CES看风向，深圳看灵魂。 拉斯维加斯的内华达沙漠，此刻正被名为 CES 2026的科技飓风席卷 。 在这场全球科技的顶级秀场中，中国企业以占据展商总数四分之一的规模化存在 感，释放出一个比技术本身更重要的信号： AI硬件已正式跨越噱头、玩具的鸿沟，进化为具备独立思考能力的"端侧智能体"。 但如果你认为这股创新的源头只在大洋彼岸，那就错了。 就 在 1月8日，一些人的目光从拉斯维加斯拉向深圳，在阿里云举办的 "阿里云通义智能硬件展" 现场，2 20多家参展企业、1500多件展品，值得玩味的 是，其中有200余款展品正是此刻CES展台上的同款"全球首发"。 这种规模化的存在感，更折射出中国硬件产业跨越了单纯的 "代工厂"阶段，开始向全球输出源源不断的创新方案。智能硬件的底层逻辑正在重构，以往那 些依赖网络连接的受控设备，正演变为具备独立思考能力的端侧智能体。AI摆脱了发布会PPT上那种可有可无的边缘地位，它们扎根于硬件内部，化身为驱 动设备核心能力与体验的动力引擎，CES负责展示趋势，而深圳现场则负责让这些趋势规模化落地。 在这场集体转身的背后，阿里云扮演了一个既 "克制"又"野心勃勃"的角色。在通义大模型的加 ...

2025年，理想汽车在这一背景下呈现出较为清晰的路径选择。围绕VLA（视觉—语言—动作）模型， 理想将智能辅助驾驶的感知、理解与执行能力统一到同一AI架构之中，使辅助驾驶不再依赖规则堆叠 或单点优化，而是通过模型能力的持续进化推动整体体验提升。这一做法，沿着通向AGI的技术路径演 进，使过去依赖经验与规则的复杂场景，开始具备被机器理解和持续优化的可能性。 （原标题：理想汽车｜写入《2025 汽车行业影响力年鉴》） 在"十四五"规划收官之际，中国汽车产业正在进入新的发展阶段。经济观察报第十九届中国汽车年会暨 《2025汽车行业影响力年鉴》，基于公开数据、市场表现与行业共识，对年度内在技术路径与市场格局 层面产生实际影响的"明亮因子"进行系统梳理。 放在全球汽车产业的语境中，人工智能正从"功能加持"转变为决定智能化上限的核心能力。但从现实情 况看，真正具备系统性AI能力、能够将模型能力持续落地到量产产品中的汽车企业仍然屈指可数。多 数企业仍停留在局部应用或功能叠加层面，AI尚未成为其产品体系的底层逻辑。 在端侧AI的产品化探索上，理想同样走在行业前列。无论是"理想同学"在车内承担的多模态交互与智能 体角色，还是围 ...

2025年12月15日有一位读者希望获得陈伟在2024年3月讲的Building LLM-Powered Space Interaction Experience with MindGPT的pdf，因为老师让其做车载 大模型方向的调研。TOP2就顺手花几个小时语音转文字并校准了。 之后也将定期筛选记录并结构化理想历史信息，目的是让1年5年10年后希望深入研究理想的人可以方便的查阅研究理想过去究竟做了什么。 PDF见： https://pan.baidu.com/s/1k1Dm5rAWPRHm6KdVvK2pIA?pwd=xxsb 提取码: xxsb 压缩版： 三维空间人机交付从人适应机器转变为机器适应人。2023年6月发布MindGPT，以MindGPT为核心，构建感知-规划-记忆-工具-行动的完整 Agent能力。 MindGPT-MP 通过海量视听数据进行自监督学习与多任务精调，利用全车麦克风与摄像头实现同步感知。 全维感知 : 经过信号分离与融合，实现精准的用户定位与人声分离，具备多语种、多方言及情绪感知的边听边看能力。 指令自由说 : 支持不限数量的连续指令控制。 方言自由说 : 支持多种方言的自由唤 ...

