Core Viewpoint - Morgan Stanley's report indicates that Waymo is at a disadvantage compared to Tesla in terms of hardware costs for autonomous driving vehicles, with Waymo's operational cost per mile significantly higher than Tesla's [1] Cost Comparison - Waymo's current operational cost is approximately $1.43 per mile, while Tesla's cost is only $0.81 per mile [1] - The disparity in costs raises questions about whether Tesla will maintain a long-term advantage [1] Future Projections - Waymo plans to deploy new vehicles by 2026, which could reduce operational costs to between $0.99 and $1.08 per mile [1] - This potential cost reduction is attributed to testing lower-cost base vehicles from Hyundai and Zeekr, rather than the high-end Jaguar I-Pace models currently used [1] Insurance Cost Implications - If the safety record of autonomous taxis continues to improve, there may be a decrease in insurance costs, further impacting overall operational expenses [1]

每经编辑｜陈鹏程 王晓波 1 隔夜市场 美股三大指数收盘均小幅下跌，纳指跌0.24%，道指跌0.2%，标普500指数跌0.14%；大型科技股涨跌不一，英特尔、Meta涨超1%，微软、谷歌、亚马逊小 幅上涨；特斯拉跌超1%，苹果、英伟达、奈飞小幅下跌。纳斯达克中国金龙指数跌0.26%，中概股涨跌不一，百度涨超4%，蔚来涨超3%，网易涨近1%； 京东跌近2%，金山云跌近1%。 美联储发布12月货币政策会议纪要，多数与会者支持在12月降息；少数与会者认为，12月降息并不合理。一些支持降息的与会者表示，这一决定权衡得很微 妙，他们本也可以支持维持利率不变。多数官员认为劳动力市场风险仍偏下行，同时又普遍认为通胀风险偏上行。 国际油价走低，截至发稿时，美油主力合约跌0.24%，报57.94美元/桶；布伦特原油主力合约跌0.31%，报61.3美元/桶。 国际贵金属反弹，截至发稿时，现货黄金涨0.39%，报4348.89美元/盎司；COMEX黄金期货涨0.50%，报4365.8美元/盎司。白银大幅走高，现货白银涨 6.02%，报76.51美元/盎司；COMEX白银期货涨8.57%，报76.5美元/盎司。 欧洲三大股指收盘全线 ...

Core Viewpoint - Shanghai Taosheng Electronics Technology Co., Ltd. has officially submitted its application for listing on the Sci-Tech Innovation Board, aiming to raise 1.058 billion yuan for the construction of a semiconductor testing interface and probe production base, R&D of wafer testing probe cards, and working capital supplementation, to strengthen its leading position in high-end chip testing hardware and accelerate the domestic substitution process [1] Group 1: Company Overview - Taosheng Technology is one of the earliest companies in China to independently develop chip testing interfaces and achieve large-scale production [1] - The company focuses on the semiconductor testing interface field, with products including chip testing interfaces and probe cards, which are critical for ensuring chip quality [1] - The company has developed over 4,000 chip testing interface technology solutions and possesses independent R&D and manufacturing capabilities for high-speed, high-frequency testing probes [2] Group 2: Market Position and Achievements - According to Yole, Taosheng Technology is projected to rank first in chip testing interface revenue in China and 11th globally in 2024 [2] - The company has built a broad customer ecosystem covering the entire semiconductor industry chain, serving over 700 clients, including leading companies in AI chips and autonomous driving [2] - Taosheng Technology has developed the first domestic DSA testing interface supporting parallel testing of 512 chips for Yangtze Memory Technologies, aiding the localization of the storage industry [2] Group 3: Technological Advancements - The company is expanding into the more technically challenging wafer testing probe card field, with its MEMS probe cards already commercialized for AI chip clients [3] - Taosheng Technology has achieved breakthroughs in the storage sector, with 2D MEMS products receiving orders and 2.5D MEMS products passing stringent certifications from Yangtze Memory Technologies [3] - The company is also conducting pre-research on 3D MEMS probe card technology to cover high-end storage testing scenarios [3] Group 4: Future Outlook - Taosheng Technology aims to focus on national strategic needs, pursuing high-end and large-scale development [3] - The company plans to increase R&D investment to tackle core key technologies in high-end testing interfaces, break overseas monopolies, and accelerate the domestic substitution process [3] - The goal is to further expand market share and solidify its leading position in the industry, aspiring to become a leading brand in the global semiconductor testing interface field [3]

