好家伙，闷声干大事，说的就是Waymo。 自从这家自动驾驶公司今年4月公布25万周订单之后，外界眼看着其Robotaxi运营范围越扩越大，不由得对运营数据愈发关注，特别是还有声势浩大的特 斯拉正虎视眈眈。 偏偏Waymo硬是把数据捂得密不透风。 但Waymo大概万万没料到，藏了7个多月的数据，被自己的投资者先说漏了嘴—— 最新周服务单量较4月暴涨80%，平均下来每分钟就能完成45单。 并且最新车队数也没瞒住，2500辆Robotaxi，已经落地美国5城了。 Waymo最新周订单被曝 Waymo可能没想到，会被自己的投资者给"背刺"了。 最近，Waymo的投资者老虎环球基金，推出了一个新的风险投资基金项目——PIP 17，并且还向潜在的有限合伙人发出了信函。 信函的本意是为了增强基金的吸引力，所以老虎环球基金提到了上一期基金PIP 16的战绩，其中的最大持仓是OpenAI和Waymo，而这些持仓推动了基金 业绩的反弹。 提到Waymo时，老虎环球基金没忍住多宣传了两句，前者的最新Robotaxi周订单数据就此曝光。原话是： Waymo是自动驾驶领域的绝对领导者，其产品最近每周的出行量超过45万次，安全性是人类驾 ...

Core Viewpoint - The Robotaxi industry is transitioning from a "technology story" to a "business story," with 2025 marking a critical commercialization turning point [1][3]. Industry Overview - The Robotaxi sector is approaching a pivotal moment, evolving from single-vehicle intelligence validation to ecosystem competition [2]. - By 2025, significant advancements in the Robotaxi sector are expected, with a projected annual decrease in autonomous driving system costs of 10%-15% [3]. - The market for Robotaxis is anticipated to grow significantly, with Goldman Sachs predicting 1.9 million Robotaxis in operation in China by 2035, leading to a market size of $47 billion [3]. Company Strategy - Cao Cao Mobility has launched a "Ten Years, One Hundred Cities, One Hundred Billion" strategic goal, leveraging the Geely technology ecosystem to establish a unique three-in-one development model of "smart customized vehicles + smart driving technology + smart operations" [1][4]. - The company plans to introduce a customized Robotaxi model designed for L4 autonomous driving by the end of 2026, utilizing battery swapping technology [6]. Competitive Advantage - The three-in-one model creates a competitive moat for Cao Cao Mobility in the Robotaxi ecosystem, focusing on smart driving technology, customized vehicles, and operational systems [5][7]. - The "Green Intelligent Passage Island" enhances operational capabilities, serving as a hub for automated battery swapping, cleaning, and vehicle management, with plans for replication in other cities [7]. Implementation Plan - Cao Cao Mobility's "three-step" strategy includes: 1. Technical validation and small-scale testing; 2. Transitioning to unmanned operations; 3. Full-scale commercial operations with customized Robotaxi models [9]. - The company has initiated global expansion, signing a memorandum with the Abu Dhabi Investment Office to pilot autonomous driving and green travel technologies [10]. Investment Perspective - The value of Cao Cao Mobility's Robotaxi strategy lies in optimizing unit economics, with total cost of ownership (TCO) for customized vehicles reduced by 36.4% compared to typical electric vehicles [12][13]. - As the Robotaxi business progresses, the company's valuation may shift from a "mobility platform" to a "smart mobility technology company," reflecting its role in future smart city infrastructure [13][14].

