Core Viewpoint - The article emphasizes the innovative capabilities of Li Auto's VLA (Vision Language Architecture) and its potential to significantly enhance autonomous driving technology through a combination of AI software and hardware integration, led by the company's founder, Li Xiang [2][3][4]. Group 1: Innovation and Technology - Li Auto's VLA represents a significant innovation at the MoE (Mixture of Experts) level, with a focus on original architecture and execution, drawing from contributions across the AI community [2]. - The integration of AI software with hardware has reached an industry-leading level, with a clear distinction between the rapid iteration capabilities of software and the slower evolution of hardware [3]. - The core of Li Auto's VLA is based on reinforcement learning, which allows for a more effective learning process compared to traditional imitation learning, enhancing the vehicle's decision-making capabilities [9][10]. Group 2: Leadership and Vision - Li Xiang plays a crucial role in the development of Li Auto's autonomous driving technology, similar to Elon Musk's influence at Tesla, ensuring the company remains adaptable to industry changes and resource allocation [4][5]. - The ability of Li Xiang to make key judgments regarding resource distribution and AI learning is vital for the company's long-term success and efficient resource utilization [4]. Group 3: Future Directions and Predictions - Key iterative directions for Li Auto's VLA include improving the speed, quality, and cost-effectiveness of simulation data, which is essential for reinforcement learning [8][12]. - The company aims to maximize the potential of existing vehicle hardware for autonomous driving while also exploring new chip technologies to enhance computational capabilities [13]. - Future advancements may involve online learning architectures that allow for real-time weight updates, significantly improving the model's adaptability and understanding of the physical world [13].

人工智能的浪潮正以前所未有的速度重塑全球产业格局，继电动化革命后，汽车行业正迎来由AI驱动的"智能化"二次跃迁。随着政策持续赋能，技术应用加 速落地，人工智能正深度渗透并影响汽车产业链各个环节，从制造端到应用端，智能驾驶的未来画卷正在徐徐展开。 自电动化时代以来，中国车企凭借对新技术的前瞻布局与应用创新，不断打破行业边界，重塑产业生态格局。当智驾时代渐行渐近，中国汽车产业能否再次 成为汇聚全球创新技术与产业资本的舞台？又能否为全球汽车产业智能化发展和商业模式的变革带来新的中国方案？ 以跟踪科创时代下产业升级新路径和资本市场新发展为目标，第一财经携手蔚来资本、璞跃中国以及陆家嘴传媒，共同打造了"科创未来行：中国汽车创新 向未来"主题沙龙。活动将于8月20日在合肥隆重启幕，以"智行·聚变"为主题，聚焦AI技术驱动下的汽车产业革新与生态重构，诚邀各界"科创同行者"共赴 此次智驾之旅，一起探索智能驾驶、新能源汽车与汽车产业未来创新之路。 活动信息 地点：合肥新桥智能电动汽车产业园区 时间：2025 年 8 月 20 日 9:00-12:00 议程安排 9:30开场：主持人开场 9:30 - 9:45：主题演讲（一） ...

凤凰网科技讯 8月8日，工信部发布第398批《道路机动车辆生产企业及产品公告》新产品公示，查询发 现，鸿蒙智行全新问界M7出现在公示中。 申报信息显示，全新问界M7汽车增程/纯电动力同步上新，尺寸为5080 ×1999×1780mm、轴距 3030mm，可选有车顶无激光雷达版本。新车的增程可选单双电机和电池类型，纯电版目前仅申报了双 电机版（前160kW/后227kW的驱动电机）。 申报图片显示，全新问界M7汽车将提供蓝、黑、绿三种车色，提供21英寸运动轮毂、电动踏板等选 装。 ...

