而今，放眼曾以"煤都"著称的山西省大同市，只见光伏板如蓝色波涛连绵涌动，数据中心里的指示灯似 璀璨星河不停闪烁，古城墙下传统文化与现代文明交相辉映。 面对资源型城市转型的时代考题，大同市以一场深刻的城市革命，书写着能源之城绿色蝶变、算力之城 筑基未来、文化之城脉动新生的优异答卷。 第一张答卷：能源之城绿色蝶变 "十四五"时期，大同以"一张蓝图绘到底"的韧劲，实现从单一依赖传统能源向构建多元互补、清洁高 效、安全可靠的新型能源体系转变。作为国家重要的能源基地，大同始终端稳能源饭碗，原煤年产量稳 定在1.5亿吨以上，2021—2024年累计生产原煤6.4亿吨，其中以长协价保供电煤4.3亿吨，为能源安全提 供坚实支撑。 在传统能源升级上，大同以智能化破局。中煤大同能源公司调度中心内，工作人员轻点鼠标便可洞察井 下500米深处的实时工况，实现"减人不减产、增效更安全"。目前，全市已建成14座智能化煤矿，先进 产能占比超85%，9家燃煤电厂完成超低排放改造，煤电清洁高效利用水平持续提升。 文化"破圈"的密码，深植于大同厚重的历史积淀。2000多年的建城史中，多民族文化的交融碰撞，塑造 了大同独特的城市气质。云冈石窟的万 ...

去年5月，国家数据局布局建设7个国家级数据标注基地，辽宁沈阳是其中之一。目前，沈阳市已标 注数据总量超过8323TB，形成134个高质量数据集，应用于76个大模型，参与制定国家标准2项、行业 标准4项；引育数据标注企业65家，从业人员达1.18万余人，产业规模约25.9亿元；加快推动数据端释放 要素核心价值，已交易数据集28个，交易金额1.02亿元。 据悉，东北地区将以专业化、智能化、国际化为导向，通过政府引导、企业主体、市场运作的协同 共建模式，构建特色鲜明、功能互补的区域性产业集群体系，形成专业化分工协作、互联互通的产业生 态，建设覆盖东北亚的数据标注产业，打造具有全球竞争力的东北地区数据标注产业集群。 东北数据标注解决方案联合体将整合各地资源和优势，为全国客户提供全栈式、高价值的解决方 案，联合开拓应用场景，"打包"东北的工业、农业、文旅等全域产业升级需求，为区域内的标注企业提 供试验田和首用地，共同下好协同发展这盘"大棋"。 开拓场景，链接需求，打造"东北数据标注"集体品牌。日前，由中国信息协会、沈阳市数据局举办 的东北地区数据标注产业高质量发展座谈会在沈阳市召开。辽宁、吉林、黑龙江三省及相关地市共同 ...

以下文章来源于东四十条资本 ，作者韦香惠 东四十条资本 . 聚焦股权投资行业人物、事件、数据、研究、政策解读，提供专业视角和深度洞见 | 创投圈有趣的灵魂 将投中网设为"星标⭐"，第一时间收获最新推送 这波AI热潮中的重要类目。 作者丨 韦香惠 来源丨 东四十条资本 围绕高质量数据的争夺，正成为AI产业链中最激烈的赛道之一。一家由19岁华裔女孩创立的美国初创公司Datacurve完成了 1500万美元A轮融资，由 Chemistry VC领投，Y Combinator、Afore Capital、Homebrew等知名机构跟投，多位来自 DeepMind、OpenAI、Anthropic、Vercel、Coinbase的高管个人参与其中。更早之前，该公司已经融资270万美元。 Datacurve的崛起并非偶然。在大模型爆发的背景下，AI企业普遍陷入"算力、算法、数据"三要素的博弈之中——算力的竞争 被巨头垄断，算法的突破门槛极高，而数据，尤其是高质量人工标注数据，成了创业公司能切入的少数机会之一。 海外，数据标注公司成为这波AI热潮中资本布局的重要类目。今年6月，Meta斥资14.3亿美元入股Scale AI ...

