过去的这个国庆长假，交通出行有多疯狂，智驾品牌就有多安静。 一份来自央视网的报道显示，这个十一期间，平均每天有1250万辆新能源汽车从路上飞驰而过，这一数据比去年同期增长30%，较平日增长70%。 庞大的出行需求，带来了复杂的交通场景，也成为检验智驾产品效果的绝佳契机。 截至目前，头部新能源车企中，除华为、小米外，大部分品牌的信息发布渠道中，已经看不到智驾的相关战报。 与之相对应的是，新能源行业用另一则大消息，标定了智驾赛道前线烽火的方位。 公开资料显示，十一假期结束后的首周，小鹏、蔚来智驾团队均出现重大人事、组织架构调整，涉及多位高管变动，其中，小鹏智驾业务更是直接换帅， 李力耘不再担任自动驾驶中心负责人，世界基座模型负责人刘先明接替该职位。 战报哑火、高管更替，一静一动之间，从2024的"智驾元年"，到2025的"全民智驾元年"，短短两字之变背后，属于这一赛道的游戏规则，已经悄然发生了 更迭。 1、全民智驾元年，行业换了种玩法 从战报声量的消退，到业务团队的调整，一个直观的趋势已经显现： "智驾元年"到"全民智驾元年"，行业拼的不是普及率、渗透率的数字游戏，而是技术层面的"刺刀见红"。 也正因如此，过去几 ...

Core Insights - The 2025 China Mobile Global Partner Conference showcased the evolution of China Mobile from a "pipeline operator" to a technology innovation enterprise, highlighting the increasing diversity and quality of exhibitors [1] - The conference theme "Carbon-Silicon Symbiosis Co-creation in the AI+ Era" emphasizes the dual scale effects of AI in technology capabilities and economic benefits, promoting a new model of "human-machine co-governance" [1] Group 1: AI Applications and Innovations - China Mobile's self-developed VLA model enables humanoid robots to perform complex tasks in a restaurant setting, showcasing advancements in multi-robot collaboration and operational efficiency [2] - The "AI+ Flexible Production Line" solution enhances manufacturing efficiency by allowing personalized adjustments for small-batch production, supported by a digital twin system [3] - The "Barrier-Free Communication" solution aids hearing-impaired individuals by creating personalized voice recognition models, improving communication capabilities [3] Group 2: Collaborative Industry Upgrades - The conference highlighted the collaborative efforts between China Mobile and various partners, expanding the participant structure beyond traditional telecommunications to include AI, computing power, and industry integration solutions [4] - Companies like Zhiyuan Innovation and AsiaInfo showcased their robotic products and solutions, demonstrating the integration of AI technologies in various sectors [5] Group 3: Investment in AI Infrastructure - China Mobile plans to double its investment in AI by 2028, aiming to build the largest and most advanced intelligent computing infrastructure in China, with a target of exceeding 100 EFLOPS in intelligent computing power [7] - The company has already achieved significant milestones, including a total investment of 37.1 billion yuan in computing power networks for 2024, with a projected increase to 37.3 billion yuan in 2025 [7] - Partnerships with companies like Huakun Zhenyu and H3C Technology focus on developing customized computing products to meet the growing demands of AI applications [8][9] Group 4: Strategic Vision and Future Plans - China Mobile's "14th Five-Year Plan" emphasizes the role of AI as a strategic focus, positioning the company as a provider, aggregator, and operator of AI solutions to generate greater economic and social value [9][10]

最后挖了个坑，说下一篇要详细讲一讲另一条技术路线WA世界模型。 毕竟， 华为智能汽车解决方案BU CEO 靳玉志 曾表示， VLA大模型是一条取巧的技术路线，华为不会选择，而是会坚定的走WA世界模型路线。 从评论区社友们的反馈来看，催更呼声很高： 话不多说，咱们今天就来聊聊 WA世界模型到底是什么？它与传统端到端和VLA技术路线到底有什么差别？分别有何优势劣势？ 01. 让机器解析物理世界 关注 「电动车公社」 和我们一起重新思考汽车 大家好，我是电动车公社的社长。 前几天，我们写了一篇分析近期辅助驾驶领域非常时髦的一条技术路线，VLA语言动作大模型的文章： 《理想、小鹏重金押注VLA大模型！"天才"还是"傻 瓜"？》 说起WA世界模型，或许对辅助驾驶领域比较关注的朋友，第一时间会想起 华为和蔚来 ，这两家都是对外已经官宣走WA世界模型这条路线的典型代表。 尤其是华为，作为现阶段公认辅助驾驶界TOP1的存在，"五界"+乾坤智驾基本上涵盖了将近半个车圈。 所以说，WA世界模型这条技术路线，至少在现阶段产品覆盖度是相当高的。 实际上，和VLA大模型一样，WA世界模型这个概念最早并不是由华为或蔚来等国内公司首次提出 ...

