Core Insights - StepFun, a Shanghai-based AI startup, has completed a B+ round financing exceeding 5 billion RMB, setting a record for the largest single financing in China's large model sector in the past 12 months [1] Financing Details - The financing round was backed by various institutional investors, including State Investment Fund, China Life Equity, Pudong Venture Capital, Xuhui Capital, Wuxi Liangxi Fund, Xiamen International Trade, and Huqin Technology, along with follow-on investments from existing shareholders like Tencent and Qiming Venture Partners [1] - The funds raised will be utilized for foundational model research and development, aiming to create a world-class base model and accelerate the implementation of the AI + terminal strategy [1] Leadership Changes - On the same day, StepFun announced the appointment of Yin Qi as the new chairman, who will be responsible for setting the company's strategic direction and technological focus [1]

上海大模型创业公司阶跃星辰（StepFun）完成超50亿人民币B+轮融资，一举刷新过去12个月中国大模 型赛道单笔最高融资纪录。参与机构包括上国投先导基金、国寿股权、浦东创投、徐汇资本、无锡梁溪 基金、厦门国贸、华勤技术等产业投资人，腾讯、启明、五源等老股东进一步跟投。本轮融资将用于基 础模型研发，打造全球顶尖基座模型，加速AI+终端战略落地。 ...

Core Insights - The third National Artificial Intelligence Application Scenario Innovation Challenge Finals and the National AI + Application Scenario Innovation Conference were held in Suzhou, featuring 113 top innovative teams from both domestic and international backgrounds [1] - The event released several key reports, including the "2025 National AI Application Scenario Innovation TOP10 Best Practice Cities Report," the "National AI Application Scenario Innovation 100 Directory," and the "National AI High-Value Application Scenario Demonstration Enterprises TOP50 List" [1] Group 1 - The event was co-hosted by the Chinese Association for Artificial Intelligence (CAAI), the Suzhou Municipal Government, and Soochow University, with support from the Gusu District Government [1] - The competition focused on key areas such as large models, generative AI, low-altitude economy, and embodied intelligence, emphasizing a "scenario-driven, digital intelligence strong nation" theme [1] - The competition utilized a three-tier system consisting of online selection, specialized advancement, and a national final, with 49 scenario-specific competitions covering 15 provinces and cities, attracting over 3,250 teams from around the world [1]

Group 1 - The third National Artificial Intelligence Application Scenario Innovation Challenge (CICAS) concluded in Suzhou, with 93 teams winning awards, including 12 special prizes, 36 first prizes, and 45 second prizes [1] - Notable projects awarded in the special prize categories include an intelligent amphibious transport system and a multi-source panoramic visual perception system [1] - The event recognized 20 typical cases of national AI application scenarios, 10 excellent organizational awards, and 14 outstanding instructor awards [1] Group 2 - Three authoritative reports were released, including the "2025 National AI Application Scenario Innovation TOP10 Best Practice Cities Report," which highlights differentiated development paths of leading cities like Beijing, Shenzhen, and Shanghai [2] - The "National AI Application Scenario Innovation 100 Directory List" systematically outlines 100 high-value scenarios across five major fields, including smart manufacturing and healthcare [2] - The "National AI High-Value Application Scenario Demonstration Enterprises TOP50 List" identifies 50 benchmark enterprises through a multi-dimensional evaluation system [2] Group 3 - CICAS serves as a benchmark event for AI application scenario innovation and technology commercialization, focusing on key areas such as large models, generative AI, and embodied intelligence [2] - The competition aims to explore a development path driven by demand for research and development, application driven by scenarios, and ecosystem empowerment for industries [2] - The event facilitates deep integration of AI enterprises with the real economy across innovation, funding, talent, and industry chains, contributing to the development of the digital economy and new productive forces [2]