Core Insights - The company, Jishu Technology, has developed a self-research spatial intelligence model platform that significantly reduces the need for a large number of data annotators, completing the work of thousands with just two people [1][6]. Company Overview - Jishu Technology relocated its headquarters to Wuhan in July 2023 and plans to hire 30 employees, supported by local investment groups [6]. - The company operates in the data annotation sector, utilizing intelligent models for fully automated annotation, achieving 360 million data annotations in one hour, compared to the 240 annotations completed by a human annotator in the same time [6][10]. Technology and Innovation - The founder, Zhou Yuan, has a background in surveying and mapping, having developed algorithms and tools for precise modeling of complex traffic environments, which won a national award [6][7]. - The technology integrates satellite positioning, remote sensing, and geographic information systems to provide accurate data analysis, especially in adverse weather conditions [7]. Market Position and Clients - Jishu Technology collaborates with major automotive companies like Geely and Chery, as well as AI firms such as SenseTime and Bosch [10]. - The company benefits from a supportive local government initiative aimed at developing the data annotation industry, with plans to attract leading enterprises and increase the scale of related industries by over 10 billion yuan [10]. Future Prospects - The company aims to expand its services from spatial intelligence to embodied intelligence applications, leveraging high-value industrial scenarios in the region [10]. - Recent investments have provided the company with the resources to acquire more original data, facilitating its expansion from the Yangtze River Delta to a national presence [10].

Summary of Key Points from Conference Call Industry Overview - The conference call discusses the rapid development of China's digital economy and the importance of data elements, with the establishment of the National Data Bureau in 2022 to promote data resource development and utilization, aiming to create a unified national market for data circulation, trading, and rights confirmation [1][2][4] Core Insights and Arguments - Data is recognized as a strategic resource and one of the three key elements for the development of the artificial intelligence (AI) industry [2][9] - The data labeling industry is experiencing rapid growth, with the establishment of seven major data labeling bases and a total dataset size of 29TB, generating over 8.3 billion yuan in related output [1][6] - The average daily token consumption in AI applications increased over 300 times from early 2025 to June 2025, indicating a significant growth in AI application scale [1][8] - High-quality Chinese datasets are crucial, with over 60% of data used in large model training being in Chinese, highlighting the potential for developing high-quality Chinese datasets [1][9] Important but Overlooked Content - The government has implemented several measures to promote the digital economy, including policy documents and the establishment of dedicated institutions, such as the National Data Bureau and the three-year action plan for data education [5][6] - Public data is essential for improving social governance efficiency and promoting economic development, with a focus on creating a unified national market through data sharing across different sectors [12] - Future investment hotspots include the data exchange sector, AI applications, and specific application scenarios in healthcare, transportation, energy, and public utilities [8][11] - Regions like Guangdong, Shanghai, Fujian, and Zhejiang are expected to lead in digital economy development, with local state-owned enterprises playing a significant role [11]

Core Insights - The data annotation industry is heavily reliant on talent development, with Rizhao City leveraging its educational resources to create a talent supply system that supports high-quality industry growth [1][2] Group 1: Talent Development Initiatives - Rizhao City is integrating the "education chain, talent chain, and industry chain" to address the talent shortage in the data annotation sector [1] - Eight universities in Rizhao have launched specialized programs in data annotation, including practical courses like "Multimodal Data Processing" to align educational content with industry needs [1] - Companies are engaging with universities by establishing industry colleges and introducing real annotation projects, allowing students to gain hands-on experience in data cleaning and annotation processes [1] Group 2: Policy and Incentives - Rizhao has implemented special measures for digital talent cultivation, clearly defining the direction for talent development [1] - Companies are creating recognition and reward systems for outstanding annotation talents and teams, aiming to attract external talent and retain local skilled workers [1] Group 3: Industry-Education Feedback Loop - The industry chain is providing feedback to the education chain, creating a virtuous cycle where training programs are adjusted based on the latest industry demands [2] - Training bases led by companies like Taiying Technology and Zhongkai Technology host nearly 9,000 students annually for internships, enhancing their practical skills while informing educational adjustments [2] - Rizhao aims to strengthen the integration of industry and education, ensuring the "three-chain integration" model continues to supply quality talent for the data annotation industry [2]

