来源：中国基金报 【导读】雷军直播现场拆小米YU7，YU7拆至白车身，雷军直播回应"7000法务""不让农民卖小米""绿 化带战神"，冲上热搜！ 1月3日晚，小米创办人、董事长兼CEO雷军进行2026年的第一场直播。该直播以工程师现场拆解全新小 米YU7为主要形式展开，并回应了部分网络谣言，直面市场对汽车技术与安全的关切，全程持续4个多 小时，引发全网热议。"雷军直播"话题一度冲上热搜榜第四位。 直播的最后，雷军坦言，过去一段时间扑面而来的质疑，让他们有点懵。其中不少是恶意的抹黑，包 括"7000法务""不让农民卖小米""绿化带战神"等，甚至他自己发健身的微博也会被骂。网络尬黑也给他 造成了很大的心理阴影，因此他双手赞成打击整治黑水军，今年也将强化小米法务团队建设。 谈到2026年的计划，雷军表示，小米将聚焦三个方面。一是坚持技术立业，过去五年小米在技术研发上 差不多投了1050亿元，未来五年至少会投2000亿元。二是加大对大模型的投入，用AI全面赋能。三是 坚持为用户打造"人车家全生态"的体验，把产品做到极致。 此外，雷军还公布了三个目标：一是健身，今年将继续打卡100次。二是去年提到的学叉车因时间问题 未 ...

【 导读】雷军直播现场拆小米YU7，YU7拆至白车身，雷军直播回应"7000法务""不让农民卖小米""绿 化带战神"，冲上热搜！ 中国基金报记者 忆山 1月3日晚，小米创办人、董事长兼CEO雷军进行2026年的第一场直播。该直播以工程师现场拆解全新小 米YU7为主要形式展开，并回应了部分网络谣言，直面市场对汽车技术与安全的关切，全程持续4个多 小时，引发全网热议。"雷军直播"话题一度冲上微博热搜榜第四位。 直播的最后，雷军坦言，过去一段时间扑面而来的质疑，让他们有点懵。其中不少是恶意的抹黑，包 括"7000法务""不让农民卖小米""绿化带战神"等，甚至他自己发健身的微博也会被骂。网络尬黑也给他 造成了很大的心理阴影，因此他双手赞成打击整治黑水军，今年也将强化小米法务团队建设。 谈到2026年的计划，雷军表示，小米将聚焦三个方面。一是坚持技术立业，过去五年小米在技术研发上 差不多投了1050亿元，未来五年至少会投2000亿元。二是加大对大模型的投入，用AI全面赋能。三是 坚持为用户打造"人车家全生态"的体验，把产品做到极致。 此外，雷军还公布了三个目标：一是健身，今年将继续打卡100次。二是去年提到的学叉车因时 ...

Core Viewpoint - The live stream by Lei Jun, founder and CEO of Xiaomi, focused on the disassembly of the new Xiaomi YU7 and addressed various online rumors, highlighting the company's commitment to transparency and product quality [2][3]. Group 1: Live Stream Highlights - The live stream lasted over four hours and became a trending topic on social media, showcasing the disassembly of the Xiaomi YU7 standard version [2][7]. - Lei Jun expressed confidence in the quality of Xiaomi's vehicles, emphasizing the company's serious approach to car manufacturing and substantial investment in materials [8][14]. Group 2: Company Plans and Goals - Xiaomi plans to invest at least 200 billion yuan in technology research and development over the next five years, building on the 105 billion yuan invested in the past five years [5]. - The company aims to deliver 550,000 cars in 2026, with a focus on creating an integrated ecosystem for users [5][10]. Group 3: Addressing Online Rumors - Lei Jun acknowledged the impact of online criticism and malicious rumors on his mental well-being, stating that the company will strengthen its legal team to combat defamation [3][17]. - He denied the rumor of having 7,000 legal staff, clarifying that such claims are exaggerated [17][18]. Group 4: Safety and Technology - The Xiaomi YU7 features a "wheel drop to protect the car" safety strategy, which aims to mitigate damage during collisions [14]. - The company has introduced an enhanced driving assistance system, emphasizing the importance of driver safety and the need for users to keep the electronic stability program (ESP) activated while driving [12][16].

