Group 1 - The event is scheduled to take place from September 22 to September 30, 2025, at the UN Headquarters in New York [1]

本次活动以"数字向善：为了人类与繁荣"为主题，汇聚多国元首及全球顶尖企业领袖，旨在共同推进 《全球数字契约》框架下的跨国合作。其中，一场聚焦技术赋能发展的重要环节，重点探讨了如何利用 新兴技术促进全球繁荣，这与奇富科技长期深耕数字技术创新、以技术驱动发展的方向高度契合。目 前，奇富科技正以人工智能为核心驱动力，通过智能体技术升级数字化信贷服务体系，持续为小微企业 和城乡消费者提供可负担的金融服务，助力提升社会运行效率与发展质量。 本报讯 （记者李冰）9月22日至30日，纽约联合国总部迎来联合国八十周年系列重要活动。奇富科技首 席执行官吴海生受邀出席由国际电信联盟（ITU）与联合国开发计划署（UNDP）联合主办的联合国大 会高级别周核心活动，成为该全球顶级数字治理对话中仅有的中国金融科技企业代表。 吴海生在交流中表示，数字技术的包容性发展是实现可持续发展的关键。奇富科技始终坚信，通过负责 任的技术创新，能够让数字红利更公平地触达全球每个角落，为全球数字治理与繁荣发展贡献力量。 ...

Core Insights - The financial technology industry is increasingly focusing on underlying technological capabilities, with Qifu Technology reporting a 150% year-on-year increase in loan volume for its digital credit solution provider, Qifu Shuke, in Q2 2025, driven by the efficiency improvements of its credit intelligence system [1][8]. Group 1: Credit Intelligence System - The credit intelligence system integrates multiple modalities, automated modeling, and strategy analysis, aiming to enhance credit capabilities for banks and achieve dual improvements in technology and business [2][3]. - A specific case highlighted the system's ability to analyze video data to supplement traditional credit data, enabling small businesses with limited tax information to secure credit [2][3]. - The core innovation of the credit intelligence system lies in its underlying algorithmic transformation, utilizing a unique "thinking chain" data training method to improve risk assessment accuracy significantly [3]. Group 2: Product Implementation - The "Taiqing Entrepreneurship Loan" product utilizes the small business credit assessment module of the credit intelligence system, successfully evaluating and granting credit to three Taiwanese enterprises in Fujian [4][5]. - This product addresses two major pain points for small businesses: data integration challenges and the limitations of traditional risk models, providing a pathway for transforming data into credit and subsequently into funding [4][5]. - The loan product incorporates local data sources, such as the "Taiwanese Financial Credit Certificate," to enhance credit assessment and facilitate cross-strait data integration [4][5]. Group 3: Strategic Transformation - The launch of the "Taiqing Entrepreneurship Loan" serves as a significant case for Qifu Technology to demonstrate its technology output to financial institutions, particularly city commercial banks and rural commercial banks [6][8]. - The AI capabilities of the credit intelligence system are being integrated into banking operations, with a focus on enhancing credit decision-making processes [6][8]. - The AI approval officer module has garnered interest from banks, enabling them to automate data verification processes and significantly improve operational efficiency [8]. Group 4: Future Outlook - The maturity of the credit intelligence technology is expected to drive the financial industry towards greater automation and intelligence, with evolving collaboration models between fintech companies and traditional financial institutions [9].

Core Insights - The 10th Huawei Connect Conference (HUAWEI CONNECT 2025) recently opened in Shanghai, where QiFu Technology's Chief Algorithm Scientist, Fei Haojun, discussed the company's advancements in financial decision-making engines for small and micro enterprises using large model technology [1][3]. Group 1: Industry Challenges - Small and micro finance faces three core challenges: low data transparency leading to a lack of effective decision-making basis, high diversity of enterprise types resulting in disorganized data formats, and traditional risk control models relying heavily on statistics and decision trees, lacking deep causal and logical reasoning capabilities [3]. Group 2: Technological Advancements - QiFu Technology is upgrading three core capabilities: perception, cognition, and logical decision-making to build a new generation of intelligent decision engines [3][4]. - In the perception layer, the company has developed a financial-specific multimodal large model (MLLM) that accurately analyzes vast amounts of non-standard documents like bank statements and income certificates, showing significant advantages in accuracy and recall compared to mainstream open-source models [3][4]. - In the cognition layer, QiFu has created three knowledge graphs covering 33 million enterprise entities, enabling deep understanding of industry characteristics and complex relationships by linking macroeconomic data with business and legal information [3][4]. Group 3: Decision-Making Innovations - The company has developed a reasoning large model (Reasoning LLM) for risk management in small and micro enterprises, which features full transparency and traceability in its decision-making process, supported by long-chain reasoning data construction and reinforcement learning mechanisms [4]. - This "perception-cognition-decision" integrated technology architecture aims to significantly enhance operational efficiency and risk control accuracy for financial institutions while providing deep understanding and precise services for each small and micro enterprise [4][5]. Group 4: Future Directions - QiFu Technology plans to continue advancing technology openness and ecosystem collaboration, aiming to extend its capabilities to more financial institutions and promote smarter, more inclusive, and sustainable financial services for small and micro enterprises, positioning Chinese solutions for global service [5].

