理想第二个十年，三大关键选择： 李想25Q3电话会议画饼压缩版： 组织： 从25Q4回归创业公司管理模式，放弃过去三年采用的职业经理人模式。 职业经理人模式成功三要素：1.行业和技术周期相对稳定。2.企业的行业地位领先且稳固。3.创始人 和创业团队没动力或不在了。案例：苹果/微软 创业公司模式成功三要素：1.行业和技术周期在发生巨大的变化。 2.行业格局不确定，企业还不是领 先者。 3.创始人和创业团队每天还在投入的努力工作，充满动力。案例：英伟达/特斯拉 产品： 停留在电动车，竞争逻辑只是参数与功能堆砌。未来10年具身智能最有价值的产品，一定是 具备自动和主动能力的汽车，提供飞机头等舱的服务与母亲般无微不至的照顾。 技术： 数字世界AI与物理AI是完全不同的系统能力。 具身智能系统包含：感知（眼睛、耳朵）模型（大脑）操作系统（神经）算力（心脏）本体（身 体）。行业急切需要改变的很多： 1.感知：行业现在的3D有效感知距离（非理论最大）为100多米，如果升级成人眼工作原理相似的3D 传感器，有效距离可以扩大2~3倍，今天辅助驾驶50%以上的常见问题将解决。3D感知不仅限于自动 驾驶的领域，在车外和车主的主动交 ...

Core Viewpoint - The company is returning to a founder-led management model to better adapt to the challenges posed by new technologies and the competitive landscape in the AI era [1][3]. Group 1: Management Strategy - The chairman of the company, Li Xiang, announced a shift back to a startup management model starting in Q4, emphasizing the importance of founder involvement for strategic decision-making and implementation [1][3]. - The company has undergone multiple organizational adjustments in 2023, including integrating sales and service under the president and placing talent management directly under the founder's leadership [3][4]. - Li Xiang highlighted that many successful companies, such as Nvidia and Tesla, still operate under a startup management model, suggesting that this approach is effective for maintaining strategic coherence and agility [3][4]. Group 2: Vision and Goals - The company's vision has evolved to become a leading global AI terminal enterprise, with a target to excel in the field of embodied intelligence over the next 3 to 5 years [1][6]. - Li Xiang emphasized the need to address fundamental questions about product and technology direction, focusing on developing embodied intelligent products that can significantly enhance user experiences [7][10]. Group 3: Technological Development - The company is making significant investments in AI, with over 50% of its R&D budget allocated to this area, supported by a cash reserve of 98.9 billion [9][10]. - The company has achieved notable advancements in AI models, chips, and operating systems, including the launch of the MindVLA model and the development of its self-developed AI chip, M100, expected to be implemented in vehicles next year [9][10]. - The company plans to release its first smart glasses in December, marking a strategic move into the embodied intelligence sector [9][10].

Core Viewpoint - Dongfeng Motor Group has established the "Embodied Intelligence Technology Hubei Provincial Key Laboratory," enhancing its strategic layout in intelligent technology and contributing to the high-quality development of China's automotive industry [1][3]. Group 1 - The key laboratory is a collaboration between Dongfeng Motor, top domestic universities, and leading industry enterprises, focusing on national strategies such as "Transportation Power" and "Artificial Intelligence+" [3]. - The laboratory will concentrate on four major research directions: embodied perception execution, embodied computing platforms, core algorithms, and supporting technologies, aiming to become a leading domestic and internationally influential innovation platform within 3-5 years [3]. - Dongfeng Motor plans to launch the "New Automobile, New Life" technology leap 3.0 in September 2024, introducing the concept of "automobile embodied intelligence" and enhancing user experience through a "three-network integration, five-intelligence unity" approach [3]. Group 2 - Dongfeng Motor has achieved significant breakthroughs in embodied intelligence, including the use of 2000 MPa ultra-high-strength steel and hot forming technology, and the deployment of the industry's first 16,000-ton integrated die-casting equipment [3]. - The new generation of the Mahle power system has achieved a thermal efficiency of 47.06%, setting a new industry record, while the Mahle drive power ranges from 70 to 400 kW, supporting 800V fast charging [3]. - The smart energy management system has improved the vehicle's range by approximately 15%, and Dongfeng Lantu has released the L3-level intelligent architecture "Tianyuan Smart Framework," marking a transition from electronic control to intelligent systems [3].