Core Insights - Ant Group's Ant Micsuan won the "Outstanding Contribution Award" at the 2025 World Internet Conference for its innovative "Micsuan Computing Technology System," highlighting its recognition in the integration of data element circulation and artificial intelligence [1][3] Group 1: Technology and Innovation - Ant Micsuan's award reflects a growing consensus in the internet industry regarding the importance of data element circulation and intelligent applications of large models [3] - The Micsuan Computing Technology System addresses the industry pain point of achieving "usable but invisible" data through a systematic solution that relies on cryptography, trusted hardware, and system security [5][6] - The cost of Micsuan Computing has been reduced to less than 1.5 times that of plaintext computing, overcoming the long-standing cost dilemma in privacy computing [5][6] Group 2: Market Applications - Micsuan Computing technology has been successfully implemented in various key areas, including the first national Micsuan Computing Center in Hangzhou and projects like "Farmers' Instant Loan," serving over 13 million farmers [6][12] - The "Data-Model Integration" paradigm proposed by Ant Micsuan aims to reconstruct the relationship between data and AI, emphasizing the need for a unified security framework for both [7][8] Group 3: Industry Transformation - The integration of Micsuan Computing is transforming data and AI from experimental tools to core production tools driving industry upgrades, enhancing efficiency and addressing long-standing data governance issues [12][14] - The "Data-Model Integration" model allows for the encapsulation of expert knowledge into reusable high-order programs, significantly expanding the reach and impact of top experts in various fields [14] Group 4: Market Potential - The data element circulation market is projected to grow significantly, with estimates suggesting it could reach a trillion yuan scale, driven by the increasing importance of data circulation [15] - Ant Micsuan's involvement in establishing national standards for Micsuan Computing and its commitment to open-source collaboration are seen as crucial for the industry's future [15][16]

Core Viewpoint - The increasing value of data emphasizes the importance of its circulation, with a focus on ensuring data security and preventing misuse when it leaves the control of its providers [1][5]. Group 1: Technology Overview - Ant Group's Ant Misan has been awarded the "Outstanding Contribution Award" at the World Internet Conference for its potential to address data security concerns [1]. - Ant Misan utilizes a new generation of privacy-preserving computing technology called "secure computing," which ensures that data is "available but invisible" during processing, thus preventing data leakage and misuse [1][4]. - The technology allows for effective control over data even when it is shared across different entities, industries, and regions, overcoming limitations of traditional plaintext computing [3][5]. Group 2: Market Potential and Future Applications - The cost of secure computing has decreased to below 1.5 times that of plaintext computing, with secure model inference costs dropping to under 1.2 times traditional inference costs [6]. - High-value and sensitive industries such as finance and healthcare are expected to be the first adopters of secure computing, leading to broader applications across various sectors as infrastructure develops [6]. - The establishment of a research group within the National Data Standardization Committee aims to promote the standardization of secure computing, marking this year as a potential turning point for market-scale applications [6]. Group 3: Addressing Challenges in AI Models - The phenomenon of "hallucination" in large models is linked to the compression of human knowledge, which can lead to inaccuracies when the model is faced with complex queries [7][8]. - Effective problem decomposition and the integration of programming languages with natural language are proposed as solutions to enhance the reliability of large models, potentially increasing efficiency in the data field significantly [8].

Core Insights - Ant Group's Ant Mi-Suan won the "Outstanding Contribution Award" at the World Internet Conference for its innovative privacy-preserving computing technology, which enables low-cost and trustworthy data circulation for over ten million users [1] - The company emphasizes that the integration of high-value and sensitive data across entities remains a challenge, limiting the potential of large models in driving transformative changes in industries [1][2] - The market for privacy-preserving computing technology is projected to reach hundreds of billions at the infrastructure level and trillions at the business level, indicating significant growth potential [3][8] Group 1: Technology Development - Ant Group initiated its exploration of privacy computing technology in 2016, leading to the establishment of Ant Mi-Suan in June 2024 to promote large-scale application of its technology [2] - The technology has achieved a cost reduction to within 1.5 times that of plaintext distributed computing while ensuring full-link security [2] - Ant Mi-Suan's technology has been applied in various sectors, including financial services for over 13 million farmers and insurance for 75% of new energy vehicle owners, resulting in an average premium reduction of 8% [2] Group 2: Market Potential - The market for privacy-preserving computing technology is expected to be in the hundreds of billions for infrastructure and trillions for business applications, highlighting its vast market space [3] - The current data element trading market is estimated at around 100 billion, with potential growth to a trillion-level market as the technology matures [8] Group 3: New Paradigms in AI - The future of AI will be characterized by a "data-model integration" paradigm, where specialized data and industry knowledge are essential for building reliable large models [4] - Ant Mi-Suan's High-Order Program (HOP) framework aims to enhance the reliability of large models by making their application logic explicit and controllable [5][6] - The HOP technology has been successfully implemented in data governance, financial risk control, and healthcare auditing, ensuring a reliable and efficient process [6] Group 4: Collaborative Ecosystem - Ant Mi-Suan has established an open-source community to foster collaboration, linking over 20,000 developers and numerous academic and industry partners [7] - The company is leading efforts to standardize privacy-preserving computing, with 20 organizations joining to create a unified data circulation infrastructure [7]

