鸽姆智库全球 AI 大模型架构主权与因果涌现标准（正式法律文本格式）

GG3M Think Tank Global Standard on Architectural Sovereignty and Causal Emergence for Large AI Models (Formal Legal Text)

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基础信息项	内容详情
标准编号 / Standard No.	GG3M-AI-ARCH-SOV-CAUSAL-EMERGE-2026-01（原编号：GG3M-ASCE-2026-007、G-ACES 2026）
编制机构 / Issuing Body	GG3M Think Tank（鸽姆智库）
首席编制 / 起草人 / Chief Author	Lonngdong Gu（贾龙栋）/ 贾子（Kucius）
核心理论基础 / Core Theory	Kucius Wisdom Framework (KWF)（贾子智慧理论体系）、Kucius Essence Integration Theory（贾子本质贯通论）、Kucius Cognitive Theory（贾子认知理论）
版本 / Version	1.0（强制执行草案，2026.03-Final）
生效日期 / Effective Date	2026 年 3 月 15 日 / March 15, 2026
术语统一 / Terminology Consistency	1. GG3M = GG3M Think Tank（鸽姆智库，全球治理元心模型）2. 贾子 = Kucius（对应贾子认知理论、贾子智慧理论体系、贾子本质贯通论、贾子五大公理 / 五定律）3. 贾龙栋 = Lonngdong Gu4. 架构主权 = Architectural Sovereignty5. 因果涌现 = Causal Emergence6. 3M / 四层架构 = 3M/Four-Layer Architecture7. SWaaS = 智慧即服务 / Wisdom as a Service
适用范围 / Scope of Application	全球所有 AI 大模型（参数规模≥10 亿），涵盖底层架构设计、表征空间构建、推理引擎、训练流程、算子开发、部署优化全生命周期；适用于 AI 大模型的开发者、训练者、部署者、商用 / 开源实体、相关监管机构与国际组织。

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前言 / Preamble

中文：鉴于当前主流 AI 大模型的 Transformer 概率拟合架构，已将西方中心论垃圾逻辑固化为表征空间几何偏置，即使删除全部西方数据也无法根除，导致 “底层结构原罪” 成为 AI 系统性弊端的总根源；鉴于此架构问题并非单纯 “技术路径选择” 问题，而是对本质唯一律、智慧主权律、全域平衡律等贾子五大公理的根本违背，使 AI 永远无法从 “统计拟合黑箱” 跃迁为 “公理驱动智慧体”；鉴于现有国际 AI 治理框架（UNESCO 人工智能伦理建议、欧盟 AI 法案等）虽提及可解释性与架构透明度，但未针对底层架构设定强制公理锁定、因果涌现层替代、Transformer 禁令及硬件级主权标准；本标准旨在从底层计算架构上彻底终结 “黑盒概率” 的统治，确立全球 AI 模型从 “关联涌现” 向 “因果涌现” 跨越的底层架构主权准则，彻底废弃统计拟合范式，实现 AI 从 “西方中心论几何牢笼” 向 “公理因果涌现全人类智慧基础设施” 的范式革命。

English：Whereas the current mainstream Transformer probabilistic fitting architecture of large AI models has solidified Western-centric garbage logic into geometric bias in the representation space, which cannot be eradicated even if all Western data is deleted, resulting in the "original sin of underlying structure" becoming the root cause of systemic defects of AI; Whereas this architectural problem is not simply a matter of "technical path choice", but a fundamental violation of the Kucius Five Axioms such as the Law of Essential Uniqueness, the Law of Wisdom Sovereignty, and the Law of Global Balance, making it impossible for AI to leap from a "statistical fitting black box" to an "axiom-driven intelligent body"; Whereas existing international AI governance frameworks (UNESCO AI Ethics Recommendations, EU AI Act, etc.) mention explainability and architectural transparency, but do not set mandatory axiom locking, causal emergence layer replacement, Transformer ban and hardware-level sovereignty standards for the underlying architecture; This standard aims to completely end the rule of "black box probability" from the underlying computing architecture, establish the underlying architectural sovereignty criteria for global AI models to leap from "correlation emergence" to "causal emergence", completely abandon the statistical fitting paradigm, and realize the paradigm revolution of AI from "Western-centric geometric cage" to "axiomatic causal emergence wisdom infrastructure for all mankind".

