育场景的深度融合。图为学生在实训基地学习了解自动驾驶赛车。中新社记者 张祥毅 摄 11月28日，"AI 驭见未来——怡海教育&加州伯克利大学机器人自动驾驶大赛ROAR实训基地"揭牌仪式 在北京市丰台区怡海中学举行。据了解，该实训基地将AI教育引入到K12阶段，实现自动驾驶赛事与教 育场景的深度融合。图为学生在实训基地演示其自编算法的自动驾驶赛车。中新社记者 张祥毅 摄 来源：中国新闻网 11月28日，"AI 驭见未来——怡海教育&加州伯克利大学机器人自动驾驶大赛ROAR实训基地"揭牌仪式 在北京市丰台区怡海中学举行。据了解，该实训基地将AI教育引入到K12阶段，实现自动驾驶赛事与教 育场景的深度融合。图为学生在实训基地学习了解自动驾驶赛车。 中新社记者 张祥毅 摄 11月28日，"AI 驭见未来——怡海教育&加州伯克利大学机器人自动驾驶大赛ROAR实训基地"揭牌仪式 在北京市丰台区怡海中学举行。据了解，该实训基地将AI教育引入到K12阶段，实现自动驾驶赛事与教 11月28日，"AI 驭见未来——怡海教育&加州伯克利大学机器人自动驾驶大赛ROAR实训基地"揭牌仪式 在北京市丰台区怡海中学举行。据了解，该实训基地 ...

标准化品质出行服务，科技赋能生态重塑 智通财经APP获悉，国盛证券发布研报称，首次覆盖，给予曹操出行(02643)"买入"评级。公司是国内头 部的科技出行平台，深度融合吉利控股集团生态，借定制车协同优势及聚合平台流量优势实现高质量扩 张，科技赋能提质增效，网约车GTV位列行业第二。战略布局自动驾驶业务，是全球稀缺的同时满足 智能定制车、智能驾驶技术及智能运营"三要素的科技出行平台，看好公司长期发展空间。 国盛证券主要观点如下： 中国共享出行领军企业，产业链协同优势显著 曹操出行创立于2015年，是由吉利集团孵化的中国网约车平台，按2024年GTV计算，公司是中国第二 大网约车平台。通过定制车队加强品牌形象，采用与运力伙伴合作的方式快速拓展市场，投资自动驾驶 积极布局下一代出行服务。控股股东在汽车制造、新能源科技、车联网、智能驾驶等领域的全面产业链 布局，与公司的业务发展形成了强大的协同效应，提供了独特的生态优势。1H25公司收入94.56亿元， 同比增长53.50%;毛利率稳步提升，费用持续摊薄;各项经营指标显著提升，网络效应强化。 共享出行赛道空间广阔，格局清晰 出行作为社会运转的基础需求，刚性特征显著，2 ...

Core Viewpoint - Company is positioned as a leading technology-driven ride-hailing platform in China, leveraging its integration with Geely Holding Group to achieve high-quality expansion and strategic development in autonomous driving [1][4] Group 1: Company Overview - Caocao Travel, founded in 2015 and incubated by Geely Group, is the second-largest ride-hailing platform in China based on projected GTV for 2024 [1] - The company reported revenue of 9.456 billion yuan in the first half of 2025, reflecting a year-on-year growth of 53.5%, with a steady increase in gross margin and improved operational metrics [1] Group 2: Market Potential - The Chinese ride-hailing market is projected to reach 8 trillion yuan by 2024, with the shared mobility segment expected to grow from 344.4 billion yuan in 2024 to 800 billion yuan by 2029, at a CAGR of 17% [2] - The competitive landscape is characterized by a dominant player and several strong competitors, with a high concentration in regional markets [2] Group 3: Service and Technology - The company is enhancing its brand image and driver loyalty through standardized ride services and is actively piloting autonomous taxi services in cities like Suzhou and Hangzhou [3] - Four core competitive advantages identified include ecological integration, standardized supply and economic optimization, differentiated brand perception, and technology-driven operational innovation [3] Group 4: Autonomous Driving Market - The global market for autonomous ride-hailing services is expected to reach 359.6 billion dollars by 2035, with favorable conditions for commercialization driven by technological advancements and policy support [4] - The company's collaboration with its parent group is anticipated to create significant competitive barriers and enable it to capitalize on market opportunities [4]