Group 1 - Baidu's stock rose by 5% to $133.15 following the announcement of a deep collaboration with autonomous vehicle company New Stone, integrating high-precision map services into its logistics platform [1] - New Stone's autonomous vehicles utilize self-developed BEV algorithms and 4D One Model architecture, achieving L4 level autonomous driving in complex road environments, with applications in logistics, retail, and medical delivery [1] - Morgan Stanley noted a fundamental shift in Baidu's investment narrative, transitioning from traditional search advertising to becoming an AI infrastructure provider, driven by advancements in AI and the commercialization of Kunlun chips [1] Group 2 - Morgan Stanley predicts a significant growth in Baidu's Kunlun chip revenue, estimating an increase from approximately 1.3 billion RMB in 2025 to 8.3 billion RMB in 2026, reflecting a sixfold growth due to strong demand for AI hardware [2] - Analysts forecast that Baidu's cloud business revenue will grow by 61% year-on-year in 2026, positioning it as a key pillar for new growth [2]

Group 1 - U.S. stock index futures show mixed performance with Nasdaq futures down 0.03%, S&P 500 futures up 0.01%, and Dow futures down 0.01% [1] - European stock indices are all up, with Germany's DAX index rising 0.44%, UK's FTSE 100 index up 0.39%, France's CAC index up 0.44%, and the Euro Stoxx 50 index up 0.7% [1] Group 2 - The Federal Reserve's January interest rate cut probability is at 16.1%, while the probability of rates remaining unchanged is 83.9% according to CME's FedWatch [2] Group 3 - Meta has acquired Manus for several billion dollars, with Manus' founder, Xiao Hong, appointed as Meta's Vice President [3] Group 4 - Elon Musk discussed AI and autonomous driving collaboration with Israeli Prime Minister Netanyahu, with plans to visit Israel in March next year [4] Group 5 - TSMC's 3nm plan is reportedly being expedited to the U.S. by one year to prevent competitors from gaining an advantage [5] Group 6 - Novo Nordisk and Eli Lilly have significantly reduced the prices of their weight loss drugs, Wegovy and Mounjaro, in China [6] Group 7 - Boeing has secured an $8.6 billion contract for F-15 fighter jets, related to U.S. military sales to Israel [7] Group 8 - Citigroup's board has approved the sale of its Russian business, AO Citibank, expecting to incur a pre-tax loss of $1.2 billion [8] Group 9 - XPeng has officially launched the G7 super extended-range SUV, achieving a record-breaking total range of over 1,704 kilometers [9] Group 10 - Strategy has invested over $100 million in Bitcoin, achieving a year-to-date return of 23.2% [10] Group 11 - Verisk has terminated its acquisition of AccuLynx due to delays caused by regulatory scrutiny [11]

Core Insights - The Chinese automotive industry is entering a new development phase as the "14th Five-Year Plan" concludes, with a focus on the commercial viability of advanced autonomous driving technology [1] - Pony.ai has achieved significant milestones in autonomous driving, becoming the first company in China to operate fully unmanned Robotaxi services in four major cities: Beijing, Shanghai, Guangzhou, and Shenzhen [1][2] - The transition from demonstration projects to real public transportation services marks a critical shift in the operational landscape of autonomous driving [1] Group 1 - Pony.ai has deployed over 900 Robotaxi vehicles, accumulating more than 60 million kilometers in autonomous driving testing and operations, with over 13 million kilometers of fully unmanned driving [2] - The average daily order volume per Robotaxi has reached a high level, with stable user repurchase rates and satisfaction, indicating a genuine demand for autonomous ride-hailing services [2] - The company is not limited to a single operational model but is advancing various business forms, including Robotaxi, autonomous truck logistics, and technology licensing, to scale autonomous driving [2] Group 2 - Collaborations with major automotive manufacturers such as Toyota, GAC, BAIC, SAIC, and FAW are facilitating the transition of Robotaxi from demonstration models to mass production, integrating autonomous driving capabilities into vehicle development and manufacturing [2] - Pony.ai's ongoing operations in first-tier cities validate the feasibility of fully unmanned driving in complex traffic environments and provide a practical foundation for enhancing urban traffic efficiency and optimizing travel structures [2][3] - The company has been recognized in the "2025 Automotive Industry Influence Yearbook" as a representative enterprise in the transition from technological exploration to commercial implementation of autonomous driving [3]

Core Insights - Tesla's stock has shown a year-to-date gain of 21.2%, closing at $459.64 on December 29, 2025, compared to approximately $379 at the beginning of the year [1][4] - A $1,000 investment at the start of 2025 would have appreciated to about $1,214 by year-end, reflecting a gain of approximately $214 [2] - The stock's performance in 2025 was characterized by early volatility followed by a strong rebound, driven by reassessment of demand trends and margin stabilization [4] Supply Chain and Cost Concerns - A significant reduction in the supply agreement value with South Korean battery materials supplier L&F, from $2.9 billion to just over $7 million, has raised concerns about battery supply risks [6][7] - China's new licensing rules on silver exports have introduced additional cost concerns, as silver is a critical input for Tesla's automotive electronics and solar components [8] Future Outlook - Tesla's 2025 performance indicates a combination of long-term upside potential and ongoing near-term volatility, with price movements likely to be influenced by supply-chain developments and input costs as 2026 begins [9]