本文字数：1398，阅读时长大约2分钟 2026.01. 25 作者 | 第一财经 金叶子 随着人工智能的不断发展，科研和产业界对垂直领域的大模型提出更高需求。 1月25日下午，上海交通大学正式发布光学领域垂直大语言模型——Optics GPT（光学大模型），标 志着我国在人工智能与硬科技交叉融合领域取得重要突破。 该模型如同一位"虚拟光学专家"，能够深度理解光学原理，为科研、设计与教学提供智能化支持。 当前，通用人工智能模型虽功能强大，却难以深入理解如光学等需要深厚专业知识与精密计算的硬科 技领域。上海交通大学"光生未来"项目组打造的这款"光学原生"的专业模型，并非简单改造通用模 型，而是从光学专业数据中"成长"而来，系统学习了光通信、光学设计等领域的核心知识与设计逻 辑。 通俗来讲，如果说ChatGPT这样的通用大模型是"博学的通才"，那么Optics GPT则是"资深的专 才"。它集中精力深度学习一个特定领域的全部知识，从而在该领域内回答更专业、解决更具体的问 题，可靠性也更强。这就像培养一位光学专业的博士生，使其成为该领域的AI专家。 作为完全自研的国产模型，光学大模型具备鲜明的"四大特点"：轻部署、 ...

Group 1 - The core viewpoint of the article emphasizes the increasing efforts across various regions to cultivate the "first launch economy," continuously enriching and expanding new business formats to stimulate consumer vitality [1][9][11]. Group 2 - In Guizhou, the first robot 6S store has opened in Guiyang, showcasing over a hundred cutting-edge service and educational robots, allowing citizens to experience the service functions and industry development trends firsthand. This year, Guiyang plans to introduce over 100 new first stores focusing on data labeling, AI intelligence, and large models [3]. Group 3 - Inner Mongolia is enhancing the development of experiential new business formats and rich new scenarios. In Hohhot, a newly created sports park has attracted many citizens, integrating shopping with sports and leisure experiences. Baotou plans to add over 20 various brand first stores, flagship stores, and innovative concept stores this year [5]. Group 4 - Shaanxi is exploring an innovative model of "intangible cultural heritage + shopping malls + street blocks," planning to introduce a batch of first stores from Northwest and nationwide. In the Xi'an Xiaozhai business district, local authorities are providing merchants with design autonomy, along with incentives such as settling rewards and renovation subsidies to attract more first stores [7]. Group 5 - Hebei is focusing on ten sectors including catering, culture, food, and exhibitions, creating 28 multi-format integrated consumption scenarios such as pedestrian streets, sports events, and health tourism to continuously stimulate the vitality of the first launch economy [9]. Group 6 - In Shanghai, many new first stores and flagship stores are being transformed with local characteristics, enhancing store designs and product offerings, turning traditional streets into trendy fashion landmarks. This year, Shanghai will introduce special support policies to accelerate the development of the first launch economy, focusing on attracting global food brands and creating international food districts and "food +" experience scenarios and activities [11].

Group 1 - The third National Artificial Intelligence Application Scenario Innovation Challenge finals revealed 113 teams showcasing innovative results in the "AI+" field [1] - The competition attracted over 3,250 teams from both domestic and international participants, with 113 innovative teams advancing to the finals [1] - A total of 12 teams were awarded special prizes through various evaluation methods including data set assessments and functional tests [1] Group 2 - The National "AI+" Application Scenario Innovation Conference released the "National Artificial Intelligence Application Scenario Innovation 100 Directory List," outlining 100 high-value scenarios across five major fields including intelligent manufacturing and smart healthcare [5] - This directory serves as a significant support for exploring application driven by scenarios [5] Group 3 - A project presented by a doctoral student from Huazhong University of Science and Technology focuses on an edge AI intelligent human-machine collaborative operation and maintenance system, likened to a "robot doctor" for industrial equipment [3]

Group 1 - The new year sees various regions intensifying efforts to cultivate the "first launch economy," continuously enriching and expanding new business formats to stimulate consumer vitality [2] - Guizhou's first robot 6S store has opened in Guiyang, showcasing over a hundred cutting-edge service and educational robots, with plans to introduce more than 100 first stores this year [4] - Inner Mongolia is enhancing the development of experiential new business formats, with over 20 new brand flagship and concept stores planned in Baotou this year [6] Group 2 - Shaanxi is exploring an innovative model combining "intangible cultural heritage + shopping malls + districts," with over 80% of new trendy brand stores in Xi'an's Xiaozhai business circle [8] - Hebei is focusing on ten sectors including dining and culture, creating 28 multi-format consumption scenarios to continuously invigorate the first launch economy [10] - Shanghai is transforming traditional streets into trendy landmarks, with plans to introduce international food brands and support policies for new consumption formats and experiences [12][14]

