每场均为8人以内星巴克理想交流局 6月6日(周五) 19:00 北京金融街 6月7日(周六) 14:00 北京望京 6月8日(周天) 14:00 北京望京 6月9日(周一) 19:00 上海陆家嘴 6月10日(周二) 19:00 上海陆家嘴 6月11日(周三) 19:00 杭州浙大紫金港 6月12日(周四) 19:00 深圳市民广场 6月13日(周五) 19:00 深圳市民广场 6月15日(周天) 14:00 成都天府二街 第二轮:对理想不断强调自己是AI公司是什么看法？ 第三轮:认为理想1年期，3年期，5年及以上周期下限上限分别是什么？ 有意加TOP2微信。 流程: 三轮每人讲述3min以内（计时）三轮讲完后，自由交流 第一轮:对i8i6是什么预期 ？ 大家自费饮品。 ...

Core Viewpoint - The article highlights the significant upgrade of the Li Auto L6789 model, particularly the standard inclusion of Hesai's ATL LiDAR across all variants, emphasizing its advanced features compared to the previous ATX model [1]. Group 1: Technical Specifications - The ATL LiDAR features a fourth-generation chip architecture with a dual-core MCU [2]. - Compared to the Hesai AT128, the ATL's size and weight have been reduced by 60% [2]. - The minimum exposed window height is 25 mm, consistent with the public version of ATX [2]. Group 2: Performance Enhancements - The ATL achieves a best angular resolution of 0.08° (H) × 0.1° (V), an improvement over the ATX's 0.1° × 0.1° [3]. - The higher horizontal resolution and increased point cloud density at the same operating frequency enhance performance [4]. - The ATL can activate optical zoom while driving at high speeds, allowing for a 30° field of view with a maximum range of 200 meters, effectively doubling the resolution [4]. Group 3: Safety Features - Li Auto has customized the ATL with intelligent zoom functionality, focusing on enhancing the active safety capabilities of the AD Pro and AD Max systems [4]. - The latest capabilities include AEB (Automatic Emergency Braking) that can stop at 120 km/h in rainy night conditions and AES (Active Emergency Steering) that can navigate around two accident vehicles at 130 km/h in the dark [4]. - This upgrade aligns the active safety capabilities across the entire Li Auto lineup, from L6 Pro to MEGA Home [5].

Core Viewpoint - The article emphasizes the advantages of using cloud-based large models for distillation into smaller models for vehicle deployment, highlighting the benefits of scale, unified modalities, and enhanced reinforcement learning capabilities [1][2][4]. Group 1: Cloud Model Distillation - The company is training a 72 billion parameter VLA model in the cloud, which will be distilled into smaller models for vehicle deployment, allowing the smaller models to inherit the capabilities of the larger model [1]. - Distillation from a larger cloud model to a smaller vehicle model enhances performance due to the scale effect, allowing for better learning from more data [1][2]. - The approach addresses the "modal unification" challenge in autonomous driving, where different drivers may respond differently to the same scenario, potentially leading to confusion and model collapse [2]. Group 2: Vehicle Edge Deployment - The VLA model must be deployed on the vehicle rather than in the cloud to mitigate safety risks associated with network latency, especially in critical driving situations [3]. - Delays of even 300 milliseconds can pose significant risks in vehicle control, necessitating local deployment for real-time responsiveness [3]. Group 3: Importance of Vehicle Chips - The local chip is crucial for the effective deployment of AI models, with the company developing a chip that offers three times the computational power of mainstream vehicle chips [4]. - The integration of chip design with software and model architecture is essential for maximizing performance and efficiency [4]. Group 4: Sensor and Computational Strategy - The company adopts a light radar and heavy computation strategy, which enhances the responsiveness and safety of autonomous driving systems [5]. - By eliminating laser radar, the company saves 20% of perception computing power, significantly improving visual processing speed and safety [5]. - The AI camera system, with advanced capabilities, provides superior visual input, enhancing the overall system's performance [5].