天眼查App显示，11月27日，辰致汽车科技集团有限公司发生工商变更，原股东中国兵器装备集团有限 公司退出，新增中国长安汽车集团有限公司全资持股，赵非卸任法定代表人、董事长，由陈伟接任，同 时多位高管发生变更。辰致汽车科技集团有限公司成立于2005年12月，经营范围含汽车、摩托车、汽车 摩托车发动机、汽车摩托车零部件设计、开发、制造、销售等。 12月1日，乘联分会秘书长崔东树发文表示，2025年10月的世界汽车销量达到864万台，同比增4%，环 比9月增1%。2025年1-10月世界汽车销量7925万台，同比增长6%。中国汽车的世界份额不断提升，10月 中国的世界份额回升到38%的较好水平，较去年提升1个百分点。2024年中国达到世界汽车的34.2%的份 额；2025年1-10月中国达到世界汽车的34.9%的份额，10月份额高于年度份额3个百分点。 12月1日，据中国一汽消息，2025年11月，中国一汽销售整车30.6万辆，生产整车31.2万辆。其中，自主 品牌销量8.5万辆，自主新能源汽车销量3.55万辆，合资品牌销量22万辆。1-11月累计销售299.5万辆， 同比增长4.8%。 12月1日，一汽-大众发 ...

Group 1 - The core challenge in autonomous driving is not just perception but understanding the reasoning behind actions taken by the model [1] - Traditional end-to-end systems struggle with rare but critical scenarios, leading to potential accidents [1][2] - NVIDIA's Alpamayo-R1 introduces a reasoning capability that allows vehicles to infer causal relationships before making decisions [1][6] Group 2 - Alpamayo-R1 features a new dataset called Chain of Causation (CoC), which includes not only actions taken but also the reasons for those actions [2][3] - The model employs a diffusion-based trajectory decoder to generate feasible driving trajectories under real-time constraints [5] - A multi-stage training strategy is utilized, starting with basic mapping from vision to action, followed by supervised fine-tuning on CoC data, and concluding with reinforcement learning for optimization [6][15] Group 3 - The performance of Alpamayo-R1 shows significant improvements, particularly in long-tail scenarios where traditional models often fail [6][20] - The model's input consists of multi-camera and temporal observations, allowing for integrated multi-modal semantic understanding [8] - The CoC dataset employs a human-machine collaborative annotation mechanism, resulting in improved planning accuracy and reduced error rates [10][11] Group 4 - The training process of Alpamayo-R1 is divided into three phases: supervised fine-tuning, CoC supervision, and reinforcement learning-based post-training optimization [15][17] - The model incorporates a multi-dimensional reward mechanism to enhance reasoning accuracy and action consistency [17] - The design of AR1 represents a shift from "black box" to "white box" in autonomous driving, enabling the model to explain its decisions [19][20] Group 5 - The significance of Alpamayo-R1 lies not only in performance enhancement but also in establishing a closed loop between AI reasoning and physical actions [20][21] - The model aims to ensure safety and build trust in autonomous driving by providing explanations for its decisions [21]

Core Viewpoint - The article announces the launch of the "Black Warrior 001," a full-stack autonomous driving educational vehicle aimed at research and teaching, now available for pre-sale at a price of 36,999 yuan, with additional courses included for early buyers [1]. Group 1: Product Overview - The Black Warrior 001 is a lightweight solution developed by the Autonomous Driving Heart team, supporting various functionalities such as perception, positioning, fusion, navigation, and planning, built on an Ackermann chassis [2]. - The vehicle allows for secondary development and modification, with numerous installation positions and interfaces for adding sensors like cameras and millimeter-wave radars [3]. Group 2: Target Audience and Applications - The product is suitable for undergraduate learning progression, graduate research and thesis writing, job preparation for graduates, laboratory teaching tools, and training institutions [5]. Group 3: Performance Demonstrations - The vehicle has been tested in various environments, including indoor, outdoor, and parking garage scenarios, showcasing its capabilities in perception, positioning, fusion, navigation, and planning [6]. Group 4: Hardware Specifications - Key sensors include a Mid 360 3D LiDAR, a 2D LiDAR from Lidar, a depth camera from Orbbec with IMU, and a main control chip Nvidia Orin NX 16G [22]. - The vehicle weighs 30 kg, has a battery power of 50W, operates at 24V, and has a runtime of over 4 hours, with a maximum speed of 2 m/s [25][26]. Group 5: Software and Functionality - The software framework includes ROS, C++, and Python, supporting one-click startup and providing a development environment [28]. - The vehicle features various functionalities such as 2D and 3D SLAM, point cloud processing, vehicle navigation, and obstacle avoidance [29]. Group 6: After-Sales and Support - The company offers one year of after-sales support (excluding human damage), with free repairs for damages caused by operational errors or code modifications during the warranty period [51].

