Core Viewpoint - The development of Artificial General Intelligence (AGI) is a significant focus in the AI field, with ongoing exploration and breakthroughs being made [1][2]. Group 1: Trends in AI Development - The future of AI over the next 3 to 5 years can be summarized by three trends: systematization of intelligent technology, diversification of intelligent forms, and advancement of intelligent capabilities [3]. - Systematization involves a deeper understanding of the essence of intelligence, moving beyond mere application to a more theoretical framework [3]. - Diversification of intelligent forms is driven by the need for rich application scenarios and the current incompleteness of technology, leading to the emergence of various intelligent forms [3]. - The advancement of intelligent capabilities is essential for the industry's progress, requiring breakthroughs in technology and a comprehensive understanding of different forms of intelligence [3]. Group 2: Key Questions in AI Research - There are ten critical questions to explore regarding the three trends, including how AI can elevate scientific research from isolated breakthroughs to a comprehensive level [5]. - The relationship between "brain" and "embodiment" in embodied intelligence research is a core issue that needs precise definition and exploration [5]. - Future research should focus on optimizing the relationship between brain capabilities and physical embodiment to avoid pitfalls in intelligence development [5]. Group 3: Challenges and Safety in AI - The core challenge in AI development is transitioning from merely addressing AI safety vulnerabilities to proactively building inherently safe AI systems [6]. - Formal AI has made significant progress, but there are concerns about its potential rigidity and the risk of systems bypassing safety checks [6]. - A dynamic safety mechanism that allows for self-correction is essential for achieving true AI safety, rather than relying on perfect regulations [6]. Group 4: Balancing Development Aspects - Key issues include balancing the quality and efficiency of intelligent development, the allocation of computational resources between data synthesis and algorithm training, and promoting hardware-software collaboration [7]. - The future of AGI is poised to fundamentally reshape social production logic, with the balance between efficiency and ethics, innovation and safety being crucial [7]. - The design of AGI reflects humanity's values and future direction, emphasizing the importance of collaborative governance among developers, policymakers, and the public [7].