Core Insights - The "2025 National High-Quality Data Set and Data Annotation Industry Supply and Demand Matching Conference" held in Nanjing successfully attracted over 500 companies and resulted in more than 90 collaborations with a transaction value exceeding 900 million yuan [1] - Jiangsu province aims to leverage its rich data resources to enhance the construction of high-quality data sets, which is essential for seizing opportunities in artificial intelligence development [1][2] - The definition of high-quality data sets varies across industries, but they must meet the training needs of AI large models [2] Industry Overview - Jiangsu has established 321 high-quality data sets across key sectors such as healthcare, transportation, industry, energy, and cultural tourism, with a total data scale exceeding 93PB [1] - The province has implemented a "1+N" policy framework to optimize the environment for artificial intelligence development, focusing on collaboration between supply and demand enterprises [2][7] Challenges in Data Annotation - Data annotation is crucial for AI development, requiring specialized knowledge and skills, particularly in complex fields like medical data [3][4] - The industry faces challenges such as insufficient data supply and a lack of skilled data annotators, which hinder the progress of large models in niche areas [4] Cost Considerations - The high costs associated with data storage and processing are significant challenges for companies, with many high-quality data sets being discarded due to storage expenses [5][6] - Companies are exploring solutions like establishing cold storage centers in less developed regions to reduce costs associated with data storage [5] Financial Support and Standards - The data industry is knowledge and capital-intensive, with a significant portion of costs tied to acquiring raw data [6] - Financial institutions are encouraged to provide support for data collection and annotation, potentially through innovative financing models [6] - The establishment of standards for high-quality data sets is underway, with guidelines and quality assessment protocols being developed to address current challenges [6]

Core Insights - The conference on high-quality data sets and data labeling in the cultural tourism industry was held in Yangzhou, Jiangsu, focusing on the integration of data elements with the cultural tourism sector [3][4] - The event highlighted the importance of data as a new production factor driving high-quality economic development, particularly in the context of the digital economy [3][4] - Yangzhou's advancements in digital economy and data capabilities were emphasized, showcasing its position as a core node in national data infrastructure [3][5] Group 1: Conference Highlights - The conference gathered industry experts, scholars, and government officials to discuss the deep integration of data and cultural tourism [3][4] - Yangzhou's historical significance and its current digital transformation were underscored by local officials, indicating a robust digital governance framework [3][4] - The establishment of the "National Data Labeling Industry Education and Integration Development Base (East China)" was announced, with several companies joining [5] Group 2: Data and Technology Focus - The conference addressed the need for high-quality data set construction and the development of the data labeling industry as crucial for advancing artificial intelligence [4] - Suggestions were made for demand-side and supply-side stakeholders to enhance collaboration and improve data quality and standards [4] - The event featured the launch of 18 high-quality data sets across various sectors, including cultural tourism and audio labeling [5] Group 3: Future Directions - A collaborative initiative was introduced to promote standardized data sharing and ecological development within the cultural tourism sector [5] - The conference served as a platform for fostering cooperation and innovation in the digital economy, particularly in relation to cultural tourism [5] - Yangzhou's digital economy initiatives were presented as a model for other regions, emphasizing the potential for growth and development in the sector [3][5]

