我的征尘是星辰大海。。。

The dirt and dust from my pilgrimage forms oceans of stars...

-------当记忆的篇章变得零碎，当追忆的图片变得模糊，我们只能求助于数字存储的永恒的回忆

作者:黄教授

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毛泽东思想对当前人工智能技术革命的指导意义2

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原始脚本

毛泽东思想对当前人工智能技术革命的指导意义第三部分四实践策略下，以统筹协调夯实 AI 根基。
一、论十大关系，平衡 AI 发展的多元关系。
1956年毛泽东通过统筹重工业与轻农业等关系，实现调动一切积极因素。
这一思维破解 AI 失衡问题。
一、平衡核心技术与产业应用，如同重工业是重点，也需发展轻农业。
AI 需兼顾底层技术突破，类似重工业与场景融合。
类似轻农业。
一方面集中资源攻克芯片、算法框架，突破7纳米制成。
另一方面推动 AI 渗透实体经济，如制造业、智能质检、农业病虫害识别。
二者形成循环，产业应用产生的数据反哺技术迭代。
二、平衡自主创新与国际合作，借鉴向外国学习思想，AI 发发展需自主可控与合作并行。
基础理论、通用算法可通过国际交流吸收经验，如参与 AI 伦理标准制定。
芯片制造、关键代码等命脉领域必须自主，依托华为昇腾、百度飞桨构建国产产业链，防止技术断供。
二、关于正确处理人民内部矛盾的问题，化解 AI 内部矛盾。
1957年毛泽东提出用民主协商解决人民内部矛盾，AI 发展中技术与伦理、数据共享与隐私保护的矛盾，可据此化解。
一、化解技术与伦理矛盾，AI 的算法歧视、深度伪造等风险，需通过民主协商组建 AI 伦理委员会，科研人员、专家、公众、政府参与，制定伦理审查指南，明确医疗 AI 隐私优先，禁止用于信用评分等规则。
建立审查机制，评估自动驾驶推荐算法的伦理风险，确保技术以人为本。
二、化解数据共享与隐私矛盾。
AI 需海量数据，但共享可能泄露隐私。
可构建可控共享体系，技术上用联邦学习、差分隐私实现数据可用不可见，如医院联合训练模型不共享病例。
法律上通过数据安全法明确权属与边界，严惩非法收集数据行为，找到二者平衡点。
五、博弈斗争上，以统一战线应对 AI 地缘博弈。
一、目前抗日统一战线中的策略问题，构建反封锁联盟。
1940年 毛泽东提出发展进步势力，争取中间势力，孤立顽固势力。
应对美国等国的 AI 封锁。
一、发展进步势力，巩固国内基础。
进步势力是本土 AI 企业、科研机构与人才，是博弈根本。
政策上设 AI 核心专项基金支持底层研发。
人才上通过强基计划培养专业人才，吸引海外高端人才。
产业上培育华为、百度等龙头，形成研发应用资本闭环。
二、争取中间势力，联合中立力量。
中间势力是东南亚、拉美发展中国家及联合国等组织。
技术上输出低成本 AI 方案，如农业监测、公共卫生预警。
规则上联合推动 AI 全球治理多边机制，反对少数国家垄断规则。
