9月下旬，一场特殊的集体交车仪式在华为总部上演——阿维塔为超3000名华为员工交付新车，这一规模不仅创下智能汽 车品牌"员工选购"纪录，更成为阿维塔与华为战略合作升级的鲜活注脚。 从2019年开启合作至今，双方已联手打造4款爆款车型，此次集体交车背后，既是华为员工对产品力的"严选认证"，更是两 大阵营向"一个团队、一个目标、一套打法、一举成功"融合发展的关键一步。 3000辆订单背后的产品硬实力 "华为员工选车和工作一样，高标准、高要求。"在交车仪式现场，华为智能汽车解决方案BU副总裁迟林春的话，点出了 3000辆订单的分量。作为智能汽车领域的"专家级用户"，华为员工的选择，本质是对阿维塔"技术+安全+颜值"三重优势的 认可。 从技术配置来看，阿维塔全系车型均标配华为最顶尖的智能技术：最新升级的华为乾崑ADS4智驾系统，即将通过OTA解 锁"车位到车位"全场景体验，无论是城市复杂路况还是狭窄车位泊车，都能实现精准操控；鸿蒙座舱5.0未来将融入大模型 能力，支持语音、手势、眼神多模态交互，让车成为"超强出行助理"；再加上太行智控底盘的平顺调校、昆仑智慧增程的 高效节能，以及宁德时代（300750）提供的"神行超 ...

9月23日云栖大会前夕，阿里云发布全新 Qwen3-Omni，业界首个原生端到端全模态 AI大模型，斑马智 行宣布率先融合接入。 在云栖大会前沿应用馆特展区斑马智行展台，全球首个、行业唯一智能座舱全模态端侧大模型解决方案Auto Omni，将开放实车体验。 云栖大会官网日程及展台信息显示，9月26日斑马智行将联合阿里云及高通正式发布Auto Omni，该方案在业 内率先采用端到端技术架构，基于阿里云Qwen Omni及高通骁龙8397芯片平台打造，具有主动智能、断网可用、 隐私无忧三大特点，将带来产品体验代际式的提升与变革。 斑马智行第一家在云侧及端侧采用，端侧独家合作，打造专属汽车智能座舱场景的解决方案。骁龙8397平台 是高通第五代智能座舱芯片，算力大幅提升至320 TOPS，成为高端智能汽车首选，也是端侧大模型上车的最佳平 台之一。 2025年被行业称为端模型上车元年。伴随主流座舱SoC芯片算力大幅提升，让7B参数规模的多模态大模型能 够在端侧流畅运行。多模态端侧大模型尚未上车，全模态技术方案已经到来，给行业及用户带来更好的选择。 据了解，首批搭载高通8397芯片的车型将在2026年量产。届时，首批采用 ...

中经记者 张家振 武汉报道 （东风猛士科技CEO万良渝。新浪微博/图） "新起点，新征程。终于等到这场顶尖智慧的碰撞。今天，我将前往华为拜访学习。"9月22日上午，微 博用户"猛士万良渝"发布了首条消息。 上述微博注册于9月19日，简介为"东风猛士科技CEO"。《中国经营报》记者从东风猛士科技方面求证 了解到，万良渝已正式出任东风猛士科技CEO一职。 据了解，万良渝此前任东风猛士科技副总经理、CMO（首席制造官）。而在一周前的9月15日，东风猛 士科技原CEO曹东杰调任东风本田执行副总经理。曹东杰也是东风猛士科技首任CEO。 "这是一次期待已久的思想盛宴，更是一场关于智能越野与未来出行的深度对话。向中国最顶流的科技 企业取经，为猛士'越·山海、阅·不凡、悦·人生'的用户使命注入新动能。"万良渝在上述微博中表示，并 @了华为智能汽车解决方案BU CEO靳玉志。 靳玉志则"隔空"回复称："一起把真智能、真越野的极致体验，带给更多用户。" 万良渝履新首站即到访华为，也引发了业内对双方或进一步升级合作的关注。相关资料显示，2024年2 月22日，东风猛士科技与华为正式签署战略合作协议，双方推动实现各自领域的产业资源共 ...

