提起陈行甲，通常会想到两个鲜明的身份标签：曾经的"全国优秀县委书记"和现在的"公益人"。 在过去的四分之一世纪，陈行甲在中国社会图景中是一个独特的存在。从主政一方的"一线总指挥"，到躬身入局的公益创业者，他的每一次经历似乎都 与社会常规的期待相悖。 2016年，陈行甲在仕途上升期毅然辞职，投身公益。这一举动曾引发诸多猜测，但对他而言，却是"内核是统一"——这是一条埋藏了二十多年的"草蛇 灰线"，无论是从政，还是从事公益事业，都是"公共服务"和"解决社会问题"，对他来说是殊途同归。 陈行甲的个人轨迹并非孤立地存在，而是与整个时代的发展脉络紧密相连。这25年间，中国社会对"如何解决复杂问题"的理解，正逐渐从主要依靠行 政力量，转向容纳更多社会力量的探索。 在陈行甲的认知中，一个社会治理的平衡结构应该有"四只腿"：有敢于改革的政府，有善于创新的企业，有良性监督的媒体，有博爱情怀的公益。但在 目前的中国，政府、企业和媒体已足够强大，但"公益"这条腿依然相对薄弱，未能与其他三者形成稳固的平衡，这恰恰成为了他选择躬身入局的空间。 我们的四分 陈行甲通晓体制内的运行规则与话语体系，也深刻理解社会领 域的逻辑与真实诉求。这使 ...

Core Perspective - The narrative illustrates a transformation in perception regarding the river birch tree, highlighting how initial dislike can shift to appreciation through the observation of its ecological value, particularly in attracting various bird species during winter [2][3]. Group 1: Initial Dislike - The river birch tree is described as having a chaotic appearance, with a disordered shape and unattractive bark, leading to a strong dislike from the observer [1]. - The tree's location near the dining area exacerbates the negative feelings, as it detracts from the aesthetic enjoyment of meals [1]. Group 2: Change in Perception - A winter morning experience reveals a multitude of birds, including rare species, gathering on the river birch tree, which transforms the observer's view of the tree from negative to positive [2]. - The presence of birds brings life to the previously dull and lifeless tree, showcasing its role in the local ecosystem and enhancing the observer's appreciation for it [2][3]. Group 3: Lasting Impact - The observer's emotional response shifts significantly, leading to a newfound joy in the presence of the river birch tree, illustrating the importance of perspective in appreciating nature [3].

Core Insights - The emergence of AI scientists represents a significant advancement in scientific research, enabling faster hypothesis generation and experimental design, as demonstrated by the recent validation of a new bacterial gene transmission mechanism by Google's AI in just 48 hours [1][2] Group 1: AI Scientist Development - AI scientists are not physical robots but intelligent agents powered by large language models, capable of generating scientific hypotheses and research plans autonomously [1] - The global competition among research institutions to develop AI scientist systems is intensifying, with two main categories: AI as research assistants and fully autonomous scientific discovery systems [2][3] Group 2: Research Assistant Systems - The first category focuses on creating AI systems that assist human scientists, providing interdisciplinary knowledge and research ideas, exemplified by Stanford University's "Virtual Laboratory" which successfully designed 92 antiviral nanobodies [2] Group 3: Autonomous Discovery Systems - The second category aims to develop fully autonomous systems capable of scientific discovery, with examples including Japan's "Fish AI" which produced a computer science paper and the "Future Home" AI system that discovered a drug for dry macular degeneration [3] Group 4: China's AI Scientist Initiatives - China is accelerating the development of AI scientist systems, with initiatives like the "Virtual Scientist" system and the "Feng Deng Gene Scientist" system, which has identified previously unreported gene functions in staple crops [4] Group 5: Future Prospects - The future may see more physical AI scientists assisting in complex research environments, such as "AI crop geneticists" and "AI soil scientists," transforming previously fictional scenarios into reality [5]