近来，一种被称作"智驾神器"的方向盘配重块在网络上"走红"。这些售价数十元的小装置，号称能让车 主获得"全程免接管"的自动驾驶体验。它看似小巧智能，实则是用来欺骗车辆辅助驾驶系统的"作弊 器"，藏着不小的安全隐患。 当前，市面上部分智能驾驶系统要求驾驶员必须手握方向盘，一旦系统检测到手部离开，便会发出警 报。所谓"智驾神器"正是在这个环节钻空子——通过模拟手部压力或发送红外信号，让系统误以为驾驶 员仍在操控方向盘。这种以欺骗手段逃避安全监测的做法，无疑将自己和他人置于巨大的风险之中。 铲除"智驾神器"生存土壤，汽车企业应持续优化系统的监测逻辑与交互提醒，提升系统的精准性与抗干 扰能力。电商平台需加强对此类伪科技产品的审核力度，内容平台则应及时清理相关推广视频，阻断其 传播。监管部门也需加大对销售使用"智驾神器"等行为的执法力度，同时推动完善相关技术标准，督促 行业建立更可靠的身份验证与行为监测机制。 驾驶技术创新是为了让出行更安全、更便捷，而非制造新的风险。在迈向高阶自动驾驶的道路上，须臾 不可或缺的是驾驶者心中紧绷的安全弦。唯有守住安全底线，智能驾驶技术才能真正行稳致远。 （摘编自《科技日报》，原题为《"智 ...

Core Viewpoint - The article analyzes the notion that Li Auto lacks a second-in-command, suggesting that the company needs a figure similar to Qin Zhi to enhance its operational efficiency and sales performance. However, the article emphasizes that the primary challenge lies in adapting the organizational structure to align with advancements in physical AI, rather than merely appointing a new executive [1][2]. Group 1: Reasons for Poor Sales Performance - The article identifies that the poor sales performance of Li Auto's vehicles this year is a result of a complex interplay of multiple factors, making it difficult to predict or analyze the exact causes [2]. - It discusses the concept of value creation, transmission, and delivery as fundamental to understanding product sales [3]. Group 2: Value Analysis of Different Models - For the L series, the article notes that the competitive advantage over peers has diminished, with the main iteration point being the autonomous driving chip. However, the differences between the Thor and Orin versions are not yet evident [4]. - The i8 model faced significant challenges in value transmission, as the launch did not meet consumer expectations, leading to negative publicity [6]. - The i6 model is viewed positively, with minimal controversy regarding its value creation, although there are plans for improvements in its features [7]. Group 3: Proposed Solutions for Li Auto - The company plans to enhance product capabilities significantly in the coming years, aiming for a more substantial improvement than seen in the 2025 L series [9]. - Li Auto intends to place greater emphasis on addressing negative public sentiment and effectively communicating its advantages [9]. - The company is exploring the possibility of obtaining a proprietary battery from the Ministry of Industry and Information Technology, although the timeline for this is uncertain [9]. Group 4: Long-term Competitive Advantage - Li Auto's long-term strategy focuses on developing L4+ autonomous driving capabilities integrated with AI, which will redefine the concept of smart vehicles [10][12]. - The company aims to create a high-concentration market environment, positioning itself as a strong competitor in this evolving landscape [12]. - Future plans may include significant investments in humanoid robots, although this is not an immediate focus [11]. Group 5: Organizational Structure and Future Outlook - The article suggests that the organizational structure required to support advancements in physical AI may not necessitate a large workforce, with projections indicating that revenue could increase significantly without a proportional rise in employee numbers [14].

