Core Points - The U.S. government shutdown has entered its 17th day, potentially setting a new historical record for duration [1][5] - The ongoing political conflict between the Republican and Democratic parties continues to escalate, with accusations exchanged regarding the cause of the shutdown [1][3] Group 1: Economic Impact - The shutdown has led to the freezing or cancellation of funding for over 200 projects across the U.S., totaling nearly $28 billion, primarily affecting Democratic-led states and cities [9] - The U.S. Labor Department has postponed the release of key economic data, including the Consumer Price Index (CPI) and employment statistics, which could hinder decision-making by the Federal Reserve [11][13] - The U.S. Treasury Secretary has warned that the ongoing shutdown is costing the economy approximately $15 billion per day [13] Group 2: Political Dynamics - The Democratic Senate leader has criticized Republicans for refusing to negotiate, attributing the shutdown to their actions [1] - The Republican Senate leader has called for Democrats to stop their "tantrums" and vote to reopen the government [3] - The Department of Homeland Security has attempted to shift blame for the shutdown onto Democrats, although several airports have refused to broadcast this message due to political content regulations [7] Group 3: Global Implications - The shutdown and the resulting lack of reliable economic data are raising concerns among international officials about the ability to formulate effective policies, potentially leading to increased risks of policy errors [17] - The ongoing situation may weaken the U.S. dollar's position in the global market, as other countries rely on U.S. data to assess their own economic conditions [19]

Core Viewpoint - The article emphasizes the implementation of the "Artificial Intelligence +" initiative across six key areas to foster new productive forces and support China's modernization efforts, with specific goals set for 2027, 2030, and 2035 [1]. Group 1: Six Key Areas of "Artificial Intelligence +" - "Artificial Intelligence + Science and Technology": Accelerate scientific discovery processes and drive technological innovation [2]. - "Artificial Intelligence + Industry Development": Cultivate new models and business formats, promoting intelligent development across industrial and agricultural sectors [2]. - "Artificial Intelligence + Consumer Quality": Expand new service consumption scenarios and foster new product consumption formats, promoting intelligent terminal connectivity [2]. - "Artificial Intelligence + Welfare": Create intelligent work methods and more effective learning approaches to enhance quality of life [2]. - "Artificial Intelligence + Governance Capability": Establish a new paradigm of human-machine coexistence in social governance and create a multi-governance framework for safety [2]. - "Artificial Intelligence + Global Cooperation": Promote inclusive sharing of artificial intelligence and build a global governance system for AI [3]. Group 2: Fundamental Support Capabilities - Enhancing foundational model capabilities, innovating data supply, strengthening intelligent computing power coordination, and optimizing the application development environment are essential [4]. - Promoting a thriving open-source ecosystem, strengthening talent development, ensuring policy and regulatory support, and improving safety capabilities are also critical [4]. Group 3: Participation and Opportunities - The "Artificial Intelligence +" initiative allows for broad participation, with opportunities in ecosystems that seamlessly integrate business processes and quickly cultivate user habits to form network effects [5]. - The value of vertical data is significant, especially when high-quality user data continuously feeds back to improve model capabilities, creating a snowball effect [5]. - Talent development is crucial for the success of the initiative [6].