2026年的1月份，国内的AI界发生了几件大事： 1月2日，GPU公司壁仞科技登陆港交所，成为港股国产GPU第一股，并且成为港交所《上市规则》第18C章（特专科技）启用以来，募资规模最大的IPO 项目； 1月9日，MiniMax（上海稀宇科技）登陆港交所，不仅创下了全球AI公司从创立到上市的最短时间记录，而且打破了快手上市创下的科技公司超购记录， 而且还是全球第一家市值突破千亿的原生AI公司。MiniMax上市，被称为是中国大模型企业在全球舞台上的"定价"时刻； 1月14日，中国汽车工业协会发布的《2025城市NOA汽车辅助驾驶研究报告》。报告显示，Momenta城市NOA搭载量41.44万辆，占第三方供应商比例约 61.06%，处于断崖式领先，其产品不但覆盖国内主流乘用车企业，且与全球排名前10大车企中的8家开展合作。 壁仞科技，MiniMax，Momenta的共同点，是这三家AI翘楚公司的创始人,均出自商汤科技。 然而，商汤前员工风光无限的同时，被称为AI时代黄埔军校的商汤，自己却被边缘化了。 成立于2014年的商汤，曾经是以图像识别为特征的AI 1.0时代的"四小龙"之首，2021年上市前共完成12轮融 ...

中新网天津1月28日电 (记者 夏宾)重量仅990克、开机只要9秒、整机续航可超10小时......2026年天津市 两会于此间举行，天津市人大代表郭御风将一台搭载着最新移动计算CPU的长城笔记本电脑带上了大 会。 天津市人大代表郭御风接受中新网记者采访。夏宾 摄。 这款CPU正是"出厂"自郭御风就职的飞腾信息技术有限公司(下称"飞腾")。据他介绍，上述电脑性能得 益于国产芯片的高集成度与低功耗设计，标志着国产芯片与整机从"可用"向"好用"迈出了关键一步。 据今年天津市政府工作报告，其将在信创等特色领域体现天津价值支撑，在智算芯片等关键技术方面实 现突破。天津是中国信创产业链布局最为完整的城市之一，"十四五"期间，其信创产业规模年均增速超 10%，培育形成了以飞腾、麒麟、海光、中科曙光等为代表的领军企业。 《中共中央关于制定国民经济和社会发展第十五个五年规划的建议》提出，完善新型举国体制，采取超 常规措施，全链条推动集成电路等重点领域关键核心技术攻关取得决定性突破。 郭御风说，"超常规措施"的提出，意味着国家决心打破常规路径依赖，以举国之力攻克最硬的"堡垒"。 郭御风透露，飞腾计划未来五年研发总投入超百亿元人 ...

（来源：衢州日报） 转自：衢州日报 长板引领突破，锻长板是实现弯道超车的破局之道。 近年来我们发挥新型举国体制优势，关键核心技术攻关突围，正是竹竿效应的投射。人工智能大模型你 追我赶、芯片自主研发有了新突破、天问二号开启"追星"之旅……重大科技成果，离不开有为政府与有 效市场的有机结合。面对关键技术、前沿领域的对垒，抢机遇、扬优势才能占先机、赢未来。 健康的发展系统，要有坚实底座，也要有高耸塔尖。经济社会发展，更是木桶效应与竹竿效应互动互补 的过程——以木桶效应筑牢发展根基，以竹竿效应激活增长动能，协同发力促新向优。 比如，区域协调中，均衡与特色不可偏废。长三角一体化，交通互联、数据共享、机制互通，逐步实现 公共服务的"木桶均衡"；粤港澳大湾区，着力放大科技创新、金融服务的长板优势，提升全球竞争力 的"竹竿高度"。不同侧重，殊途同归——认准定位，把握优长，精准发力，在资源配置中做到均衡为 基、"拔节"为要。 李洪兴 面对考试，一门课丢分，都影响总分；着眼今后，把一项做到最好，就是满分……以木桶效应与竹竿效 应为喻，一位老师鼓励同学专注热爱、做深做透。课堂上的新"劝学篇"，引人思考。 木桶装水看短板，竹竿取物凭 ...

