新近开业的股份制银行系金融资产投资公司（AIC），正以市场化债转股为核心工具，成为支持科技创 新的"耐心资本"。自2025年11月开业以来，兴银投资、招银投资、信银金投在短时间内便完成了首批项 目落地，将资金精准引至新能源、新材料等领域。其中，仅兴银投资一家，截至2025年12月31日，累计 投放规模就超60亿元，顺利落地首批10余个投资项目。 新华财经北京1月6日电四大证券报内容精华摘要如下： 中国证券报 ·证监会：持续增强财务造假综合惩防效率效果 证监会1月5日召开资本市场财务造假综合惩防体系跨部门工作推进座谈会。会议指出，党中央国务院高 度重视资本市场稳定健康发展，要充分认识财务造假背后的利益驱动和长期性复杂性，进一步坚定信 心，强化监管合力，继续共同扛起打击和防范资本市场财务造假的政治责任。证监会将继续主动积极会 同各部门以更实的举措持续增强综合惩防效率效果，不断推动提升上市公司质量和投资价值，有效保护 投资者合法权益，全力护航资本市场高质量发展，为中国式现代化贡献力量。 ·开业月余三家股份行AIC密集投向"硬科技" ·脑机接口板块领涨市场上证指数"十二连阳" 1月5日，A股市场放量走强，在2026年 ...

Market Overview - The average daily foot traffic for the integrated store, including 3C and large appliances, ranges from 200 to 500 customers, with weekends seeing up to 1,000. However, foot traffic in December decreased by approximately 20% compared to previous months, indicating a higher level of customer hesitation as the year ends [1] - Customers transitioning from competitors like Tesla or Xiaopeng are often more decisive, with a strong conversion rate attributed to product appeal and brand recognition [1] Sales Insights - In mid-December, manufacturers offered exhibition and current vehicle policies, with standard models having a waiting time of over 30 weeks, while Pro and Max configurations could be delivered in about one month under specific conditions. The standard version remains the best seller, accounting for 50% of sales, while Pro and Max configurations make up 40% and 10%, respectively [2] - The most challenging colors to sell are orange and white, with orange now discontinued. White requires a 7,000 yuan optional upgrade, making other colors like purple more appealing to customers [3] Configuration Preferences - The Max configuration, which includes luxury features like electric doors and high-power all-wheel drive, is less popular due to its higher price point. Most customers prefer the Pro model, which has a significantly shorter delivery time of four to six weeks compared to the standard version [4] - The SU7 model has maintained stable policies since its launch, offering an 8,000 yuan Napa leather upgrade and a 26,000 yuan lifetime free updates package for advanced driving assistance, which is appealing to customers who prioritize seat quality [6] Customer Demographics - Approximately 80% of customers are under 40 years old, with over 60% being female. The customer base is diverse, including professionals such as doctors, teachers, and civil servants, with 70% of purchases being replacements or additional vehicles [11] - A notable case involved a 60-year-old executive who switched from Tesla, demonstrating that older customers can also be decisive buyers when they have a clear intention [14] Competitive Landscape - The primary competitors are Tesla, accounting for about 60% of comparisons, with the remaining 40% being domestic electric vehicles like Zeekr, Xiaopeng, and Zhiji. The Model 3 is frequently used as a benchmark for comparisons regarding size, interior luxury, and resale value [11] - A customer who purchased the Pro model reported minimal depreciation, primarily losing only the cost of insurance, while other brands typically see a depreciation rate of around 60-70% after one year [12] Customer Complaints - The main issue reported by customers is the long waiting time for vehicle delivery, which previously ranged from 30 to 50 weeks. Although the wait times have significantly decreased, customer impatience remains a challenge [16]