直播的最后，雷军坦言，过去一段时间扑面而来的质疑，让他们有点懵。其中不少是恶意的抹黑，包 括"7000法务""不让农民卖小米""绿化带战神"等，甚至他自己发健身的微博也会被骂。网络尬黑也给 他造成了很大的心理阴影，因此他双手赞成打击整治黑水军，今年也将强化小米法务团队建设。 【 导读 】雷军直播现场拆小米YU7，YU7拆至白车身，雷军直播回应"7000法务""不让农民卖小 米""绿化带战神"，冲上热搜！ 中国基金报记者 忆山 1月3日 晚 ，小米创办人、董事长兼CEO雷军进行2026年的第一场直播。该直播以工程师 现场拆解全 新小米YU7为 主要形式展开，并回应了部分网络谣言， 直面 市场 对汽车技术 与安全 的关切，全程持 续4 个多 小时，引发全网热议。"雷军直播"话题一度冲上微博热搜榜第四位。 谈到2026年的计划，雷军表示，小米将聚焦三个方面。一是坚持技术立业， 过去五年 小米在技术研发 上 差不多 投了 1050亿 元， 未来五年至少会投2000亿 元。二是加大对大模型的投入，用AI全面赋 能。三是坚持为用户打造"人车家全生态"的体验，把产品做到极致。 此外，雷军还公布了三个目标：一是健身，今年将继 ...

以下文章来源于一见Auto ，作者易思琳 一见Auto . 汽车竞争中的野心、方法论与新秩序。21世纪经济报道旗下汽车报道品牌。 作者 | 易思琳 来源 | 见谈｜小米陈光：我们不想制造技术焦虑了 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 本文只做学术分享，如有侵权，联系删文 理想汽车智驾团队从端到端+世界模型全面切向VLA（Vision Language Action），在算法架构中引入大语言模型（LLM）。和理想一样坚定选择VLA的还 有智驾供应商元戎启行。 行业里也有坚定的VLA反对派。华为表示，不会走向VLA，而是会坚定选择WA（World Action，世界模型）。和华为一样尝试去掉Language环节的还有小 鹏。 而在这场争鸣中，端到端仍展现出巨大的潜力，小米汽车就是在这一方向持续深耕的企业。 "现在竞争太激烈，大家会产生一些焦虑，倾向于通过各种方式或技术让用户觉得更先进。"小米汽车端到端负责人陈光告诉《21汽车·一见Auto》， "但无 论VA、WA还是VLA，在我看来其实都一样，都 ...

2025年，智能驾驶行业出现"名词过载"现象，从VLA、VA、到WA，分化出多个派别，争鸣不断。 理想汽车智驾团队从端到端+世界模型全面切向VLA（Vision Language Action），在算法架构中引入大 语言模型（LLM）。和理想一样坚定选择VLA的还有智驾供应商元戎启行。 行业里也有坚定的VLA反对派。华为表示，不会走向VLA，而是会坚定选择WA（World Action，世界 模型）。和华为一样尝试去掉Language环节的还有小鹏。 而在这场争鸣中，端到端仍展现出巨大的潜力，小米汽车就是在这一方向持续深耕的企业。 "现在竞争太激烈，大家会产生一些焦虑，倾向于通过各种方式或技术让用户觉得更先进。"小米汽车端 到端负责人陈光告诉《21汽车·一见Auto》，"但无论VA、WA还是VLA，在我看来其实都一样，都是看 如何让模型的智能密度最大。" 现有头部新势力中，小米汽车启动端到端研发较晚。2024年，小米在内部正式整合成立"端到端算法与 功能部"，负责量产方案开发。而理想、蔚来都比小米早了至少3个月。 但小米追赶很快。今年2月，小米正式向用户全量推送了300万Clips的端到端（HAD），7月再次 ...