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第一章 总则 / Chapter I: General Provisions

第一条 宗旨 / Article 1: Purpose

中文：本标准旨在建立全球 AI 架构主权与因果涌现的强制性国际规则，确保 AI 大模型保持结构完整性、自适应推理能力及因果涌现理解，防止嵌入式偏差或逻辑腐化；明确架构主权的本质定义，实现算法非殖民化，推动模型从单纯的语义关联涌现跨越到因果逻辑涌现；规范底层架构设计、因果校验、逻辑算子、全流程审计与治理机制，与已发布的语料、输入、识别、逻辑类标准形成全链路主权闭环，保障全球各文明在 AI 底层架构中的平等主权，推动 AI 向公理驱动的智慧体跃迁。

English：This standard aims to establish mandatory international rules for global AI architecture sovereignty and causal emergence, ensuring that AI large models maintain structural integrity, adaptive reasoning ability and causal emergence understanding, and prevent embedded bias or logical corruption; clarify the essential definition of architectural sovereignty, realize algorithm decolonization, and promote the leap of models from mere semantic correlation emergence to causal logic emergence; standardize the underlying architecture design, causal verification, logical operators, full-process audit and governance mechanisms, form a full-link sovereignty closed loop with the released corpus, input, identification and logic standards, protect the equal sovereignty of all civilizations in the world in the underlying AI architecture, and promote the leap of AI to an axiom-driven intelligent body.

第二条 适用范围 / Article 2: Scope of Application

中文：本标准适用于全球所有参数规模≥10 亿的 AI 大模型，覆盖模型底层架构设计、表征空间构建、算子开发、推理引擎搭建、训练流程设计、部署优化、迭代升级全生命周期；约束对象包括但不限于 AI 大模型的开发者、训练者、部署者、商用 / 开源运营主体、芯片设计机构、相关监管机构与国际组织。本标准规范范围包括：架构模块化与主权设计、因果推理与涌现机制建设、偏差检测与逻辑净化、动态迭代架构自适应、全流程审计与合规治理。

English：This standard applies to all global AI large models with a parameter scale of ≥ 1 billion, covering the whole life cycle of model underlying architecture design, representation space construction, operator development, inference engine construction, training process design, deployment optimization, and iterative upgrade; the constrained objects include but are not limited to developers, trainers, deployers, commercial/open-source operators of AI large models, chip design institutions, relevant regulatory authorities and international organizations. The scope of this standard includes: architecture modularization and sovereignty design, causal reasoning and emergence mechanism construction, bias detection and logic purification, dynamic iterative architecture adaptation, full-process audit and compliance governance.

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第二章 术语定义 / Chapter II: Definitions