Core Viewpoint - The acquisition of a 35.8% stake in Zhuoyu Technology by FAW is expected to enhance operational collaboration and accelerate production, although concerns exist regarding potential impacts on partnerships with other automakers [1][3]. Group 1: Acquisition Details - FAW has signed an agreement to acquire a stake in Zhuoyu Technology, which was previously controlled by New Territory Technology Company Limited [1]. - Post-transaction, FAW will become the largest single shareholder of Zhuoyu Technology, with New Territory holding 34.85% [1]. - Zhuoyu Technology is expected to maintain independent operations despite the new ownership structure [1]. Group 2: Company Background - Zhuoyu Technology originated from DJI's automotive division and was established in 2016, focusing on intelligent driving technology [2]. - The company became independent from DJI in 2023 and officially adopted the "Zhuoyu" brand in June 2024 [2]. - Zhuoyu Technology has been recognized as a pioneer in intelligent driving, launching its first assisted driving solution in 2022 on the Baojun KiWi EV model [2]. Group 3: Market Position and Challenges - Despite its innovations, Zhuoyu Technology has faced criticism for lagging behind competitors in market presence and production scale [2]. - As of this year, Zhuoyu Technology has expanded its partnerships to nine automakers, including BYD and Audi, and has nearly 20 production models [3]. - The acquisition by FAW may strengthen Zhuoyu's operational ties with FAW but raises questions about its ability to collaborate with other automakers [3].

一边是以优必选、智平方为代表的企业，正将人工智能大模型 的技术进展投入实际的商业和工业场景；另一边则是冷劲松提 出的，从更底层的智能材料入手，来重构机器人"身体"的设 想。这两种不同的做法，都在探索中国具身智能的下一步。 作者： 郑晨烨 封图：图虫创意 具身智能的产业叙事正变得越来越聚焦于"大脑"的进化速度。 比如，优必选（09880.HK）在9月9日宣布，其研发的百亿参数多模态大模型Thinker，在由微软、 谷歌等机构发起的三大国际机器人权威基准测试中，获得了四项全球第一；9月11日，经济观察报 记者亦从智平方（深圳）科技有限公司获悉，其VLA（视觉－语言－行动）大模型驱动的具身智 能机器人，将在未来三年内，以超过千台的规模，进入惠科股份有限公司的半导体显示全球生产基 地。 但在9月19日于深圳举办的科技创新院士报告厅活动上，中国科学院院士、哈尔滨工业大学未来技 术学院院长冷劲松的报告内容，却并未过多提及当前产业界激烈讨论的具身大模型，而是将焦点放 在了一个更底层的环节——"身体"本身。 冷劲松表示，现有的具身智能概念通常包括感知、决策、控制三层，但缺少了最关键的"执行层"， 而他和他的团队所研究的能够主 ...

《三国演义》如此，车企们的辅助驾驶技术路线同样如此。 去年年初，特斯拉正式将上线端到端之后，几乎全行业都进行了快速的跟进，使得城市领航辅助功能正式在新车上迎来普及。 但经过了一年的时间， 如今辅助驾驶技术路线又一次走到了命运的岔路口，选手们开始分道扬镳。 关注 「电动车公社」 和我们一起重新思考汽车 天下大势，分久必合，合久必分。 这两条岔路，名为 "VLA"视觉语言动作模型 和 "WA"世界模型 。 不久之前，理想刚刚更新了8.0版本，其中最核心的升级点，就是为其辅助驾驶系统全量推送了VLA司机大模型。 而当天李想就发微博表示， 理想汽车的辅助驾驶已经从"局部领先"进入"全面领先"。 同样走VLA技术路线的，还有长期被公认为辅助驾驶第一梯队的小鹏。 但有趣的是，早期小鹏并没有明确站队。 直到小鹏G7 Ultra 发布会上，何小鹏掏出了自研的图灵芯片，小鹏的VLA技术路线才随之公之于众。 不仅如此，在全新小鹏P7上市发布会当晚的专访环节，何小鹏直接语出惊人道： "只有小鹏是真VLA，部分公司是嫁接的。" 不仅如此，春晚上表演机器人丢手绢的宇树科技，其创始人王兴兴也作为反方发表了"暴论"： "VLA是一个相对傻 ...