Core Insights - The report provides a comprehensive analysis of the current state and trends of financial intelligent agents in China, emphasizing their development driven by technological breakthroughs, business innovation, and policy support [1][2]. Group 1: Driving Factors - Technological breakthroughs are addressing the "last mile" challenges in the application of large models, enhancing their task execution capabilities through advancements in tools and frameworks [6]. - Approximately 33% of financial institutions are actively investing in intelligent agents, indicating a growing recognition of their practical value [7]. - Policy support is guiding the application and development of intelligent agents in finance, with clear directives and funding allocations for AI technologies [8]. Group 2: Current Industry Cycle - The financial intelligent agent industry is in its initial exploration phase, with 96% of applications still in the proof of concept or pilot stages, and only 4% in agile practice [12]. - The majority of intelligent agent applications are focused on operational functions, such as knowledge Q&A and office assistance, with expectations of transitioning to agile practice within 1-2 years [16]. - Financial institutions are exploring two main deployment paths: embedding intelligent agent functions into existing systems and developing independent intelligent agent applications [18]. Group 3: Market Distribution - The banking sector accounts for 43% of the financial intelligent agent market, followed by asset management at 27% and insurance at 15% [25][26]. - The demand for intelligent agents in asset management is driven by needs in research and analysis, while insurance focuses on underwriting and customer service [25]. Group 4: Project Financials - The investment scale for intelligent agent platforms and applications in 2025 is projected to reach 950 million yuan, with a compound annual growth rate of 82.6% expected by 2030 [35]. - Most intelligent agent application projects are concentrated in the 300,000 to 1.5 million yuan range, reflecting a cautious approach to investment [31]. Group 5: Business Models - The market for intelligent agents features two primary business models: product delivery, which involves selling software products, and value delivery, which ties fees to business outcomes [39][42]. - The value delivery model presents significant market potential but requires high capabilities from service providers to ensure effective integration into client business processes [39]. Group 6: Challenges and Opportunities - The current market is characterized by high expectations versus the reality of exploration phase challenges, necessitating careful management of client expectations to maintain trust [43]. - Financial institutions are increasingly focused on the value assessment of intelligent agents, with a shift towards evaluating their potential to drive sustainable business growth and enhance customer experience [53][73]. Group 7: Future Trends - As the industry transitions from the initial exploration phase to agile practice, financial institutions are expected to adopt a more strategic approach to deploying intelligent agents, emphasizing long-term value creation [80]. - Establishing an AI Agent Strategy Office (ASO) is recommended for financial institutions to manage intelligent agent applications systematically and ensure continuous value feedback [80].

Economic Overview - In 2025, China's GDP reached 140,187.9 billion yuan, marking a 5% year-on-year growth, achieving a significant milestone [3] - The economic performance is characterized by resilience and vitality despite facing pressures from international competition, trade wars, and domestic challenges [3][4] Structural Changes - China's economy is transitioning towards new and upgraded development, with traditional industries accelerating their transformation and emerging industries like quantum computing and AI gaining momentum [4] - Active fiscal policies and moderately loose monetary policies have played a crucial role in maintaining market vitality [4] Trade and Openness - In 2025, China's total import and export value reached 454,687 billion yuan, reflecting a 3.8% increase, marking the ninth consecutive year of growth [8] - China's export potential remains strong due to international demand and ongoing improvements in trade environment, including the signing of the upgraded China-ASEAN Free Trade Area agreement [8][9] Real Estate Market - The real estate market in 2025 showed signs of stabilization, with transaction volumes stabilizing and inventory levels decreasing [6] - The completion of housing delivery tasks marked a significant milestone, reducing risks associated with high debt and leverage in the sector [6] Consumer Spending - Retail sales of consumer goods surpassed 50 trillion yuan, growing by 3.7%, with final consumption contributing 52% to economic growth, an increase of 5 percentage points from the previous year [7] - The focus on investing in human capital, such as education and healthcare, is seen as essential for unlocking long-term consumption potential [7] New Productive Forces - New productive forces are identified as a key driver in the transition towards a new and superior economic model, enhancing industrial structure and export competitiveness [10] - Financial support for new productive forces has been increasing, with a need for further optimization in direct financing and the establishment of industry investment funds [10]