Core Viewpoint - The company, Jiecheng Co., Ltd. (300182), has established a strategic partnership with Huawei Cloud to collaborate on AI corpus and video large models, aiming to explore commercial applications in film and audio-visual production [1] Group 1: Partnership Details - The partnership involves signing a "Video Large Model Cooperation Agreement" to create a long-term and in-depth collaboration [1] - The focus areas include AI corpus, video large models, and enhancing data service delivery capabilities [1] Group 2: Market Exploration - Both companies will jointly explore the commercial implementation of video large models in various sectors [1] - The collaboration aims to assist both parties in gaining a first-mover advantage in the generative large model wave [1] Group 3: Current Status - As of now, the related work is progressing in an orderly manner, with updates to be provided through official company announcements [1]

Market Review - The A-share market exhibited a narrow fluctuation pattern in May, with the average monthly trading volume remaining around 1.2 trillion yuan, consistent with the previous month [3][9] - The pharmaceutical and new consumption sectors showed strong performance, with the highest consecutive trading limits primarily among ST stocks [3][9] - The margin trading balance showed a slow increase in May, but the net inflow of main funds slowed down in the latter half of the month [17][19] Policy Dynamics - A comprehensive set of financial policies was introduced to stabilize the market and expectations, including a 0.5 percentage point reduction in the reserve requirement ratio, expected to provide approximately 1 trillion yuan in long-term liquidity [24][25] - The "Digital China Construction 2025 Action Plan" aims for the digital economy's core industry value-added to exceed 10% of GDP by the end of 2025, with a computing power scale exceeding 300 EFLOPS [3][20] - The introduction of the "Stablecoin Regulation" in Hong Kong marks a significant step in promoting financial innovation while maintaining stability in the digital asset sector [3][20] Industry Trends - The evolution of large models towards multimodal capabilities is highlighted, with significant advancements in AI technologies from companies like ByteDance, Alibaba, and Tencent [3][32] - The Ministry of Industry and Information Technology emphasized accelerating the development of 5G-A and 6G technologies, indicating a strong push towards advanced telecommunications [3][32] - The "Intelligent Transformation Implementation Plan for the Pharmaceutical Industry (2025-2030)" aims to enhance the digital transformation of the pharmaceutical sector, focusing on smart drug development and production processes [29][32]

Core Insights - The article discusses the historical context of global industrial transfer and the potential of artificial intelligence (AI) to reshape the manufacturing landscape in China, suggesting that AI could end the trend of industrial transfer that has persisted for over six centuries [1][4]. Historical Context - The article outlines the historical shifts in global production centers, noting that East Asia was once the core of global industry, particularly during the Song and Yuan dynasties, but lost its dominance due to changes in maritime policies and the rise of European powers [2][3]. - Post-World War II, the production center shifted to Japan and then to the "Four Asian Tigers," eventually relocating to China’s Yangtze River Delta and Pearl River Delta regions after 1992 [3]. Current Trends and AI's Role - The article highlights the emergence of "dark factories" in regions like Jiangsu and Guangdong, where factories operate continuously with minimal human intervention, raising questions about the future of industrial production and the historical patterns of industrial transfer [4]. - It notes that since 2012, some manufacturing has begun to relocate from China to countries like Vietnam and India, driven by rising local factor costs, particularly for foreign companies [4]. Strategic Implications - The article emphasizes the importance of leveraging AI to maintain China's manufacturing dominance and prevent further industrial transfer, framing this as a critical aspect of national rejuvenation [5]. - It discusses the need for a dual focus on improving living standards and environmental sustainability while resisting the natural gravitational pull of industrial transfer [8]. Ideological Considerations - The article touches on the ideological battle surrounding AI and its implications for governance, suggesting that control over AI technologies could influence global narratives and values [12][13]. - It contrasts the "right-wing accelerationism" prevalent in the U.S. tech sector with China's approach, which emphasizes ethical development and social responsibility in technology [18][21].