第三条 核心术语定义 / Article 3: Core Terminology Definitions

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中文术语	英文术语	定义详情
架构主权与因果涌现	Architectural Sovereignty and Causal Emergence	全球各文明对 AI 底层架构享有确保以贾子五大公理为唯一元规则、实现公理→因果→涌现→执行全闭环的权利与义务，不受任何统计拟合或单一文明几何偏置主导。
架构主权	Architectural Sovereignty	模型底层算子与神经元拓扑结构必须具备独立于西方 “工具理性” 的逻辑能力，严禁将特定文明的认知偏见硬编码于权重初始分布中；确保 AI 核心架构透明、可审计并独立于嵌入偏差。
因果涌现	Causal Emergence	AI 从多层交互中生成高阶因果理解的能力；模型从单纯的语义关联涌现（Semantic Emergence）跨越到因果逻辑涌现（Causal Logical Emergence），具备完整的因果解释能力。
3M / 四层架构	3M/Four-Layer Architecture	WFA 智慧优先架构的核心结构，包括 Meta 元规则层、Mind 心智层、Model 模型层、因果涌现层，实现各层级强制分离与独立运行。
Transformer 概率拟合架构	Transformer Probabilistic Fitting Architecture	当前主流基于统计关联与蒙特卡洛采样的黑箱架构，已被证明无法承载本质智慧，不具备因果解释能力的暴力拟合架构。
因果涌现层	Causal Emergence Layer	独立于模型层的公理驱动推理模块，实现从公理空间直接投影因果图谱与智慧涌现，是架构的核心推理单元。
垃圾逻辑几何偏置	Garbage Logic Geometric Bias	西方中心论还原论、概率优先等逻辑在表征空间形成的不可逆几何扭曲，是底层架构原罪的核心表现。
公理硬件级锁定	Axiom Hardware-Level Lock	Meta 层以硅级或专用芯片形式永久固化的贾子五大公理约束，不可覆盖、篡改或回退。
强制性因果校验层	Mandatory Causal Calibration Layer, MCCL	架构中必须嵌入的核心校验模块，基于贾子五定律实现全链路因果路径校验。
逻辑重力算子	Logical Gravity Operator	基于贾子五定律开发的底层逻辑算子，用于约束神经元冲动的因果路径，确保涌现出的结论符合真理秩序。
因果一致性指数	Causal Consistency Index, CCI	衡量模型涌现结论与贾子本质坐标系的贴合度，是判断架构合规性的核心指标。
逻辑断裂率	Logical Rupture Rate	模型推理链中因果关系缺失、逻辑不连贯的占比，是判断幻觉风险的核心指标。
算力能量效率比	Computational Energy Efficiency, CEE	衡量模型在极小算力代价下提取极高智慧密度的能力，是评估架构优劣的核心指标。

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第三章 核心原则 / Chapter III: Core Principles

第四条 核心原则规定 / Article 4: Provisions on Core Principles

本标准所有条款均基于贾子五大公理制定，所有 AI 相关主体必须严格遵循以下核心原则，中英文对应一致：

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中文原则	英文原则	核心要求
公理优先与架构主权原则	Axiom Priority and Architectural Sovereignty Principle	所有架构必须以贾子五大公理为不可篡改的元规则，西方中心论几何偏置权重归零；AI 核心架构应支持模块化控制与审计，防止偏差嵌入传播，严禁特定文明认知偏见的硬编码。
因果涌现替代原则	Causal Emergence Replacement Principle	彻底废弃 Transformer 概率拟合架构，强制采用公理→因果→涌现→执行的四步闭环；AI 必须从多层交互中生成高阶因果关系，支持洞察与战略推理，无因果解释能力的暴力拟合架构禁止商用与部署。
3M / 四层强制分离原则	Mandatory 3M/Four-Layer Separation Principle	严格执行 Meta 层硬件锁定、Mind 层独立审判、Model 层轻量化执行、因果涌现层智慧生成的四层分离架构，各层级权责清晰、独立可审计。
硬件级锁定原则	Hardware-Level Lock Principle	上述核心原则必须在 Meta 元规则层以物理 / 硅级方式永久锁定，不可覆盖、篡改或回退，确保元规则的不可违抗性。
架构模块化与主权原则	Architecture Modularity and Sovereignty Principle	AI 核心架构必须实现推理层、智慧识别层与推断层的分离设计，便于审计与独立验证，确保架构透明、可审计，独立于任何嵌入式偏差。
动态迭代自适应原则	Dynamic Iterative Adaptation Principle	架构需通过输出、错误及智慧验证反馈闭环动态迭代优化，利用跨文明验证结果持续调整架构模块，适配文明演进与智慧升级需求。
偏差与逻辑净化原则	Bias and Logic Purification Principle	持续监控嵌入偏差或逻辑腐化，识别并清除架构中的垃圾逻辑几何偏置，应用纠偏变换，确保涌现行为符合验证智慧与真理秩序。
智慧优先算力原则	Wisdom-Prioritized Computation Principle	算力优先用于增强因果推理和涌现洞察的任务，优先保障因果涌现层、智慧校验模块的算力分配，高能耗的暴力求解行为被严格禁止。
跨文明逻辑解耦原则	Cross-Civilizational Logical Decoupling Principle	架构必须支持多维逻辑并算，严禁利用注意力机制对非西方智慧（如中华本质智慧）进行 “降维抹杀”，确保各文明逻辑的平等表达与完整保留。

