（文章来源：证券日报） 证券日报网讯 1月29日，汉得信息在互动平台回答投资者提问时表示，公司自研的"得·灵"B端AI应用及 产品体系，其中的"灵猿"大圣AI中台链接百模，帮助企业快速接入多模型的同时通过预置成型应用组件 和丰富的AI编排功能，支持高效搭建个性化应用。"灵策"配套服务为企业提供AI咨询规划、企业私有模 型训练、AI应用定制开发的系列服务，打造企业个性化的数字大脑。企业级一站式大模型训练与管理 平台"灵炼"则通过数据集管理、算力管理、模型精调、推理部署与评测等端到端的能力赋能体系，全面 支撑企业AI模型开发与落地。还有"灵手"业务智能体系列、"灵睿"垂直模型系列分别提供的一批成型的 业务场景AI智能体、多行业领域垂类模型，逐步推出商用。上述"得·灵"的应用及产品能够支持企业在 制造、营销、财务、供应链领域的AI场景化解决方案落地，公司暂未直接涉及具身智能领域。 ...

（文章来源：证券日报） 证券日报网讯 1月29日，汉得信息在互动平台回答投资者提问时表示，公司控股子公司鼎医信息是医院 运营管理数智化产品及解决方案提供商，依托于成熟的HRP技术底座，专注于医院运营管理领域，提供 涵盖医院的药品、高低值物资、设备、财务核算、成本分析、费用、预算、人事、薪酬、绩效管理、科 研经费等核心运营管理业务场景的产品及服务。其中，鼎医信息通过AI能力，构建门户助手、智能客 服、智能问数、智能指引、智能交互等多个医院智慧财务智能体，已在多家医院落地，帮助企业客户实 现医疗财务数据的智能分析、风险防控与流程自动化，助力医院降本增效与合规管理。 ...

Group 1 - The core viewpoint of the articles highlights the increasing demand for AI-driven cloud computing services, leading to a tightening supply-demand dynamic in the computing power sector, which is reflected in rising prices from major cloud providers [8][11]. - The "算力ETF" (Computing Power ETF) has seen significant inflows, with over 1.4 billion yuan accumulated in the last ten days, indicating strong investor interest in the sector [1]. - Major tech companies like Microsoft, Meta, and others have reported impressive cloud revenue, with Microsoft achieving $50 billion in cloud revenue for the second fiscal quarter, surpassing analyst expectations [4]. Group 2 - Clawdbot, an open-source AI assistant, has gained significant attention, with deployment support from Tencent Cloud and Alibaba Cloud, indicating a shift towards more personalized AI applications [3][6]. - The pricing strategies of leading cloud providers, such as Google and AWS, have been adjusted upwards, reflecting the increased costs associated with AI training and inference demands [8][9]. - The computing power supply chain is experiencing inflation, with projections indicating significant price increases for DRAM and NAND storage, as well as CPU products, driven by AI demand [9][10]. Group 3 - The rapid growth in token usage for AI models, particularly from OpenAI and Google, suggests a burgeoning market for AI applications across various sectors, with daily token calls reaching unprecedented levels [10]. - The anticipated rise in AI model applications is expected to further drive demand for computing resources, benefiting companies involved in hardware, cloud services, and AI development [11]. - The computing power ETF, 汇添富 (159273), is positioned to capture the growth opportunities in the AI-driven cloud computing market, covering a wide range of sectors including hardware, IT services, and data center operations [12].

证券日报网讯1月28日，汉得信息（300170）在互动平台回答投资者提问时表示，公司截至2025年12月 31日及截至2026年1月9日的股东，四舍五入均约为12.9万户。 ...

Investment Rating - The report rates the computer industry as "Overweight," indicating that the industry is expected to outperform the overall market [9]. Core Insights - Clawdbot signifies a transition in AI product forms from "scene-level assistants" to "system-level Agent platforms," emphasizing comprehensive execution capabilities across tools and systems [3]. - The evolution of Agents is marked by a clear path from Skills to Claude Excel and Clawdbot, shifting market focus from model parameters to the ability to execute complex tasks and integrate external tools [3]. - Clawdbot's revolutionary aspect lies in its ability to understand high-level user intentions and autonomously break them down into ordered steps, enhancing automation in complex workflows [3]. - The deployment of system-level Agents faces challenges such as high complexity in enterprise deployment, data security concerns, and the need for improved stability and traceability across systems [3]. - The acceleration of Agent deployment does not imply the replacement of traditional software but rather positions Agents as intelligent interaction and automation hubs, enhancing overall efficiency [3]. Summary by Sections AI Application Key Companies Valuation - The report includes a valuation table for key AI application companies, detailing their market capitalization and projected net profits for 2024 to 2027, with notable companies such as Kingsoft Office, Yonyou Network, and Zhongkong Technology [4].