Core Viewpoint - The company reported its Q2 2025 financial results, showing a decline in revenue but resilience in gross margin, with a focus on upcoming product launches and technological advancements in the electric vehicle sector [1][4]. Revenue Performance - In Q2 2025, total revenue reached 30.25 billion yuan, reflecting a year-on-year decrease of 4.5% but a quarter-on-quarter increase of 16.7% [1]. - Automotive revenue was approximately 28.89 billion yuan, with a year-on-year decline of 4.7% and a quarter-on-quarter increase of 17.0% [1][2]. - The average selling price (ASP) decreased from 266,000 yuan in Q1 2025 to 260,000 yuan in Q2 2025 [2]. Sales Volume - The company delivered 111,000 vehicles in Q2 2025, representing a year-on-year increase of 2.3% and a quarter-on-quarter increase of 19.6% [2]. - The sales distribution for key models in Q2 2025 included L9 (13.0%), L8 (13.3%), L7 (23.8%), L6 (46.8%), and Mega (3.1%) [2]. Profitability - The automotive business gross profit was 5.61 billion yuan, with a year-on-year decrease of 1.3% but a quarter-on-quarter increase of 15.1% [2]. - The gross margin for automotive business stood at 19.4%, showing a year-on-year increase of 0.7 percentage points but a quarter-on-quarter decrease of 0.3 percentage points [2]. - The net profit attributable to shareholders was 1.09 billion yuan, with a year-on-year decrease of 0.8% but a quarter-on-quarter increase of 68.0% [1]. Research and Development - R&D expenses for Q2 2025 were 2.81 billion yuan, reflecting a year-on-year decrease of 7.2% but a quarter-on-quarter increase of 11.8% [3]. - The R&D expense ratio was 9.3%, showing a year-on-year decrease of 0.3 percentage points [3]. Future Outlook - The company anticipates Q3 2025 vehicle deliveries to be between 90,000 and 95,000 units, with a year-on-year decline of 41.1% to 37.8% [4]. - The upcoming launch of the Li Auto i6, a mid-large five-seat pure electric SUV, is expected in September 2025, with a starting price of 250,000 yuan [4]. - The VLA (Vehicle Learning Architecture) system is set to enhance the driving performance of new models, with significant updates planned for the end of 2025 [4]. Investment Recommendations - The company is expected to leverage its user insights and efficient organizational structure to continue innovating in product offerings, particularly in the electric vehicle market [4]. - Revenue projections for 2025-2027 are estimated at 127.21 billion, 178.04 billion, and 200.95 billion yuan, with net profits of 5.01 billion, 11.41 billion, and 14.55 billion yuan respectively [4].

Core Viewpoint - The company reported its Q2 2025 financial results, showing a mixed performance with revenue under pressure but resilient gross margins, and a strong outlook for future vehicle deliveries and new model launches [2][10]. Revenue Performance - In Q2 2025, the company achieved total revenue of 30.25 billion yuan, with year-on-year and quarter-on-quarter changes of -4.5% and +16.7% respectively [3]. - The automotive business revenue was approximately 28.89 billion yuan, reflecting a year-on-year decline of 4.7% but a quarter-on-quarter increase of 17.0% [3]. - The average selling price (ASP) decreased from 266,000 yuan in Q1 2025 to 260,000 yuan in Q2 2025 due to changes in product mix and increased customer incentives [3]. Sales Volume - The company delivered approximately 111,000 vehicles in Q2 2025, representing a year-on-year increase of 2.3% and a quarter-on-quarter increase of 19.6% [3]. - The sales distribution for models in Q2 2025 included 13.0% for L9, 13.3% for L8, 23.8% for L7, 46.8% for L6, and 3.1% for Mega [3]. Profitability - The automotive business gross profit for Q2 2025 was 5.61 billion yuan, with a gross margin of 19.4%, showing a year-on-year increase of 0.7 percentage points [5]. - The net profit attributable to shareholders was 1.09 billion yuan, with a non-GAAP net profit of 1.46 billion yuan, reflecting a year-on-year decrease of 2.7% but a quarter-on-quarter increase of 43.8% [5]. Research and Development - R&D expenses for Q2 2025 were 2.81 billion yuan, with an R&D expense ratio of 9.3%, showing a year-on-year decrease of 0.3 percentage points [6]. - The increase in R&D expenses quarter-on-quarter was driven by new vehicle project progress and support for an expanding product portfolio [6]. Charging Infrastructure - As of July 20, 2025, the company had established 2,902 fast charging stations and 15,945 charging piles across 31 provinces and 255 cities [7]. Cash Flow - The net cash used in operating activities for Q2 2025 was 3 billion yuan, while the free cash flow was -3.8 billion yuan [8]. Future Outlook - The company expects Q3 2025 vehicle deliveries to be between 90,000 and 95,000 units, with projected revenue of approximately 24.8 billion to 26.2 billion yuan [10]. - The upcoming launch of the Li Auto i6, a mid-large pure electric SUV, is anticipated to enhance sales, targeting a younger consumer demographic [10].

