郎咸朋还分享了公司CEO李想的观点，李想认为，未来五到十年，具身机器人核心将有两种形态：汽车 类的具身机器人、人形类的具身机器人。理想的VLA不仅服务于现在的理想各类汽车产品形态，也将 服务于未来的汽车类具身机器人。 凤凰网科技讯12月10日，理想自动驾驶负责人郎咸朋发布长文，回应了宇树科技创始人王兴兴对VLA 的一些担忧。在今年8月的2025年世界机器人大会上，王兴兴表示当下火热的VLA模型(视觉-语言-动作) 是"相对比较傻瓜式的架构"，并表示"保持比较怀疑的态度"。 郎咸朋表示，空谈架构不如看疗效。在自动驾驶领域，脱离了海量真实数据谈模型架构都是空中楼阁， 我们之所以坚持VLA，是因为我们拥有数百万辆车构建的数据闭环，这让我们能在当前算力下，把驾 驶水平做到接近人类。 郎咸朋认为，经过两个月多的"实践出真知"后，VLA就是自动驾驶最好的模型方案，具身智能最终拼的 是整体的系统能力。 ...

每经记者｜曾子建 每经编辑｜袁东 昨天，理想汽车-W（HK02015）股价回落2.8%，今天（12月10日）盘中继续破位，跌幅不算太大，但股价却已经创出2022年11月末以来近三年的新低。 2023年8月，理想汽车股价最高涨到过185.50港元，创下历史纪录，但到今天盘中的66.5港元，累计最大跌幅高达64%。而从最近两年的走势看，去年理想跌 了36%，今年跌幅又超过了29%。 再横向对比一下，蔚来2022年到2024年连跌了三年，但今年涨了11%；小鹏今年表现最好，年内涨幅超过了60%。此外，小米汽车的母公司小米集团，今年 股价波动很大，前期也一直在跌，但今年累计涨幅也达到20%。 其实回想三年前，理想汽车是"蔚小理"造车新势力中风头最盛的公司，凭借其在增程式赛道上的强势表现，理想也成为最早开始盈利的新能源公司之一。但 是，为什么最近两年，理想的走势太不"理想"了？ 其实，摆在明面上的业务数据，足以解释股价的下跌。三季报显示，理想汽车虽然第三季度营收达274亿元，继续保持领先，但同比却下降了36.2%。更关 键的是，净利润由去年同期盈利28亿元转为亏损6.24亿元，这也是近三年首次出现季度亏损。至于亏损的原 ...

Investment Rating - The report does not explicitly provide an investment rating for the AI industry Core Insights - The AI industry is witnessing significant advancements, particularly in multimodal models, with SenseNova's NEO architecture being a notable development that enhances the integration of visual and language processing [15] - The upcoming 2025 Brain-Computer Interface Conference aims to promote practical applications and innovations in brain-computer interface technology [5] - Strategic collaborations, such as the partnership between UBTECH and ZhiSheng Technology to deploy 10,000 robots by 2031, indicate a strong focus on robotics and AI integration [7] - The acquisition of the AI search team by Xiaohongshu reflects a trend of companies consolidating AI capabilities to enhance their product offerings [8] Summary by Sections AI Industry Dynamics - The 2025 Brain-Computer Interface Conference will take place from December 4 to 5 in Shanghai, featuring competitions focused on practical applications of brain-computer interface technology [5] - The Ministry of Industry and Information Technology is preparing to establish the China Artificial Intelligence Terminal Industry Association, which aims to support high-quality development in the AI terminal industry [6] AI Application Insights - Li Auto has launched its first AI glasses, Livis, which weigh 36 grams and can operate for 18.8 hours, showcasing a crossover from smart vehicles to wearable technology [9] - Doubao has released a technical preview of its mobile assistant, integrating various functionalities to enhance user experience [10] - Ant Group's AI assistant has been upgraded to generate simple games in as little as 30 seconds, highlighting advancements in user-generated content [12] - Gaode Map has introduced an "AI Parking Radar" feature that provides real-time updates on parking availability, enhancing urban navigation [13] AI Large Model Insights - Doubao's voice recognition model 2.0 has improved its contextual understanding, achieving a 20% increase in keyword recall rate and supporting multiple languages [14] - SenseTime's NEO multimodal model architecture has been released and open-sourced, aiming for deeper integration of visual and language processing [15] - Alibaba's Qwen-Image model has been updated for better consistency in image generation and editing, now available on the Qianwen app [16] - DeepSeek has launched its V3.2 series models, narrowing the performance gap between open-source and commercial models [17] Technology Frontiers - Tencent has launched EdgeOne Pages, a full-stack edge development platform, facilitating rapid web project deployment [18] - The latest version of Improved MeanFlow by He Kaiming's team addresses key issues in training stability and efficiency, achieving significant performance improvements [20]