Core Insights - The article discusses the rapid growth of generative AI in China, with over 600 million registered users expected by December 2024, highlighting the increasing reliance on AI for solving daily problems [2] - It emphasizes the privacy and security concerns associated with data leakage when using cloud-based AI models, leading to a demand for solutions that can protect sensitive information [2][10] Company Overview - Jinghua Misan, incubated at Tsinghua University, focuses on homomorphic encryption technology to address privacy issues in cloud-based AI applications [2][3] - The company recently won the "DEMO GOD" award at the 2025 DEMO CHINA event, standing out among 126 tech companies [3] Technology and Solutions - Homomorphic encryption allows computations on encrypted data without decryption, maintaining data security during transmission and storage [5][10] - The company is developing a high-performance homomorphic inference and training engine aimed at users who require privacy but cannot afford local deployment costs [10][11] - Jinghua Misan's solutions enable data owners to lease their data while ensuring it remains encrypted, creating a sustainable revenue stream [12][13] Market Demand and Strategy - There is a strong market demand for high-performance, practical homomorphic computing solutions, particularly in AI applications [5][8] - The company aims to focus on AI model inference and training, positioning itself as a leader in this niche market while avoiding broader applications where it lacks expertise [15] Future Plans - Jinghua Misan plans to launch its homomorphic inference and training engines by the end of this year and early next year, targeting both B2B and B2C users [10][12] - The company is committed to refining its technology to meet user needs and enhance user experience, with a focus on balancing security and performance [13][15]

Core Viewpoint - The article discusses the emergence of Jinghua Misan, a company focused on privacy-preserving computing solutions, particularly in the context of AI and data security, highlighting its recent recognition and the potential market for its technology [3][5][22]. Group 1: Company Overview - Jinghua Misan, incubated at Tsinghua University, aims to address privacy concerns associated with cloud-based AI models by utilizing a secure computing engine that operates at acceptable costs [3][5]. - The company won the "DEMO GOD" award at the 2025 DEMO CHINA event, standing out among 126 tech companies [3][5]. Group 2: Technology and Solutions - Homomorphic encryption allows computations on encrypted data without decryption, maintaining data privacy throughout its lifecycle [7][9]. - Jinghua Misan's technology aims to reduce the performance loss typically associated with homomorphic encryption, making it viable for AI applications [9][12]. - The company is developing two main products: a homomorphic inference engine for AI models and a homomorphic training engine to protect data ownership during transactions [15][17]. Group 3: Market Demand and Challenges - There is a strong market demand for high-performance, practical homomorphic computing solutions, particularly in privacy-sensitive applications [8][11]. - Current solutions face challenges such as high computational costs and hardware dependencies, which limit their widespread adoption [9][12]. Group 4: Future Vision and Strategy - Jinghua Misan aims to focus on AI-related privacy solutions, believing that its technology can become a new consensus for secure data transactions and AI model usage [22]. - The company plans to launch its homomorphic inference and training engines by the end of this year and early next year, respectively [18].

Group 1 - The core achievement of Jinghua Misan (Beijing) Technology Co., Ltd. is winning the "DEMO GOD" award at the 2025 DEMO CHINA event for its breakthroughs in high-performance secure computing technology [1] - The core team of Jinghua Misan is composed entirely of Tsinghua University alumni, with Ren Ju serving as the Chief Scientist and Lin Xiuchun as the CEO, who is currently a doctoral student at Peking University [1] - Jinghua Misan aims to commercialize its leading high-performance secure computing technology, with a focus on developing advanced secure inference and training engines [1] Group 2 - The DEMO CHINA conference was organized by Chuangyebang and guided by the government of Hangzhou's Gongshu District, featuring 126 early-stage tech companies and 213 investment institutions [2] - Over 18 years, DEMO CHINA has attracted more than 47,000 startup applications, with 1,506 companies showcasing their innovations, and 623 companies progressing to Series A funding [2] - The event also released several lists, including "2025 Notable AI Innovators" and "2025 Most Admired Venture Capital Institutions" [2]