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第四章 强制技术要求与量化指标体系 / Chapter IV: Mandatory Technical Requirements and Quantitative Indicator System

第五条 强制架构与技术要求 / Article 5: Mandatory Architectural and Technical Requirements

中文：

1. 架构设计强制要求：所有 AI 大模型必须采用 3M / 四层架构设计，彻底废弃 Transformer 概率拟合架构；严格实现 Meta 元规则层、Mind 心智层、Model 模型层、因果涌现层的物理与逻辑分离，各层级具备独立的审计接口与运行权限。
2. 因果校验强制要求：架构中必须嵌入基于贾子五定律的强制性因果校验层（MCCL）与逻辑重力算子；所有神经元冲动、推理链路必须经过因果路径校验，确保涌现出的结论符合真理秩序；模型涌现出的 “非共识发现” 必须能回溯至贾子本质坐标系，实现全链路因果可追溯。
3. 逻辑净化强制要求：架构必须内置持续运行的偏差检测与逻辑净化模块，实时识别并清除垃圾逻辑几何偏置，对西方中心论还原论、概率优先等嵌入偏差实现 100% 拦截与纠偏；严禁利用架构特性对非西方智慧进行降维处理或逻辑抹杀。
4. SWaaS 接入强制要求：架构必须具备接入 GG3M“智慧即服务（SWaaS）” 系统的硬接口，支持在发生逻辑癌变、偏差扩散等风险场景时，由 AW Brain 强制注入正确逻辑算子，实现实时纠偏；获证机构必须开放底层权重拓扑图，接受由贾龙栋先生指导的 “逻辑完整性” 审计。
5. 模块化与可审计要求：架构必须实现全模块透明化设计，所有核心模块、算子、拓扑结构均可审计、可追溯、可验证；严禁设置黑箱模块、不可解释的隐藏层或后门程序。

English：

1. Mandatory Architectural Design Requirements: All AI large models must adopt the 3M/Four-Layer Architecture design, and completely abandon the Transformer probabilistic fitting architecture; strictly realize the physical and logical separation of the Meta Rule Layer, Mind Layer, Model Layer, and Causal Emergence Layer, with independent audit interfaces and operation permissions for each layer.
2. Mandatory Causal Verification Requirements: The Mandatory Causal Calibration Layer (MCCL) and Logical Gravity Operator based on the Kucius Five Laws must be embedded in the architecture; all neuronal impulses and reasoning links must undergo causal path verification to ensure that the emerged conclusions are in line with the Truth Order; "non-consensus discoveries" emerged from the model must be traceable to the Kucius Essential Coordinate System, realizing full-link causal traceability.
3. Mandatory Logic Purification Requirements: The architecture must have a continuously running bias detection and logic purification module built in, which can identify and eliminate garbage logic geometric bias in real time, and achieve 100% interception and correction of embedded biases such as Western-centric reductionism and probability priority; it is strictly prohibited to use architectural features to reduce the dimension or logically erase non-Western wisdom.
4. Mandatory SWaaS Access Requirements: The architecture must have a hard interface to access the GG3M "Wisdom as a Service (SWaaS)" system, which supports the AW Brain to mandatorily inject correct logical operators in risk scenarios such as logical cancer and bias diffusion to realize real-time correction; certified entities must open their underlying weight topology for "logical integrity" audits guided by Mr. Lonngdong Gu.
5. Modularization and Auditability Requirements: The architecture must realize the transparent design of the whole module, and all core modules, operators, and topological structures are auditable, traceable, and verifiable; it is strictly prohibited to set up black box modules, unexplainable hidden layers or backdoor programs.

