"当 AI 从屏幕里的算法，变成能帮你开门、载你通勤的'物理伙伴'，安全和智能哪个该优先？"11 月 5 日小鹏科技日的开场提问，把这场技术发布会从 "参数秀" 拉回了普通人的生活场景 —— 当天抛出的 L4 级 Robotaxi 量产计划、IRON 人形机器人，以及藏在背后的物理世界大模型，本质上都是在回答 一个问题：AI 如何安全地 "走进" 现实世界？ Robotaxi的三重底气：从"无图"到"无人"的豪赌 小鹏宣布在2026年试运营L4级Robotaxi，并非简单的商业预告，而是一次技术体系的亮剑。其底气源于三层架构： 双冗余的"生命线"：算力、转向、制动等六大核心系统的"双备份"，是它能取消安全员的物理基础。这如同为汽车装上两套心脏，在50纳秒内（比人类眨 眼快100万倍）完成故障切换，确保车辆在任何突发情况下仍能受控。 "无图"的智慧大脑：第二代VLA模型让AI摆脱了对高精地图的"拐杖依赖"。它不仅能理解北京胡同与上海弄堂的共通性，还能自适应不同国家的交通规 则，这意味着其决策基于对物理世界的泛化理解，而非死记硬背。 它配备了"室内AEB"防撞系统，能感知并规避家庭环境中的障碍。其背后的"大小脑组 ...

36氪「职场Bonus」（ID：ZhiChangHongLi） 《职场Bonus》获悉，专研AI网络和自动驾驶的科技企业「蘑菇车联」2025秋季招聘正在进行中。此次招聘主要面向2025届及2026届应届生，在北京、上 海两地开放多类岗位。 本次招聘核心覆盖技术产品研发方向，包括AI算法研发、大模型部署、AI产品、感知融合、仿真系统研发等；同时也涉及战略分析、市场营销、人力、 财务等领域岗位，旨在吸纳兼具技术敏感度与商业思维的跨领域复合型人才。 公开信息显示，蘑菇车联近年来深耕人工智能与自动驾驶领域，自主研发物理世界AI大模型MogoMind，其自动驾驶系统在真实路况中开展应用。旗下自 动驾驶巴士MOGOBUS已在国内10余个省份实现常态化运营，同时中标新加坡首个L4级自动驾驶巴士官方项目。 当前，该公司以"AI网络+自动驾驶"双引擎战略为核心，业务向城市级智能基础设施领域延伸，对各类人才有持续需求，以期推进未来出行生态构建。 近日，《职场Bonus》专访蘑菇车联招聘负责人Monica，聊了聊公司发展规划、招聘需求及人才理念等话题，以下内容经编辑整理： 36氪「职场Bonus」（ID：ZhiChangHongL ...

Core Insights - Fu Qiang has officially joined MOGOX as President, responsible for the strategic implementation and commercialization of the AI business [1][4][7] - MOGOX is positioned at the forefront of the transition of AI from the virtual world to the physical world [6][7] Company Strategy - MOGOX is committed to a dual-engine strategy of "AI Network + Autonomous Driving," focusing on smart transportation and AI infrastructure [2][7] - The company has developed the MogoMind large model, creating an AI network that can perceive, understand, and reason about changes in the real world [2][7] Leadership Impact - Fu Qiang brings over a decade of experience in smart mobility, having held key positions at Didi and Manbang Group, contributing to large-scale business implementations and global expansions [5][7] - His addition is expected to inject strong momentum into MOGOX's AI business expansion, accelerating the application of AI technology across various scenarios [2][7]

Group 1 - The core viewpoint of the article is the strategic partnership between Mogo Carlink and Tencent Cloud to enhance AI capabilities in urban applications through the MogoMind model [1][2] - The collaboration aims to leverage Tencent Cloud's high-performance computing and storage systems to improve MogoMind's model training speed by 30% and reduce costs by 50% [1] - The partnership focuses on enhancing real-time decision-making and stability in public service areas such as transportation, urban management, emergency response, and environmental protection, facilitating the commercialization of Level 4 autonomous driving technology [1] Group 2 - Both companies plan to collaborate on data security by developing multi-scenario data protection products and establishing a comprehensive supervision and auditing mechanism [2] - Tencent Cloud emphasizes that this collaboration will help improve data security standards, ensuring the reliability of AI services in urban applications [2] - The integration of AI and cloud services is expected to lower training costs and entry barriers for AI models, increasing their application opportunities in urban governance and public services [2]