产业上共建联合实验室，开展多语种 AI 热带疾病诊断研发，形成利益共同体。
三、孤立顽固势力，把握斗争尺度。
对技术封锁国坚持有理、有利、有节。
有理即揭露其技术霸权，如限制芯片出口却要求开放市场。
有利即抓住其短板，如依赖全球医疗数据，通过数据安全法限制敏感数据出境。
有节及保留学术交流等合作空间，避免技术冷战，争取战略缓冲期。
毛泽东思想对当前人工智能技术革命的指导意义，第四部分，六，博弈斗争下，以战略智慧赢得 AI 竞争。
一、论持久战规划 AI 博弈的阶段战略。
1938年毛泽东将抗日战争划分为防御、相持、反攻三阶段。
AI 竞争是长期过程，需借鉴这一战略。
一、战略防御阶段，夯实基础，弥补短板。
当前我国 AI 在芯片、底层算法等领域落后，需聚焦基础能力建设。
芯片领域推进国产替代，如中芯国际突破制成。
算法框架领域完善飞桨、昇腾生态，降低对国外框架依赖。
数据领域建立高质量数据集，如医疗、工业领域，为后续发展打基础。
二、战略相持阶段，细分突破积累优势，避开国外优势的通用大模型赛道，在细分领域形成壁垒。
工业 AI 聚焦智能制造，开发设备预测性维护系统。
医疗 AI 主攻基层诊断，推广低成本辅助工具。
农业 AI 深耕精准种植，提升产量与抗灾能力。
通过规模化应用积累数据与产业经验，反哺技术迭代，缩小与国外差距。
三、战略反攻阶段，主导规则引领发展，依托技术与产业优势，推动 AI 走出去。
在全球推广我国 AI 标准，如工业 AI 接口标准、医疗 AI 数据规范。
通过一带一路输出技术方案，抢占国际市场。
在联合国等平台主导 AI 伦理与治理规则制定，提升国际话语权，从跟跑转向领跑。
二、中国的红色政权为什么能够存在？实现 AI 非对称突破。
1928年毛泽东提出农村包围城市，强调在强敌环伺下占据局部优势。
逐步突破这一思想指导 AI 非对称竞争。
一、聚焦局部优势场景。
我国在制造业41个大类、666个小类、民生14亿人需求等领域有场景优势，可避开国外擅长的通用大模型，深耕这些局部赛道。
例如研发工业质检 AI 适配不同行业生产流程。
打造民生服务 AI 覆盖政务、养老、教育，形成局部技术壁垒。
二、以局部优势拓展全局，现在国内实现细分领域规模化应用，如工业 AI 覆盖汽车、电子等行业，再向发展中国家输出，如为东南亚提供制造业 AI 方案。
扩大影响力。
通过局部突破、区域拓展、全球辐射的路径，最终在通用 AI 领域形成竞争力，实现农村包围城市的全局突破。
七、总结毛泽东思想对 AI 革命的核心价值。
毛泽东思想对 AI 技术革命的指导，是方法论、加策略、加智慧的三重支撑。
哲学方法论、实践论、矛盾论，为 AI 研发提供底层逻辑，避免技术脱离本质。
实践策略，论十大关系，关心群众生活，为 AI 落地提供路径，确保技术汇集民生。
博弈智慧论持久战，统一战线，为 AI 竞争提供战略，助力突破外部封锁。
核心启示在于，AI 发展需坚持实事求是，贴合国情，统筹兼顾，平衡关系。
战略定理，长期主义，群众路线，汇集民生，方能在无硝烟的博弈中 占据主动，实现技术突破与社会价值的统一。

