格隆汇8月13日丨万马科技(300698.SZ)于投资者互动平台表示，公司"遨云"自动驾驶综合解决方案具有 高度的兼容性和扩展性，构建高效生态协同。公司已全面开展包括R1在内的DeepSeek全系列模型适配 工作，以满足不同规模参数量模型的个性化部署需求。 ...

Group 1 - Tesla is preparing to expand its Robotaxi business to more cities in the U.S., with recent job postings indicating recruitment of autonomous vehicle operators in Queens, New York [1] - The job position offers a maximum hourly wage of $33.66 (approximately 241.9 RMB), with variations based on position level, and requires flexible scheduling including weekend shifts [3][4] - Currently, Tesla operates a limited number of Robotaxis in Austin, Texas, with a safety driver in the passenger seat, and in San Francisco, where a safety driver is in the driver's seat ready to take control [3] Group 2 - The job roles include operating recording equipment, troubleshooting software, collecting and analyzing audio and video data, and providing detailed feedback, requiring good English communication skills and familiarity with autonomous driving systems [3] - The New York City Department of Transportation has stated that Tesla has not yet applied for a permit to test autonomous vehicles on city roads, highlighting the city's challenging environment for such operations [3] - Tesla's job postings are seen as indicators of its strategic direction, with previous high wages for roles related to training its Optimus humanoid robot [3]

7月24日，深交所、深圳市工信局新能源汽车办、深圳市委金融办、深圳市中小局、福田区金融服务中 心相关负责人，智能网联汽车产业链头部上市公司、科创企业、CVC/创投机构、科研院所等120余家机 构代表齐聚深圳上市公司协会创享汇，共探智驾技术融合发展与产业投资并购机遇。 活动聚焦我国自动驾驶国际标准落地与车路云一体化发展，六棱镜发布《全球智能网联汽车产业链技术 图谱与创新50企业名单》；深交所科融通分享产业投融资数据与深市并购重组服务专区；华为、比亚 迪、深城交等龙头企业与产业投资机构、科创企业开展深度对话，探讨智驾算力底座、技术突破与商业 化生态构建等。 据悉，深圳上市公司协会·香蜜湖上市公司CVC创新服务中心已成功举办七期"20+8产业沙龙"活动，持 续促进产业、科技、资本、新质生产力交流合作。未来将继续整合更多专业力量，充分发挥多层次资本 市场枢纽功能，助力科技创新和产业创新融合发展。 ...

Group 1 - Tesla CEO Elon Musk announced a major update for the Full Self-Driving (FSD) system, set to launch in September 2025, featuring a tenfold increase in AI model parameters and significant video compression technology improvements [2] - The FSD system utilizes Tesla's self-developed HW4.0 autonomous driving chip, which has 2.5 times the computing power of its predecessor, supporting one trillion operations per second, and employs various advanced technologies for end-to-end training from image input to vehicle control [2] - The FSD update aims to significantly reduce the driver's attention requirements, although drivers will still need to remain alert in complex situations such as busy intersections or adverse weather conditions [2] Group 2 - According to SAE standards, autonomous driving is classified into six levels (L0-L5), with L5 representing full automation without human intervention, while FSD currently operates at L2+ level, requiring driver attention and readiness to take control [3] - Major automotive manufacturers and tech companies are currently in the L2-L3 technology validation phase, with Goldman Sachs predicting that by 2030, L3 autonomous vehicles will account for 10% of global new car sales, and by 2040, L3 and above will represent 60% of all light vehicle sales [3] - Musk expressed optimism about Tesla's autonomous driving technology improving at an "exponential rate," with plans for deployment in multiple U.S. cities by late 2025 and global expansion by 2026 [5]

金融界2025年8月13日消息，国家知识产权局信息显示，雄狮汽车科技（南京）有限公司、芜湖雄狮汽 车科技有限公司、奇瑞汽车股份有限公司取得一项名为"自动驾驶车辆的横向控制方法、装置及车辆"的 专利，授权公告号CN114655248B，申请日期为2022年03月。 奇瑞汽车股份有限公司，成立于1997年，位于芜湖市，是一家以从事汽车制造业为主的企业。企业注册 资本546983.1633万人民币。通过天眼查大数据分析，奇瑞汽车股份有限公司共对外投资了61家企业， 参与招投标项目3607次，财产线索方面有商标信息2044条，专利信息5000条，此外企业还拥有行政许可 628个。 来源：金融界 天眼查资料显示，雄狮汽车科技（南京）有限公司，成立于2019年，位于南京市，是一家以从事研究和 试验发展为主的企业。企业注册资本100万人民币。通过天眼查大数据分析，雄狮汽车科技（南京）有 限公司参与招投标项目1次，专利信息363条，此外企业还拥有行政许可7个。 芜湖雄狮汽车科技有限公司，成立于2014年，位于芜湖市，是一家以从事专业技术服务业为主的企业。 企业注册资本20000万人民币。通过天眼查大数据分析，芜湖雄狮汽车科技 ...