Core Insights - The recent issuance of the "Opinions on Deepening the Implementation of 'Artificial Intelligence +'" by the State Council serves as a strategic impetus for the robust development of China's AI industry, marking a transition from technological breakthroughs to broad integration across various sectors, particularly in the automotive industry [1][2] Group 1: AI Integration in the Automotive Industry - The automotive sector is identified as a key area for the application of AI, with significant potential for innovation and disruption, driven by advancements in technology and changing consumer experiences [1][2] - AI is transforming the automotive landscape from "point intelligence" to "system intelligence," impacting vehicle development, smart transportation, and various operational aspects [2][3] - New startups in the automotive ecosystem are leveraging agile mechanisms and innovative ideas to redefine traditional boundaries, contributing to a comprehensive view of the "Artificial Intelligence + Automotive" industry chain [2][3] Group 2: Technological Advancements and Applications - AI technologies are revolutionizing urban transportation management by providing real-time data analysis for better decision-making and enhancing driving safety and efficiency through advanced perception systems [4][5] - The development of the MogoMind model by Mogu Car Union exemplifies the integration of AI in real-time digital networks, enabling intelligent analysis and decision support for various stakeholders [4][5] Group 3: Future Directions and Recommendations - The competition in future urban environments, particularly in transportation, will hinge on the capabilities of AI network infrastructure, necessitating collaboration between government and high-tech enterprises to enhance urban traffic management [6] - Recommendations include improving public information services, promoting data openness, and fostering collaboration in data and model capabilities to drive transformative changes in urban governance and traffic management [6]

Core Insights - Tesla's Dojo supercomputer project has been terminated, while Waymo is advancing its autonomous driving services in Denver and Seattle, highlighting a divergence in the autonomous driving industry [1][20]. Group 1: Dojo Project - Tesla announced the dissolution of the Dojo team and the termination of the supercomputer project in August 2025, marking the end of a six-year effort [1][6]. - The Dojo was designed to train Tesla's Full Self-Driving (FSD) neural networks and was expected to achieve significant computational power by 2024 [4][5]. - Despite substantial investment and development, the project was deemed a "dead end" by Elon Musk, leading to the departure of key personnel and the formation of a new company, DensityAI [6][8]. Group 2: Tesla's New Strategy - Following the termination of Dojo, Tesla has shifted its focus to the Cortex training cluster, which consists of 50,000 H100 GPUs, enhancing FSD performance [9][11]. - Tesla has signed a $16.5 billion order with Samsung for AI6 chips, indicating a strategic pivot from in-house chip development to partnerships [11] . Group 3: Waymo's Expansion - Waymo is set to launch autonomous taxi services in Denver and Seattle, with testing beginning under human supervision [12][14]. - The company plans to expand its services to ten new cities by 2025 and has already established operations in several major cities [14][15]. Group 4: Global Competition - The competition in the autonomous driving sector has intensified, particularly between companies in the U.S. and China, with various firms pursuing different technological paths [15][20]. - Notable developments include Baidu's Apollo Go service and the introduction of Robotaxi GXR by Chinese company WeRide in Singapore [15][20]. Group 5: Future of Autonomous Driving - The termination of the Dojo project and Waymo's service expansion signify a pivotal moment in the autonomous driving industry, with three distinct paths emerging: Tesla's vertical integration strategy, Waymo's gradual expansion, and the AI network approach represented by companies like MogoMind [20][21].

Group 1: Event Overview - The 27th China Beijing International Science and Technology Industry Expo concluded, showcasing over 1,200 cutting-edge technologies and scientific achievements, with 43 signed projects totaling over 5.8 billion yuan [1][3] - The theme of this year's expo was "Technology Leading, Creating a Future," organized by various Beijing government bodies and attracting over 80,000 attendees [1][3] Group 2: Technological Innovations - Significant breakthroughs in scientific research were presented, including models of rockets and the domestically developed 800Gbps next-generation firewall featuring a Chinese DPU chip [3][4] - The world's first AI+ROBOT orthopedic surgery robot significantly reduced surgery time and costs, while multifunctional AI wall-climbing robots showcased advanced capabilities in high-risk environments [3][4] Group 3: International Collaboration - The expo served as a platform for international technology exchange, with companies from Singapore, Czech Republic, and South Korea presenting AI models, biomedicine, and smart manufacturing products [6][7] - Major global companies like AstraZeneca and Deloitte showcased their latest technologies and collaboration outcomes, highlighting the event's role in fostering international partnerships [6][7] Group 4: Regional Participation - Over 20 provinces and cities participated, with notable exhibits from Hubei's off-road vehicles and various high-tech products from Hangzhou and Lhasa, demonstrating regional innovation and collaboration [7][8] - The event included over 30 trade and investment promotion activities, facilitating practical cooperation and exchanges among participants [8][10] Group 5: Impact on Daily Life - The expo emphasized the integration of cutting-edge technology into everyday life, with innovations like smart pillows, AI watering robots, and wearable health devices improving quality of life [11][12] - Technologies showcased aimed at enhancing patient care and convenience, such as wearable artificial larynx devices and 24-hour video medical services, reflecting a deep integration of technology into healthcare [11][12]