Core Insights - Xiaomi Auto announced a delivery volume exceeding 40,000 units for three consecutive months, with November 2025 recording a total of 40,000 units delivered [1] - The cumulative delivery of Xiaomi Auto surpassed 300,000 units within 15 months of its launch, with 157,000 units delivered in the first half of 2025 [3] - Xiaomi Auto achieved a record of 500,000 units produced in just 602 days since the launch of its first model, SU7, on March 28, 2024 [5] Delivery Performance - In October 2025, Xiaomi Auto's retail sales reached 48,654 units, with the YU7 model contributing 33,662 units to the wholesale sales [3] - The monthly delivery first exceeded 30,000 units starting in July 2025 [3] Technological Advancements - On November 21, Xiaomi Auto unveiled the enhanced version of its HAD driver assistance system, incorporating reinforcement learning and world model architecture [8] - The new version includes upgrades to AEB collision avoidance and adds features such as forward and backward low-speed collision assistance and AES emergency steering assistance [8] - Xiaomi has invested over 7 billion yuan in AI and has assembled a team of over 1,800 personnel focused on intelligent driving [8]

Core Insights - The automotive industry is transitioning from traditional hardware competition to a new era driven by AI, which is deeply integrated into vehicle control and intelligent driving, transforming cars into essential "smart partners" and "ecological hubs" in daily life [2][12] AI Empowerment and Breakthroughs - AI technology has penetrated various aspects of the automotive sector, including intelligent driving and smart cockpits, showcasing significant advancements in both technical depth and application breadth [3] - The shift towards software-defined intelligent platforms is evident, with companies like Li Auto and Xiaomi showcasing advanced driver assistance systems that enhance user experience and mimic human decision-making [3][4] Market Accessibility and Cost Reduction - The price range of 120,000 to 150,000 yuan has emerged as a new battleground for intelligent driving, with companies like GAC Toyota and Dongfeng Nissan introducing advanced features at lower price points due to a significant drop in core component costs [4] - The cost of automotive-grade lidar has decreased from approximately 8,000 yuan in 2023 to below 3,000 yuan, indicating a trend towards more affordable intelligent driving technologies [4] Intelligent Cockpit Innovations - AI models are transforming traditional vehicles into emotionally aware travel companions, as seen in the Roewe M7 DMH's AI cockpit system, which offers advanced interaction capabilities and personalized user experiences [5] - The system can understand complex commands and remember user preferences, enhancing the overall driving experience [5] New Automotive Ecosystem - AI serves as a core hub connecting various elements of a vast automotive ecosystem, integrating travel services, energy networks, hardware, software applications, and urban infrastructure [7] - This integration breaks down the traditional isolation of vehicles, creating a more interconnected and efficient transportation network [7] Integrated Smart Mobility - AI is the foundational technology for building an integrated "vehicle-road-cloud" smart mobility ecosystem, enhancing collaborative driving and optimizing traffic network efficiency [8] - In the energy sector, AI is transforming vehicles into active participants in smart energy networks, improving battery management and charging efficiency [8] Comprehensive User Experience - AI is becoming the central engine for connecting "people-vehicles-home" ecosystems, evolving cars from mere transportation tools to personal mobility control centers [9] - The shift in human-machine interaction is moving towards an AI-centric model, where AI understands user intentions and provides tailored services [9] Industry Transformation - The dual drive of AI and ecosystem integration is reshaping the global automotive industry's competitive landscape, requiring participants to reassess their roles and value [11] - The focus of competition has shifted from mechanical performance to intelligence and ecosystem integration, with new business models emerging that emphasize lifecycle value rather than one-time hardware sales [11] Future Outlook - The automotive industry is moving from a horsepower competition to one focused on computing power and collaboration, with AI as the driving force behind this transformation [12] - Companies must understand these trends and build comprehensive capabilities to thrive in the evolving automotive landscape [12]