Group 1 - The event "Intelligent Integration Across the Straits: Creating a Future" marks the launch of the "Taiwan Youth Entrepreneurship Loan" initiative in Fuzhou Free Trade Zone, aimed at supporting Taiwanese youth entrepreneurship [1][3] - The initiative is part of nine key measures to support Taiwanese youth entrepreneurship in the Fuzhou Free Trade Zone, focusing on enhancing the business environment through financial technology [3][5] - A strategic cooperation agreement was signed between the Fuzhou Free Trade Zone Management Committee and Qifu Technology to develop a credit evaluation system, innovative financial services, and a healthy supply chain ecosystem [3][5] Group 2 - Qifu Technology's Chief Risk Officer highlighted the launch of the "Taiwan Youth Entrepreneurship Loan," which integrates traditional business data with unique local financial credit certificates to create accurate credit profiles for Taiwanese enterprises [5][6] - The first phase of the "Taiwan Youth Entrepreneurship Loan" has completed assessments for three Taiwanese enterprises, with the highest credit limit set at 500,000 yuan [6] - Qifu Technology initiated a "Dual-Track Entrepreneurship Empowerment Plan," which includes establishing training bases for Taiwanese youth and forming a financial technology innovation alliance to connect resources and accelerate innovation [8] Group 3 - The launch of the "Taiwan Youth Entrepreneurship Loan" signifies a new phase in cross-strait financial integration, emphasizing technology empowerment and ecosystem co-construction [8] - The initiative aims to create a new model of financial support for Taiwanese enterprises, promoting the concept of "doing foreign trade, finding free trade" among Taiwanese businesses [8]

Core Insights - The launch of the "Taiwan Youth Entrepreneurship Loan" initiative in Fuzhou Free Trade Zone aims to support Taiwanese youth entrepreneurship through financial technology and deepen the integration of cross-strait industries [1][2][3] Group 1: Initiative Overview - The initiative is part of nine key measures to support Taiwanese youth entrepreneurship in the Fuzhou Free Trade Zone, focusing on leveraging financial technology to enhance the region's unique advantages [1] - A strategic cooperation agreement was signed between the Fuzhou Free Trade Zone Management Committee and Qifu Technology to develop a credit assessment system, innovative financial services, and a healthy supply chain ecosystem [1] Group 2: Financial Product Details - Qifu Technology introduced the "Taiwan Youth Entrepreneurship Loan," which integrates traditional business data with unique local data from Fujian, allowing for precise credit assessments of Taiwanese enterprises [2] - The first phase of the loan program has completed assessments for three Taiwanese companies, with the highest credit limit set at 500,000 yuan [2] Group 3: Training and Collaboration - Qifu Technology launched a "Dual-Track Entrepreneurship Empowerment Plan," which includes establishing training bases for Taiwanese youth and forming a financial technology innovation alliance to connect resources and accelerate innovation [2] - The initiative marks a new phase in cross-strait financial integration, emphasizing technology empowerment and ecosystem co-construction [3]