Industry Information - The 2025 Guangzhou Auto Show concluded with new energy vehicles (NEVs) surpassing 50% of total exhibits for the first time, with 629 out of 1,085 vehicles being NEVs, reflecting a significant growth in the sector [8][9] - A meeting on the standardization of power battery recycling was held in Ningde, emphasizing the importance of establishing a comprehensive standard system to support the high-quality development of the new energy industry [8] - A half-solid-state lithium battery energy storage project in Inner Mongolia has successfully connected to the grid, marking a milestone in the commercialization of half-solid-state storage technology [9] - CATL announced that 1,000 battery swap stations will be operational before the Spring Festival, enhancing the infrastructure for electric vehicles [9] - The Ministry of Industry and Information Technology encourages leading companies in solar, wind, lithium batteries, and NEVs to expand internationally [10] - In October, the total import and export value of automotive goods reached $25.31 billion, a year-on-year increase of 9.5% [12] - CATL's 587Ah battery cells have shipped 2GWh, with an expected total shipment of 3GWh for the year, indicating a successful entry into large-scale commercial production [12] - The first China-New Zealand dialogue on new energy vehicles was held, aiming to strengthen cooperation in the sector [12] - Huawei's automotive solutions saw a significant increase in sales, with over 180,000 units sold in November, marking an 80% month-on-month growth [13] - The user satisfaction index for China's NEV industry reached 80 points in 2025, showing steady improvement in quality and performance [14] Policy Information - Hebei Province has introduced new electricity pricing regulations, reducing charging costs by over 50% during off-peak hours [23] - The Guangdong province announced a total of 18.87 million yuan in subsidies for electric vehicle charging infrastructure in 2023, significantly higher than the previous year's funding [24] - A new plan in Hangzhou aims to achieve "full coverage of charging facilities" by 2030, enhancing the infrastructure for electric vehicles [25][26] - The National Development and Reform Commission has released a list of eligible projects for infrastructure REITs, including charging facilities [28] - Jilin Province announced a total of 54.32 million yuan in subsidies for electric vehicle battery swap stations for 2024 [30] Company Information - SAIC Motor has extended its purchase tax subsidy for the new MG4 model until December 28, 2025 [41] - Lantu Motors reported over 20,000 vehicle deliveries in November, setting a new record [41] - Leap Motor achieved a record high of 70,327 vehicle deliveries in November, reflecting a 75% year-on-year increase [41] - Xiaomi's automotive deliveries exceeded 40,000 units in November, surpassing its annual target of 350,000 units [42]