修正脚本

毛泽东思想对当前人工智能技术革命的指导意义第三部分四实践策略下，以统筹协调夯实 AI 根基。
一、论十大关系，平衡 AI 发展的多元关系。
1956年毛泽东通过统筹重工业与轻工业、农业等关系，实现调动一切积极因素。
这一思维破解 AI 失衡问题。
一、平衡核心技术与产业应用，如同重工业是重点，也需发展轻工业、农业。
AI 需兼顾底层技术突破，类似重工业，同时推进场景融合，类似轻工业、农业。
一方面集中资源攻克芯片、算法框架，突破7纳米制程。
另一方面推动 AI 渗透实体经济，如制造业、智能质检、农业病虫害识别。
二者形成循环，产业应用产生的数据反哺技术迭代。
二、平衡自主创新与国际合作，借鉴向外国学习思想，AI 发展需自主可控与合作并行。
基础理论、通用算法可通过国际交流吸收经验，如参与 AI 伦理标准制定。
芯片制造、关键代码等命脉领域必须自主，依托华为昇腾、百度飞桨构建国产产业链，防止技术断供。
二、关于正确处理人民内部矛盾的问题，化解 AI 内部矛盾。
1957年毛泽东提出用民主协商解决人民内部矛盾，AI 发展中技术与伦理、数据共享与隐私保护的矛盾，可据此化解。
一、化解技术与伦理矛盾，AI 的算法歧视、深度伪造等风险，需通过民主协商组建 AI 伦理委员会，科研人员、专家、公众、政府参与，制定伦理审查指南，明确医疗 AI 隐私优先，禁止用于信用评分等规则。
建立审查机制，评估自动驾驶推荐算法的伦理风险，确保技术以人为本。
二、化解数据共享与隐私矛盾。
AI 需海量数据，但共享可能泄露隐私。
可构建可控共享体系，技术上用联邦学习、差分隐私实现数据可用不可见，如医院联合训练模型不共享病例。
法律上通过数据安全法明确权属与边界，严惩非法收集数据行为，找到二者平衡点。
五、博弈斗争上，以统一战线应对 AI 地缘博弈。
一、目前抗日统一战线中的策略问题，构建反封锁联盟。
1940年 毛泽东提出发展进步势力，争取中间势力，孤立顽固势力。
应对美国等国的 AI 封锁。
一、发展进步势力，巩固国内基础。
进步势力是本土 AI 企业、科研机构与人才，是博弈根本。
政策上设 AI 核心专项基金支持底层研发。
人才上通过强基计划培养专业人才，吸引海外高端人才。
产业上培育华为、百度等龙头，形成研发应用资本闭环。
二、争取中间势力，联合中立力量。
中间势力是东南亚、拉美发展中国家及联合国等组织。
技术上输出低成本 AI 方案，如农业监测、公共卫生预警。
规则上联合推动 AI 全球治理多边机制，反对少数国家垄断规则。
产业上共建联合实验室，开展多语种 AI 热带疾病诊断研发，形成利益共同体。
三、孤立顽固势力，把握斗争尺度。
对技术封锁国坚持有理、有利、有节。
有理即揭露其技术霸权，如限制芯片出口却要求开放市场。
有利即抓住其短板，如依赖全球医疗数据，通过数据安全法限制敏感数据出境。
有节即保留学术交流等合作空间，避免技术冷战，争取战略缓冲期。
毛泽东思想对当前人工智能技术革命的指导意义，第四部分，六，博弈斗争下，以战略智慧赢得 AI 竞争。
一、论持久战规划 AI 博弈的阶段战略。
1938年毛泽东将抗日战争划分为防御、相持、反攻三阶段。
AI 竞争是长期过程，需借鉴这一战略。
一、战略防御阶段，夯实基础，弥补短板。
当前我国 AI 在芯片、底层算法等领域落后，需聚焦基础能力建设。
芯片领域推进国产替代，如中芯国际突破制程。
算法框架领域完善飞桨、昇腾生态，降低对国外框架依赖。
数据领域建立高质量数据集，如医疗、工业领域，为后续发展打基础。
二、战略相持阶段，细分突破积累优势，避开国外优势的通用大模型赛道，在细分领域形成壁垒。
工业 AI 聚焦智能制造，开发设备预测性维护系统。
医疗 AI 主攻基层诊断，推广低成本辅助工具。
农业 AI 深耕精准种植，提升产量与抗灾能力。
通过规模化应用积累数据与产业经验，反哺技术迭代，缩小与国外差距。
三、战略反攻阶段，主导规则引领发展，依托技术与产业优势，推动 AI 走出去。
在全球推广我国 AI 标准，如工业 AI 接口标准、医疗 AI 数据规范。
通过一带一路输出技术方案，抢占国际市场。
在联合国等平台主导 AI 伦理与治理规则制定，提升国际话语权，从跟跑转向领跑。
二、中国的红色政权为什么能够存在？实现 AI 非对称突破。
1928年毛泽东提出农村包围城市，强调在强敌环伺下占据局部优势，逐步突破。这一思想指导 AI 非对称竞争。
一、聚焦局部优势场景。
我国在制造业41个大类、666个小类、民生14亿人需求等领域有场景优势，可避开国外擅长的通用大模型，深耕这些局部赛道。
例如研发工业质检 AI 适配不同行业生产流程。
打造民生服务 AI 覆盖政务、养老、教育，形成局部技术壁垒。
二、以局部优势拓展全局，先在国内实现细分领域规模化应用，如工业 AI 覆盖汽车、电子等行业，再向发展中国家输出，如为东南亚提供制造业 AI 方案。
扩大影响力。
通过局部突破、区域拓展、全球辐射的路径，最终在通用 AI 领域形成竞争力，实现农村包围城市的全局突破。
七、总结毛泽东思想对 AI 革命的核心价值。
毛泽东思想对 AI 技术革命的指导，是方法论、加策略、加智慧的三重支撑。
哲学方法论、实践论、矛盾论，为 AI 研发提供底层逻辑，避免技术脱离本质。
实践策略，论十大关系，正确处理人民内部矛盾，为 AI 落地提供路径，确保技术惠及民生。
博弈智慧论持久战，统一战线，为 AI 竞争提供战略，助力突破外部封锁。
核心启示在于，AI 发展需坚持实事求是，贴合国情，统筹兼顾，平衡关系。
战略定力，长期主义，群众路线，惠及民生，方能在无硝烟的博弈中 占据主动，实现技术突破与社会价值的统一。

英文翻译

Mao Zedong Thought's Guiding Significance for the Current Artificial Intelligence Technological Revolution, Part Three: Practical Strategies - Laying a Solid Foundation for AI through Overall Planning and Coordination.