Core Viewpoint - Guangdong Dingtai High-Tech (301377) has submitted an application to list on the Hong Kong Stock Exchange, positioning itself as a leading global supplier of precision manufacturing solutions in the PCB industry, particularly as the largest supplier of drilling needles by sales volume [1][3]. Company Overview - Dingtai High-Tech integrates tools, materials, and equipment, focusing on high-end precision manufacturing to create maximum value for customers [1]. - The company has established production bases in Dongguan, Guangdong, and Nanyang, Henan, and has a production capacity of 15 million drilling needles per month at its overseas base in Thailand [5]. Product Portfolio - The product range includes precision tools, grinding and polishing materials, functional film materials, and intelligent CNC equipment, serving critical markets such as AI servers, robotics, semiconductors, low-orbit satellite communications, high-end equipment manufacturing, and smart vehicles [3]. Financial Performance - Revenue increased from RMB 1.191 billion in 2022 to RMB 1.295 billion in 2023, with a further projected increase to RMB 1.553 billion in 2024. For the first half of 2025, revenue is expected to reach RMB 893.658 million, reflecting a 27.0% growth from the same period in 2024 [8]. - Net profit for the years 2022, 2023, and 2024 is reported at RMB 222.655 million, RMB 219.485 million, and RMB 227.306 million, respectively [9]. R&D Investment - R&D expenditures for 2022, 2023, and 2024 were RMB 79.817 million, RMB 97.722 million, and RMB 109.597 million, representing approximately 6.7%, 7.5%, and 7.1% of total revenue for those years [10]. Industry Overview - The global PCB market is projected to grow from USD 62 billion in 2020 to USD 75 billion in 2024, with a compound annual growth rate (CAGR) of 4.9%. The market is expected to stabilize and grow at a CAGR of approximately 4.5% from 2024 to 2029, driven by advancements in AI, data centers, and new communication technologies [11][12]. Market Demand - The demand for PCBs is increasing in various sectors, including automotive electronics, consumer electronics, and semiconductors, with a notable growth in high-performance PCBs driven by the rise of AI and electric vehicles [19][20].

凤凰网科技讯 北京时间12月1日，据《商业内幕》报道，电影《大空头》原型人物迈克尔·伯里(Michael Burry)正在向全球科技巨头宣战。在怼完英伟达后，他现在又将矛头指向了埃隆·马斯克(Elon Musk)。 伯里还表示："顺带说一句，埃隆的拥趸们一开始全力押注电动汽车，直到竞争对手出现；随后又全力 押注自动驾驶，直到竞争对手出现；现在又全力押注机器人，直到竞争对手出现为止。" 这并不是伯里第一次把矛头对准特斯拉。2021年，这位投资者曾做空价值5.3亿美元的特斯拉股票，但 几个月后就平仓离场。伯里之后告诉CNBC，称这笔操作"只是一次交易"。 马斯克也已对特斯拉的批评者和做空者予以反击，并预测这家电动汽车制造商将成为全球市值最高的公 司。 上周日晚间，伯里在美版公众号Substack上发文称，特斯拉的"估值高得离谱"。此前，他披露了针对英 伟达和Palantir的做空。 截至发稿，特斯拉尚未就此置评。(作者/箫雨) "特斯拉的市值如今被离谱地高估了，而且这种状况已持续很长时间。"伯里表示。他预计马斯克价值1 万亿美元的薪酬方案将继续稀释该公司股票。 尽管特斯拉股价年初因马斯克入主美国政府效率部出现短暂 ...

出品 | 创业最前线 魏帅 西北寒风凛冽的矿区内，无人驾驶矿用卡车与传统重卡共同组成的编队，在漫天黄沙中并肩作业，这是目前全球规模最大的无人驾驶混合作业编队。 而远在2000公里外的香港港交所，这些无人驾驶"大家伙"的创造者希迪智驾，正进行第三次也是最为关键的上市搏击。 2024年11月、2025年5月以及2025年11月，这家由"大疆教父"李泽湘创立的自动驾驶公司三度向港交所递交上市申请。 与西北矿区壮观的作业场景形成鲜明对比的是其触目惊心的财务表现：2022至2024年三年累计亏损已超过11亿元。 创业八年，希迪智驾的团队也确实做到了行业翘楚：打造出了中国首个完全无人驾驶纯电矿卡车队，并实现全球最大规模混合编组作业。 文章开头的一幕，并非是特殊的场景，而是希迪智驾已经实践了的作业案例。 但硬科技不等于商业模式，任何技术都需要为场景和商业化服务。截至2025年6月30日，公司账面现金和现金等价物为1.86亿元，而近半年亏损就达4.55亿 元。按此"烧钱速度"，其现金储备仅能维持数月。 过去很长一段时间里，这家公司一直都在践行李泽湘的技术逻辑和系统构建模式，在技术突破上实现了领先，并且形成了"自动驾驶＋车路协 ...

人民财讯12月1日电，据上海发布，闵行区新闻办介绍，秉持"安全可控、稳步推进、先行示范"的原 则，闵行区系统推动自动驾驶测试道路开放，即将向社会解锁124条、约330公里测试路段，全力打造多 层次、多功能的智能出行新高地。 ...