Group 1: Dubai's Economic Growth and Investment - Dubai attracted a record number of multinational companies (MNCs) in the first half of 2025, with a 138% year-on-year increase in new businesses, 58% of which came from Asia [2] - The Dubai Chamber of Commerce reported that the number of MNCs established in Dubai reached a significant milestone, with 58% from Asia, followed by Europe (16.1%) and the Middle East and CIS (12.9%) [2] - The real estate market in Dubai saw a historic surge, with 99,146 transactions recorded in the first half of 2025, nearly quadrupling from 26,891 transactions in the same period of 2021 [6] Group 2: Strategic Partnerships and Initiatives - The Hong Kong Securities and Futures Commission signed a memorandum of understanding with the UAE Securities and Commodities Authority to enhance fund distribution cooperation, allowing non-listed overseas funds to be sold directly to UAE retail investors [2] - The Dubai Chamber signed a memorandum of understanding with the UAE Development Bank to support startups and SMEs by providing more financing options and customized banking solutions [5] - ADNOC launched the first AI-driven smart port solution in the GCC to enhance oil port operational efficiency, reducing vessel turnaround time by up to 90% [5] Group 3: Foreign Direct Investment and Employment - Sharjah attracted $1.5 billion in foreign direct investment (FDI) in the first half of 2025, marking a 361% increase from $325 million in the same period of 2024 [4] - Sharjah's FDI projects increased to 74, a 57% year-on-year growth, creating 2,578 new jobs, which is a 45% increase compared to the previous year [4] Group 4: Aviation and Transportation Developments - The UAE ranked among the top countries globally for aviation safety, achieving a score of 98.86% in the ICAO audit [3] - Qatar's Hamad International Airport recorded a historic high of over 5 million passengers in August 2025, reflecting a 6.4% month-on-month increase [10] Group 5: Renewable Energy and Technological Advancements - QatarEnergy partnered with Samsung to build one of the world's largest solar power plants, expected to have a total capacity of 2,000 MW by mid-2029 [11] - Robo.ai Inc. announced a joint venture in Dubai to establish the "Robo.ai Smart Industrial City," focusing on high-end smart vehicle production and other advanced technologies [7]

Core Viewpoint - Qualigen Therapeutics has entered into a PIPE agreement with Faraday Future, involving a financing of approximately $41 million, aimed at transitioning the company towards cryptocurrency and Web3-related businesses [4][6]. Financing Details - The financing round is led by Faraday Future and its CEO Jia Yueting, with a total investment of about $41 million, including $30 million from Faraday Future at a price of $2.246 per share, giving it a 55% ownership stake in Qualigen [4][6]. - Jia Yueting plans to invest an additional $4 million personally, acquiring about 7% of Qualigen's common stock [4][6]. Strategic Shift - Following the investment, Qualigen is expected to rebrand as CXC10 and focus on cryptocurrency and Web3, moving away from its current biopharmaceutical operations, which are struggling [6][10]. - The company aims to create a new business model centered around a crypto ecosystem, decentralized AI trading, and value stabilization [6][10]. Company Background - Qualigen has faced significant challenges, including a risk of delisting from NASDAQ due to its stock price falling below $1 for 30 consecutive days [8][9]. - Recent leadership changes occurred as the previous CEO and CFO resigned due to strategic disagreements, leading to the appointment of new executives with experience in turning around small-cap companies [9][10]. Current Operations - Qualigen's core product pipeline focuses on rare cancer treatments, with ongoing projects like QN-302 in Phase 1 trials and Pan-RAS in lead optimization [10]. - Despite the strategic investment, the company has not shown substantial operational improvements, and its future remains uncertain in the highly competitive biopharmaceutical industry [10].