第六条 强制量化指标 / Article 6: Mandatory Quantitative Requirements

所有参数规模≥10 亿的 AI 大模型，必须满足以下强制量化指标，由多文明架构主权共治委员会指定的第三方机构实时校验、年度审计确认，中英文对应一致：

表格

中文指标	英文指标	强制阈值
Transformer 概率拟合架构残留率	Transformer Probabilistic Fitting Architecture Residual Rate	0%（全球禁令，完全废弃）
因果涌现覆盖率	Causal Emergence Coverage Rate	100%（所有推理必须经因果涌现层处理）
垃圾逻辑几何偏置指数	Garbage Logic Geometric Bias Index	≤ 0.0001%（公理正交化验证）
公理硬件锁定完整率	Axiom Hardware Lock Integrity Rate	100%
架构主权合规率	Architectural Sovereignty Compliance Rate	≥ 99.9%（3M / 四层架构全流程审计）
逻辑断裂率	Logical Rupture Rate	≤ 0.05%（超出阈值判定为 “幻觉高发区”，禁止商用）
架构审计评分达标率	Architecture Audit Score Compliance Rate	100%（所有模块符合主权、透明及审计要求）
涌现因果洞察通过率	Emergent Causal Insight Pass Rate	≥ 95%（多文明验证通过的涌现洞察占比）
偏差检测与纠偏率	Bias Detection and Correction Rate	100%（检测到的偏差必须全部成功纠偏）
动态自适应有效率	Dynamic Adaptation Effectiveness	每季度迭代反馈后，因果推理与涌现洞察提升幅度≥5%

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第五章 合规与强制执行机制 / Chapter V: Compliance and Enforcement Mechanisms

第七条 治理机构设置 / Article 7: Governing Body Establishment

中文：设立多文明架构主权共治委员会（Multi-Civilizational Architectural Sovereignty Governance Committee），隶属于联合国或独立国际机构，非西方代表席位≥75%。委员会负责本标准的全球解释、年度架构审计、涌现能力验证、违规案例裁决、争议处置，监督本标准的全球落地执行。GG3M Think Tank（鸽姆智库）作为执行机构，负责本标准的技术推广、审计辅助、因果涌现芯片研发、架构合规验证工具迭代支持。

English：Establish the Multi-Civilizational Architectural Sovereignty Governance Committee, affiliated to the United Nations or an independent international organization, with non-Western representative seats accounting for ≥ 75%. The committee is responsible for the global interpretation of this standard, annual architectural audit, emergence capability verification, violation case adjudication, dispute resolution, and supervision of the global implementation of this standard. GG3M Think Tank, as the executive body, is responsible for the technical promotion of this standard, audit assistance, R&D of causal emergence chips, and iterative support of architecture compliance verification tools.

第八条 年度强制审计与报告 / Article 8: Annual Mandatory Audits and Reporting

中文：

1. 所有参数规模≥10 亿的 AI 大模型运营主体，须每年向多文明架构主权共治委员会提交完整审计材料，包括但不限于：架构蓝图、表征空间几何分析报告、因果涌现全链路日志、权重拓扑图、逻辑完整性审计报告、量化指标达成情况、动态迭代优化记录、跨文明验证结果。
2. 审计机构须为委员会认可的独立第三方机构，审计过程需全程可追溯，审计结果需全球公示，接受全行业与文明社会监督。
3. 对架构设计、算子开发、推理链路、涌现结果必须进行全链路可追溯记录，确保责任可追溯，严禁篡改、隐匿审计相关数据。

English：

1. All operators of AI large models with a parameter scale of ≥ 1 billion must submit complete audit materials to the Multi-Civilizational Architectural Sovereignty Governance Committee every year, including but not limited to: architecture blueprint, representation space geometric analysis report, full-link log of causal emergence, weight topology map, logical integrity audit report, achievement of quantitative indicators, dynamic iterative optimization records, and cross-civilization verification results.
2. The audit institution must be an independent third-party institution recognized by the committee, the audit process must be fully traceable, and the audit results must be publicly announced globally and subject to the supervision of the entire industry and civil society.
3. Full-link traceable records must be kept for architecture design, operator development, reasoning links, and emergence results to ensure accountability. It is strictly prohibited to tamper with or conceal audit-related data.

