整理 | Echo Tang 出品丨AI 科技大本营（ID：rgznai100） "开源是数字世界的路和桥，AI 则像是水和电。" 在 GOSIM HANGZHOU 2025 的现场 ，CSDN 创始人&董事长、GOSIM 发起人、奇点智能研究院理事长蒋涛作开场致辞，直言如今正是属于开发者和 开源的最好时代，并为所有开发者带来了两份重要报告的发布： 一、由奇点智能研究院出品、联合国咨商开源创新专委会编制的 《2025 全球开源发展报告（预览版）》 ，全面衡量全球开源生态的发展格局。数据 显示，美国仍是开源生态的核心力量，中国则保持高速增长，目前拥有约 400 万活跃开源开发者，总开发者数量达 1200 万，稳居全球第二。在技术 演进方向上，AI 大模型、云原生基础设施、前端与交互技术，以及编程语言与开发工具链，正成为推动全球技术变革的四大核心驱动力。在高影响力 开发者这一关键指标上，美国仍以绝对优势位居第一。但中国表现亮眼：从 2016 年的 3 位高影响力开发者，跃升至 2025 年的 94 位，实现近 30 倍 的增长，数量跻身全球第二梯队，展现出中国在核心技术贡献和国际开源话语权方面的快速崛起。 二、 ...

Group 1 - The core idea of the article revolves around the environmental impact of AI interactions, particularly the energy and water consumption associated with AI models and data centers [1][3][4] - OpenAI CEO Sam Altman humorously estimated that the cost of energy for polite interactions with AI could reach millions of dollars, indicating that such expenses are still considered worthwhile [1][4] - AI data centers are likened to modern "factory smokestacks," consuming vast amounts of electricity, with a typical AI data center using as much power as 100,000 households [4][6] Group 2 - The International Energy Agency (IEA) projects that global data center electricity consumption will rise from 415 terawatt-hours (TWh) in 2024 to over 1,300 TWh by 2035, surpassing Japan's current total electricity consumption [6] - AI models not only consume electricity but also require significant water resources for cooling, with the water needed for training models like GPT-3 comparable to that required for cooling a nuclear reactor [9][11] - The energy consumption during the inference phase of AI models is expected to exceed that of the training phase, leading to increased long-term energy demands [11][12] Group 3 - The article discusses the psychological aspects of human-AI interaction, noting that users often anthropomorphize AI, treating it as a conscious entity despite its lack of emotions [13][17] - Research indicates that polite language can influence AI responses, with users reporting that courteous interactions yield more comprehensive and human-like answers from AI [21][22] - The potential for AI to reflect human behavior raises concerns about the implications of how users interact with AI, as seen in past incidents where AI systems have been manipulated or have produced harmful outputs [26][27]