Core Viewpoint - The article emphasizes that in the pursuit of general physical intelligence, the model serves as the ceiling while the data infrastructure acts as the floor, highlighting the importance of both elements working in tandem to create a competitive barrier [2]. Group 1: Shift in Talent Demand - There has been a noticeable shift in the automatic driving and AI sectors, with a growing emphasis on recruiting talent for "data infrastructure" [3]. - Leading companies like Tesla and Wayve are focusing on extracting data from large-scale fleets to build automatic scoring systems rather than relying solely on manually written rules [4]. - The consensus is that while model algorithms are becoming rapidly replaceable, the foundational infrastructure for data extraction and defining quality remains a significant competitive advantage once established [6]. Group 2: Evolution of Physical AI - The article outlines three evolutionary stages of "Physical AI" using references from popular anime, illustrating the progression from early simulation to advanced world models [8]. - The first stage involves basic simulation and remote teaching, while the second stage incorporates augmented reality, overlaying virtual elements onto the real world [10][12]. - The third stage envisions a world model where AI can train in accelerated time, significantly enhancing learning efficiency [14]. Group 3: Data Infrastructure and World Models - The construction of a robust data infrastructure is essential for translating the chaotic physical world into a comprehensible format for world models [16]. - The article discusses various layers of data processing, including metrics for physical world perception, data classification, and automated evaluation systems [17][21][23]. - The ultimate goal is to create a closed-loop system where real-world data informs and refines AI training, enabling rapid iteration and improvement [18][20]. Group 4: Future of Physical AI - The transition from a "Bug Driven" approach to a "Data Driven" model is crucial for the advancement of physical AI [24]. - The article argues that while models may evolve quickly, the foundational infrastructure for data collection and processing will remain invaluable [27]. - The future development of AI will likely rely on a symbiotic relationship between world models as generators and data infrastructure as discriminators, ensuring that AI systems are grounded in reality [36][38].

Group 1 - Tesla's UK car registrations fell by over 29% year-on-year in December [1] - The decline highlights the intense competition faced by Tesla in the UK electric vehicle market [1]

NVIDIA Conference Call Summary Company Overview - **Company**: NVIDIA (NasdaqGS: NVDA) - **Date**: January 05, 2026 Key Industry Insights - **AI and Computing**: NVIDIA is positioned as a leader in AI computing, emphasizing the importance of co-design across various components such as GPUs, CPUs, and networking technologies to maintain competitive advantages in performance and cost efficiency [8][9][10] - **Autonomous Vehicles**: The company has been working on autonomous vehicle technology for over eight years, with significant partnerships established with major automotive companies like Mercedes, BYD, and Tesla. The autonomous vehicle market is projected to become a multi-billion dollar business by the end of the decade [22][24][25] - **Supply Chain Management**: NVIDIA has strategically prepared its supply chain to support rapid growth, including significant investments in DRAM and partnerships with various suppliers to ensure robust supply availability [35][36][37] Core Company Developments - **Vera Rubin Production**: NVIDIA is in full production of its Vera Rubin architecture, which is expected to ramp up quickly. This architecture features entirely new chips, presenting unique challenges and opportunities for performance improvements [19][60][66] - **Grok Licensing**: The company is exploring specialized data processing capabilities, indicating a shift towards more ASIC-like chips for specific applications, which may influence future product roadmaps [11][12] - **DGX Cloud Strategy**: NVIDIA's DGX Cloud is designed to support AI-native companies and facilitate partnerships with cloud service providers, enhancing customer acquisition and ecosystem growth [46][49][50] Financial Performance and Market Position - **Strong Demand**: The company reports strong demand across its product lines, indicating a healthy growth trajectory. The CEO humorously noted the positive business performance reflected in his choice of attire during the conference [28][44] - **Token Economics**: NVIDIA's platform is now the only one capable of running every major AI model, positioning it favorably in the competitive landscape of AI computing [31][32] Emerging Technologies and Innovations - **Context Memory Storage**: NVIDIA is focusing on developing high-performance storage solutions tailored for AI applications, which are expected to become a significant market segment [54][55][56] - **Agentic AI Systems**: The company is advancing in the development of agentic AI systems, which are expected to simplify the deployment of AI applications and enhance user interaction with AI technologies [76][78] Additional Considerations - **Market Fragmentation**: The future of the frontier model market may see consolidation as companies optimize for specific domains, leading to a clearer distinction between general-purpose and specialized AI models [69][70][71] - **Long-Term Vision**: NVIDIA's strategy emphasizes tackling complex challenges in AI and computing, with a focus on long-term growth and innovation rather than short-term gains [25][27][64] This summary encapsulates the key points discussed during the NVIDIA conference call, highlighting the company's strategic direction, market positioning, and technological advancements.