Core Viewpoint - The Supreme People's Court of China has proposed to draft judicial protection guidelines for data property rights, which is expected to provide regulatory guidance for data rights in the smart automotive industry and ensure the legal application of automotive data [3][8]. Group 1: Data Challenges in Smart Automotive - The rapid development of smart vehicles has led to confusion regarding data property rights and management, making it difficult for consumers to access complete and accurate data when issues arise [4][5]. - Current regulations lack clarity in defining data ownership, particularly for non-personal data such as vehicle operational data and road traffic data, which hampers the effective use of data by automotive companies [5][6]. - The complexity of data collected from smart vehicles includes various types such as vehicle operation data, user driving behavior data, and environmental data, creating a complicated data ecosystem [4]. Group 2: Balancing Data Rights and Public Interest - The potential misuse of geographic and traffic data collected by smart vehicles poses risks to public interest and social safety, highlighting the need for a balanced approach to data sharing [6][7]. - Data sharing is crucial for advancing autonomous driving technology, but the lack of clear data ownership and profit-sharing mechanisms has led to "data islands," hindering collaborative innovation [6][7]. - Consumers often lack awareness of what personal data is collected and how it is used, raising concerns about privacy when their driving behavior data is used for commercial purposes without prior consent [6]. Group 3: Future Directions for Data Governance - The proposed judicial protection guidelines are anticipated to clarify data rights and protections, potentially referencing the "Twenty Data Rules" to establish a framework for data resource ownership and usage rights [8][9]. - The guidelines may allow automotive companies to legally utilize anonymized raw data collected from vehicles for training autonomous driving models, thereby enhancing decision-making capabilities and safety [8][9]. - The judicial guidelines aim to address the definition and protection of smart automotive data, activate data elements, and create a balanced mechanism between development and safety, supporting the construction of a regulatory framework for the smart automotive industry [10].

Core Viewpoint - The Hong Kong stock market has shown strong growth in 2023, with the Hang Seng Index increasing by 20% as of June 30, driven by the return of overseas capital and increased investment from mainland China [1] Group 1: Market Overview - The Hong Kong market is expected to undergo asset revaluation, particularly benefiting the technology sector, which is considered a core asset [1] - The launch of the FTSE China A50 Technology ETF by Franklin Templeton aims to provide investors with an efficient tool to invest in the Hong Kong technology sector [1] Group 2: Index Composition and Performance - The CSI Hong Kong Stock Connect Technology Index, which the ETF tracks, includes 50 large-cap technology leaders with high R&D investment and revenue growth [1] - As of June 30, 2025, the index's constituents primarily cover emerging technology sectors such as automotive, electronics, media, pharmaceuticals, and computers, accounting for 81.2% of the index [2] Group 3: Financial Performance - The internet and automotive sectors within the Hong Kong stock market have shown a revenue growth rate exceeding 10% year-on-year, indicating strong profitability [2] - The technology sector demonstrates significant long-term growth potential, supported by high R&D investment, which has consistently exceeded 7% of revenue over the past three years [2] Group 4: Valuation and Investment Opportunities - The Hong Kong Stock Connect Technology Index is currently undervalued, with a PE ratio of 21.46, placing it in the 4.98% percentile over the past five years, suggesting substantial room for valuation recovery [3] - The anticipated easing of valuation pressures due to improving global liquidity and expectations of economic recovery in China may accelerate the valuation recovery process for the technology sector [3]

Group 1 - The 2025 World Intelligent Vehicle Conference will showcase disruptive technological innovations in the smart vehicle sector, focusing on near-complete autonomous driving solutions, immersive smart cockpit experiences, and integrated vehicle-road-cloud ecosystems [1] Group 2 - The conference will highlight breakthroughs in high-level autonomous driving technology, with several automakers presenting near Level 5 fully autonomous driving solutions using multi-sensor fusion for real-time centimeter-level 3D environment modeling [2] - A new AI decision-making system based on deep reinforcement learning will be demonstrated, capable of handling complex scenarios such as predicting pedestrian intentions at unregulated intersections and utilizing vehicle-road collaboration to identify obscured traffic signals in adverse weather [2] - "Swarm intelligence" technology will be showcased, allowing multiple autonomous vehicles to coordinate and improve road traffic efficiency by over 30% [2] Group 3 - The smart cockpit is undergoing a revolutionary transformation with features like flexible rollable screens extending across the windshield, AR-HUD integrating navigation with real-world conditions, and holographic interactive assistants using light field technology for gesture and gaze recognition [3] - Emotional engines utilizing biosensors will monitor driver and passenger heart rates and expressions to automatically adjust ambient lighting, scents, and seating positions [3] Group 4 - The theme of "vehicle-road-cloud integration" will present a vision of future transportation, where vehicles communicate in real-time with traffic signals and roadside units using 5G-V2X technology [3] - The conference will introduce a "cloud-based digital twin" system, where each vehicle has a mirrored model in the cloud, allowing AI to predict and manage urban traffic flow based on real-time data from millions of vehicles [3] - The 2025 World Intelligent Vehicle Conference signifies a new era of safer, more efficient, and user-friendly transportation, celebrating technological advancements and human mobility [3]