Core Insights - The Guangzhou International Auto Show serves as a significant platform for showcasing the achievements of the automotive market in the past year and indicates the development direction for the upcoming year [3][10] - The event features a total of 1,085 vehicles, with 629 being new energy vehicles and 93 global debuts, highlighting the growing emphasis on electric and intelligent vehicles [3][10] Industry Trends - Domestic brands are making significant advancements in technology, particularly in smart driving and battery range, with consumers increasingly impressed by the capabilities of local manufacturers [3][4] - The focus on innovation is evident, as companies like Geely and Deep Blue showcase new hybrid systems and advanced driver-assistance technologies, indicating a shift towards energy efficiency and performance [4][5] - The trend of software innovation is gaining traction, with several domestic brands moving from hardware-centric development to software updates via OTA, enhancing user experience [5][10] International Brand Strategies - Joint venture brands are actively transforming to adapt to market changes, with Volkswagen planning to launch around 40 new models in China from 2025 to 2027, over half of which will be electric [6][10] - Toyota's GAC is implementing a "dual fuel" strategy, moving away from the "sister car" approach to differentiate its product offerings [6][10] - Luxury brands like BMW and Mercedes-Benz are showcasing extensive lineups, emphasizing their commitment to both electric and hybrid technologies [6][7] Marketing and Consumer Engagement - The marketing approach at this year's auto show has shifted from exaggerated promotional tactics to more practical product demonstrations, reflecting a more mature consumer base [8][9] - Companies are focusing on providing hands-on experiences for consumers, allowing them to better understand vehicle features and capabilities [9][10] Future Outlook - The automotive industry in China is undergoing profound changes, with technology innovation being the core driver of development, particularly in the fields of new energy and intelligent connectivity [10] - The future landscape will likely see a coexistence of various technological routes, including pure electric, plug-in hybrid, and range-extended vehicles, alongside intensified competition between domestic and joint venture brands [10]

Investment Rating - The report maintains an "Outperform" rating for the automotive industry [4][6]. Core Insights - The penetration rate of NOA (Navigation on Autopilot) in urban areas reached 16% in September, with significant advancements in autonomous driving technologies from companies like Xiaopeng and others [1][16]. - The report highlights a continuous increase in the adoption of high-resolution cameras, with 800 million pixel cameras accounting for 46.7% of the market by September 2025, reflecting a year-on-year increase of 28 percentage points [2]. - The market share of lidar technology is also on the rise, with a penetration rate of 12.2% for passenger vehicles by September 2025, up 5.3 percentage points year-on-year [2]. Summary by Sections Industry News - Xiaopeng launched its second-generation VLA, Robotaxi, and the new generation IRON, marking a significant step in the integration of AI in transportation [1][16]. - Other notable developments include the mass production plans for autonomous trucks by Xiaoma Zhixing and the acquisition of a pure unmanned license by WeRide in Switzerland [1]. High-Frequency Core Data Updates - The penetration rate of front-view cameras in passenger vehicles reached 67.8% by September 2025, with a notable increase in the adoption of 800 million pixel cameras [2]. - The share of Nvidia chips in the driving domain increased to 57.6%, reflecting a year-on-year growth of 25.9% [2]. Smart Driving - The penetration rate of passenger vehicles equipped with L2-level or higher functions reached 34.8% by September, with significant growth in both highway and urban NOA functionalities [3]. - The report indicates that the penetration rates for various sensors, including front-view cameras and lidar, have shown consistent growth [3]. Investment Recommendations - The report recommends investing in companies such as Xiaopeng Motors, Leap Motor, and Geely for complete vehicles, while suggesting Xiaoma Zhixing and WeRide for L4 technologies [4]. - For components, it recommends companies like Hesai Technology for data acquisition and Horizon Robotics for data processing [4].