App在手机里承载"理想同学"，而AI眼镜在物理世界承载"理想同学"。 理想汽车首个AI独立硬件产品，终于揭开面纱。 12月3日，理想汽车AI眼镜——Livis 正式上市，官方售价1999元，叠加补贴，起售价来到了1699元。在 这款眼镜上，理想和镜片公司蔡司进行了战略合作，理想号称这是当前市面上最轻的一款AI眼镜，仅 36g重，仅比普通眼镜重10g。 理想汽车高级副总裁范皓宇称，Livis是"从0到0.1的产品"，未来理想还会做独立终端，这个设备不用再 连手机，成为真正的穿戴机器人。"到了这个时间点，就是这一代产品真正的爆发时刻。" 基于这个定位，范皓宇称，第一款Livis的目标用户是150万名存量的理想汽车用户以及少部分科技爱好 者。 21世纪经济报道独家获悉，理想内部对这款眼镜销量预期并不高，但目标坚定——希望首款产品能获得 至少上万名种子用户，同时退货率要低于行业平均水平，且单个用户佩戴时长至少超过4小时。 成立十年来，理想一直都是最聚焦的那一个，在大家从诞生起就开始选择走车海战术的时候，只有理想 选择把一款车打磨好，2018年到2020年期间，理想都只有理想ONE一款车。而从理想L9之后，理想接 连 ...

Core Viewpoint - The article discusses Li Auto's launch of its AI glasses, Livis, priced at 1999 yuan, highlighting the company's shift from solely automotive innovation to broader AI applications in consumer electronics [1][3]. Group 1: Product Features and Differentiation - Livis is positioned as a "Li Auto-style product" focusing on user experience, despite being a lower-priced AI glasses product [3][5]. - Key features of Livis include lightweight design at 36g, long battery life of 18.8 hours, and a charging case that extends usage to four days [9][7]. - Livis operates on a proprietary system, Livis OS, which enhances voice interaction speed to 300ms for wake-up and 800ms for execution [9][12]. Group 2: Integration with Li Auto Ecosystem - Livis integrates with Li Auto's vehicle ecosystem, allowing users to control car functions such as air conditioning and seat adjustments through the glasses [12][15]. - The glasses can also provide a first-person view for vehicle summons, although this feature is currently limited by regulatory constraints [15][19]. Group 3: AI Capabilities and Future Vision - Livis incorporates Li Auto's multi-modal AI model, Mind-GPT, enhancing the voice assistant's capabilities for tasks like transcription and personalized responses [9][11]. - The company aims to transition from a smart car manufacturer to an AI technology company, indicating a broader vision for AI integration beyond automotive applications [18][19].

Core Viewpoint - The article highlights the significant achievements of the Chinese automotive industry over the past decade, particularly focusing on the growth and innovation of Li Auto, which has become a benchmark in the high-end electric vehicle market in China, achieving substantial sales and revenue milestones [13][14]. Group 1: Company Achievements - Li Auto was founded in 2015 and has established intelligent manufacturing bases in Changzhou and Beijing, becoming the first new force car company in China to achieve an annual sales volume of 500,000 vehicles and over 100 billion yuan in revenue for two consecutive years [13][14]. - In 2024, Li Auto celebrated the production of its one-millionth vehicle, achieving this milestone in just 58 months, and is actively contributing to Changzhou's goal of becoming "China's New Energy Capital" with an expected industry scale of 850 billion yuan [14]. - The company has committed over 6 billion yuan to artificial intelligence (AI) development this year, launching the VLA driver model and "Li Auto Classmate" AI, marking its entry into a new phase of AI-driven development [15]. Group 2: Technological Innovation - Li Auto has focused on core technology research and development, transitioning from external procurement to joint development and self-research, achieving self-control of the industrial chain and product leadership [18]. - The company collaborates with partners and research institutions to create joint innovation platforms, enhancing technological advancements in areas such as laser radar and smart driving chips [18]. - Li Auto's self-developed "Li Star Ring OS" has been fully open-sourced, with partnerships established with 16 industry chain partners to promote collaborative development and innovation [18]. Group 3: Supply Chain and Ecosystem - Li Auto has built a supply chain system characterized by "excellent growth, intelligent innovation, and green health," with annual procurement growing from billions to trillions in just three years [16]. - The company has established a localized industrial ecosystem, with 80% of its suppliers located in the Yangtze River Delta region, fostering a collaborative environment that enhances value creation [17]. - Li Auto's "Li Chain" ecosystem promotes shared resources and collaborative growth among nearly a thousand partners, contributing to high-quality development [16][17]. Group 4: Future Outlook - Looking ahead, Li Auto aims to solidify its innovation foundation and drive high-quality industrial development through technological advancements, while also enhancing user experience with safer and more convenient products [19].