Core Insights - Alibaba has launched its flagship reasoning model Qwen3-Max-Thinking, which is the largest and most powerful model in its series, boasting over 1 trillion parameters and a pre-training data volume of 36 trillion tokens [1][6]. Model Performance - The new model has achieved significant performance improvements, setting global records in key benchmarks related to scientific knowledge, mathematical reasoning, and code programming [3]. - Qwen3-Max-Thinking employs a novel Test-time Scaling mechanism that enhances reasoning performance while being more economical compared to traditional methods, which often lead to redundant reasoning [4]. Reasoning Efficiency - The innovative reasoning technology allows for "experience extraction" from previous results, enabling more efficient multi-round self-iteration within the same context, resulting in smarter reasoning outcomes [4]. - In the "Human Last Evaluation" (HLE) test, Qwen scored 58.3, surpassing GPT-5.2-Thinking's score of 45.5 and Gemini 3 Pro's score of 45.8, marking the highest score among all models [4]. Tool Utilization - Qwen3-Max-Thinking has significantly enhanced its native agent capabilities for autonomous tool usage, allowing it to intelligently combine tools for various tasks [5]. - The model has undergone joint reinforcement learning training based on rule rewards and model rewards, improving its ability to think while using tools [5]. Accessibility - Developers can experience Qwen3-Max-Thinking for free on QwenChat, while enterprises can access the new model's API services through Alibaba Cloud [7]. - The Qwen app is set to integrate the new model, allowing all users to experience the strongest model for free [7].

Group 1 - The representatives attending the provincial people's congress are preparing to discuss key issues and suggestions for the upcoming meeting, emphasizing their responsibility to the public [1][2] - This year marks the beginning of the "14th Five-Year Plan," and representatives have conducted extensive grassroots research to gather public opinions and insights [2] - Suggestions from representatives include promoting new production capabilities, advocating for green agricultural practices, and enhancing the talent ecosystem for high-tech enterprises [2] Group 2 - Specific proposals include developing the low-altitude economy, improving the business environment, and supporting the integration of culture, sports, and tourism [2] - There is a focus on local regulations to promote the development of the private economy and the application of artificial intelligence in various industries [2] - The representatives' suggestions reflect a commitment to addressing urgent reform needs and public expectations [2]

Group 1 - Dongfeng Motor is focusing on technological innovation and product upgrades to meet market demands and create user value as a key operational priority [2] - The vehicle trade-in policy is seen as a significant driver for market growth, with its effectiveness stemming from the collaboration between supply and demand [2] - Dongfeng Motor aims to build a brand structure that covers various market segments, projecting sales of 1.04 million new energy vehicles by 2025, a year-on-year increase of 21%, and over 1.5 million for its self-owned brands, with a growth rate exceeding 9% [2] Group 2 - As a major state-owned automotive enterprise, Dongfeng Motor's operational trends are viewed as a barometer for industry development [3] - The core challenge for traditional automakers is to achieve brand elevation and market breakthroughs through electrification and intelligent transformation during the 14th Five-Year Plan period [3] - Dongfeng Motor's insights on technological innovation and market strategy reflect the evolving policies and market environment, which will significantly impact the health of the industry chain and the release of consumer potential [3]

Market Overview - The market experienced a rebound with all three major indices rising, driven by strong performances in the commercial aerospace sector, oil and gas stocks, and PCB (Printed Circuit Board) sector [1] - Over 3,500 stocks in the Shanghai and Shenzhen markets saw gains, with a total trading volume of 2.72 trillion [1] Aerospace Sector - The aerospace sector saw significant gains, with multiple stocks such as Galaxy Electronics, Giant Lifting, and China First Heavy Industries hitting the daily limit [4][5] - Elon Musk is actively pushing for SpaceX's IPO, aiming for completion by July this year [4][5] - Analysts predict that SpaceX could dominate 99% of the global orbital payload capacity by 2026, reshaping the space economy [6] Oil Services Sector - The oil services sector surged, with stocks like Intercontinental Oil and Renji Holdings reaching their daily limits [7][8] - The International Energy Agency (IEA) raised its forecast for global oil demand growth in 2026 to 930,000 barrels per day, up from a previous estimate of 860,000 barrels per day [7] - The oil services industry is expected to benefit from increased capital expenditure, projected to reach $66.3 billion and $68.3 billion in 2025 and 2026, respectively, with growth rates of 10% and 3.2% [8] PCB Sector - The PCB sector experienced a strong rally, with stocks like Jin'an International and Honghe Technology hitting their daily limits [9][10] - Jin'an Guoji announced a projected net profit of 280 million to 360 million for 2025, representing a year-on-year increase of 655.53% to 871.40% [9] - Due to supply constraints and rising prices of raw materials, Japanese semiconductor material manufacturers are increasing prices of PCB materials by over 30% starting March 1 [9] Robotics Sector - The robotics sector showed active performance, with several stocks experiencing gains [11] Semiconductor Sector - The semiconductor sector faced declines, with stocks like Blue Arrow Electronics dropping nearly 10% [1][11]