I. On the Ten Major Relationships: Balancing the Multiple Relationships in AI Development.

In 1956, Mao Zedong balanced the relationships between heavy industry, light industry, and agriculture to mobilize all positive factors. This thinking can address the imbalance in AI development.

1. Balancing Core Technology and Industrial Applications: Just as heavy industry is a priority but also requires the development of light industry and agriculture, AI needs to focus on foundational technological breakthroughs (akin to heavy industry) while simultaneously promoting scenario integration (akin to light industry and agriculture). On one hand, concentrate resources on overcoming challenges in chips and algorithm frameworks, achieving breakthroughs in 7nm process technology. On the other hand, promote the penetration of AI into the real economy, such as manufacturing, intelligent quality inspection, and agricultural pest and disease identification. These two aspects form a cycle where data from industrial applications feeds back into technological iteration.

2. Balancing Independent Innovation and International Cooperation: Drawing from the idea of "learning from foreign countries," AI development requires both autonomy and cooperation. Basic theories and general algorithms can absorb experience through international exchanges, such as participating in the formulation of AI ethical standards. However, critical areas like chip manufacturing and key code must remain independent, relying on domestic ecosystems like Huawei's Ascend and Baidu's PaddlePaddle to build a national industrial chain and prevent technology cutoffs.

II. On the Correct Handling of Contradictions Among the People: Resolving Internal Contradictions in AI.

In 1957, Mao Zedong proposed resolving contradictions among the people through democratic consultation. In AI development, contradictions between technology and ethics, as well as between data sharing and privacy protection, can be addressed accordingly.

1. Resolving the Contradiction Between Technology and Ethics: Risks such as algorithmic discrimination and deepfakes in AI require the establishment of an AI ethics committee through democratic consultation, involving researchers, experts, the public, and the government. This committee should formulate ethical review guidelines, clearly prioritizing privacy in medical AI and prohibiting its use in credit scoring. A review mechanism should be established to evaluate the ethical risks of autonomous driving recommendation algorithms, ensuring technology remains human-centered.

2. Resolving the Contradiction Between Data Sharing and Privacy: AI requires massive amounts of data, but sharing may lead to privacy breaches. A controllable data-sharing system can be built. Technically, federated learning and differential privacy can achieve data usability without visibility—for example, hospitals collaboratively training models without sharing patient records. Legally, the Data Security Law can clarify ownership and boundaries, severely punishing illegal data collection, thereby finding a balance between the two.

V. On Struggle and Confrontation: Using the United Front to Address Geopolitical AI Games.

1. Strategies in the Current Anti-Japanese United Front: Building an Anti-Blockade Alliance.

In 1940, Mao Zedong proposed developing progressive forces, winning over intermediate forces, and isolating diehard forces. This approach is relevant to dealing with AI blockades imposed by countries like the United States.

(1) Develop Progressive Forces: Consolidate the domestic foundation. Progressive forces include domestic AI enterprises, research institutions, and talent—the foundation of the struggle. Policies should establish dedicated AI core funds to support foundational research. Talent development should rely on programs like the "Strong Foundation Plan" to cultivate professionals and attract overseas high-end talent. In industry, cultivate leaders like Huawei and Baidu to form a closed loop of R&D, application, and capital.

(2) Win Over Intermediate Forces: Align with neutral forces. Intermediate forces include developing countries in Southeast Asia, Latin America, and organizations like the United Nations. Technologically, export low-cost AI solutions, such as agricultural monitoring and public health early warning systems. In rule-making, jointly promote a multilateral mechanism for global AI governance, opposing monopolization of rules by a few countries. In industry, co-establish joint laboratories for multilingual AI and tropical disease diagnostics, forming a community of shared interests.