Core Insights - The article introduces a new course on world models and autonomous driving, emphasizing the importance of understanding various algorithms and their applications in the industry [2][10]. Course Overview - The course is structured into six chapters, covering topics from the introduction of world models to practical applications in autonomous driving [5][10]. - Chapter one discusses the relationship between world models and end-to-end autonomous driving, including historical development and current applications [5]. - Chapter two focuses on foundational knowledge related to world models, including scene representation and key technologies like Transformer and BEV perception [6]. - Chapter three explores general world models, highlighting significant contributions from teams like Li Fei-Fei's Marble and DeepMind's Genie 3 [6][7]. - Chapter four delves into video generation algorithms, showcasing notable works such as Wayve's GAIA-1 & GAIA-2 and recent advancements in the field [7]. - Chapter five examines OCC generation models, discussing their potential for trajectory planning and end-to-end implementation [8]. - Chapter six provides insights into industry applications of world models, addressing common pain points and interview preparation for relevant positions [9]. Learning Outcomes - The course aims to equip participants with the skills to understand and implement world model algorithms, preparing them for roles in the autonomous driving sector [10][13]. - Participants are expected to achieve a level equivalent to one year of experience as a world model algorithm engineer upon completion [13]. Course Schedule - The course is set to begin on January 1, with a duration of approximately two and a half months, featuring offline video lectures and online Q&A sessions [14].

以下文章来源于自动驾驶数据挖掘 ，作者黑客与作家 自动驾驶数据挖掘 作者 | 逆光飞翔2020 编辑 | 自动驾驶之心 原文链接： https://zhuanlan.zhihu.com/p/1980048833590339263 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 导读 破解"端到端模型长尾故障"痛点！现有端到端自动驾驶模型受限于训练数据中的罕见安全关键场景（长尾问题），手动收集此类数据成本高、风险大。西湖大学+理 想汽车+天津大学联合提出 CorrectAD自校正智能体系统 ，实现四重突破： 实验验证：在nuScenes和内部挑战性数据集上，分别修复62.5%和49.8%的故障案例，碰撞率降低39%和27%，为自动驾驶模型的持续优化提供自动化、低成本解决方 案。 推荐理由 1 核心概念：关键定义与术语解析 1.1 当前痛点 1. 手工数据收集成本极高 长尾故障（Long-tail Failure，如低能见度碰撞、密集车流绕行失效）罕见且危险，手工收集标注 ...

Core Insights - The financing scale for domestic L4 autonomous driving is expected to exceed 30 billion RMB by 2025, marking a historical high and a growth of approximately 257% compared to 2023, which was around 8.4 billion RMB [2] - Logistics delivery and Robotaxi are identified as the two main tracks attracting significant funding, with leading companies and established scenarios receiving financial support [2] - The industry is entering a technical deep-water zone, necessitating more dedicated individuals to address the challenges and pain points [2] Key Directions - The main focus areas include but are not limited to: autonomous driving product management, 4D annotation/data loop, world models, VLA, autonomous driving large models, reinforcement learning, and end-to-end solutions [4] Recent Financing Activities - Zhaofu Intelligent raised 3 billion RMB in June, with investments from Hello Chuxing, Ant Group, and CATL - New Stone Unmanned Vehicles secured 600 million USD in October led by Leishi Capital from the UAE - Pony.ai went public on the Hong Kong Stock Exchange in November, raising approximately 7.7 billion HKD - WeRide also went public on the Hong Kong Stock Exchange in November, raising about 2.4 billion HKD - Didi Autonomous Driving completed a D round financing of 2 billion RMB in October to enhance AI R&D and promote L4 autonomous driving applications - Zhuoyue Technology received a strategic investment of 3.6 billion RMB from China FAW in November [7]

昨日，特斯拉 Robotaxi 的 App 在苹果 App Store 正式面向美国、日本、泰国、韩国、澳大利亚 8 个国家以及中国港澳台地区的所有 iOS 用户开放下载。 这或许意味着，特斯拉开始谋求美国之外的自动驾驶出 租车业务的发展扩张。 然而，与特斯拉这样的大厂不同，独立做 Robot axi 的小厂的状况，并不太好。 从表面来看，此次事件为各行业都可能存在的内耗式互撕，暴露了行业数据披露存在的模糊性、片面性的问题。但从深层来看，此次冲突根源是自动驾驶 行业，尤其是 Robotaxi 领域，关乎生存意义的集体焦虑。 01 从"故事"到"数据"的窘迫转型 细看以下几组数据，可以看出小马智行、文远知行的焦虑并非空穴来风。 就在一个月前的 11 月 6 日，国内两大头部自动驾驶公司 —— 小马智行与文远知行齐聚港交所。两家公司高管共同现身敲钟现场，一派其乐融融的景象。 不过彼时，两家公司刚刚结束了一场 " 酣畅淋漓 " 的 " 骂战 "。当时小马智行和文远知行刚相继通过港交所聆讯，这也是继去年年末双方在纳斯达克短兵 相接后，在资本市场又一次的兵戎相见。 小马智行上市前夜的路演材料成为了冲突的导火索，文远知行 ...

