Expansion Plans - Tesla is expanding its robotaxi service beyond Texas, with plans to increase the service area in Austin and potentially launch in the San Francisco Bay Area within one to two months, pending regulatory approval [1] - The company has applied for certifications to operate and test autonomous vehicles in the Phoenix Metro area, with a decision expected by the end of July [2][3] Regulatory Landscape - In California, Tesla must apply for permits with the Department of Motor Vehicles and the California Public Utilities Commission (CPUC) to test autonomous vehicles, which is more stringent than Texas regulations [9][10] - Tesla currently holds a transportation charter permit from the CPUC, allowing it to provide a transportation service for its employees but not to operate like Uber or Lyft [11] Current Operations - Tesla's robotaxi service in Austin is limited to 10 to 20 Model Ys with safety operators present [3] - As of now, Tesla has not applied for permits to test or deploy vehicles without safety drivers, which limits its ability to fully launch the robotaxi service [12][13] Investor Sentiment - The expansion news has generated optimism among investors, indicating that Tesla's stock may increasingly depend on its progress in autonomy rather than vehicle deliveries [14] - The current phase of the robotaxi service is seen as a shift from an experimental stage to a more business-oriented approach [15] Competitive Landscape - Tesla's expansion efforts are viewed as a necessary response to competitors like Waymo, which has already deployed over 1,500 robotaxis in multiple U.S. cities [4][16] - The term "minimum viable autonomy theater" has been used to describe Tesla's current strategy, suggesting that the company is executing the bare minimum to maintain the perception of progress in the autonomous vehicle space [16][17]

Core Insights - In 2024, Tesla, Inc. is at a pivotal point to decide its growth trajectory, particularly focusing on the development of the anticipated $25,000 "Model 2," an affordable electric vehicle that has been speculated for nearly six months [1] Group 1 - Tesla is considering the launch of the "Model 2," which aims to cater to a broader market segment by offering a more affordable electric vehicle option [1]

Financial Performance & Guidance - 2018年公司收入为18.34亿美元[13] - 2018年资本支出为8600万美元[13] - 2018年公司回购股份总额为5.916亿美元[17] - 预计2019年收入在18.7亿美元至19亿美元之间[18] - 预计2019年资本支出在9000万美元至1亿美元之间[18] - 预计2020年收入增长将在2019年的基础上增长3-8%[22] Product Performance - 2018年全球车内自动防眩目后视镜（IEC）的渗透率为31.3%[11] - 2018年全球车外自动防眩目后视镜（OEC）的渗透率为12.6%[11] - 2018年IEC出货量为2965.1万个，同比增长5%[11] - 2018年OEC出货量为1195.4万个，同比增长9%[11]

RT Sergio Rodriguez (Blue Checkmark) (@LyftGyft)Giving FSD credit, was using it today. As several other vehicles continued on with their drive, FSD stopped for a pedestrian that waiting to cross. The man had a cane and was waiting patiently. There was a visible crosswalk, yet the other motorist did not stop. Pretty cool to see this situational awareness. The vehicle behind me wasn’t happy, his honking was indicative of their displeasure. (The bounce of the front end, lets me know he had a hard stop) ...

Core Viewpoint - China Automotive Systems, Inc. has successfully launched its L2+ standard electro-hydraulic steering system into mass production, achieving record new orders in July, indicating strong demand in the power steering industry [1][2]. Group 1: Product Development and Production - The second-generation iRCB (intelligent electro-hydraulic circulating ball power steering) has entered mass production in China, completing the design and verification process in just 8 months since its launch in September 2024 [2]. - The iRCB system is the first in China compatible with L2+ assisted driving, utilizing advanced electro-hydraulic control technology to enhance steering accuracy and response speed [3]. Group 2: Economic Impact - The iRCB system is projected to reduce operational costs by nearly RMB 36,000 per vehicle annually, providing significant economic benefits to users [3]. Group 3: Company Strategy and Market Position - The CEO of CAAS emphasized the company's commitment to pioneering proprietary steering technologies, aiming to set new sales records for intelligent driving systems in China in 2025 due to superior performance and cost efficiencies [4]. - CAAS operates through sixteen Sino-foreign joint ventures and wholly owned subsidiaries, offering a comprehensive range of steering system parts for both passenger and commercial vehicles, with an annual production capacity exceeding 8 million sets [5].