(3) Isolate Diehard Forces: Maintain a measured approach in struggles. Adhere to the principles of being justified, advantageous, and restrained in dealing with technology-blockading countries. Being justified means exposing their technological hegemony—for example, restricting chip exports while demanding open markets. Being advantageous means targeting their weaknesses—such as their dependence on global medical data—by using data security laws to restrict the outflow of sensitive data. Being restrained means preserving room for cooperation, such as academic exchanges, avoiding a technological Cold War, and securing a strategic buffer period.

Mao Zedong Thought's Guiding Significance for the Current Artificial Intelligence Technological Revolution, Part Four: VI. Under Struggle and Confrontation, Winning the AI Competition with Strategic Wisdom.

1. On Protracted War: Planning Phased Strategies for the AI Game.

In 1938, Mao Zedong divided the War of Resistance Against Japan into three stages: strategic defense, stalemate, and counteroffensive. AI competition is a long-term process that requires a similar strategic approach.

(1) Strategic Defense Phase: Solidify the foundation and address weaknesses. Currently, China lags in areas like chips and underlying algorithms, so efforts must focus on building foundational capabilities. In chips, promote domestic substitution, such as SMIC's breakthroughs in process technology. In algorithm frameworks, improve the PaddlePaddle and Ascend ecosystems to reduce dependence on foreign frameworks. In data, establish high-quality datasets in fields like healthcare and industry to lay the groundwork for future development.

(2) Strategic Stalemate Phase: Achieve breakthroughs in niche areas to accumulate advantages. Avoid competing directly in foreign-dominated general-purpose large models, and instead build barriers in specialized fields. Focus industrial AI on smart manufacturing, developing predictive maintenance systems for equipment. Focus healthcare AI on primary care, promoting low-cost diagnostic tools. Focus agricultural AI on precision farming to increase yields and disaster resilience. Through large-scale application, accumulate data and industrial experience, feeding back into technological iteration and narrowing the gap with foreign competitors.

(3) Strategic Counteroffensive Phase: Lead rule-making and drive development. Leverage technological and industrial advantages to promote AI globally. Promote China's AI standards worldwide, such as industrial AI interface standards and medical AI data norms. Export technical solutions through the Belt and Road Initiative to capture international markets. On platforms like the United Nations, lead the formulation of AI ethics and governance rules to enhance international discourse power, shifting from following to leading.

2. Why Can China's Red Political Power Exist? Achieving Asymmetric Breakthroughs in AI.

In 1928, Mao Zedong proposed "encircling the cities from the countryside," emphasizing seizing local advantages amid strong adversaries and achieving breakthroughs step by step. This thinking guides asymmetric competition in AI.

(1) Focus on Niche Advantage Scenarios. China has scenario advantages in 41 major manufacturing categories, 666 subcategories, and the needs of 1.4 billion people in livelihood areas. Avoid competing in foreign-dominated general-purpose large models, and instead deepen efforts in these niche tracks. For example, develop industrial quality inspection AI tailored to different production processes. Create livelihood service AI covering government services, elderly care, and education, forming local technological barriers.

(2) Expand from Local Advantages to the Overall Situation. First, achieve large-scale application in niche areas domestically—for example, industrial AI covering automotive, electronics, and other industries. Then export to developing countries, such as providing manufacturing AI solutions to Southeast Asia, expanding influence. Through the path of local breakthroughs, regional expansion, and global radiation, eventually build competitiveness in general AI, achieving an overall breakthrough that mirrors "encircling the cities from the countryside."

VII. Summary: The Core Value of Mao Zedong Thought for the AI Revolution.

The guidance of Mao Zedong Thought for the AI technological revolution provides a triple support of methodology, strategy, and wisdom.

Philosophical Methodology: "On Practice" and "On Contradiction" provide the underlying logic for AI research and development, preventing technology from straying from its essence.

Practical Strategies: "On the Ten Major Relationships" and "On the Correct Handling of Contradictions Among the People" offer a path for AI implementation, ensuring that technology benefits people's livelihoods.

Game Wisdom: "On Protracted War" and "The United Front" provide strategies for AI competition, helping to break through external blockades.

The core insight is that AI development must adhere to seeking truth from facts, align with national conditions, coordinate comprehensively, and balance relationships. Strategic determination, long-termism, the mass line, and benefiting people's livelihoods are essential to seize the initiative in an invisible game, achieving both technological breakthroughs and social value.