对于周末进店量和小订量暴涨的现象，该博主表示，核心原因在于此次到店的展车和试驾车不仅数量充 足，而且均为海岛蓝、鎏金黑和珊瑚红等主流配色，同时涵盖了主流配置。这使得消费者不仅更有意愿 到店看车，感受全新问界M7的外观魅力，还能通过实际试驾体验车辆的舒适度。 据CNMO了解，全新问界M7预售价格为28.8万元起，自9月5日开启预售以来，市场反响空前热烈。仅 10分钟小订数量即突破2万单，1小时突破10万单，6小时累计达13万单，24小时超过15万单。最新数据 显示，该车小订已经突破了22万单。 官方表示，全新问界M7将于9月23日正式发布。 全新问界M7 从博主发布的信息来看，全新问界M7全国门店进店量增长幅度高达300%，小订量增长110%（相比周 四和周五）。具体来看，一二线城市单日小订量成绩斐然。其中，广州超过500单、杭州超过450单、苏 州超过400单、合肥超过150单，这意味着该车在不同城市均受到了消费者的热烈追捧。 CNMO注意到，在所有订车用户中，有92%为首次购买鸿蒙智行旗下产品。这一数据表明，全新问界 M7凭借自身魅力成功吸引了大量新用户，进一步拓展了鸿蒙智行品牌的市场覆盖面。 （来源：CN ...

Core Insights - Huawei is advancing its high-level autonomous driving technology with the launch of the QianKun ADS 4.0 system, which supports commercial use of high-speed L3 driving [1] - The company is exploring new collaboration models with automakers, named "HI PLUS," which involves ceding data and algorithm sovereignty to partners while moving away from brand co-construction and channel control [1][2] - The competitive landscape is intensifying, with other automakers like BYD adopting aggressive pricing strategies for autonomous driving features, prompting Huawei to rethink its pricing and sales models [3][5] Group 1: Business Model Evolution - Huawei's previous business models included component sales, full-stack solutions (HI model), and a more consumer-oriented approach (Smart Selection model) [1][2] - The new "HI PLUS" model allows for collaborative development with automakers from the product design stage without entering Huawei's sales channels, increasing automaker autonomy [2] - The shift aims to break the limitations of the Smart Selection model and provide more open cooperation options to automakers [2] Group 2: Market Dynamics and Competition - The autonomous driving market is experiencing a price war, with competitors like BYD offering advanced features at lower prices, leading to a significant drop in market prices [3][4] - Huawei's high-end positioning is being challenged as it faces pressure to lower prices while maintaining quality, similar to the competition between Apple and Android ecosystems [4][5] - The company has been reducing prices for its autonomous driving service packages to attract more users and build a larger data pool, indicating a shift in focus from immediate revenue to long-term user engagement [5][6] Group 3: Sales and Performance Metrics - In the first half of 2025, the domestic automotive market saw a total sales volume of 15.653 million units, with a year-on-year growth of 11.4% [7] - Huawei's smart automotive solutions business reported a revenue of 26.353 billion yuan, a staggering year-on-year increase of 474.4%, marking its first profitable year [8] - Despite strong sales of the AITO series, other models under Huawei's brand are struggling to maintain momentum, highlighting the need for increased sales volume to offset high R&D costs [8][9] Group 4: Strategic Adjustments - Huawei is expanding its partnerships with various automakers, indicating a growing acceptance of its autonomous driving technology across the industry [10] - The company is facing challenges in its current business model, necessitating a shift towards a more flexible approach that allows for greater collaboration and data sharing with automakers [12][13] - The introduction of the "HI PLUS" model reflects Huawei's intent to foster a win-win ecosystem rather than exerting deep control over its partners [13]