Core Insights - Mercor, an AI recruitment startup, has reached a valuation of $10 billion after securing $350 million in funding, making its three 22-year-old founders the youngest self-made billionaires in history, surpassing Mark Zuckerberg's record [1][2][3] Company Overview - Mercor specializes in providing model training support for top AI labs in Silicon Valley and has developed a recruitment platform that uses AI avatars for job interviews, connecting candidates with companies in need of talent [1][3] - The company was founded in 2023 with the initial mission of bridging Indian engineers and freelance programmers with American companies [3][4] Founders' Background - The founders, Brendan Foody, Adarsh Hiremath, and Surya Midha, are all Thiel Fellows, receiving $100,000 to forgo college education, which has positioned them as role models for young entrepreneurs in the AI era [2][3] - They have a strong connection to the tech environment of the Bay Area, with all three founders having parents who are software engineers [4][5] Financial Performance - Following the recent funding round, the company reported an annual revenue of $500 million, a significant increase from $100 million earlier in the year [3][4] Industry Context - The data labeling industry has seen significant changes, with major players like Meta acquiring stakes in competitors, prompting smaller firms to seize opportunities [4] - Mercor faces competition and legal challenges, including a lawsuit from Scale AI alleging theft of trade secrets, which the founders have downplayed [4][5]

Group 1: Urban Infrastructure Development - The Ministry of Housing and Urban-Rural Development and nine other departments have released an action plan for new urban infrastructure construction from 2025 to 2027, focusing on digital, networked, and intelligent urban infrastructure to enhance urban risk prevention and governance capabilities [2] - The plan aims to integrate new-generation information technology with urban infrastructure, creating a digital foundation for urban governance and promoting the development of resilient, livable, and smart cities by the end of 2027 [2][3] - Key tasks include the construction and renovation of intelligent municipal infrastructure, dynamic updates of facility information, and improvements in safety management in critical areas [2] Group 2: Overseas Service System Enhancement - The Ministry of Commerce and four other departments have issued guidelines to improve the overseas comprehensive service system, establishing service stations in key countries to support Chinese enterprises in international markets [4] - The guidelines aim to upgrade public service platforms to a national level, creating a comprehensive service system that combines general and specialized services [4] - Local governments are encouraged to innovate and create integrated service ports to enhance the quality and efficiency of services for enterprises going abroad [4] Group 3: Traffic Management Services - The Ministry of Public Security will implement six new online traffic management measures starting November 1, increasing online services to 41 items, benefiting over a hundred million citizens annually [5][6] - New measures include online processing for vehicle mortgage releases, replacement of vehicle registration certificates, and electronic transfer of vehicle files, significantly reducing the need for in-person visits [5][6] - Additional online services for driving license examinations and temporary license plates for oversized vehicles will also be introduced to streamline processes for citizens and businesses [6] Group 4: Local Government Initiatives - The Wuqing District government in Tianjin has launched an action plan to enhance the business environment, focusing on improving government services and regulatory frameworks [7] - The plan includes the establishment of a dedicated service team for enterprises and the implementation of integrated service reforms for project approvals [7] - Financial support initiatives will be introduced to facilitate enterprise development, including regular financial discussions and promoting financing pathways for small and micro enterprises [7] Group 5: Data Industry Support in Guizhou - The Guizhou Provincial Big Data Bureau has issued a plan to support key development directions in the data industry, including data labeling and artificial intelligence, with 25 supportive measures [8] - Financial incentives include a 3% reward on annual revenue for data labeling companies and one-time rewards for significant revenue achievements in related sectors [8] - The initiative aims to strengthen Guizhou's brand effect in data services and provide comprehensive support for the development of the digital economy [8] Group 6: Housing Fund Service Integration in Guangxi - The Guangxi Zhuang Autonomous Region has launched an integrated information platform for housing provident fund services, enabling 79 services to be processed online, achieving over 95% online service rate [9][10] - The platform aims to streamline processes by eliminating the need for multiple documents and providing instant processing for high-frequency services [10] - AI-driven customer service features are included to assist users in navigating services and completing transactions efficiently [10]