Core Viewpoint - The article discusses the progress of the construction of charging stations by the company, highlighting the current status and future targets for the number of stations to be built. Group 1: Current Progress - The total number of supercharging stations has increased from 2277 to 2283, achieving a progress value of 71.93% towards the goal of over 2500 stations by the i8 release date [1]. - The remaining time until the i8 release is 83 days, with a progress value of 60.66%, requiring an average of 2.61 stations to be built daily to meet the target [1]. Group 2: Yearly Goals - For the year, the progress value for new stations built has increased from 24.20% to 24.46%, with 236 days remaining in the year [1]. - The company needs to build an average of 7.28 stations daily to reach the end-of-year target of over 4000 stations [1]. Group 3: New Stations Details - Six new charging stations have been completed, all located in Jiangsu Province and Shandong Province, with specifications varying from 4C to 5C stations [1]. - Specific locations include: - Changzhou: 4C × 6 - Taizhou: 4C × 4 - Wuxi (two locations): 4C × 6 each - Dongying: 2C × 3 and 5C × 1 - Heze: 2C × 3 and 5C × 1 [1].

原作者：微博用户大懒货 原文链接： https://weibo.com/2062985282/PqLTwkUCj https://weibo.com/2062985282/PqTQlabkX ①：VLA 司机模型【司机Agent】最后落地一定是一个 端云一体化的产品【车端VLA 4B+云端 32B VL基 座模型】。原因如下，车端OrinX Thor 算力有限且需要低时延反应，车端的VLA模型参量就一定大不到哪里 去【大了就是跑不动】，因此一定需要用COT 的方式将部分复杂场景分析放在云端VL模型中，将信息分析下 放回车端完成完整的Token输出后用扩散模型转换成轨迹再转换成控制单元。 ②：VLA的VL基座模型为什么要自己去预训练。用第三方LLM做VLM的经验已经告诉我们，如果不是用 原生的基座模型。模型蒸馏以后其他LLM模型里面和驾驶场景无关的知识能力客观来说会影响模型本体的能 力上限。【而车端算力是非常宝贵的，因此做原生驾驶场景的基座模型就是一个非常艰难，但是必须要做的 事情】 【当然如果某一家可能会有更高的车端算力，我觉得尝试用第三方LLM去做蒸馏后强化学习也是可以尝 试一下，毕竟各家搞科研的VLA机器 ...

预计L6 Pro/L78 Max/L9 Ultra/Mega Home将成为各自型号的最高销量车型。 截止到5月31日首销期权益： 所有车型均有三年零息，五年低息。L678 5000抵10000，L9 5000抵15000。L789送充电桩或30000积 分，L6不送。L6789 付费颜色都送。 L6 Pro可选配冰箱了，且首销期直接送。L6 Max 送21寸轮毂。L78有8000选装基金，可选21寸轮毂或电 动踏板。 L6789如果全款支付，会有不同的保险补贴，L78 是8000，L9是10000，L6可能是6000。 配置升级： 所有车型升级激光雷达，Max以上车型升级Thor U芯片。L78 升级双腔空悬，Max版本升级52度大电池。 L9升级 双腔双阀（MEGA还是双腔，双阀不能提高MEGA的舒适性）， 十八点热石揉捏按摩（一二 排），后排屏幕升级至21.4寸、新流媒体后视镜。 【L6】 Pro：24.98万 标配激光雷达的AD Pro高级辅助驾驶、标配双电机四驱、双叉臂五连杆悬架和CDC减振器、四屏交 互。 Max：27.98万 标配Thor U芯片的AD Max系统，增加了铂金音响和智能冷暖双用冰 ...

Core Viewpoint - The article discusses the progress of the construction of charging stations by the company, highlighting the recent additions and future targets for expansion. Group 1: Charging Station Progress - The total number of charging stations has increased from 2271 to 2277, with a recent addition of 6 new stations [1] - The company aims to achieve a target of over 2500 charging stations by the release of the i8 model, with current progress at 71.15% [1] - There are 84 days remaining until the i8 release, requiring an average of 2.65 new stations to be built daily to meet the target [1] - For the end of 2025, the goal is to have over 4000 charging stations, with current progress at 24.20% and a daily requirement of 7.27 stations for the remainder of the year [1] Group 2: New Charging Stations Details - New charging stations have been established in various locations, including: - Dalian, Liaoning: 4C station with 6 charging points [1] - Xingtai, Hebei: 4C station with 4 charging points [1] - Suzhou, Jiangsu: 4C station with 6 charging points [1] - Qingdao, Shandong: 5C station with 3 2C points and 1 5C point [1] - Tianjin: 4C station with 6 charging points [1] - Chongqing: 5C station at a highway service area with 6 2C points and 2 5C points [1]

