Core Viewpoint - The development of an open-source ecosystem in artificial intelligence (AI) is crucial for enhancing China's AI industry, with open-source large models playing a significant role as AI becomes a global public good and enters a stage of inclusivity [1][3]. Group 1: Open Source Ecosystem Development - Beijing has the foundational capabilities to build an "open-source capital," hosting over half of the country's open-source startups across key areas such as foundational platforms, large models, and robotics [3]. - The city possesses the largest information software industry in the country, with a robust industrial chain that supports open-source development [3]. - Continuous improvement of top-level design encourages enterprises to actively participate in international open-source projects and supports the establishment of open-source organizations in Beijing [3]. Group 2: Recommendations for AI Open Source Ecosystem - It is recommended to strategically position in frontier areas such as intelligent agents and embodied intelligence to accelerate technological breakthroughs and ecosystem development [3]. - Creating a favorable open-source culture is essential, encouraging institutions to practice open-source principles in the AI field [3]. - Integration of inclusive computing resources and the establishment of a joint operation mechanism are necessary for the ecosystem [3]. - Strengthening communication and collaboration within existing AI open-source communities is vital to create a neutral and authoritative platform [3]. Group 3: AI Open Source Community - The AI open-source community has become a key component for the practical application of large models, exemplified by the Jingzhi community initiated by the China Academy of Information and Communications Technology [5]. - As of now, the Jingzhi community has over 2,800 open-source models covering areas such as computer vision, natural language processing, speech processing, and multimodal applications [5]. - The community has aggregated more than 380 datasets, including text, images, and audio-visual data, and provides over 500 petaflops of computing power from resources like NVIDIA, Huawei Ascend, and Baidu Kunlun [5].