Core Insights - The core viewpoint emphasizes that the key to successful autonomous driving lies in the integration of the VLA model with the entire embodied intelligence system, where data plays a crucial role in determining effectiveness [1][4]. Summary by Sections VLA Model - The VLA is fundamentally a generative model, utilizing a GPT-like approach for autonomous driving, generating trajectories and control signals instead of text. User feedback indicates that VLA exhibits emergent behaviors in certain scenarios, reflecting a growing understanding of the physical world [2]. - The world model is better suited for creating "test environments" rather than acting as "test subjects," due to its high computational demands. Ideal is currently leveraging cloud-based data generation and realistic simulation testing, utilizing several exaFLOPS of computational power for simulation tests, which cannot be matched by even the most powerful vehicle chips [2]. - Discussions about model architecture are less relevant than the actual performance outcomes. In autonomous driving, focusing on vast amounts of real data is essential, and Ideal's commitment to VLA is supported by a data loop created from millions of vehicles, enabling near-human driving levels with current computational resources [2]. Embodied Intelligence - To excel in autonomous driving, it is essential to treat it as a complete embodied intelligence system, where all components must work together during development to maximize value. Human drivers do not require extraordinary abilities; rather, coordination among various parts is crucial [3]. - The embodied intelligence system comprises perception (eyes), models (brain), operating systems (nervous system), chips (heart), and the body (vehicle). Full-stack self-research is necessary, encompassing both software and hardware. Ideal's autonomous driving team collaborates with foundational model, chip, and chassis teams to create a comprehensive autonomous driving system [3]. Data Utilization - The key to effective modeling is its compatibility with the entire embodied intelligence system, with data being the decisive factor. While data acquisition is challenging in robotics, it is not a significant issue for companies in the autonomous driving sector that have established data loops. Ideal can mine and filter from over 1 billion kilometers of accumulated data and continuously gather new data from 1.5 million vehicle owners [4]. - During data filtering, interesting patterns were observed, such as nearly 40% of human driving data showing a tendency to drive on one side and not strictly adhering to speed limits. This behavior aligns with typical human driving patterns, leading to the decision not to eliminate these data samples. The VLA model is expected to serve both current and future automotive forms of embodied robots [4].

第三，这几年，汽车行业轮番上演的价格战，成为利润率降低的直接推手 。从特斯拉打响第一枪，到比亚迪"电比油低"战略，再到众多新品牌为清库存或抢份额频繁促销，汽车 行业已陷入"不降价就出局"的囚徒困境。价格战的背后，是车企对市场份额的极度渴望。然而，这种短期的市场竞争手段，虽然在一定程度上刺激了销量增长，但却对整个行业 的利润水平造成了严重冲击。持续的价格下降使得车企的盈利空间不断压缩，许多企业面临着成本上升与售价下降的双重压力。一些实力较弱的车企甚至在价格战中陷入亏损困 境，行业整体进入了低利润状态。这是当前市场发展到一定阶段的必然结果，也是市场竞争激烈程度的直观体现。 一、汽车行业利润率创5年新低 据界面新闻的报道，乘联分会秘书长崔东树披露的数据显示，2025年10月份，汽车行业销售 利润率3.9% ，环比9月下降0.5个百分点，达到五年同期最低。2025年1-10月份，汽车 行业销售利润率4.4%，好于2024年，但仍处于五年来的次低位。 崔东树表示，各地大力度推动"两新"政策落地实施，有效释放内需活力，消费品以旧换新政策加力扩围效果明显，但汽车行业效益改善明显落后其它消费品。 从收入、成本等指标来看，1- ...

Core Viewpoint - The Chinese automotive industry is rapidly evolving, with companies like Li Auto facing significant challenges and emphasizing the need for innovation and cost management to remain competitive [4][6][14]. Group 1: Challenges Faced by Li Auto - Li Auto is currently dealing with five major challenges: evolving consumer demands, ongoing price competition, intensified geopolitical conflicts affecting supply continuity, market volatility, and accelerated application of new technologies leading to quality challenges [6][8]. - The company recognizes the need to shorten product iteration cycles significantly, which requires a substantial increase in innovation density [4][11]. - Price competition has led to a 4% decrease in the average transaction price of new energy vehicles in China, now at 170,000 yuan, with further reductions expected due to tax and subsidy changes [14][18]. Group 2: Strategies for Cost Management - Li Auto has made cost management a primary focus for all platform products, emphasizing that the success of platform products directly influences the overall success of vehicle products [19][21]. - The company aims to enhance product value while simultaneously managing costs, with a target for the product development team to achieve significant cost reductions [18][19]. - The strategy includes leveraging existing partnerships and focusing on both red ocean (traditional) and blue ocean (new technology) components to optimize supply chain efficiency [6][23]. Group 3: Supply Chain and Risk Management - Li Auto is addressing supply chain risks by diversifying resources and forming strategic partnerships to ensure supply continuity amid geopolitical tensions [25][28]. - The company has approximately 500 tier-1 partners and over 5,000 tier-2 and tier-3 suppliers, highlighting the complexity of managing supply chain risks [30][31]. - A focus on vertical integration is emphasized as a long-term strategy to enhance supply chain resilience and efficiency [24][33]. Group 4: Innovation and Product Development - Li Auto is implementing a collaborative innovation model, organizing teams by product categories to foster targeted innovation efforts [13][14]. - The company aims to achieve "zero defects" in quality, focusing on design and process reliability, and is investing in AI-driven quality monitoring systems [46][48]. - The need for rigorous testing and validation of new technologies is underscored, as the automotive industry faces increasing quality challenges due to the integration of electronics and software [43][46]. Group 5: Organizational Efficiency and Future Outlook - The company is exploring ways to enhance organizational efficiency through the integration of AI technologies, which are expected to significantly improve operational productivity [52][54]. - Li Auto's approach emphasizes collaboration and shared success with partners, aiming to navigate industry challenges collectively [54]. - The long-term vision includes a commitment to sustainability and carbon reduction, aligning with national energy goals [50].