Core Viewpoint - The company reported significant revenue growth in Q3 2025, driven by its Robotaxi and Robotruck services, despite continuing net losses [1][2]. Financial Performance - In Q3 2025, the company achieved revenue of $25.44 million, representing a year-on-year increase of 72% and a quarter-on-quarter increase of 18.6% [1]. - The net profit for Q3 2025 was -$61.32 million, compared to -$41.89 million in Q3 2024 and -$53.10 million in Q2 2025 [1]. - Adjusted net profit (after adding back stock-based compensation) was -$54.72 million in Q3 2025, compared to -$41.21 million in Q3 2024 and -$45.89 million in Q2 2025 [1]. Business Segments - Robotaxi service revenue reached $6.70 million in Q3 2025, a year-on-year increase of 89.5%, with passenger fare revenue growing over 200% [1]. - Robotruck service revenue was $10.20 million, reflecting an 8.7% year-on-year growth, aided by a 70% reduction in BOM costs for the fourth-generation Robotruck [1]. - Revenue from licensing and applications surged to $8.60 million, a significant increase of 354.6%, driven by rising demand for autonomous driving domain controllers and unmanned delivery services [1]. Profitability Metrics - The company's gross margin improved to 18.4%, a year-on-year increase of 9.1 percentage points, while the net margin was -242.0%, improving by 42.8 percentage points year-on-year [1]. - The expense ratio was 292.2%, up 7.7 percentage points year-on-year but down 9.5 percentage points quarter-on-quarter [1]. Strategic Developments - The company is a global leader in the commercialization of autonomous driving, with 961 Robotaxi vehicles in operation, including 667 of the seventh-generation model, aiming to exceed 1,000 vehicles by year-end and 3,000 by the end of 2026 [1]. - The seventh-generation Robotaxi has achieved profitability on a per-vehicle basis at the city level [1]. - The company expanded its strategic partnerships, including a collaboration with Sunshine Travel for comprehensive cooperation in autonomous driving, and entered the Qatari market with Mowasalat [1]. - The company is also exploring new markets through partnerships with global ride-hailing platforms like Uber and Bolt [1]. Investment Outlook - The company maintains its profit forecast, projecting revenues of $80 million, $93 million, and $195 million for 2025-2027, with expected net losses of -$227 million, -$220 million, and -$195 million respectively [2]. - The company continues to hold an "outperform" rating, with optimism regarding its growth in the Robotaxi and Robotruck sectors [2].

Core Viewpoint - The exit of Haomo Zhixing from the autonomous driving industry symbolizes the drastic changes in the financing environment, reflecting the challenges faced by companies in the sector as capital enthusiasm wanes and a more cautious investment approach emerges [1][2][10]. Group 1: Industry Financing Trends - The autonomous driving sector experienced a significant decline in financing, dropping from 932 billion yuan in 2021 to 200 billion yuan in 2023, a decrease of 78% [1][4]. - The initial phase of the industry was characterized by a "golden era" of capital influx, where investors were eager to fund unproven technologies and business models [2][4]. - The shift in capital strategy has moved from a broad investment approach to a more focused one, concentrating on companies with mature technologies and clear profit potential [5][9]. Group 2: Company-Specific Challenges - Haomo Zhixing, once a prominent player with over 2 billion yuan in financing and a valuation exceeding 1 billion USD, faced severe financial pressure, securing only 300 million yuan in 2024, insufficient for ongoing R&D and expansion [1][6][9]. - The company struggled with high hardware costs of 8,000 yuan per unit, while the industry average had fallen below 4,000 yuan, leading to a loss of competitive edge [9]. - The inability to demonstrate tangible results and a clear path to profitability contributed to the company's exit from the market, highlighting the need for firms to prove their technology can generate actual revenue [9][10]. Group 3: Market Dynamics and Future Outlook - The financing environment has led to a widening gap between leading companies and smaller players, with a clear trend of "head companies thriving, mid-tier struggling, and tail-end companies being eliminated" [7][10]. - Leading firms are leveraging their established technologies and funding to expand market share, while smaller companies are forced to adapt by focusing on niche markets or forming partnerships with larger entities [7][10]. - Despite the current challenges, there remains potential for recovery through technological breakthroughs, policy support, and innovative business models that lower entry barriers for users [10].