Core Insights - The article discusses the rapid growth and evolution of Huawei's QianKun intelligent driving system, highlighting its increasing user adoption and the need for a comprehensive ecosystem to address various driving-related challenges [2][5][12]. Group 1: Growth of Intelligent Driving - Huawei's QianKun intelligent driving system has surpassed 1 million units in August, a significant increase from 300,000 units in October of the previous year, indicating a strong user reliance on smart driving technology [2]. - The active user ratio for QianKun has reached 95.2%, showcasing a substantial acceptance of intelligent driving features among users [2]. - The penetration rate of intelligent driving in China is projected to exceed 60% by mid-2025, significantly faster than the 10 years it took for electric vehicle penetration to reach 50% [5]. Group 2: Ecosystem Development - Huawei aims to create an open ecosystem for autonomous driving, positioning itself as an "ecosystem solution provider" rather than a dominant player [4][12]. - The QianKun platform consists of four main components: autonomous driving operation platform, transaction platform, intelligent driving function platform, and operation and maintenance platform, designed to unify data and capabilities [13][16]. - The platform allows partners to develop customized services by utilizing standardized "ecosystem kits" for high-frequency scenarios such as charging, parking, and insurance [16]. Group 3: Addressing Systemic Challenges - Despite advancements in intelligent driving, significant gaps remain in the overall user experience, particularly in parking and charging, which are critical for a seamless travel experience [8][9]. - The report indicates that 30% of urban traffic is caused by vehicles searching for parking, highlighting the need for integrated solutions to improve efficiency [8]. - The average utilization rate of public charging stations is only 12.7%, with a combined failure and occupation rate exceeding 35%, indicating ongoing challenges in the charging infrastructure [8]. Group 4: Future Outlook - The automotive industry is shifting its competitive focus from electrification to the overall intelligence of vehicles, with expectations for large-scale commercialization of Level 3 autonomous driving by 2026 and Level 4 trials in urban areas [12]. - Huawei's QianKun has established partnerships with 33 vehicle models, achieving a market share of 27.8% in urban navigation assistance, with new car sales reaching 452,000 units in the first three quarters of 2025 [17]. - The transition from a technology provider to an ecosystem collaborator is crucial for Huawei to ensure sustainable value creation for its partners in the evolving automotive landscape [17].

Core Viewpoint - The article discusses the development and significance of Xiaopeng Motors' humanoid robot "IRON," highlighting the key figures behind its success and the strategic direction of the company in the field of embodied intelligence. Group 1: Key Figures in Xiaopeng Robotics - Mi Liangchuan is identified as the core leader of Xiaopeng Robotics, responsible for overseeing the technical direction and product implementation of the humanoid robot project [6][20]. - Mi's background includes significant experience in autonomous driving and AI, having joined Xiaopeng in 2021 and rapidly advancing to leadership roles [15][18]. - Other notable team members include Chen Jie, an expert in reinforcement learning, and Ge Yixiao, the founding director of the intelligent mimicry department, both of whom bring substantial academic and industry experience to the team [44][51]. Group 2: Development of the IRON Robot - The design of IRON is inspired by human anatomy, particularly its spine and muscle structure, which contributes to its advanced movement capabilities [10][12]. - The robot's development faced challenges, including a significant internal debate on whether to pursue humanoid robotics, which was ultimately resolved in favor of this direction due to the rise of AI technologies [85][88]. - The team has grown from a peak of 300 members to over 200, indicating a recovery and renewed focus on humanoid robotics after initial setbacks [98]. Group 3: Strategic Direction of Xiaopeng Motors - Xiaopeng Motors aims to establish humanoid robots as a third growth curve alongside smart cars and flying vehicles, reflecting a strategic pivot towards embodied intelligence [99]. - The company has accumulated significant financial resources, with nearly 50 billion RMB available for research and development, facilitating its ambitious projects in robotics [46]. - The article draws parallels between Xiaopeng Motors and Tesla, suggesting that Xiaopeng is positioning itself similarly in the robotics market as it did in the automotive sector [101][110].

Core Viewpoint - The Hong Kong stock market is experiencing a strong rebound in the innovative drug sector, following a significant surge in Xpeng's stock, with the launch of the Hong Kong Technology ETF Tianhong (159128) that focuses on AI, smart vehicles, and innovative drugs [1] Group 1: ETF Launch and Composition - The Hong Kong Technology ETF Tianhong (159128) tracks the Guozheng Hong Kong Stock Connect Technology Index, which focuses on the top 30 core technology assets in Hong Kong [1] - The top ten constituent stocks of the index account for over 75% of its total weight, with a focus on cutting-edge fields such as AI, smart vehicles, and innovative drugs [1] - Compared to the Hang Seng Technology Index, the Guozheng Hong Kong Stock Connect Technology Index has a higher allocation to innovative drugs, and compared to the Hong Kong Internet Index, it has a higher allocation to smart vehicles and biomedicine [1] Group 2: Performance Metrics - As of November 11, the Guozheng Hong Kong Stock Connect Technology Index has increased by 44.83% year-to-date, outperforming the Hong Kong Internet Index and Hang Seng Technology Index, which rose by 39.34% and 32.59% respectively [1] - The annualized return since 2020 for the Guozheng Hong Kong Stock Connect Technology Index is 11.7%, also exceeding the returns of the Hang Seng Technology and Hong Kong Internet indices [1] Group 3: Market Dynamics - The fundamentals of Hong Kong technology giants are showing resilience and recovery momentum, with increasing AI penetration and a recovering domestic economy expected to drive quarterly earnings growth for constituent stocks [1] - There has been a continuous inflow of southbound funds, with a net inflow exceeding 50 billion HKD this year, marking a historical high [1] - The recent weak ADP data has increased the probability of a Federal Reserve rate cut in December, which may further influence market dynamics [1] Group 4: Valuation Metrics - As of November 11, the PE valuation of the Guozheng Hong Kong Stock Connect Technology Index is at the 36th percentile of the past five years, indicating a high safety margin and significant investment value [2] - The Hong Kong Technology ETF Tianhong (159128) has substantial elastic space, with all constituent stocks being eligible for the Shanghai-Hong Kong Stock Connect, thus not subject to QDII quota restrictions and allowing T+0 trading [2]