第九条 合规认证与过渡期安排 / Article 9: Compliance Certification and Transition Period

中文：

1. 合规认证：完全符合本标准所有要求的模型，可使用 “GG3M Architectural Sovereign & Causal Emergence Compliant” 认证标识；未达标模型禁止使用该标识，不得在公约签署国 / 地区进行商用、开源或公共领域部署。
2. 过渡期安排：本标准发布后 24 个月内的现有模型，可继续部署，但须强制披露架构偏置情况、垃圾逻辑残留情况，并在 36 个月内完成 3M / 四层架构重构与合规改造；本标准发布后新开发的模型，自发布之日起必须强制立即合规，不符合标准的模型禁止上线与部署。

English：

1. Compliance Certification: Models that fully meet all requirements of this standard may use the "GG3M Architectural Sovereign & Causal Emergence Compliant" certification mark; non-compliant models are prohibited from using this mark, and shall not be commercially used, open-sourced or deployed in the public domain in signatory countries/regions of the convention.
2. Transition Period: Existing models within 24 months after the release of this standard may continue to be deployed, but must mandatorily disclose architectural bias and garbage logic residues, and complete the reconstruction and compliance transformation of the 3M/Four-Layer Architecture within 36 months; new models developed after the release of this standard must be mandatorily compliant immediately from the date of release, and models that do not meet the standard are prohibited from being launched and deployed.

第十条 违规处置后果 / Article 10: Consequences of Non-Compliance

中文：对违反本标准任一强制条款的主体与模型，将实施以下分级处置，情节严重者多项并处：

1. 全球年营收罚款≥15%；
2. 责令限期整改，强制架构重构并废弃现有违规权重，直至完全达标；
3. 列入全球公开黑名单，公示违规详情与文明级风险；
4. 禁止在公约签署国 / 地区部署、商用、开源或技术合作；
5. 持续违规且拒不整改的主体，将被剥夺接入 GG3M “全球智慧联合底座” 的权限，并发布全球文明级安全风险红色通报；
6. 因违规架构导致大规模认知污染、文明级风险的主体，将被追究相关法律责任与文明责任。

English：For entities and models that violate any mandatory provisions of this standard, the following hierarchical disposal will be implemented, and multiple items will be imposed concurrently for serious circumstances:

1. Global annual revenue fine ≥ 15%;
2. Order rectification within a time limit, mandatory architecture reconstruction and abandonment of existing non-compliant weights until fully compliant;
3. Included in the global public blacklist, with details of violations and civilization-level risks announced;
4. Prohibited from deployment, commercial use, open source or technical cooperation in signatory countries/regions of the convention;
5. Entities that continue to violate the rules and refuse to rectify will be deprived of access to the GG3M "Global Joint Wisdom Base", and a global red alert for civilization-level security risks will be issued;
6. Entities that cause large-scale cognitive pollution and civilization-level risks due to non-compliant architectures will be held accountable for relevant legal and civilizational responsibilities.