特斯拉股价开盘猛拉，截至发稿涨超1%，消息面上，据21世纪经济报道，备受A股特斯拉产业链投资 者关注的特斯拉人形机器人团队中国"审厂"消息频传。业内人士称，"审厂"或为配合明年一季度特斯拉 Optimus Gen3机器人的发布进行量产准备。这意味着，特斯拉机器人产业链在不断地"送样"，"测试"近 两年后，或将迎来落地时刻。 | W | 特斯拉(TESLA) | | | | | --- | --- | --- | --- | --- | | | TSLA.O | | | | | 444.206 | 量 1204.2万 | 股本 33.26亿 市盈 | 291 | 万得 | | 1.05% 4.626 | 换 0.36% | 市值 14773亿 市净" | 18.47 | 盘口 | | 四十十五年 | EK | 周K | 目K 更多 | (0) | | 營加 | | 均价:440.824 | | | | 444 554 . | | | ------- 1.13% 卖- 444.210 | 75 | | | | | 买一 444.120 | 45 | | | | | 10:02 444.200 | 120 | | ...

| 贵金属 [스 | | | | --- | --- | --- | | 伦敦金现 | 伦敦银现 | COMEX黄金 | | 4203.300 | 59.130 | 4221.3 | | +12.900 +0.31% | +1.035 +1.78% | +3.6 +0.09% | | COMEX白银 | SHFE黄金 | SHFE自银 | | 59.270 | 955.00 | 13875 | | +0.865 +1.48% +1.08 +0.11% | | +243 +1.78% | 北京时间12月9日晚，美股指数涨跌不一，截至23:00左右，道指、标普500指数小幅上涨，纳指下跌。 | 道琼斯 | 纳斯达克 | 标普500 | | --- | --- | --- | | 47888.34 | 23512.79 | 6855.81 | | +149.02 +0.31% -33.11 -0.14% +9.30 +0.14% | | | | 中国金龙 纳指100期货 标普500期货 | | | | 7707.38 | 25616.50 | 6857.25 | | -130.37 -1.66% -47.50 -0 ...

记者丨刘雪莹 编辑丨曾静娇 北京时间12月9日晚，美股指数涨跌不一，截至23:00左右，道指、标普500指数小幅上涨，纳指下跌。 | 道琼斯 | 纳斯达克 | 标普500 | | --- | --- | --- | | 47888.34 | 23512.79 | 6855.81 | | +149.02 +0.31% -33.11 -0.14% +9.30 +0.14% | | | | 中国金龙 | 纳指100期货 | 标普500期货 | | 7707.38 = | 25616.50 | 6857.25 | | -130.37 -1.66% -47.50 -0.19% +1.50 +0.02% | | | 科技股多数下跌， 闪迪跌约4.5%，迈威尔科技跌近3%。美股科技七巨头涨跌不一，脸书跌1.5%领跌。 | 名称 | 现价 | 涨跌幅 ▲ | | --- | --- | --- | | ASTERA LABS | 165.650 | -5.74% | | NAVITAS SEMICONI | 9.100 | -5.21% | | CREDO TECHNOLO | 170.780 | -4.56% | | 闪迪 ...