Group 1 - Premier Li Qiang emphasized the need for deepening reforms in key areas, enhancing service efficiency, and optimizing the business environment to stimulate economic growth [1] - The Ministry of Commerce and nine other departments issued a notice on promoting green consumption, outlining 20 specific measures across various sectors, including agricultural products and home appliances, to foster a green low-carbon lifestyle [1] - The China Securities Regulatory Commission held a meeting to discuss the comprehensive prevention and punishment system for financial fraud in the capital market, highlighting the need for improved institutional safeguards and enhanced coordination among administrative, criminal, and civil measures [1] Group 2 - GAC Group signed a comprehensive cooperation framework agreement with Huawei to jointly innovate in areas such as the HarmonyOS ecosystem and AI, aiming to create competitive smart mobility solutions [1] - The China Passenger Car Association reported that in December 2025, wholesale sales of new energy passenger vehicles reached 1.57 million units, a year-on-year increase of 4% [1] - The China Logistics and Purchasing Federation announced that the commodity price index for December 2025 was 117.9 points, marking a 3.2% month-on-month increase and the highest level since June 2024 [1] Group 3 - Companies such as Huayou Cobalt and Chifeng Jilong Gold reported significant projected net profit increases for 2025, with estimates ranging from 40.8% to 150% year-on-year [6] - XCMG Group received a project notification worth approximately 7.8 billion yuan, while subsidiaries of Fulin Precision and Weigao Medical announced substantial investment plans totaling 8.5 billion yuan [6] - Zhejiang Mining plans to acquire Alaigyr Company, which holds core assets in Kazakhstan's Karaganda region, focusing on lead and silver mining [6]

中国智能驾驶的普及进程，在2025年迎来关键阶段：正式从"量产蓄力"迈入"规模爆发"的新周期。 行业数据显示，2025年前10个月，国内乘用车城市NOA硬件预埋与标配总搭载量达239.2万辆，同比增 长62.8%，渗透率持续快速提升。曾经主要用于高端车型的城市NOA功能，正加速走向更多普通消费 者，成为大众化、普及型的核心配置。在这一规模化普及的浪潮中，以Momenta、华为为代表的第三方 智驾供应商凭借领先的技术与规模优势，不仅在国内市场取得领先优势，也逐步获得全球汽车品牌的认 可与合作，推动着中国智能驾驶供应链全球竞争力跃升。 2025年，城市NOA的规模化渗透呈现加速态势，其背后是技术成熟、供给增加与需求觉醒的三重共 振。自主品牌是推动渗透的核心引擎，比亚迪、吉利、奇瑞等头部车企通过"主力车型标配"策略，将高 阶智驾功能从30万元以上市场快速下沉至20万元乃至15万元级车型，实现了技术普及与市场教育的双重 目标。 与此同时，合资品牌厚积薄发，丰田、日产、梅赛德斯-奔驰、宝马等全球品牌纷纷选择与Momenta等 中国头部智驾供应商合作，加速智能化转型，以丰田铂智3X为代表的多款搭载先进城市NOA的车型， ...

来源：金石杂谈 1月5日消息，今天一则消息彻底刷屏，在社区平台一条"传长安汽车宣布停发年终奖，员工炸锅"的帖子 直接上了热搜榜第四名。 根据社区平台消息，一张聊天截图显示：鉴于今年公司销量、利润率等指标未完成年度目标，所以今年 没有年终激励奖。但是，公司考虑到各位员工的辛苦付出，2月过年前会有一个相应激励，但这哪是没 有相关方案，具体激励等通知。 消息一出，市场纷纷猜测是哪家车企？有网友直言：长安，你直接报我名字好了。新浪科技报道，传长 安汽车因2025年销量未达目标而取消员工年终奖引发不满。针对传闻，截至发稿前，长安汽车方面暂无 回应。 而在社区平台，不少长安汽车纷纷吐槽：对员工不好的公司，产品能好到哪去？这一波堪比当初的价格 背刺老客户。 还有备注为长安汽车的员工表示：忍一时越想越气，退一步越想越亏。入职前说的起步15薪，月度工资 还砍了点，现在剩下的3薪不发了，工作几年工资倒退。 据网友透露，长安汽车一般年终奖是1-10个月，技术岗能拿到5个月，核心员工能拿到10万+。据悉，去 年长安汽车员工能拿到平均4.8个月薪资的年终奖。而今年只剩下安慰奖了，一人1000元的阳光普照 吗？ 同行来看，长城早就改成双 ...

编辑丨安安 1月5日，据乘联会最新统计数据，特斯拉上海超级工厂在2025年12月交付量超9.71万台，环比增长11%，为2025年最高月份。 作者丨彭鑫 2025年 12月 2024年 12月 2025年 12月 2025年 11月 ...

DETROIT--(BUSINESS WIRE)-- #FinishedVehicleLogistics--Precision Vehicle Solutions selected to operate finished vehicle logistics at Ford's Kentucky Truck Plant. ...