Core Viewpoint - The article emphasizes that digital dividends should not lead to digital hegemony, and the intelligent revolution should not create an intelligence gap. The principle of "intelligence for good" is essential for artificial intelligence (AI) to truly benefit humanity [1][2][3][4] Group 1: AI Development and Global Disparities - There is a significant concern regarding whether AI will narrow or widen the development gap, particularly between developed and developing countries. Many developing nations are considered "followers" in the AI field, lacking competitive tech companies, sufficient talent, and infrastructure [1][2] - The International Monetary Fund's "AI Readiness Index" indicates that as of April 2024, developed countries have an index of 0.68, while emerging and low-income countries have indices of 0.46 and 0.32, respectively [1] Group 2: Open Source Strategy - The open-source strategy transcends the traditional practices of exclusivity and inequality, lowering the barriers for research and application, thus allowing more individuals to participate in AI research [2][3] - The emergence of numerous open-source large models enables broader sharing of AI benefits, highlighting the need for both technological advancement and an inclusive approach to AI development [2][3] Group 3: International Cooperation and Governance - The article advocates for strengthening international governance and cooperation in AI to ensure it serves humanity and avoids becoming a game for the wealthy [2][3][4] - China's initiatives, such as the establishment of the International Cooperation Group for AI Capability Building, reflect a commitment to inclusive AI development, having hosted seminars with representatives from over 40 countries [3][4] Group 4: Cultural and Ethical Considerations - The principle of "intelligence for good" reflects China's cultural values of openness and cooperation, promoting a collaborative ecosystem for AI innovation [3][4] - The article draws parallels between the transformative impact of electricity and the current potential of AI, emphasizing that continuous technological breakthroughs and ethical considerations are crucial for AI to become universally accessible [4]