Core Insights - A significant integration is underway in China's intelligent driving sector, led by Geely Group, which involves the consolidation of three core teams into a new entity called Chongqing Qianli Intelligent Driving Technology Co., Ltd. [1][4] Integration Details - The integration involves approximately 3,000 R&D personnel from the Zeekr Intelligent Driving team, Geely Research Institute's relevant teams, and Maiqi Technology [1] - Geely confirmed that the specific integration plan and brands involved are still under discussion [2] - The new team structure is being rapidly established, with reports suggesting that around 1,500 members of the Zeekr team will transition without interviews, while about 100 from the Smart team will undergo a selection process [3] Strategic Objectives - The newly formed Qianli Intelligent Driving will operate as an independent company and aims to become a core partner in Geely's AI ecosystem, providing leading auxiliary driving solutions across the industry [4] - Geely's strategic focus is on consolidating resources to create a comprehensive end-to-end auxiliary driving capability [4][9] Historical Context - The integration aligns with Geely's earlier strategic shift announced in September 2024, moving from strategic expansion to integration to reduce redundant investments [9] - The establishment of Qianli Intelligent Driving was facilitated by a joint venture involving Qianli Technology, Geely, and Megvii Technology, which laid the groundwork for this resource consolidation [4][5] Leadership and Expertise - Wang Jun, former president of Huawei's Intelligent Automotive Solutions BU, has been appointed as co-president of Qianli Technology, playing a crucial role in unifying the three teams [6] - The collaboration between Wang Jun and Qianli Technology's chairman, Yin Qi, is expected to leverage their combined expertise in AI and automotive technology [7] Performance Metrics - Post-integration, Geely's intelligent driving system is projected to achieve a total computing power of 23.5 EFLOPS, with training data volume increasing from 1 billion to 3 billion [8] - The sales performance of Geely's Galaxy series vehicles, equipped with the unified Qianli Haohan intelligent driving system, saw a remarkable increase of 232% year-on-year, reaching 548,000 units in the first half of 2025 [10] Future Aspirations - Geely has set an ambitious target to exceed annual vehicle sales of 5 million units by 2027, narrowing the sales gap with industry leader BYD to 210,000 units in the first half of 2025 [10]

Core Viewpoint - The article discusses the development and vision of the Li Auto Star Ring OS, emphasizing its role in the evolution from smart vehicles to space robots, and the importance of open-source collaboration in achieving technological advancements in the automotive industry [1][3]. Group 1: Background of Li Auto Star Ring OS - The Star Ring OS was announced as an open-source project on March 27, 2024, and has since undergone two significant version releases, gaining industry recognition [1]. - Smart vehicles are seen as the initial successful commercial application of space robots, serving as a critical step towards achieving general-purpose space robots [5][6]. Group 2: Trends in Space Robot Technology Development - The ultimate goal is to develop general-purpose space robots, with the feasibility proven by the success of smart vehicles and breakthroughs in core technologies like VLA (Vision-Language-Action Models) [7][9]. - Key trends include the pursuit of extreme hardware-software collaboration, centralized and efficient utilization of computing resources, system security as a foundational prerequisite, and embracing open-source for efficient co-construction [11][12]. Group 3: Issues with Classic Automotive Software Solutions - The classic automotive software architecture, which emerged in 2000, has led to an explosion in the number of electronic control units (ECUs), resulting in integration difficulties and poor reusability [15][18]. - The limitations of the classic approach include a modular design that creates information silos and a collaborative model that is open yet not fully open-source, hindering innovation and efficiency [18][20]. Group 4: Open Source Solutions - The Star Ring OS is designed as a cohesive system with four core components: AI computing system, intelligent real-time system, communication middleware, and information security system [25][26]. - The OS aims to provide a unified, collaborative, flexible, and secure digital foundation for space robots, addressing the identified contradictions in the development process [29][30]. Group 5: Open Source Ecosystem Construction - The open-source ecosystem aims to build a unified, open, and general intelligent system foundation for the space robot era, promoting industry collaboration and reducing costs [36][39]. - Achievements include significant cost savings, reduced development cycles, and enhanced performance, with the platform enabling efficient coordination and flexible deployment of vehicle control systems [40][41]. Group 6: Future Work Focus - Future efforts will concentrate on community building, expanding ecosystem partnerships, and enhancing industry influence, with a clear path towards open governance and robust technology development [44][48]. - The next steps include supporting new chip platforms, enhancing core capabilities, and providing efficient community development facilities [49][50].

