RT Amy (@_SFTahoe)People aren’t thinking big enough for the RoboTaxi addressable market. RoboTaxis will replace busses, trains and biking (not just cars). It will change transportation completely and be a serious quality of life upgrade. Plus millions dying each year will be a note in history books.Tesla makes the world better. ...

上海浦东的街头，一辆没有司机的出租车在路边稳稳停靠。 乘客用手机扫码，车门自动打开，坐定后，在屏幕上输入目的地。车辆安静地汇入车流，7公里路程，计价器最终显示：3元。 这不是科幻电影的序幕，而是2025年正在我们身边开始上演的现实。驾驶座上的人类，正在逐渐地消失。现在的普遍预期是Robotaxi真的来了。 在2025世界人工智能大会（WAIC2025）期间，上海发放了新一批智能网联汽车示范运营牌照，允许RoboTaxi在浦东新区（除陆家嘴外）开展收费服务。 运营企业：小马智行（Pony.ai），百度智行，赛可智能，友道智途（上汽集团旗下） 当我们把视线从街道拉向天空，会看到很多消费级无人机，正让普通人以249克的轻巧，一键拍出过去只有专业团队才能实现的"小行星视角"；在深夜的 救援现场，一盏手掌大小的无人机，用每小时0.1度的微弱耗电，点亮了1000平米的黑暗，光芒的背后，是能量密度远超常规的固态电池技术。 从公共空间到私密领域，这场"静默革命"正在同步发生。柳工的无人装载机，驶入了粉尘弥漫、人类难以立足的矿山深处，精准地执行着指令； 但这并非故事的全部。 Yarbo庭院机器人，正用"你的大院子，你的自由时光 ...

Summary of Conference Call Notes Industry Overview - The report focuses on the automotive industry, specifically the development and adoption of intelligent driving technologies and electric vehicles (EVs) [1][3][6]. Key Insights and Arguments - Intelligent driving has become a significant factor in car purchasing decisions, with high demand from tech enthusiasts, long-distance commuters, and novice drivers [1][4]. - The penetration rate of advanced intelligent driving technology in domestic new energy vehicles is expected to rise from 7.8% in 2024 to over 30% by the end of 2025, driven by brands like Huawei, Tesla, Xiaopeng, and Li Auto [3]. - Consumer preferences indicate that the primary factors influencing car purchases are automatic driving (23%), aesthetics, and space [12]. - The market is sensitive to self-driving accidents and regulatory changes, impacting sales for brands like BYD and Tesla [5]. Development Trends - The future of intelligent vehicles requires simplifying concepts for consumers, with "RoboTaxi" commercialization expected to significantly boost consumer demand, similar to the EV adoption surge post-2020 [6][26]. - Users primarily utilize automatic driving for parking, highways, and urban roads, with a lower frequency of use in complex urban environments due to trust issues [15]. Investment Opportunities - Investors should focus on companies with capabilities in computing power, algorithms, and data integration, such as Tesla, Xiaopeng, Huawei, and Li Auto, as well as RoboTaxi operators like Cao Cao Mobility and Didi [7][8]. - Traditional automakers like BAIC, GAC, and SAIC are also potential investment targets, especially those involved in the production of autonomous vehicle components [8]. Consumer Behavior and Preferences - The survey indicates that male owners dominate the user demographic, with a significant portion being first-time EV buyers [10]. - Users show varying levels of acceptance towards automatic driving technology, categorized into four groups based on their willingness to trust and use the technology [16][17]. - Aesthetic appeal is crucial for consumers, as evidenced by the popularity of Xiaomi vehicles, which highlights the importance of design in purchasing decisions [19]. Additional Insights - Consumers are increasingly concerned about product quality, chip upgrades, and the overall driving experience, with many expressing a desire for continuous improvements in intelligent driving capabilities [20][24]. - The acceptance of different technological approaches, such as LiDAR versus pure vision systems, is influenced more by brand trust and user experience than by technical specifications [18]. Conclusion - The automotive industry is at a pivotal point with the rise of intelligent driving technologies and EVs, presenting numerous investment opportunities and challenges. The focus on consumer preferences, regulatory impacts, and technological advancements will shape the future landscape of the market [1][26].