Group 1 - The central government emphasizes the importance of balancing development and regulation in the platform economy, aiming to enhance the governance system and regulatory standards [1] - The State Administration for Market Regulation has initiated an investigation into Ctrip Group for alleged monopolistic behavior, marking a significant step in promoting fair competition in the digital market [1][2] - The investigation reflects the government's strong stance against monopolistic practices and its commitment to creating a fair competitive environment for various business entities [2] Group 2 - The online travel and accommodation industry is a crucial sector within the platform economy, facing issues such as forced exclusive partnerships and price manipulation, which have raised public concern [3] - The platform economy ecosystem consists of platform enterprises, operators, and consumers, with the need for platforms to consider the interests of all stakeholders to ensure sustainable development [3] - The investigation serves as a response to long-standing concerns and aims to foster a win-win ecosystem that promotes healthy development in the platform economy [3] Group 3 - The revised Anti-Monopoly Law in 2022 includes "encouraging innovation" as a legislative goal, aiming to shift large platform enterprises from a focus on scale to one on technological innovation and service optimization [4] - Effective antitrust enforcement is crucial for breaking down monopolistic barriers and preventing companies from stifling innovation through their advantages [4] - The investigation seeks to uncover potential monopolistic behaviors in the online travel industry, aiming to create a more diverse and inclusive innovation ecosystem [4]

Core Viewpoint - The implementation of the "Ecological Environment Monitoring Regulations" starting from January 1 aims to establish a comprehensive ecological environment monitoring network that integrates land and sea, space and ground, and promotes information sharing. Group 1: Remote Sensing Technology - Remote sensing technologies, represented by satellites and drones, have unique advantages such as high precision, short cycles, and comprehensive coverage, making them indispensable in ecological monitoring and protection [1][2] - The Ministry of Ecology and Environment has significantly enhanced satellite remote sensing capabilities since the 14th Five-Year Plan, currently operating 7 ecological environment satellites to form a multi-satellite monitoring system [1] Group 2: Habitat Monitoring - High-frequency satellite data serves as a powerful tool for low-cost detection of habitat destruction, enabling timely monitoring of human activities within important habitats [2] - The introduction of domestically produced high-resolution satellite data has led to a reduction of 28,000 square kilometers in the suitable habitat range for snow leopards, providing precise spatial data for conservation planning [2] Group 3: Drone Applications - Drones are widely used in ecological monitoring due to their flexibility, high resolution, efficiency, and low cost, bridging the gap between ground surveys and satellite remote sensing [2] - In Inner Mongolia, drones can automatically collect grassland species data and transmit high-definition images in real-time, achieving an identification accuracy of 88.6% for various plant species [3] Group 4: Emerging Technologies - New technological tools are continuously emerging, such as medium fixed-wing drones with over 4 hours of endurance and specialized payloads for detailed habitat information, and multifunctional ecological patrol vehicles for wildlife monitoring [3][4] - The future will see further integration of remote sensing technology with artificial intelligence, enhancing the clarity and intelligence of ecological monitoring systems [4]

Core Viewpoint - The integration of local enterprise credit institutions into data groups is becoming a trend, aiming to enhance the efficiency of data resource allocation and create market-oriented credit products in the context of the 2026 "Year of Data Element Value Release" [1][4]. Group 1: Integration of Credit Institutions - The newly established Guangxi Data Group completed 100% control of Guangxi Credit Company by the end of December 2025, marking a significant step in integrating local credit institutions into data groups [1][2]. - The model of "one group, one exchange, one credit platform" is expected to emerge as a new trend in local data market development, facilitating the precise matching of data resources and application scenarios [1][3]. Group 2: Financial Resource Mobilization - Guangxi Data Group's shareholders include various financial-related companies, which will help mobilize financial resources across the region and enhance the data resources of the integrated credit institutions [2][3]. - The integration allows for better utilization of public data resources, breaking down data silos and enhancing the efficiency of data element release [4][5]. Group 3: Policy Support and Market Transformation - The central government has emphasized the establishment of a public data authorization operation mechanism, which supports the integration of credit institutions into data groups for better performance in financial application scenarios [3][5]. - The People's Bank of China is promoting the market-oriented transformation of local credit platforms, encouraging institutions with data, technology, and market capabilities to enter the enterprise credit market [5][6]. Group 4: Data Utilization and Application - Local credit institutions are focusing on gathering and processing credit information, with examples like Wuxi Enterprise Credit having collected around 2 billion data entries, which will be further utilized through public data authorization [3][6]. - The development of credit databases and the application of AI technology are being prioritized to address issues such as financing difficulties for small and medium-sized enterprises [6][7].