Group 1 - Baidu Group-SW (09888.HK) experienced a strong performance in the Hong Kong stock market, closing up 8.90% on December 30, becoming the leading stock in the Hang Seng Tech Index [1] - The Hang Seng Tech Index rose by 1.74%, closing at 5578.38 points, with other tech stocks like Horizon Robotics and SMIC also seeing significant gains [1] - Baidu Maps announced a deep collaboration with the autonomous vehicle company New Stone, integrating LD data products into its logistics platform for high-precision mapping services [1] Group 2 - Baidu's Q3 2025 earnings report showed total revenue of 31.174 billion yuan, a year-on-year decline of 7%, primarily due to a drop in core online marketing revenue to 16.566 billion yuan, down approximately 18% [2] - The company reported a net loss attributable to Baidu of 11.232 billion yuan, mainly due to long-term asset impairment of 16.19 billion yuan, while non-GAAP net profit was 3.77 billion yuan, indicating resilience in core business profitability [2] - Morgan Stanley noted a fundamental shift in Baidu's investment narrative, transitioning from a traditional search advertising company to an AI infrastructure provider, with significant revenue growth expected from Kunlun chip sales and GPU computing demand [2] - The revenue from Kunlun chips is projected to increase from approximately 1.3 billion yuan in 2025 to 8.3 billion yuan in 2026, representing a sixfold increase [2] - Research from Shenwan Hongyuan upgraded Baidu's rating to "Buy," forecasting revenues of 128.5 billion, 133.1 billion, and 141 billion yuan for 2025 to 2027 [2] - Dongwu Securities expressed optimism about AI providing new growth opportunities for Baidu, highlighting the company's focus on shareholder returns through ongoing buybacks and maintaining a "Buy" rating [2]

文｜王欣 编辑｜苏建勋 在2025年火热的具身智能创业潮中，"它石智航"有着绝对吸睛的实力。 这是一个由国内智驾黄埔军校核心高管组成的"梦之队"。它石智航首席执行官陈亦伦曾在华为车BU担 任自动驾驶系统CTO；首席科学家丁文超曾是华为"天才少年"。董事长李震宇则担任过百度智能驾驶事 业群原总裁，打造过全球最大的Robotaxi出行平台"萝卜快跑"。 在自动驾驶行业，陈亦伦、李震宇均是带过千人团队、打过胜仗的"名将"，两人的合作创业，也让它石 智航迅速成为资本的宠儿。在今年3月，它石智航以1.2 亿美元的融资额，创下中国具身智能行业天使轮 最大融资额纪录。 资本看重它石智航的技术积累和人才储备。线性资本创始人兼 CEO 王淮曾这样评价它石智航："他们能 将之前在华为做自动驾驶的很多软硬件打磨的经验，结合大模型的思考和推理能力，落实在具身机器人 身上。" 可在天使轮融资破纪录，创始团队如此豪华的状况下，不同于其他具身智能公司高频地披露出货量与技 术突破，2025年一年，它石智航鲜少公布进展。 12月19日，它石智航办了一场线上发布会，持续时间只有短短40分钟，展示的成果，是"全球首个完成 刺绣的机器人"。 为什么 ...

Core Insights - The article discusses the vision of world models in understanding and transforming the physical world, emphasizing the role of continuous technological breakthroughs in generative AI for autonomous driving [2] - It highlights the ongoing exploration of world models in the autonomous driving sector, particularly in video generation and OCC generation [2][3] - The article addresses the challenges faced by newcomers in grasping the concept of world models and the complexities involved in data generation and closed-loop simulation [4][5] Summary by Sections Introduction to World Models - The first chapter provides an overview of world models and their connection to end-to-end autonomous driving, detailing the historical development and current applications [12] - It categorizes different types of world models, including purely simulated models and those that integrate planning and sensory input generation [12] Background Knowledge - The second chapter covers foundational knowledge related to world models, including scene representation and technologies like Transformer and BEV perception [13] - This chapter is crucial for understanding the technical vocabulary frequently encountered in job interviews related to world models [13] General World Model Discussion - The third chapter focuses on general world models and recent advancements in autonomous driving, discussing notable models such as Marble, Genie 3, and VLA+ algorithms [14] Video Generation-Based World Models - The fourth chapter delves into video generation algorithms, highlighting significant works like GAIA-1 & GAIA-2 and recent advancements in the field [15] OCC-Based World Models - The fifth chapter centers on OCC generation algorithms, discussing three major papers and a practical project that extends to vehicle trajectory planning [16] World Model Job Topics - The sixth chapter shares practical insights from industry experience, addressing the application of world models in the industry, common pain points, and interview preparation [17] Course Overview - The course aims to provide a comprehensive understanding of end-to-end autonomous driving, with a focus on world models, and is designed for individuals looking to enter the autonomous driving industry [17][20] - It includes detailed discussions on key technologies and methodologies, ensuring participants can apply their knowledge in real-world projects [20] 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 [21][22]