Core Insights - The issuance of new "driverless" demonstration operation licenses in Shanghai is expected to significantly support the growth trajectory of the RoboTaxi industry, as highlighted by Goldman Sachs [1][3] - Goldman Sachs has raised its long-term forecast for the Chinese RoboTaxi market, predicting a market size of $14 billion by 2030 and $61 billion by 2035, with fleet sizes of approximately 535,000 and 2.3 million vehicles respectively [2][7] Group 1: Market Developments - Eight companies, including Pony.ai and Baidu, have received licenses to operate "driverless" vehicles in designated areas, marking a significant step towards commercialization [1][4] - The Shanghai Municipal Commission of Economy and Informatization plans to gradually expand the open areas for autonomous driving, aiming for full coverage of testing roads in the Pudong New Area by the end of the year [1][6] Group 2: Company Activities - Pony.ai has obtained a license for fully driverless RoboTaxi services in Shanghai's Pudong New Area, starting operations in specific districts [4] - Baidu's Apollo Go will collaborate with Shanghai Public Transport for its RoboTaxi services [4] - WeRide has partnered with Chery Automobile and Jinjiang Taxi to secure a RoboTaxi service license, while SAIC's IM Motors and Xiangdao Travel have also received new demonstration operation licenses [5] Group 3: Industry Outlook - Goldman Sachs emphasizes that the positive outlook for the RoboTaxi industry is driven by advancements in software and hardware, cost reductions in vehicle material bills, and the expansion of the ecosystem among operators, manufacturers, and asset owners [7] - The total length of open testing roads in Shanghai has surpassed 2,700 kilometers, with plans to achieve over 5,000 kilometers by 2027 [6]

专题：2025世界人工智能大会 新浪科技讯 7月27日中午消息，近日全球人工智能领域年度盛会——2025世界人工智能大会暨人工智能 全球治理高级别会议（WAIC 2025）在上海举行。 大会期间，蘑菇车联围绕AI大模型在交通领域的应用，展示深度理解物理世界的AI大模型MogoMind、 智能体与物理世界实时交互的AI网络等多项核心技术产品。 在蘑菇车联展区，MogoMind作为首个深度理解物理世界AI大模型备受关注。据悉，该模型参数规模达 到了70亿，感知精度、认知准确度超90%，多模态推理准确率超88%，能推演超800个交通场景，目前 已在北京、上海、浙江等8个城市落地应用。 相比数字世界中的大模型，MogoMind可以视为物理世界的实时搜索引擎，通过接入物理世界实时动态 数据，MogoMind形成全局感知、深度认知和实时推理决策能力，能够从数据中抽取意义、从经验中学 习规则、在场景中灵活决策。 责任编辑：王翔 MogoMind依托交通数据流实时全局感知、物理信息实时认知理解、通行能力实时推理计算、最优路径 实时自主规划、交通环境实时数字孪生、道路风险实时预警提醒六大关键能力，解决了当前AI缺乏物 理世界实 ...