Core Viewpoint - Xiaopeng Motors has achieved significant sales success with the new Xiaopeng P7, receiving 10,000 pre-orders in just 7 minutes, indicating strong market demand and consumer interest [2][56]. Group 1: Sales Performance - The new Xiaopeng P7 received 10,000 pre-orders in 7 minutes, showcasing its popularity compared to other models like the Xiaomi SU7 and Xiaopeng MONA M03, which had longer pre-order times [2][4]. - Xiaopeng Motors reported that its sales in the past year and a half are equivalent to the total sales of the previous nine years, highlighting a remarkable growth trajectory [56]. Group 2: Technological Advancements - Xiaopeng Motors has shifted from supporting laser radar to a pure vision approach for autonomous driving, aligning with industry trends and competitors like Tesla [13][26]. - The company claims its self-developed Turing chip has an effective computing power equivalent to three NVIDIA Orin X chips, significantly enhancing its autonomous driving capabilities [38][41]. - The advancements in computing power are expected to improve the performance of pure vision systems, allowing them to handle complex driving scenarios better than before [33][34]. Group 3: Future Outlook - Xiaopeng Motors aims to launch L4 autonomous vehicles by 2026 and is considering partnerships for robotaxi operations, indicating a strategic approach to future mobility solutions [49][54]. - The company anticipates a significant update in its autonomous driving capabilities by the end of this year, claiming it will outperform competitors by a factor of ten [49][56]. - Despite the positive outlook, the CEO acknowledges that the automotive industry remains competitive, with no company guaranteed success [60][62].

Core Viewpoint - The article discusses the recent surge in advancements in intelligent driving (智驾) technology in China, highlighting the competitive landscape and the emergence of new models that significantly enhance driving capabilities [4][5]. Group 1: Industry Dynamics - The recent actions in the intelligent driving sector are driven by several key factors, including the launch of new models by leading companies such as Li Auto, Momenta, Yuanrong, and Xpeng, all of which are introducing their versions of the VLA (Visual Language Action) model [5][10]. - The VLA model is positioned as a significant upgrade over previous end-to-end models, with its current version reportedly exceeding the capabilities of earlier models expected in mid-2024 [6][10]. - The shift from CNN-based models to Transformer-based models represents a fundamental change in the underlying technology, enhancing the model's ability to mimic human cognitive processes [7][12]. Group 2: Technical Advancements - The VLA model integrates perception, reasoning, and action execution into a single framework, moving away from the segmented approach of earlier models [7][9]. - The introduction of Chain of Thought (CoT) capabilities allows the VLA model to break down complex driving decisions into logical steps, improving decision-making reliability and transparency [11][15]. - The model's ability to learn from vast amounts of data enhances its generalization capabilities, enabling it to handle previously unseen driving scenarios effectively [15][22]. Group 3: Future Outlook - The VLA model is still in development, with ongoing efforts to enhance its CoT capabilities and overall performance [24]. - Key future tasks include collecting more data from testing fleets and refining the model based on technological trends [24][25]. - The cost of implementing VLA technology is primarily influenced by chip requirements, with higher-end models being more compatible, while lower-cost models may also have opportunities for adaptation [26].