Core Insights - The Chinese automotive industry has achieved significant advancements over the past decade, particularly in the field of new energy vehicles (NEVs), which have become a vital component for high-quality development [1] - Li Auto, established in 2015, has emerged as a leading mid-to-high-end NEV brand in China, achieving annual sales of 500,000 vehicles and over 100 billion yuan in revenue for two consecutive years [1][2] - The company is committed to innovation and has developed a robust supply chain ecosystem, known as "Li Chain," which integrates nearly a thousand partners to enhance collaborative growth [4][5] Industry Development - The NEV sector in China is projected to exceed 12 million units in annual production and sales by 2024, with Li Auto reaching its milestone of 1 million vehicles produced in just 58 months [2] - Li Auto is actively contributing to the development of Changzhou as "China's New Energy Capital," aiming for the local NEV industry to surpass 850 billion yuan in scale by 2024 [2] Technological Innovation - During the 14th Five-Year Plan period, Li Auto has focused on becoming a global leader in artificial intelligence (AI) and plans to invest over 6 billion yuan in AI development this year [3] - The company has launched the VLA driver model and "Li Xiang Classmate" AI system, marking its entry into a new phase of AI-driven development [3] Supply Chain and Ecosystem - Li Auto has established a supply chain system characterized by "excellent growth, intelligent innovation, and green health," with procurement amounts growing from billions to trillions in just three years [4][5] - The "Li Chain" ecosystem promotes localized industrial collaboration, with 80% of suppliers located in the Yangtze River Delta region, and 50% concentrated in Jiangsu [5] Talent Development - Li Auto has partnered with over a hundred universities to cultivate more than 5,000 high-end industry talents through initiatives like the "Li Xiang+" talent program [6] Future Outlook - The company aims to leverage technological innovation to drive high-quality industry development and enhance user experiences in green and smart mobility [8]

Core Insights - Li Auto received the "Outstanding Contribution Award" at the 2025 World Internet Conference for its innovations in artificial intelligence and future mobility technologies [1][3] - The award highlights Li Auto's self-developed advanced driver assistance technology, which was selected from over 400 global technological achievements [1][3] Group 1: Award Recognition - The World Internet Conference aims to recognize individuals and companies that have made significant contributions to global internet development [3] - Li Auto was distinguished as a "Growth Potential" award recipient, standing out among nearly 200 applicants, indicating high recognition in the integration of AI technology and smart vehicles [3] Group 2: Technological Advancements - Li Auto has established a comprehensive capability from academic research to practical application, focusing on converting cutting-edge theories into user-perceptible technologies and products [4] - The company has made significant breakthroughs in AI products, particularly in advanced driver assistance and smart cockpit technologies, supported by a robust R&D system and substantial investment [4] - In 2024, Li Auto underwent two technological architecture transformations for its driver assistance system, transitioning from rule-based algorithms to an AI era centered on imitation learning and reinforcement learning [4] Group 3: AI Innovations - Li Auto launched the world's first VLA driver model in August, which possesses five core capabilities: spatial understanding, thinking, communication and memory, behavior, and iteration, providing a "personal driver" experience [4] - The MindGPT multimodal cognitive model, developed by Li Auto, is the first self-developed model by an automotive company to be registered under China's "Interim Measures for the Management of Generative Artificial Intelligence Services" [6] - The Li Auto assistant has evolved from a smart voice assistant to an intelligent agent, capable of tool usage, complex task completion, and memory understanding, enhancing user convenience [6] Group 4: Future Directions - Li Auto aims to continue its commitment to open collaboration and transform the values advocated by the World Internet Conference into practical pathways for the automotive industry, promoting high-quality industry development [6]