Core Viewpoint - Tesla reported its most disappointing quarterly results in years, with a revenue decline of 12% year-over-year, marking the largest single-quarter drop since 2012, slightly exceeding analyst expectations of an 11% decline [1][2]. Financial Performance - Revenue: In Q2, Tesla's revenue was $22.5 billion, down 12% year-over-year, compared to a 9% decline in Q1 [7]. - EPS: The adjusted non-GAAP earnings per share (EPS) for Q2 was $0.40, a 23% decrease year-over-year, with analysts expecting $0.42 [8]. - Operating Profit: The operating profit for Q2 was $923 million, down 42% year-over-year, with an expected $1.23 billion from analysts [9]. - Net Profit: The adjusted net profit for Q2 was $1.393 billion, down 23% year-over-year, compared to a 39% decline in Q1 [10]. - Capital Expenditure: Capital expenditure in Q2 was $2.394 billion, a 5% increase year-over-year, with analysts expecting $2.43 billion [11]. - Free Cash Flow: Free cash flow for Q2 was $146 million, down 89% year-over-year, with an expected $760 million from analysts [12]. Business Segment Performance - Automotive: Q2 automotive revenue was $16.661 billion, down 16% year-over-year, with a gross margin of 15% excluding regulatory credits [13]. - Energy: Energy generation and storage revenue in Q2 was $2.789 billion, down 7% year-over-year, following a 67% increase in Q1 [14]. Strategic Initiatives - RoboTaxi Expansion: Tesla successfully launched its first RoboTaxi service in Austin, aiming to cover half of the U.S. population by the end of the year, with significant expansion planned [15]. - Policy Challenges: The CFO warned that changes in EV tax credits and tariffs could lead to increased costs of approximately $300 million per quarter, impacting the automotive business significantly [16]. - FSD Adoption: The adoption rate of Full Self-Driving (FSD) has increased by 25% since the launch of version 12, with FSD-equipped vehicles being ten times safer than those without [17]. - Optimus Robot Production: The design for the third version of the Optimus humanoid robot is nearly complete, with a goal of producing one million units annually within five years [18][19]. Energy Business Growth - Despite challenges, Tesla's energy business achieved its highest gross profit to date in Q2, driven by increasing demand for energy storage solutions [22].

Summary of RoboTaxi Industry Conference Call Industry Overview - The RoboTaxi industry is undergoing a significant transformation, driven by advancements in autonomous driving technology and the integration of AI, sensor fusion, and 5G communication systems [1][2][5] - The industry has evolved from its inception around 2000, with notable developments in China starting from 2012, leading to initial commercialization by 2013 [4][10] Key Insights - **Market Dynamics**: The RoboTaxi model is not merely a technological replacement but requires a comprehensive rethinking of regulatory frameworks, urban infrastructure, and user behavior [2] - **Safety and Efficiency**: Remote assistance for autonomous vehicles can enhance safety by allowing cloud-based operators to take control in complex situations, demonstrating faster response times than human drivers [3] - **Accident Reduction**: Autonomous driving technology can significantly reduce accidents caused by human error, with statistics showing that young drivers have a higher accident rate [6] - **Environmental Impact**: The adoption of electric and autonomous vehicles is projected to reduce greenhouse gas emissions by up to 34% by 2050, improving air quality and public health [7] Market Potential - The Chinese RoboTaxi market is expected to reach approximately 1.65 billion by 2024, with global market size projected at 8 billion [13] - By 2030, the market sizes are anticipated to grow to 2.35 billion in China and 11.4 billion globally, although growth rates may be limited due to regulatory and cost challenges [13][14] Competitive Landscape - The leading players in the RoboTaxi sector are primarily based in the US and China, with US companies having a slight head start in development [5][15] - The operational scale of RoboTaxi fleets is expanding, with over 1,500 vehicles deployed across 12 cities in China [15] Cost Structure - The operational costs for RoboTaxi include maintenance, insurance, and energy costs, averaging around 50,000 per vehicle annually [12] - The cost of operating RoboTaxi is expected to decrease significantly as technology advances and production scales up, with projections indicating that costs per kilometer could match traditional taxi services by 2026 [18][20] Regulatory Environment - The regulatory landscape for autonomous vehicles varies between the US and China, with the US having a more permissive environment that encourages innovation, while China focuses on safety and gradual implementation [8][9] Future Outlook - The RoboTaxi industry is poised for growth, but significant technological and regulatory hurdles remain. Achieving widespread commercialization will require further advancements in technology and a supportive regulatory framework [14][18] Conclusion - The RoboTaxi sector represents a transformative shift in urban mobility, with the potential to enhance safety, reduce environmental impact, and reshape consumer behavior towards vehicle ownership [11][19]