Investment Rating - The report indicates a positive investment outlook for the industry, highlighting a "golden window period" for the short drama sector, with expectations for significant growth in the coming years [2][11]. Core Insights - The short drama industry has reached a scale of nearly 1 trillion yuan, surpassing both the film and long video sectors, with a projected compound annual growth rate (CAGR) of over 50% from 2023 to 2026 [11]. - The market for animated dramas is expected to exceed 22 billion yuan by 2026, contributing 50% of the incremental growth in the short drama industry [11]. - ByteDance is positioned as the absolute leader in the animated drama sector, leveraging its "traffic + IP + AI" integrated strategy to dominate the market [2][17]. - The application of AI technology is transforming the production paradigm of animated dramas, reducing production cycles from over 50 days to under 30 days and significantly lowering costs [3][21]. Summary by Sections Section 1: The Golden Window for Short Dramas - The short drama market has surpassed 1 trillion yuan, with user engagement increasing, and the average daily viewing time expected to exceed 100 minutes by 2025 [11]. - The market has entered a phase of rapid growth and commercialization, with significant increases in both supply and demand for animated dramas [11][12]. Section 2: AI Reshaping Production Paradigms - AI technologies are enabling a shift from manual production to industrialized generation, with production costs dropping to the thousand-yuan level [3][21]. - The integration of AI in production processes is expected to streamline workflows, reducing the number of steps from 11 to 5 and cutting costs by 60% [3][24]. Section 3: Trends in AI Applications - The report anticipates a significant uptick in AI applications by 2026, driven by the need for software to leverage substantial computational investments [4][31]. - Companies are increasingly integrating AI into their business models, with some reporting that AI-related revenues account for over 10% of total income [4][31]. Section 4: Related Investment Targets - Key investment targets include companies such as DeCai Co., Zhaochi Co., and Wanxing Technology, among others, which are positioned to benefit from the growth in the animated drama and AI sectors [5][40].

Market Overview - The Shanghai Composite Index closed at 4136.16 points, up 0.33%, with a trading volume of 1.3369 trillion yuan. The Shenzhen Component Index rose 0.79% to 14439.66 points, with a trading volume of 1.7484 trillion yuan. The ChiNext Index increased by 0.63% to 3349.50 points, with a trading volume of 822.63 billion yuan. The STAR Market 50 Index closed at 1553.71 points, up 0.78%, with a trading volume of 110.8 billion yuan. The total trading volume of both markets was 3.0853 trillion yuan, an increase of 393.5 billion yuan compared to the previous trading day [1]. Sector Performance - The market saw more sectors gaining than losing, with notable increases in power equipment, non-ferrous metals, precious metals, defense and military, steel, media, computer, environmental protection, and textile and apparel sectors. Concepts such as perovskite batteries, commercial aerospace, satellite internet, sapphire, lithium mining, cultivated diamonds, small metals, gold, and interactive short dramas were particularly active. In contrast, sectors like communication, insurance, banking, coal, and home appliances experienced declines [1]. Individual Stock Performance - A total of 3707 stocks rose, while 1336 stocks fell, with 134 stocks remaining flat and 6 stocks suspended. Excluding newly listed stocks, there were 120 stocks hitting the daily limit up and 2 stocks hitting the limit down [2]. - Among the stocks that hit the daily limit up, 23 stocks had consecutive limit-up days of 2 or more, with Fenglong Co., Ltd. leading with 18 consecutive limit-ups [3]. Capital Flow - The net capital outflow from the two markets was 4.167 billion yuan, with the ChiNext seeing a net inflow of 1.515 billion yuan. The CSI 300 index experienced a net outflow of 1.005 billion yuan, while the STAR Market saw a net outflow of 3.171 billion yuan. Out of 31 sectors, 13 sectors had net capital inflows, with the power equipment sector leading with a net inflow of 8.977 billion yuan [4][6]. - The top sectors with net inflows included non-ferrous metals (4.552 billion yuan), media (2.173 billion yuan), and defense and military (2.157 billion yuan). Conversely, the communication sector had the highest net outflow of 7.992 billion yuan, followed by electronics (6.350 billion yuan) and machinery (5.077 billion yuan) [4][6]. Notable Stocks - 191 stocks had net capital inflows exceeding 1 billion yuan, with Jin Feng Technology receiving the highest net inflow of 1.861 billion yuan. Other notable stocks included Lens Technology (1.594 billion yuan), Qian Zhao Optoelectronics (1.267 billion yuan), and Xian Dao Intelligent (1.217 billion yuan) [7][8]. - Conversely, 116 stocks experienced net capital outflows exceeding 1 billion yuan, with Xin Yi Sheng leading with a net outflow of 3.471 billion yuan, followed by Zhong Ji Xu Chuang (3.103 billion yuan) and Li Ou Shares (2.604 billion yuan) [10][11]. Institutional Activity - Institutional investors had a net selling of approximately 1.02 billion yuan, with 22 stocks seeing net purchases and 14 stocks net sales. Jin Feng Technology was the most purchased stock by institutions, with a net purchase amount of approximately 266 million yuan [13][14].