Group 1 - The event "Intelligent Integration Across the Straits: Creating a Future" marks the launch of a project aimed at supporting Taiwanese youth entrepreneurship in the Fuzhou Free Trade Zone [1] - The initiative is part of nine key measures to support Taiwanese youth entrepreneurship, focusing on financial technology to enhance the integration of advantageous industries between Fujian and Taiwan [3] - A strategic cooperation agreement was signed between the Fuzhou Free Trade Zone Management Committee and Qifu Technology, aiming to develop a credit assessment system, innovative financial services, and a healthy supply chain ecosystem [3] Group 2 - Qifu Technology's Chief Risk Officer highlighted the importance of technology in facilitating financial integration between Fujian and Taiwan, addressing the unique financing needs of Taiwanese entrepreneurs [5] - The "Taiwan Youth Entrepreneurship Loan" product was launched, which integrates traditional business data with local credit certificates and collaborative data from Fujian's industrial parks to create accurate credit profiles for Taiwanese enterprises [6] - The first phase of the loan program has completed assessments for three Taiwanese enterprises, with the maximum credit limit set at 500,000 yuan for individual companies [6] Group 3 - In addition to financial services, Qifu Technology initiated a "Dual-Track Entrepreneurship Empowerment Program," which includes establishing training bases for Taiwanese youth and forming a financial technology innovation alliance to connect resources [8] - The event signifies a new phase in financial integration between Fujian and Taiwan, emphasizing technology empowerment and ecosystem co-construction [8] - The collaboration aims to create a more convenient and sustainable support system for Taiwanese enterprises in Fujian, promoting deeper and higher-level industrial integration [8]

Group 1 - Seeking Alpha welcomes Matthias Frost as a new contributing analyst, encouraging others to share investment ideas for publication [1] - The new analyst has over 10 years of experience in the stock market, transitioning from a professional poker player to focusing solely on investments [2] - The analyst emphasizes strategic thinking, risk management, and simplifying complex situations as key skills developed from poker that apply to investing [2] Group 2 - The analyst prefers technology-driven stocks and those with growth at a reasonable price, particularly in up-trending markets [2] - A significant portion of the analyst's portfolio is allocated to cryptocurrencies and tech stocks, which has led to outperformance compared to broader markets [2] - The analyst aims to provide valuable insights and contribute to the Seeking Alpha community through in-depth investment research [2]

Company Overview - Qfin Holdings, Inc. (NASDAQ:QFIN) is recognized for its growth, value, and long-term potential, consistently delivering profitability and strong growth without disappointing investors in any quarter [2][3] - The company operates as an AI-driven credit-tech platform, providing credit-driven services and platform services since its incorporation in 2016, serving a diverse clientele including financial institutions, consumers, and micro- and small-enterprises [4] Investment Activity - Kadensa Capital Ltd increased its position in Qfin Holdings by purchasing 132,769 shares valued at $5,963,000, now owning nearly 0.08% of the company [1] Market Position and Technology - Qfin Holdings utilizes AI, machine learning, and big data to assess borrowers' financial capabilities and employs advanced technology to mitigate risks and expand its operations, positioning itself as an underrated fintech stock [3] - The company's business model focuses on offering online loans to young Chinese professionals without requiring collateral, allowing it to capture a significant market share [2]

Core Insights - The financial sector is identified as the most valuable testing ground for artificial intelligence (AI) technology, with a significant evolution from auxiliary roles to core decision-making processes [1] - The Chinese government has initiated actions to promote the application of AI across various sectors, including finance, emphasizing the integration of advanced technologies like big data and blockchain to enhance risk control and product design [1][2] - Platform companies are transitioning from single technology outputs to collaborative ecosystems, significantly lowering barriers between financial institutions and tech companies [2][3] Group 1 - Financial intelligent agents are evolving to autonomously handle complex processes such as data filtering and risk assessment, addressing the challenges of deploying large models in practical scenarios [3][4] - The collaboration between tech platforms and financial institutions is fostering a new governance model that emphasizes shared risks and values, focusing on key issues like financial data security and inclusive finance [3] - Companies like JD Technology and Tencent Cloud are leveraging AI to improve credit assessment models and enhance customer service through intelligent platforms [2] Group 2 - The core value of intelligent agents lies in their ability to replace certain human functions, transforming the application logic of AI from simple assistance to more complex, human-like workflows [4] - The future of AI applications in finance is expected to show a trend of deeper specialization and collaborative coexistence, with platform companies enhancing their technical capabilities and vertical service providers focusing on specific financial sectors [4] - The integration of AI technology with specific banking operations is seen as a way to extract actual business value, with some companies aiming to create generalized intelligent agent platforms for broader industry applications [4]