Core Insights - The "White Paper on Encrypted Computing Technology" was jointly released by 16 leading academic and research institutions, including Ant Group, Zhejiang University, and the University of Science and Technology of China, at the 2025 Inclusion Bund Conference, aiming to promote the application of encrypted computing in various industries [1][4] Summary by Sections Encrypted Computing Overview - Encrypted computing is defined as utilizing cryptography, trusted hardware, and system security technologies to ensure data is usable but not visible during computation, thereby preventing data leakage and misuse [3] Cost and Performance - The white paper highlights that the common misconception of high costs associated with encrypted computing is outdated, as its performance is now comparable to plaintext computing. The cost of general encrypted computing has dropped to below 1.5 times that of plaintext distributed computing, while the cost for large model inference has decreased to under 1.2 times that of traditional plaintext inference [3][4] Industry Applications - Encrypted computing has been successfully implemented in various sectors, including government, healthcare, and agriculture. Notable projects include the Hangzhou Encrypted Computing Center and the "Farmer Instant Loan" project, which serves over 7.6 million farmers by securely integrating sensitive data [4] Standardization and Open Source - The white paper indicates that leading industry players are collaborating to establish unified standards and an open-source core framework, aiming to accelerate the development and application of privacy-preserving computing technologies [5]

Core Viewpoint - Ant Group's AI Miskatonic upgrade card was launched at the 2025 Inclusion Bund Conference, enabling a secure transition from plaintext computing to encrypted computing without the need to replace existing xPU hardware or modify AI application code and drivers [1] Group 1 - The AI Miskatonic upgrade card offers an "plug-and-play" innovative solution for secure computing [1] - The upgrade allows for a seamless transition to encrypted computing, enhancing data security [1] - The solution is designed to work with existing hardware and software infrastructure, minimizing disruption [1]

Core Insights - The release of the "Homomorphic Computing Technology White Paper" by 16 leading academic and research institutions marks a significant step in promoting the application of homomorphic computing in the industry, highlighting its potential as a new generation of data security infrastructure capable of large-scale commercial deployment [1][3] Cost and Performance - Traditional perceptions of high costs associated with homomorphic computing are challenged, as the actual performance is now close to that of plaintext computing. The cost of general homomorphic computing has dropped to below 1.5 times that of plaintext distributed computing, while the cost for homomorphic large model inference is now under 1.2 times that of traditional plaintext inference [3][4] Technological Innovations - Significant cost reductions are attributed to innovations in both technology architecture and infrastructure. The introduction of hardware trust roots and optimized cryptographic protocols has transformed network interaction and computing models, leading to lower computing costs [4] Trust Mechanism Shift - Homomorphic computing facilitates a shift from "subject trust" to "technology trust" in data circulation. This change addresses the limitations of traditional information systems where data is only shared with trusted individuals, thus expanding the scope of data flow and preventing data misuse [4][5] Security Scope - The latest homomorphic computing technology extends security measures across the entire data lifecycle, from identity authentication and access control to key management, ensuring comprehensive protection throughout data aggregation, transmission, storage, computation, and result return [5] Industry Applications - Homomorphic computing has been successfully implemented in various sectors, including government, healthcare, and agriculture. Notable projects include the "Farmer Instant Loan" initiative, which utilizes homomorphic computing for secure data integration, benefiting over 7.6 million farmers [5] Open Source and Standardization - Leading industry players are collaborating to establish unified standards and open-source core frameworks, aiming to create a common security assessment system. The establishment of the "Yin Language Open Source Community" by Ant Group, in partnership with various institutions, is a step towards advancing privacy-preserving computing technology and enhancing interoperability [5]

Core Insights - The article discusses the significant upgrade of the Yinyu open-source community, transitioning from a focus on privacy computing to a broader "trusted data circulation technology community" that addresses core industry pain points related to trust in data flow [1][4][9] Group 1: Industry Challenges - The core obstacle for large enterprises in data circulation is not profit motives but the risks associated with security and compliance in data external circulation [3] - The national data bureau estimates that the national data market transaction scale will exceed 160 billion yuan in 2024, with a year-on-year growth of over 30%, highlighting the challenge of bridging the trust gap in data circulation [3][4] - Current data infrastructure lacks consensus, and while enterprise-level support is advancing, public data openness is hindered by imbalances in responsibility and rights [4][5] Group 2: Technological Integration - The Yinyu community's upgrade aims to deeply integrate and reconstruct full-stack data circulation technologies, covering six major technical routes, including privacy protection computing and blockchain [4][9] - The community plans to build a "one-stop, verifiable, and interconnected" technical foundation to address the challenges faced by small and medium-sized enterprises [5][6] - The concept of "trusted data space" is crucial for ensuring secure and compliant data circulation across different entities [3][5] Group 3: Future of Data Elements - The article presents differing views on whether data transactions represent the future, with some arguing that large companies will not sell their data, as circulation does not equate to transaction [6][7] - The integration of data in supply chain finance is highlighted, where privacy computing allows data holders to output trusted results without exposing original data [6] - The emergence of artificial intelligence is seen as a new driving force for data circulation, although reliability remains a significant concern [7][8] Group 4: Open Source Ecosystem - The Yinyu community emphasizes the importance of open-source as a means to lower the application threshold for trusted data circulation technologies [8][9] - The community has linked with 20,000 developers and numerous industry partners to promote cross-domain standard building [8] - The upgrade signifies a shift from isolated breakthroughs in privacy computing to a comprehensive approach to data circulation technology [9]