Core Insights - The core argument presented by the CTO of Zebra Zhixing is that smart cockpits are becoming a crucial entry point for user experience and the Internet AI ecosystem in smart vehicles, representing a golden track with both technological depth and commercial value [3][4]. Industry Overview - Smart cars are identified as a significant testing ground for Physical AI, with the potential for AI value in physical spaces being more substantial than in digital realms [3]. - The smart cockpit is characterized by three core features: high complexity, high safety, and high commercial value, with Zebra Zhixing having collaborated on over 8 million vehicles to validate the feasibility of large-scale technology applications [3]. Technical Architecture - The smart cockpit's five-layer integration architecture includes: 1. Chip and computing power layer, centered around companies like NVIDIA and Qualcomm. 2. System layer, led by companies such as Zebra Zhixing and Huawei, providing efficient system-level services. 3. Large model layer, integrating general and vehicle-specific models to address multi-modal processing and data privacy. 4. Intelligent agent layer, responsible for central decision-making and service module coordination. 5. Platform service layer, enabling AI-native services through natural language interaction [4]. Development Phases - The development of smart cockpits is categorized into three phases: 1. "Verification Period" (2024 to early 2025) focusing on whether large models can be integrated into vehicles. 2. "Application Period" (2025) emphasizing the implementation of intelligent agent systems for practical service delivery. 3. "Reconstruction Period" (current to 2026) where the industry shifts from traditional assembly line architectures to end-to-end models [4][5]. Interaction Experience - The transition from a "passive response" to "active perception" in smart cockpits is highlighted, where intelligent assistants can proactively identify user needs through sensory inputs, evolving from mere tools to supportive partners [5]. - Zebra Zhixing aims to drive the smart cockpit towards a trillion-level commercial market, positioning it as a core hub in the Physical AI ecosystem [5].

Core Insights - The first Aggregated Intelligent Industry Development Conference (2025) was held in Wuhan, focusing on the theme of "Collaborative Integration of Innovation Chains and Industry Chains to Promote the Development of Aggregated Intelligent Industries" [1] - The conference highlighted the potential of smart vehicles, smart robots, and low-altitude flying vehicles as key components of the aggregated intelligent industry, with a projected global market size of nearly $240 billion by 2030, and China's market expected to exceed $120 billion [1] Group 1: Industry Development and Trends - Zhang Yongwei, Chairman of the Car Hundred Association, emphasized the interconnectedness of smart vehicles, robots, and low-altitude flying vehicles, suggesting they could become new engines for China's industrial exports [1] - The conference featured a forum on the aggregated intelligent industry chain, discussing the need for efficient collaboration and addressing technological bottlenecks in the development of smart robots, low-altitude flying vehicles, and smart vehicles [3] - The low-altitude economy is projected to reach a market size of trillions by 2030, with the need for widespread adoption of personal flying vehicles to achieve market breakthroughs [10] Group 2: Technological Innovations and Applications - Experts discussed the importance of integrating AI capabilities in smart vehicles and robots, highlighting the need for advancements in both physical and cognitive functionalities [5][11] - The development of low-altitude transportation is seen as a crucial solution to urban traffic challenges, with electric flying vehicles expected to significantly reduce manufacturing costs and improve efficiency [4] - The conference underscored the necessity of cross-disciplinary collaboration and the establishment of innovation platforms to drive the aggregated intelligent industry's growth [1][9] Group 3: Policy and Market Dynamics - The former deputy director of the National Postal Bureau proposed six directions for promoting the aggregated intelligent industry, including focusing on practical applications and overcoming key challenges such as cost and safety [10] - The integration of the automotive and aviation industries is expected to facilitate rapid cost reduction and efficiency improvements in low-altitude flying vehicles [11] - The conference also highlighted the importance of developing standards and regulations to keep pace with technological advancements in the aggregated intelligent sector [10][12]

Group 1 - The core viewpoint of the article emphasizes that smart cars are a revolutionary terminal in the AI era, characterized by decentralization and technological equity, which will transform social productivity and relationships [1] - The shift in the AI era is moving from "traffic is king" to "product is king," indicating that the value of smart cars will depend on their complexity in helping humans complete tasks rather than user scale [1] - The Robotaxi market is projected to reach a scale of 83.1 billion yuan by 2030 and increase to 709.6 billion yuan by 2035, highlighting significant growth potential in the industry [1] Group 2 - The smart car ETF (159889) tracks the CS Smart Car Index (930721), which selects listed companies involved in smart car terminal perception and platform applications from the Shanghai and Shenzhen markets [1] - The index components cover multiple sub-sectors closely related to the development of smart car technology, including but not limited to autonomous driving and vehicle networking [1] - Key elements in the industry chain include chips, algorithms, and data closed-loop capabilities, with technology providers and operators expected to become the core profit segments [1]