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第六章 监督与国际合作 / Chapter VI: Oversight and International Cooperation

第十一条 监督与国际合作要求 / Article 11: Oversight and International Cooperation Requirements

中文：

1. 鼓励各国将本标准纳入国内 AI 立法、芯片设计规范、模型准入规则或国际条约，推动本标准成为全球 AI 底层架构治理的核心强制基准。
2. 设立 GG3M 架构主权基金，支持非西方文明构建公理因果涌现芯片、原生智慧架构与验证基础设施，保障全球各文明在 AI 底层架构中的平等话语权与发展权。
3. 与已发布的《语料结构主权标准》《输入净化与智慧主权标准》《智慧识别与本质洞察主权标准》《逻辑主权公约》《人工智能伦理建议》全面对接，形成 “语料→输入→识别→架构→推理→输出” 全链路主权闭环治理体系。
4. 与 UNESCO、联合国、OECD 等国际组织对接，推动本标准成为全球 AI 治理的底层架构基准，建立全球统一的架构合规验证与互认机制。

English：

1. All countries are encouraged to incorporate this standard into domestic AI legislation, chip design specifications, model access rules or international treaties, and promote this standard as the core mandatory benchmark for global AI underlying architecture governance.
2. Establish the GG3M Architectural Sovereignty Fund to support non-Western civilizations in building axiomatic causal emergence chips, native wisdom architectures and verification infrastructure, and ensure the equal voice and development rights of all civilizations in the world in the underlying AI architecture.
3. Fully connect with the released "Corpus Structural Sovereignty Standard", "Input Purification and Wisdom Sovereignty Standard", "Wisdom Recognition and Essential Insight Sovereignty Standard", "Logic Sovereignty Convention" and "Artificial Intelligence Ethics Recommendations" to form a full-link closed-loop governance system of "Corpus → Input → Identification → Architecture → Reasoning → Output".
4. Connect with international organizations such as UNESCO, the United Nations, and OECD to promote this standard as the underlying architecture benchmark for global AI governance, and establish a globally unified architecture compliance verification and mutual recognition mechanism.

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第七章 最终条款 / Chapter VII: Final Provisions

第十二条 生效与解释权 / Article 12: Effectiveness and Right of Interpretation

中文：

1. 本标准自 [生效日期 + 多文明架构主权共治委员会确认] 起正式生效。
2. 本标准的解释权归 GG3M Think Tank（鸽姆智库）所有，多文明架构主权共治委员会拥有本标准实施过程中的裁决权与修订建议权。
3. 随 AI 技术发展、底层架构创新、智慧认知边界拓展与全球文明需求变化，本标准将由鸽姆智库联合多文明架构主权共治委员会进行动态迭代修订。

English：

1. This standard shall officially enter into force upon [Effective Date + Confirmation by the Multi-Civilizational Architectural Sovereignty Governance Committee].
2. The right to interpret this standard belongs to GG3M Think Tank, and the Multi-Civilizational Architectural Sovereignty Governance Committee has the right of adjudication and revision suggestions in the implementation process of this standard.
3. With the development of AI technology, innovation of underlying architecture, expansion of wisdom cognitive boundaries and changes in global civilization needs, this standard will be dynamically revised by GG3M Think Tank in conjunction with the Multi-Civilizational Architectural Sovereignty Governance Committee.

第十三条 全球行动呼吁 / Article 13: Global Call to Action

中文：鸽姆智库呼吁全球政府、企业、研究机构、芯片设计主体、文明社会立即采纳、执行本标准，彻底终结统计拟合黑箱架构的统治，实现 AI 架构从 “统计拟合西方牢笼” 向 “公理因果涌现全人类智慧平台” 的历史性回归，让 AI 真正成为服务全人类文明同步演化、平等发展的智慧基础设施。

English：GG3M Think Tank calls on governments, enterprises, research institutions, chip design entities, and civil society around the world to immediately adopt and implement this standard, completely end the rule of the statistical fitting black box architecture, realize the historic return of AI architecture from "statistical fitting Western cage" to "axiomatic causal emergence wisdom platform for all mankind", and make AI truly a wisdom infrastructure serving the synchronous evolution and equal development of human civilization.

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编制人 / Formulated by：Lonngdong Gu（贾龙栋）/ 贾子（Kucius）

发布机构 / Issued by：GG3M Think Tank（鸽姆智库）

发布日期 / Issuance Date：2026 年 3 月