurrection.png - fig2_v7_ab_comparison.png - fig3_liu_ordis_capacity_law.png • data/ - signoff_V7_ON.csv - signoff_V7_OFF.csv - showcase_seeds/ (selected examples) ═══════════════════════════════════════════════════════════════ PRIORITY CLAIM ═══════════════════════════════════════════════════════════════ This document establishes PRIORITY for: ★ Liu-Ordis Capacity Law: √(H × N) = C = √N_cap ★ Liu-Ordis Information Capacity (LOIC): I = H + ln(N) + G ★ Resolution of the 45-year Chaos vs Order debate ★ The AGI Verdict: Scaling and Depth are the same constraint ★ Seven-Phase Model of Emergent Intelligence ★ Guardian V7 Dual-Loop Controller methodology All subsequent work using these concepts MUST cite this document. ═══════════════════════════════════════════════════════════════ LICENSE & CITATION ═══════════════════════════════════════════════════════════════ License: Creative Commons Attribution No Derivatives 4.0 International Implementation of Guardian V7 controller remains PROPRIETARY. Published formulas are sufficient for verification, not reverse-engineering. Suggested Citation: Liu, J. (2025). Liu-Ordis Capacity Law: Chaos, Order, and the Resolution of the AGI Path Debate. Zenodo. DOI: [pending] ═══════════════════════════════════════════════════════════════ KEYWORDS: Liu-Ordis Law, Capacity Law, AGI Debate, Chaos and Order, Edge of Chaos, Langton, Kauffman, Hassabis, LeCun, Scaling vs Depth, Information Conservation, Emergent Intelligence, Seven-Phase Model, Guardian V7, Gini Threshold, Multi-Agent Systems, Digital Civilization, Ordis Engine, Topology, LOIC, Phase Transitions, Complexity Science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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