Core Insights - The core argument of the article emphasizes that electric vehicles (EVs) must evolve beyond mere electrification to incorporate intelligent driving as a fundamental differentiator from traditional vehicles [2][4][6]. Group 1: Company Strategy and Developments - He Xiaopeng, the founder of XPeng Motors, has consistently viewed intelligent driving as the "core battlefield" for the automotive industry, leading the company to invest heavily in smart driving technology [2][4]. - XPeng Motors has transitioned from XPILOT 1.0 to the VLA (Vision-Language-Action) model, marking a significant evolution in its intelligent driving capabilities [2][4]. - Recent leadership changes, including the appointment of Liu Xianming as the head of intelligent driving, reflect the company's response to market challenges and user feedback regarding the performance of its latest smart driving software [2][3][4]. Group 2: Technological Innovations - XPeng has focused on two technological routes in its smart driving research, ultimately deciding to concentrate on the VLA model after observing its superior learning and decision-making capabilities [4][6]. - The second-generation VLA model aims to eliminate the language processing step, which has been identified as a bottleneck, thereby enhancing the system's efficiency and reducing information loss [21][22][35]. - The company has amassed a vast dataset for training its models, reportedly using nearly 100 million clips of video data, which is equivalent to the driving experiences accumulated over 35,000 years [20][28]. Group 3: Competitive Landscape - XPeng faces increasing competition from companies like Li Auto and Huawei, which are also advancing their intelligent driving technologies and challenging XPeng's VLA approach [3][16]. - The competitive pressure highlights the challenges of managing the extensive data and computational requirements associated with the VLA model, particularly in long-tail scenarios [16][17]. - Industry experts have critiqued the VLA model for its complexity and potential inefficiencies, suggesting that the reliance on language processing may hinder real-time decision-making capabilities [17][18]. Group 4: Future Directions - XPeng's vision extends beyond traditional vehicles to include applications in Robotaxi, humanoid robots, and flying cars, aiming to establish a "physical AI" empire [6][19]. - The company is committed to overcoming the challenges of integrating AI into real-world applications, emphasizing the need for AI to handle the uncertainties of the physical world [6][19][35]. - The ongoing development of the second-generation VLA model is seen as a critical step towards achieving breakthroughs in autonomous driving capabilities, with expectations for significant advancements in the near future [33][34].

12日，"AI才女"、前DeepSeek研究员罗福莉宣布加入小米公司。她在朋友圈发文："智能终将从语言迈向物理世界。我正在Xiaomi MiMo，和一群 富有创造力、才华横溢且真诚热爱的研究员，致力于构建这样的未来，全力奔赴我们心目中的AGI。" 据悉，Xiaomi MiMo是小米首个推理大模型。罗福莉正式宣布加入小米亦是对此前传言的回应。 去年年末，雷军在直播时说，希望用千万年薪挖角罗福莉，请她到小米带领团队从事AI大模型研究。 当时有消息称，小米公司正在积极搭建自己的GPU万卡集群，以加大对AI大模型的投入力度。小米大模型团队在成立之初就已拥有6500张GPU资 源，而此次搭建GPU万卡集群，将进一步提升小米在AI大模型领域的研发实力。据知情人士透露，该计划已经实施数月之久，雷军在其中扮演了 重要的领导角色。他对于AI硬件的重视程度极高，认为手机是AI硬件领域的核心，小米必须全力以赴。 不过，当时小米并未给出回应，罗福莉本人也未直接回应此事。 监制：王薇薇 审核：杜秀萍 编辑：陈婧琳 校对：李璐亚 在今年10月举行的2025智能网联汽车大会上，小米集团创始人、董事长雷军表示，AI大模型是智能网联汽车的未来 ...