Core Insights - The Southern Finance Forum 2025 Annual Conference emphasizes the theme "The Power of Consensus - Innovation Surges, China's Asset Revaluation" [1] - Standard Chartered Bank's CEO for the Greater Bay Area, Li Haiqiang, discusses the trends and challenges faced by Chinese enterprises going global, highlighting the importance of financial innovation in supporting these efforts [1][2] Group 1: Trends in Chinese Enterprises Going Global - Chinese enterprises are increasingly pursuing internationalization as a necessary path for large companies and a survival strategy for small and medium-sized enterprises [1] - The trend of Chinese companies going global has evolved from "going out" to "integrating in," indicating a deeper commitment to local markets [1] - The "new three items" have become significant forces in the global supply chain, with many Chinese companies emerging as industry leaders [1] Group 2: Financial Challenges and Innovations - Chinese enterprises face challenges in cross-border finance, including capital management, financing, supply chain coordination, currency settlement, and exchange rate risks [2] - Standard Chartered Bank has established a new economy business team to provide comprehensive services to support these enterprises since 2016, exemplified by its partnership with autonomous driving leader Pony.ai [2] - The bank has also innovated in cross-border RMB business to enhance the competitiveness of Chinese enterprises [2] Group 3: Technological Advancements and Support - Standard Chartered Bank is investing in technology-driven financial innovation, including artificial intelligence and digital assets, and is establishing an AI research center in Guangzhou [3] - The bank has formed strategic partnerships with leading Chinese tech companies to better support Chinese enterprises going global [3] - The Greater Bay Area is positioned as a vibrant cross-border financial ecosystem, leveraging its geographical advantages and technological strengths to provide efficient global financial support [3] Group 4: Role of Standard Chartered Bank - As an international bank with over 160 years of experience in the Greater Bay Area, Standard Chartered Bank aims to act as a "super connector" between the region and the world, facilitating cross-border financial innovation [4]

Group 1 - The company, Jiga Vision, has completed a new round of financing, raising 200 million yuan in Series A2 funding, led by Dashen Caizhi, with participation from several notable investors, bringing the total funding raised in the last three months to 500 million yuan [2] - The founder and CEO, Dr. Huang Guan, has a strong background in AI and robotics, having previously worked at leading research institutions and has been instrumental in the evolution of physical AI from its inception to industrial application [2][3] - Jiga Vision has introduced a new paradigm for artificial general intelligence (AGI) that emphasizes a "world model + action model + reinforcement learning" framework, indicating a shift towards general action models in the industry [3] Group 2 - The company has officially launched two core models for physical AGI: GigaBrain-0, an end-to-end decision control model, and GigaWorld-0, a high-quality world model, along with the Maker H01 robot platform [4] - GigaBrain-0 enhances 3D spatial perception and structured reasoning capabilities, significantly improving navigation accuracy and task execution in complex environments, outperforming current state-of-the-art methods in various benchmarks [5] - GigaWorld-0 generates high-fidelity, controllable, and diverse interactive data, achieving nearly 300% performance improvement in key generalization dimensions, making it a cost-effective solution in the current market [6] Group 3 - Maker H01 is designed for open environments in home, commercial, and light industrial applications, featuring a dual-arm and omnidirectional mobile chassis, capable of performing precise operations and complex tasks [6][7] - The integration of GigaBrain-0, GigaWorld-0, and Maker H01 accelerates the transition of embodied intelligence from the laboratory to scalable applications, marking a significant step towards a reliable and generalizable physical AGI era [7]