Group 1 - The core point of the news is that Leapmotor is in talks with Huawei for potential collaboration, focusing on smart driving solutions, vehicle ecosystem, or supply chain technology [2] - Leapmotor has achieved significant sales growth, becoming the top-selling new car manufacturer in China, with July deliveries reaching a record high of 50,129 units, a year-on-year increase of over 126% [2] - The collaboration with Huawei could enhance Leapmotor's brand value, particularly in key technology areas such as smart cockpit and autonomous driving [2] Group 2 - Leapmotor adheres to a "fully self-research" strategy, with its smart driving system, Leapmotor Pilot, utilizing a "pure vision + millimeter-wave radar" perception solution, emphasizing cost-effectiveness by avoiding high-cost lidar [3] - The Leapmotor Pilot system has reached version 3.0, featuring core functions such as ACC, LCC, ALC, APA, highway NOA, and city NAC, with some models offering optional lidar [3] - Leapmotor's smart driving features primarily address existing issues but still lag behind leading manufacturers like Huawei, as it heavily relies on high-precision maps and cannot achieve map-free autonomous driving [3]

Group 1 - Xiaomi's recent success with the Yu7 model, achieving over 200,000 units sold in just three minutes, solidifies its leadership in the 3C product sector and positions it strategically in the new energy vehicle market [1] - The trend of integrating full-category layouts with deep technological innovation is not unique to Xiaomi but is a common strategy among industry leaders [1][3] - Haier has transformed from a traditional appliance manufacturer to a builder of a "smart home" ecosystem, while Huawei has expanded from communication equipment to consumer electronics and smart vehicles, showcasing a similar multi-category approach [3] Group 2 - Jomoo has signed a strategic cooperation agreement with Haier to enhance their smart home business, aiming to create a fully interconnected smart home ecosystem that aligns with national strategies [3] - During the 618 shopping festival, Jomoo achieved significant sales, leading the market in smart toilet sales with a market share far exceeding its closest competitors [4] - Jomoo's comprehensive product strategy includes not only smart toilets and sanitary ceramics but also extends to showerheads, bathroom cabinets, and hardware, meeting consumer demand for one-stop solutions [5] Group 3 - The concept of economies of scope suggests that companies producing multiple related products can achieve lower unit costs, which is reshaping competitive dynamics across industries [6] - Jomoo's strategy aligns with this theory, leveraging its technological advancements across its entire product line to create a multiplier effect in competition [7] - Jomoo's early entry into the smart toilet market and its extensive patent portfolio have positioned it as a leader in the industry, with over 20,000 patents by the end of 2023 [7][10] Group 4 - Jomoo's innovative technologies, such as the "full waterway sterilization" system and ultra-quiet toilet designs, have set new industry standards and enhanced its competitive edge [10][19] - The company has initiated a project with the Gates Foundation to develop a waterless toilet, addressing global sanitation challenges and showcasing its technological prowess [19] - Jomoo's commitment to R&D, investing over 10% of its sales annually, has resulted in significant advancements in cleaning technology and health monitoring capabilities [15][19] Group 5 - The shift towards digitalization and globalization is driving transformation in the bathroom industry, with Jomoo leading the charge through smart manufacturing and global market expansion [21][27] - Jomoo's smart factory utilizes 5G technology and automation to enhance production efficiency and sustainability, setting industry benchmarks [21][26] - The company's AI-driven product innovations, such as the AI BATH solution, are redefining user experiences in the bathroom sector [25] Group 6 - Jomoo's brand value has reached 181.286 billion yuan, reflecting its growing market position and the increasing recognition of Chinese brands on the global stage [28] - The company's multi-category strategy, technological leadership, and commitment to digitalization and globalization are reshaping the competitive landscape of the bathroom industry [28]