Core Insights - Hangzhou Donghong Technology Co., Ltd. has partnered with Xperi Inc. to enhance the in-car entertainment experience for Chinese automakers entering overseas markets [1][2] - The collaboration aims to address the challenges faced by Chinese car manufacturers in accessing mainstream content services abroad, thereby improving the functionality of in-car entertainment systems [1][2] - The DTS AutoStage platform aggregates global content and supports various entertainment formats, providing a unified management system for in-car content [1][2] Group 1 - The partnership provides a global content aggregation platform for Chinese automakers, reducing the need for individual negotiations and adaptations for different markets [2] - Donghong Technology leverages its video enhancement technology to improve the display quality of in-car screens, offering a cinema-like audio-visual experience [2] - The 5D immersive smart cockpit developed by Donghong Technology enhances the in-car entertainment experience, providing realistic spatial audio effects [2][3] Group 2 - The first mass-produced vehicle equipped with DTS AutoStage, the Jishi ADAMAS, was showcased at the event, highlighting the successful collaboration between Donghong Technology and Xperi [3] - The integration of leading in-car entertainment solutions with development capabilities is crucial for supporting Chinese automakers in expanding their overseas presence [3] - The competition in the new energy vehicle market has shifted towards user experience, making in-car audio and video capabilities a core competitive advantage [3]

Core Viewpoint - The article emphasizes the importance of integrating intelligence into electric vehicles, highlighting that smart driving is the core battlefield for the future of the automotive industry, as articulated by He Xiaopeng, the founder of XPeng Motors [5][7]. Group 1: XPeng's Strategic Shift - XPeng Motors has transitioned to a new phase in its smart driving technology, appointing Liu Xianming, the head of the world foundation model, to lead its autonomous driving business, indicating a shift towards a large model-driven approach [5][7]. - The company has invested 2 billion yuan in developing its second-generation VLA (Vision-Language-Action) model, which aims to enhance the capabilities of its autonomous driving system by focusing on large-scale data and model training [7][24]. Group 2: Technological Innovations - The second-generation VLA model eliminates the language processing step, which previously acted as a bottleneck, allowing the system to learn directly from visual and action data, thereby improving efficiency and reducing latency [26][30]. - XPeng has collected nearly 100 million clips of video data for training, equating to the driving experience of 35,000 years, which is crucial for developing its autonomous driving capabilities [25][24]. Group 3: Competitive Landscape - XPeng faces increasing competition from companies like Li Auto and Huawei, which are also advancing their autonomous driving technologies, with Huawei's ADS 4.0 already deployed in over 1 million vehicles [6][20]. - The article discusses the challenges of the VLA model, particularly its high demands for multimodal data, computational power, and potential delays due to the language conversion process [20][21]. Group 4: Future Directions - XPeng aims to apply the new VLA paradigm to various applications, including Robotaxi, humanoid robots, and flying cars, as part of its vision for a "physical AI" empire [9][24]. - The company is committed to overcoming the uncertainties associated with its new approach, emphasizing the need for innovation and the willingness to abandon past successful experiences to explore new frontiers [40][41].

Core Viewpoint - Huawei Technologies Co., Ltd. has applied for the registration of the trademark "Qijie," which is currently in the substantive examination stage, indicating its ongoing expansion into the automotive sector [1] Group 1: Trademark Application - The "Qijie" trademark falls under International Class 12, covering products and services related to automobiles, including car doors, vehicles, hybrid cars, electric vehicles, and autonomous driving cars [1] - Huawei has previously applied for nearly 200 trademarks containing the character "Jie," indicating a strategic focus on building a brand matrix centered around this character [1] Group 2: Brand Strategy - The existing brand matrix under Huawei's HarmonyOS Intelligent Driving includes five brands: Wenjie, Zhijie, Xiangjie, Zunjie, and Shangjie, which cater to various market segments from mainstream to high-end and from family to personalized vehicles [1] - The application for the "Qijie" trademark is not aimed at launching a new brand outside the existing five brands but rather continues to enhance the brand portfolio [1]