视频版： 理想官方公众号的文字版删了40%左右的内容。 完整文字版： Q:距离上次的 AI talk 过去了 130 天，你最大的进步是什么？你有成为一个更智能的李想吗？ 李想:我觉得这 130 天我觉得我更高兴看到的是整个中国的进步，对吧？我觉得包括DeepSeek，包括千问在内的，可以让中国无论是基座模型，还是 reasoning推理模型，还是后边的多模态，已经跟美国的距离基本上拉近了，或者基本上在一个水平线上了。而且中国的企业做出来这些模型效率也更 高，无论是在预训练上，在训练的层面，还是在后边的整个推理层面，我们做了很多的深层的工程的改造。我觉得也让整个的中国的人工智能领域更有 信心。也包含后边我看到一些比较惊喜的，在 Agent（智能体）上面的一些突破，无论是 Manus 还是这个还是 Genspark，我觉得其实这些方面做的都非 常的好。 嗯，所以我说这个其实是非常惊喜的，那如果从我们自己个人而言，这也树立了我们把 AI 做得更好的这个信心。今天大家在讲语言模型，但我还是认 为语言模型只是世界的一个重要的组成部分，但并不是全部，我们要想去理解物理世界，我们要想让一个终端或者一个机器人能够在物理世界 ...

Core Viewpoint - The company is expected to report Q1 2025 revenue between 25.54 billion to 26.15 billion, with a gross margin of approximately 19.5% to 20.0%, resulting in a gross profit of around 4.98 billion to 5.23 billion. Operating profit may range from negative 0.3 billion to positive 0.9 billion, while free cash flow is anticipated to be negative by a few billion [1][3][7]. Revenue Projections - For Q4 2024, revenue estimates are 46.28 billion if data is accurate, or 44.94 billion if not, with actual revenue reported at 44.3 billion [1]. - The average monthly revenue for October to December 2024 is calculated using two methods, showing minor discrepancies for October and November but a significant difference of nearly 1 billion for December [2]. - The expected revenue for Q1 2025 is projected to be lower than Q4 2024 by approximately 18.12 billion to 18.73 billion [7]. Gross Margin and Profitability - The company anticipates a vehicle gross margin of 19% for Q1 2025, leading to total gross profit estimates of 4.98 billion to 5.23 billion [3][4]. - Operating expenses for Q4 2024 were reported at 5.267 billion, and if maintained, the minimum operating profit for Q1 2025 could be negative 2.87 billion [4][6]. Cash Flow Analysis - Free cash flow is challenging to quantify but is qualitatively linked to revenue differences between quarters. A positive revenue difference typically correlates with positive free cash flow [6][8]. - Historical data shows that since the company's U.S. listing in July 2020, free cash flow has been positive in most quarters, except for Q3 2022 [8]. Strategic Outlook - The company aims to maintain a sales rhythm similar to the launch of models L8 and L9 in 2022, which is expected to help sustain order levels for Q1 2025 [1][8].

Core Insights - The article discusses the recruitment of sales vice presidents in seven countries, indicating a strategic focus on expanding into international markets, particularly in the Middle East and Central Asia [1][2][4]. Group 1: Market Expansion Strategy - The company has stated that it is not currently considering entering Western Europe and North America, with a primary focus on the Middle East and Central Asia as key target markets [2]. - Progress has been made in Central Asia and the Asia-Pacific markets, with plans to increase investments in Latin America, the Middle East, and Europe [4]. - The company has expressed confidence in achieving market growth through the onboarding of high-quality and experienced authorized dealers in overseas markets [4]. Group 2: Sales Strategy and Team Management - The recruitment requirements emphasize the need for a strategic approach to sales, including the development of localized business models tailored to the electric vehicle market [5]. - The role involves leading a high-performance local sales team and fostering cross-cultural collaboration to enhance sales operations [6][9]. - The company aims to analyze local electric vehicle markets and establish long-term relationships with key customers, including government procurement and corporate fleets [5][6]. Group 3: Compliance and Market Dynamics - The company must ensure compliance with local regulations, including data privacy and antitrust laws, while monitoring market dynamics to adjust strategies accordingly [8]. - The recruitment criteria highlight the importance of having a strong understanding of the electric vehicle ecosystem, including battery technology and charging infrastructure [10][11]. Group 4: Candidate Qualifications - Candidates are expected to have over 10 years of sales leadership experience in the automotive or high-end consumer goods sectors, with at least 3 years in a vice president role [9][12]. - Proficiency in sales analysis tools and a strong business acumen regarding the electric vehicle market are essential qualifications [10][11]. - Fluency in English and the local language is mandatory, along with a proven track record in market development [11][12].