Group 1 - Central enterprises are actively embracing artificial intelligence (AI) through the "AI+" initiative, achieving positive results in key areas such as application, computing power, data, and models [1] - Over 500 scenarios in key industries like industrial manufacturing, energy, and intelligent connected vehicles have been established for AI applications by central enterprises [1] - China Unicom has developed the "Yuanjing" model family, which includes multimodal models for language, speech, vision, and multimodal processing, and has released the first "adaptive slow thinking" general thinking chain model to enhance model efficiency [1] Group 2 - The State Grid has launched the "Guangming" multimodal industry model, which provides specialized intelligent services across the entire power industry chain [2] - China National Petroleum Corporation has introduced the "Kunlun" model for energy and chemical applications, focusing on oil and gas exploration and equipment engineering design [2] - The State-owned Assets Supervision and Administration Commission (SASAC) plans to deepen the "AI+" initiative by emphasizing application leadership, data empowerment, and foundational intelligent computing, while encouraging central enterprises to increase investment in AI [2]

Core Viewpoint - The State-owned Assets Supervision and Administration Commission (SASAC) is promoting the "AI+" initiative among central enterprises, focusing on application leadership, data empowerment, and foundational computing capabilities to enhance the development of artificial intelligence in various industries [1][3]. Group 1: AI Application and Collaboration - Central enterprises have actively opened over 500 application scenarios in key industries such as industrial manufacturing, energy, and intelligent connected vehicles [2]. - SASAC has guided central enterprises to collaborate with various companies by building cooperation platforms and increasing procurement efforts [2]. - High-value AI models have been developed, such as the "Guangming" model by State Grid for power grid safety and stability, and the "Kunlun" model by China National Petroleum for oil and gas exploration [2]. Group 2: Data Empowerment and Model Development - A focus on high-value scenarios has led to the aggregation of high-quality datasets in sectors like transportation, finance, and industrial manufacturing [2]. - Major telecommunications companies have developed large-scale models with capabilities for complex reasoning and multimodal applications [2]. - China Railway Rolling Stock Corporation is exploring intelligent simulation models for aerodynamic design, achieving comparable accuracy to traditional methods [2]. Group 3: Future Directions and Investment - SASAC plans to deepen the "AI+" initiative by enhancing application leadership and expanding collaborative efforts across industries [3]. - The commission aims to build high-quality datasets for key industries and improve the quality and diversity of general datasets for model training [3]. - There is a commitment to increase funding for AI development, focusing on long-term, strategic, and patient capital, while optimizing talent cultivation and establishing a suitable talent evaluation system [3].