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Musk: AI may surpass human intelligence within 5 years, and the importance of currency may decline in 10 years

In a 90-minute interview with The Economist, Elon Musk, the founder of Tesla and SpaceX, stated that artificial intelligence could surpass human intelligence levels within the next five years and predicted that in about ten years, AI and robotics might drive the world into a "highly affluent era." Musk believes that once AI systems and robots possess sufficiently powerful digital intelligence and production capabilities, the global economy could approach a state of "infinite supply," making human labor no longer a necessary condition for survival, and the importance of currency may gradually decline.He stated that in the future, if the number of robots is sufficient, society will have a "quasi-infinite economy," where artificial intelligence can produce goods and services that exceed human consumption capacity. He even predicted that by around 2036, the importance of the traditional currency system might significantly decrease. Regarding future economic operating models, Musk mentioned that governments might maintain social operations by directly distributing funds to the public and believes that the productivity improvements brought by AI could lead to deflation rather than inflation.However, regarding issues such as corporate profit models, government fiscal sources, and social transformation, Musk acknowledged that the economic structure in the age of artificial intelligence might differ greatly from traditional economic laws. Additionally, Musk discussed the integration of AI with space development. He indicated that in the future, data centers deployed in space might be used to support AI computing and reiterated the long-term plan for human exploration of Mars. In the interview, Musk also reflected on his previous involvement in the Trump administration's "Department of Government Efficiency" (DOGE). He admitted that he had invested too much energy in the political arena, "got a bit sidetracked," and stated that if he could choose again, he might spend more time on his own companies.

Intel and AMD are seeking to sign long-term CPU supply agreements with Chinese server customers, with some product prices increasing by over 40% within the year

According to Reuters, citing informed sources, due to the surge in demand for AI data centers leading to a tight supply of server CPUs, Intel and AMD are negotiating long-term procurement commitments with Chinese server customers. Agreements typically lock in a year's supply, with some discussions extending to two years or longer. Driven by the construction of AI computing power, CPU demand has expanded from AI accelerators to mainstream processors, with some server CPU products in the Chinese market experiencing a cumulative price increase of over 40% this year, with month-on-month increases exceeding 10% at times.Intel CEO Lip-Bu Tan stated in April that Xeon server CPU demand "continues to exceed supply," and the company has signed multiple long-term contracts in the first quarter, including a multi-year agreement with Google. AMD has raised its forecast for the server CPU market to exceed $120 billion by 2030. The report notes that China, as one of the largest server markets in the world, is intensifying competition for Intel and AMD processors due to the rapid construction of data centers and AI computing clusters, even as Chinese buyers face U.S. export restrictions on advanced AI GPUs. Intel is set to announce its quarterly results on Thursday, with the CPU shortage expected to become a market focus.

Cointelegraph talks to Gate Europe's CEO: sharing MiCA compliance layout and continuously deepening development in the European market

Gate Europe CEO Dr. Giovanni Cunti was invited to participate in a live interview on Cointelegraph X Space, where he shared insights on the regulatory trends of digital assets in Europe, the MiCA compliance framework, and Gate Europe's development strategy in Europe. Dr. Giovanni Cunti stated that the implementation of MiCA is an important step towards the unification of the European market, "Unified regulation brings broader market access, and market access will further drive institutional adoption." He believes that after the adjustments made under the MiCA framework, market participants will be able to operate in a clearer and more transparent regulatory environment, providing institutional investors with a higher degree of security and trust.During the live broadcast, Dr. Giovanni Cunti also introduced the latest strategic progress of Gate Europe in the European region. He emphasized that Gate Europe proactively began compliance alignment as early as the initial phase of the MiCA framework in 2021. Leveraging the dual licensing advantages of MiCA and Payment Institutions (PI), Gate Europe is steadily strengthening compliance, risk control, and operational governance while continuously expanding digital asset trading, wealth management, and localized services, committed to providing European users with safer, more transparent, and efficient digital asset services.As the global regulatory framework for digital assets continues to improve, compliance is becoming an important foundation for the long-term development of the industry. Currently, Gate has completed regulatory registrations, license applications, or obtained authorizations and approvals in multiple jurisdictions including Europe, the United States, Japan, Dubai, Australia, and the Bahamas, continuously advancing its global compliance strategy. In the future, Gate will adhere to the parallel development of compliance and innovation, continuously enhance its global service capabilities, promote the steady development of the digital asset industry, and provide global users with safer, more efficient, and trustworthy products and services.

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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