来自加州大学河滨分校（UC Riverside）、密歇根大学（University of Michigan）、威斯康星大学麦迪逊分校（University of Wisconsin–Madison）、 德州农工大学（Texas A&M University）的团队在 ICCV 2025 发表首个面向自动驾驶语义占用栅格构造或预测任务的统一基准框架 UniOcc。 UniOcc 融合真实世界（nuScenes、Waymo）与仿真环境（CARLA、OpenCOOD）的多源数据，统一体素（voxel）格式与语义（semantic）标签，首 次引入体素级前后向运动流标注，并支持多车协同占位预测与推理。为摆脱伪标签（pseudo-label）评估限制，UniOcc 设计了多项免真值（ground- truth-free）指标，用于衡量物体形状合理性与时序一致性。在多个 SOTA 模型上验证了其在运动流信息利用、跨域泛化和协同预测方面的显著优势。 UniOcc 已全面开源，支持占位预测、长时序预测、动态追踪等多种任务，致力于构建标准化的感知研究平台，推动自动驾驶迈向多模态、泛化能力 更强的新阶段。 论 文标题：UniOc ...

Core Viewpoint - The article discusses the current trends and opportunities in the fields of autonomous driving and embodied intelligence, emphasizing the need for strong technical skills and knowledge in cutting-edge technologies for job seekers in these areas [3][4]. Group 1: Job Market Insights - The job market for autonomous driving and embodied intelligence is competitive, with a high demand for candidates with strong backgrounds and technical skills [2][3]. - Companies are increasingly looking for expertise in advanced areas such as end-to-end models, visual language models (VLM), and reinforcement learning [3][4]. - There is a saturation of talent in traditional robotics, but many startups in the robotics sector are rapidly growing and attracting significant funding [3][4]. Group 2: Learning and Development - The article encourages individuals to enhance their technical skills, particularly in areas like SLAM (Simultaneous Localization and Mapping) and ROS (Robot Operating System), which are relevant to robotics and embodied intelligence [3][4]. - A community platform is mentioned that offers resources such as video courses, hardware learning materials, and job information, aiming to build a large network of professionals in intelligent driving and embodied intelligence [5]. Group 3: Technical Trends - The article highlights four major technical directions in the industry: visual language models, world models, diffusion models, and end-to-end autonomous driving [8]. - It provides links to various resources and papers related to these technologies, indicating a focus on the latest advancements and applications in the field [9][10].

It's been a tough past year or so for Tesla (TSLA -6.72%) operationally. Its core electric vehicle (EV) business has been struggling. Automotive revenue dropped 20% year over year in the first quarter. Meanwhile, deliveries have now fallen for two straight quarters, including a 14% decline in the second quarter. Tesla is dealing with issues on multiple fronts. In China, the world's largest EV market, it is seeing rising competition from local automakers. The same is also true in the U.S.CEO Elon Musk also i ...

With no homegrown tech giants and more onerous regulations, Europe has largely stayed out of the autonomous-driving race. Now, it’s hitting the accelerator. https://t.co/6P94rx5Qfu ...

Core Viewpoint - Alphabet is positioned as the best investment choice among the "Magnificent Seven" stocks, with significant potential upside in various sectors including search, AI infrastructure, autonomous driving, and quantum computing [1]. Group 1: Search and Advertising - Concerns about AI chatbots replacing traditional search are prevalent, but AI queries are more expensive to run compared to traditional searches, which supports Alphabet's ad-supported search model [3]. - Alphabet's dominance in search is reinforced by its ownership of distribution channels, including the Android operating system and Chrome browser, as well as revenue-sharing agreements with Apple and other browsers [3]. - The company has built one of the largest digital advertising platforms, with user-friendly self-serve ad tools that cater to businesses of all sizes [4]. Group 2: Monetization Opportunities - Currently, only about 20% of Alphabet's searches include ads, indicating substantial room for growth in monetization [5]. - New AI-powered features like "Shop by AI" and virtual try-ons are being introduced, enhancing user experience and creating additional monetization avenues [5]. - The integration of AI and traditional search is likely to be complementary, with many users expected to continue using free, ad-based search options [6]. Group 3: Cloud Computing - Google Cloud is experiencing significant growth, with a 28% increase in revenue and a 142% surge in operating income last quarter [7]. - The Vertex AI platform is attracting customers for building and managing AI models, while Alphabet's Gemini foundational model provides a competitive edge [8]. - Custom-built Tensor Processing Units (TPUs) are designed to optimize AI workloads, offering both power and energy efficiency compared to traditional GPUs [9]. Group 4: Future Technologies - Alphabet is entering the AI chip market with the launch of Ironwood, a TPU designed for inference, which is expected to grow significantly [11]. - Waymo, Alphabet's autonomous driving subsidiary, is expanding rapidly and has shown strong usage metrics, indicating a promising future despite current unprofitability [12]. - The company is also making strides in quantum computing with its Willow chip, which has demonstrated a significant reduction in error rates [13]. Group 5: Valuation - Alphabet is currently trading at a forward price-to-earnings (P/E) ratio of just over 18 times 2025 analyst estimates, suggesting it is undervalued compared to its market position [14]. - The company holds leading positions across multiple sectors, making it an attractive option for long-term investors seeking a technology leader at a reasonable price [15].