Group 1 - The main stocks with significant capital inflow as of January 23 include Longi Green Energy (2.692 billion), Aerospace Electronics (1.886 billion), and Goldwind Technology (1.832 billion) [1] - Longi Green Energy experienced a price increase of 10.01% with a capital inflow of 2.692 billion [2] - Aerospace Electronics and China Satellite both saw a price increase of 10% with capital inflows of 1.886 billion and 1.483 billion respectively [2][3] Group 2 - Jin Feng Technology had a price increase of 10% and a capital inflow of 1.832 billion, indicating strong investor interest in wind energy equipment [2] - The stock of 乾照光电 (Qianzhao Optoelectronics) surged by 20.01% with a capital inflow of 1.270 billion, highlighting its performance in the optical and optoelectronic sector [2] - Other notable stocks include Yunnan Zhiye (5.27 billion) and Han's Information (5.05 billion), both showing positive capital inflows and price increases [3]

Investment Rating - The report maintains a positive outlook on the industry, specifically highlighting the potential for effective control of AI model hallucinations by 2026 [2]. Core Insights - The report emphasizes that while hallucinations in AI models are inevitable, advancements in algorithms, data quality, and engineering practices can significantly reduce their occurrence. The top 25 global models have achieved a hallucination rate below 8% [5][6]. - The report identifies three key areas for investment: mature AI applications, marketing AI that is less sensitive to hallucinations, and data plus AI infrastructure [6]. Summary by Sections 1. Hallucinations - The Lower Bound of Model Capability - The report defines hallucinations as overconfident errors produced by language models, which can include fabrications, factual inaccuracies, contextual misunderstandings, and logical fallacies. For instance, GPT-3.5 had a hallucination rate of approximately 40%, while GPT-4's rate was 28.6% [14][15]. 2. Sources of Hallucinations - Hallucinations arise from several factors, including model architecture, toxic data, lack of accuracy in reward objectives, and context window limitations. Addressing these factors is crucial for controlling hallucinations [7][8]. 3. Reducing Hallucinations: From Models, Data, Engineering, and Agents - The report discusses various strategies to mitigate hallucinations, such as using larger training datasets, extending context windows, and incorporating human feedback through reinforcement learning (RLHF) [25][26]. - Engineering practices like Retrieval-Augmented Generation (RAG) are becoming standard, with Gartner predicting a 68% adoption rate by 2025 [56][57]. 4. 2B Application Penetration and Evolution - The report notes that the control of hallucinations in mainstream models has made significant progress, with the top 25 models in the Vectara HHEM ranking achieving hallucination rates below 8%. For example, the Finix model developed by Ant Group has a hallucination rate of only 1.8% [72].

Group 1 - The core viewpoint of the news is that Han's Information has shown significant stock price fluctuations and trading activity, with a notable increase in stock price year-to-date and recent declines in the short term [1] - As of January 21, Han's Information's stock price increased by 41.86% this year, but it has decreased by 11.21% in the last five trading days [1] - The company has a market capitalization of 27.437 billion yuan and a trading volume of 1.055 billion yuan on January 21 [1] Group 2 - Han's Information's main business includes ERP software implementation, customer support, and software outsourcing, with revenue contributions from various segments: C2M (33.82%), ERP (31.16%), GMC (23.50%), ITO (11.19%), and others (0.32%) [2] - The company is classified under the computer-IT services industry and is involved in several concept sectors, including SAAS, AI applications, and virtual digital humans [2] - As of December 31, Han's Information reported a revenue of 2.439 billion yuan for the first nine months of 2025, representing a year-on-year growth of 3.67% [2] Group 3 - Han's Information has distributed a total of 415 million yuan in dividends since its A-share listing, with 125 million yuan distributed in the last three years [3] - As of September 30, 2025, the top ten circulating shareholders include Hong Kong Central Clearing Limited and Southern CSI 1000 ETF, with notable changes in their holdings [3]