Summary of the Conference Call Industry Overview - The discussion primarily revolves around the **Robotaxi** industry, focusing on developments in both **North America** and **China** [1][2][3]. Key Points and Arguments 1. **Commercialization Acceleration**: - Both North America and China are experiencing significant acceleration in the commercialization of Robotaxis. For instance, Waymo's fleet increased from approximately 700 to 1500 vehicles in just over six months, with plans to add another 2000 vehicles next year [2]. - In China, Xiaoma's seventh-generation solution has reduced costs to 270,000 RMB, indicating a potential for achieving operational breakeven with a projected fleet of 1000 vehicles this year [3]. 2. **Impact of Tesla**: - Tesla is expected to be a major catalyst for the industry, with projections of tens of thousands of vehicles being added to the market next year. This could significantly raise the visibility and scale of the Robotaxi sector [4]. 3. **Partnerships and Global Expansion**: - Companies like Xiaoma and WeRide are forming partnerships with global platforms such as Uber, which has invested $100 million in WeRide. This collaboration is aimed at expanding operations into regions like the Middle East and Southeast Asia [5]. 4. **Market Dynamics**: - The differentiation in stock performance between Xiaoma and WeRide post-April 23 is attributed to Xiaoma's strong product launch versus WeRide's IPO lock-up expiration [6]. - Waymo's commercial operations are leading in North America, with a focus on high-cost, fully equipped vehicles [7]. 5. **Safety and Technology**: - The safety of Robotaxis is emphasized as a critical factor for market entry, with data showing that the insurance costs for Xiaoma's vehicles have dropped to half that of human drivers, indicating superior safety metrics [9]. 6. **Market Size and Potential**: - The domestic market for ride-hailing and taxis is estimated at around 500 billion RMB, with potential growth to 1.6 trillion RMB by 2035. The Robotaxi segment could capture a significant share of this market [12][13]. 7. **Competitive Landscape**: - The competitive landscape is characterized by a few key players in the Robotaxi space, primarily in China and the U.S. The transition from L2 to L4 automation is challenging, with only a few companies currently capable of achieving this [14][16]. 8. **Investment Recommendations**: - The recommendation is to focus on leading companies in the Robotaxi sector, particularly in the U.S. and China, as they are expected to benefit from Tesla's advancements and the overall market growth [19][20]. Other Important Insights - The discussion highlights the importance of partnerships between Robotaxi operators and traditional automotive manufacturers to leverage existing production capabilities and market reach [15]. - The potential for a significant market shift towards Robotaxis is noted, with expectations that they will replace a substantial portion of traditional ride-hailing and taxi services [12][13]. - Risks associated with the industry include technological challenges and the potential for commercialization to fall short of expectations [20].

RT TesLatino (@TesLatino)Les presento el @Tesla @RoboTaxi en español ahora, y luego un viaje en inglés. Ambos tal y cuál se grabó. El equipo de Elon y Ashok botaron la bola del parque. ¡Cuadrangular de Taxi! https://t.co/l43pfKJFq5 ...

显然市场要比美联储对美国的通胀受控更为乐观，又或者可以这样说，市场不太看好美国经济和就业， 因此下注于美联储官员需要通过加快降息来刺激经济。 中东局势似有缓和迹象，美股大涨，道琼斯工业指数涨0.89%，收复今年以来失地，年初至今变幅重回 正数，累涨0.09%；特斯拉（TSLA.US）因在德州推出RoboTaxi，股价涨超8%，在此推动下，纳斯达克 指数（IXIC.US）和标普500（SPX.US）分别涨0.94%和0.96%。 盘后，美股大盘指数期货均延续涨势，纳斯达克100指数期货涨0.67%，道指期货涨0.43%，标普500指 数期货涨0.48%。 特朗普声称以色列和伊朗已经同意停火，缓和了中东原油供应短缺的担忧，原油期货价显著回落，WTI 原油期货跌超1%，至每桶66.2美元的两周低位，现报66.7美元。 布伦特原油期货则跌超1%，至大约69.1美元，也是近两周低位，现报每桶69.9美元。 黄金的避险作用减退，金价回落至3,350美元。 最近美联储官员开始放鸽;，表态如果通胀受到控制，支持7月份降息。市场仍在等待鲍威尔周二和周三 在国会作证可能披露的利率意向。有意思的是，交易员都在预期美联储会加快降息步 ...