Core Viewpoint - The article discusses the transition of AI into its "second half," emphasizing the need for new evaluation and configuration methods for AI to surpass human intelligence, particularly in the context of autonomous driving technology [1][5]. Group 1: AI Paradigm Shift - AI is moving from reliance on human-generated data to experience-based learning, as highlighted by Rich Sutton's paper "The Era of Experience" [1]. - OpenAI's former researcher, Yao Shunyu, asserts that AI must develop new evaluation methods to tackle real-world tasks effectively [1]. Group 2: Advancements in Autonomous Driving - At the ICCV 2025 conference, Li Auto's expert, Zhan Kun, presented a talk on evolving from data closed-loop to training closed-loop in autonomous driving [2][4]. - Li Auto introduced a systematic approach to integrate world models with reinforcement learning into mass-produced autonomous driving systems, marking a significant technological milestone [5]. Group 3: Li Auto's Technological Innovations - Li Auto's advanced driver assistance technology, LiAuto AD Max, is based on the Vision Language Action (VLA) model, showcasing a shift from rule-based algorithms to end-to-end solutions [7]. - The company has achieved significant improvements in its driver assistance capabilities, with a notable increase in the Human Takeover Mileage (MPI) over the past year [9]. Group 4: Challenges and Solutions in Data Utilization - Li Auto identified that the basic end-to-end learning approach faced diminishing returns as the training data expanded to 10 million clips, particularly due to sparse data in critical driving scenarios [11]. - The company aims to transition from a single data closed-loop to a more comprehensive training closed-loop, which includes data collection and iterative training through environmental feedback [12][14]. Group 5: World Model and Synthetic Data - Li Auto is developing a VLA vehicle model with prior knowledge and driving capabilities, supported by a cloud-based world model training environment that incorporates real, synthetic, and exploratory data [14]. - The ability to generate synthetic data has improved the training data distribution, enhancing the stability and generalization of Li Auto's driver assistance system [24]. Group 6: Research Contributions and Future Directions - Since 2021, Li Auto's research team has produced numerous papers, expanding their focus from perception tasks to advanced topics like VLM/VLA and world models [28]. - The company is addressing challenges in interactive intelligent agents and reinforcement learning engines, which are critical for the future of autonomous driving [35][38]. Group 7: Commitment to AI Development - Li Auto has committed nearly half of its R&D budget to AI, establishing multiple teams focused on various AI applications, including driver assistance and smart industrial solutions [43]. - The company has made significant strides in AI technology, with rapid iterations of its strategic AI products, including the VLA driver model launched with the Li Auto i8 [43].

Core Insights - The article discusses the five stages of artificial intelligence (AI) as defined by OpenAI, emphasizing the importance of each stage in the development and application of AI technologies [17][18]. Group 1: Stages of AI Development - The first stage is Chatbots, which serve as a foundational model that compresses human knowledge, akin to a person completing their education [19][4]. - The second stage is Reasoners, which utilize supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) to perform continuous reasoning tasks, similar to advanced academic training [20][21]. - The third stage is Agents, where AI begins to perform tasks autonomously, requiring a high level of professionalism and reliability, comparable to a person in a specialized job [22][23]. - The fourth stage is Innovators, focusing on the ability to generate and solve problems through real-world training and feedback, which is essential for enhancing the capabilities of AI [25][26]. - The fifth stage is Organizations, which manage multiple agents and innovations to prevent chaos, similar to how businesses manage human resources [27][28]. Group 2: Computational Needs - The demand for reasoning computational power is expected to increase by 100 times in the next five years, while training computational needs may expand by 10 times [10][29]. - The article highlights the necessity for both edge computing and cloud-based processing to support the various stages of AI development [28][29]. Group 3: Ideal Automotive Applications - The company is developing its own reasoning models (MindVLA/MindGPT) and agents (Driver Agent/Ideal Classmate Agent) to enhance its autonomous driving capabilities [31][33]. - By 2026, the company plans to equip its autonomous vehicles with self-developed advanced edge chips for deeper integration with AI [12][33]. Group 4: Training and Skill Development - Effective training for AI involves enhancing three key abilities: information processing, problem formulation and solving, and resource allocation [39][40][41]. - The article emphasizes that successful AI applications require extensive training, akin to the 10,000 hours of practice needed for mastery in a profession [36][42].