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Interlace and BlockSec held the "Next Decade of Payments" summit, releasing the AI Agent Payment White Paper

On July 17, Interlace and BlockSec jointly held the summit "The Next Decade of Payments: Digital Currency, AI Agents, and the New Global Financial Order." The event brought together industry guests from AI, Web3, security, and payments to discuss the development trends of stablecoin payments, security compliance, AI agents, and global payment infrastructure.BlockSec co-founder Zhou Yajin and Interlace founder and CEO Michael Wu delivered keynote speeches on "Security and Compliance in Crypto Payments" and "Agentic Payment and the New Infrastructure of Global Finance," respectively, sharing their latest observations on the development trends of digital asset payments. As the scenarios for stablecoin payments continue to expand, the security compliance system and the construction of a new generation of payment infrastructure are becoming key supports for driving industry development. In the future, payment infrastructure will not only serve the function of capital flow but will also further evolve into a programmable, trusted, and verifiable value transfer system, providing underlying support for the connection between digital assets and real-world commerce.At the event, Interlace also officially released the white paper "The Value Transmission Layer of the AI Economy: From Concept to Implementation." The white paper was jointly initiated with ecosystem partners such as Bitget, BlockSec, Cobo, Conflux, Stable, Xagent, and Hetu, systematically defining the architecture, standards, and implementation paths of Agentic Payment infrastructure, providing a reference for value transfer in the era of the AI economy.

The National Development and Reform Commission released the "Action Plan for the Cooperative Development of Artificial Intelligence," proposing eight major actions to promote global AI collaboration

The National Development and Reform Commission officially released the "Action Plan for the Cooperative Development of Artificial Intelligence," aimed at building an open, shared, secure, orderly, and collaboratively governed global artificial intelligence ecosystem. The plan clearly outlines eight core actions, comprehensively promoting deep international cooperation in the AI field from multiple dimensions, including data, computing power, algorithms, talent, and governance. At the foundational level of data and computing power, the action plan emphasizes the need to promote cross-border data flow and build a trustworthy cross-border data space, collaboratively constructing a high-quality corpus; at the same time, it promotes the interconnection of intelligent computing facilities, providing inclusive intelligent computing services to developing countries, and creating low-carbon intelligent computing infrastructure driven by green energy.In terms of industrial empowerment and ecological sharing, the plan encourages the co-construction of an international open-source community for artificial intelligence, promoting the sharing of general large models, basic algorithms, and tool components, and supporting countries in conducting localized innovation based on open-source models. By deepening "Artificial Intelligence +" cooperation, it aims to build a cross-national industrial cooperation platform, promoting the deep application and empowerment of AI technology in fields such as science, manufacturing, healthcare, education, agriculture, and governance. In addition, the plan also proposes the establishment of a joint training mechanism for top digital talent, collaboratively formulating occupational standards and skill certification systems, comprehensively enhancing public literacy, and jointly addressing the structural impacts of AI on employment.Regarding industry rules and technical security, the action plan advocates for the co-construction of rules and standards and collaborative governance for security. All parties will strengthen information sharing on cybersecurity threats and emergency response cooperation, researching ways to enhance the explainability, transparency, and safety of artificial intelligence. Finally, the plan emphasizes adherence to the technological ethics principle of "AI for Good," collaboratively constructing an ethical guideline system dedicated to eliminating algorithmic biases in the forms of racism, discrimination, and others. By promoting international governance cooperation in AI research, it aims to contribute public scientific products to the Global South, effectively serving the United Nations' 2030 Sustainable Development Goals.
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