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特朗普急了,发动新「曼哈顿计划」:举国发力AGI
3 6 Ke· 2025-11-21 10:02
Core Insights - The "Genesis Mission" initiated by the Trump administration elevates the AI competition to a level comparable to the Manhattan Project, aiming to eliminate obstacles to rapid computational growth [1][2][4] - The mission emphasizes a centralized approach to AI development, directing national laboratories to focus on AI technology while challenging state-level regulations that hinder progress [5][6][9] Group 1: National Strategy and Policy - The "Genesis Mission" is characterized by a direct and aggressive strategy to consolidate efforts in AI development, removing regulatory barriers that slow down progress [5][9] - The federal government plans to cut funding for states that impose stringent safety tests and ethical reviews on AI, particularly targeting states with "woke culture" [6][7] - The administration views the fragmented regulatory landscape across states as detrimental to business, advocating for a unified approval process [9] Group 2: International Collaboration and Investment - The U.S. is engaging in international diplomacy to bolster AI capabilities, exemplified by the recent meeting with Saudi Crown Prince Mohammed bin Salman, where advanced AI chip exports were discussed [10][14] - The collaboration between Nvidia and Elon Musk's xAI with Saudi-backed investment firm Humain aims to establish a significant data center, highlighting the exchange of technology for energy and capital [14][16] Group 3: Domestic Industry Developments - OpenAI's partnership with Foxconn marks a significant shift towards domestic manufacturing of AI infrastructure, aiming to create a resilient supply chain within the U.S. [17][20] - This collaboration is seen as a pivotal opportunity for American re-industrialization, focusing on the design and production of next-generation AI hardware [18][20] Group 4: Energy and Computational Power - The U.S. Department of Energy plays a crucial role in the AI competition, with plans to establish "cloud automation laboratories" to accelerate research across various scientific fields [23][24] - Nvidia's recent partnership with the Department of Energy to develop supercomputers equipped with the latest AI chips underscores the importance of energy resources in the AI race [24]