2025年8月12日，全球领先的自动驾驶科技公司文远知行宣布，公司创始人兼CEO韩旭博士受新加坡政 府邀请，加入新加坡自动驾驶车指导委员会(Steering Committee on Autonomous Vehicle)，参与未来新加 坡自动驾驶国家政策、运营标准及技术路线的制定工作。据悉，该自动驾驶车指导委员会由新加坡交通 部于7月31日宣布正式成立，旨在统筹推动自动驾驶技术在新加坡的安全、稳步落地。 文远知行创始人兼CEO韩旭表示："我非常荣幸能够受邀加入新加坡自动驾驶车指导委员会，这不仅是 对文远知行在自动驾驶技术领域长期投入与创新成果的认可，也体现了中国自动驾驶企业在全球智能交 通发展中正在发挥积极作用。文远知行将继续坚持技术驱动，运用在全球范围内的丰富落地经验，与各 国政府和合作伙伴共同推动未来出行生态系统的建设与发展。" 文远知行正式加入新加坡自动驾驶车辆指导委员会后，将持续输出其在商业化落地领域的成熟经验与技 术创新成果，为新加坡构建更安全、高效的智慧交通生态体系注入核心动能。与此同时，这一举措也将 助力"中国方案"深度参与全球自动驾驶规则制定，为推动行业向规范化、规模化发展方向稳健迈进贡献 ...

Group 1 - The duality of American culture is evident in its need for stability while allowing a degree of turbulence and backlash, functioning as a "damper" for societal operations [1][32] - The U.S. is characterized by both roughness and advancement, with a significant contrast between different regions, particularly between the coasts and the Midwest [2][4] - Despite having a highly developed university system, over 60% of the U.S. population has not attended college, highlighting a disparity in education and awareness [11] Group 2 - The influx of global talent and capital continues to position the U.S. as a preferred destination for the wealthy and international students, countering societal entropy and driving sustainable development [16] - The U.S. maintains its innovation in emerging industries, including aerospace, electric vehicles, and AI, despite the roughness observed in other sectors [17][18] - The cultural divide is apparent, with coastal elites focused on investment and entrepreneurship, while many in the heartland remain indifferent to global issues [18] Group 3 - The American system encourages innovation and protects intellectual property, allowing for a unique business environment where competition is based on differentiation rather than price wars [29][31] - The operational inefficiencies observed in various sectors, such as hospitality and retail, reflect a broader cultural tendency towards a lack of oversight and self-regulation [30][34] - The complexity of governance, as seen in the management of California's wildfires, illustrates the challenges of multi-level administration and the balance between environmental concerns and property rights [34][35]

Core Insights - Tesla is reallocating engineers from its internal chip and supercomputer projects to focus on other initiatives, including autonomous driving and humanoid robots [1] - The decision to terminate the Dojo AI project was made by CEO Elon Musk, who aims to retain top talent by integrating Dojo team members into other critical projects [1] - The software development staff from Dojo now reports to Ashok Elluswamy, who oversees Tesla's AI work in autonomous taxis and humanoid robots, while semiconductor engineers report to Aaron Rodgers, who leads the development of Tesla's autonomous driving systems and AI5 chip [1] Project Developments - The Dojo firmware team has been reassigned to the safety engineering department led by Silvio Brugada [1] - Despite the majority of Dojo employees being integrated into other departments, former Dojo head Ganesh Venkataramanan has hired at least 20 senior engineers to establish DensityAI after leaving Tesla [1] - Musk stated that it is unreasonable for Tesla to spread resources across two different AI chip designs, emphasizing the use of AI5 and AI6 for training its fully autonomous driving and driving systems [1] Future Applications - The AI5 and AI6 chips are expected to be utilized in Tesla's Cybercab autonomous taxi, the next-generation Roadster electric sports car, and the Optimus robot [2]

Core Viewpoint - A trillion-level industrial revolution is accelerating in China as traditional automakers embrace artificial intelligence, autonomous vehicles navigate urban streets, and robots perform complex tasks [1]. Group 1 - The 2025 World Artificial Intelligence Conference will feature industry leaders discussing how AI is reshaping the future value of Chinese manufacturing [1]. - The event will be broadcasted on August 13 at 22:30 on Oriental TV and August 16 at 22:00 on First Financial [6]. Group 2 - Key figures in the industry include the Deputy General Manager and Chief Strategy Officer of Zhongjian Technology, as well as the Founder and Chief Technology Officer of Pony.ai [3][4].

Core Viewpoint - General Motors (GM) is accelerating its efforts in autonomous driving by recalling approximately 1,000 former Cruise engineers to refocus on passenger vehicle autonomous driving research, aiming for L3 to L5 levels of automation [1][4]. Group 1: Strategic Shift - GM is shifting from a previous focus on Robotaxi platform expansion to a more pragmatic approach centered on passenger vehicle Advanced Driver Assistance Systems (ADAS), emphasizing safety redundancy, cost constraints, and production rhythm [1][4]. - The new Chief Product Officer, Sterling Anderson, is driving this strategic pivot, leveraging his experience from Aurora, a company known for its fully autonomous truck services [3][6]. Group 2: Technical Integration - The recall of former Cruise talent is intended to integrate the advanced perception, planning, simulation, and safety systems developed in complex urban environments into new passenger vehicle production platforms, thereby shortening engineering ramp-up time and preventing the loss of critical capabilities [4][6]. - GM's previous autonomous driving strategy faced challenges, leading to a pause in the expansion of Cruise's Robotaxi services due to regulatory pressures, financial losses, and operational vulnerabilities [8][9]. Group 3: Future Outlook - The decision to restart ADAS research reflects GM's confidence in the technology and a strategic prioritization of "deliverable, regulatory-compliant, and sustainable" passenger vehicle automation over fully autonomous driving in the short term [9]. - By focusing on L2+/L3 systems across more vehicle models and scenarios, GM aims to build a foundation of safety data and engineering capabilities for future advancements in higher-level autonomous driving [9].