【导读】拒绝平庸的对话框，亚马逊正亲手撕碎AI的次元壁！「工程沙皇」DeSantis联合「机器人宗师」Abbeel，将芯片、模型与钢铁躯壳暴力缝合。这 不是在更新软件，这是在锻造 AGI 的物理真身！巨头觉醒，闭环已成，实体 AI 时代正式降临！ 很长一段时间里，大众对AGI的想象，被压缩成了一个对话框。 就在昨天，亚马逊CEO Andy Jassy宣布了一次罕见的组织调整：将Nova大模型团队、自研芯片部门与量子计算研究整合进同一体系。 几乎同时，机器人与强化学习领域的代表人物Pieter Abbeel，正式进入亚马逊AGI体系。 与其继续在云端堆叠参数，亚马逊选择把算力、模型与物理世界放进同一张设计图里。 在亚马逊看来，AGI不应只是一个会聊天的文人，而是一个拥有芯片为骨、算法为魂的「物理实体」。 算力不再是资源，权力才是 DeSantis在内部以极强的工程交付能力著称，他不仅是云基础设施的掌舵人，更是亚马逊自研芯片计划的幕后推手。 这一任命意味着，AGI不再只是模型团队的研究课题，而被视作一项需要长期工程投入的系统工程。 在外界看来，将AGI团队、自研芯片部门与量子计算强行缝合显得臃肿，但在亚马逊看来， ...

德甲 （Bundesliga） 则是 把绿茵场搬进了展厅。A mazon Nova模型将解说自动转换成英语、日 语、西班牙语……同一个进球瞬间，被讲述成了属于全球不同球迷的故事。 F1赛车 停 在红白相间的路肩条纹地面上。蓝紫色灯光勾勒出从1970年代延伸到 " 2025 and beyond " 的F1历史时间线。2022年，F1与亚马逊云科技合作打造 " 数字风洞 " ，通过高性能计算 模拟空气动力学 下的 新设计 ， 将尾流下压力损失从50%降到15%， 最终在 2022赛季 实现 超车 次数增加了30%。 NBA官宣了一笔 " 签约 " ，但这个 " 球员 " 没有身高体重数据。 2025年10月，美国职业篮球联盟宣布与亚马逊云科技达成多年合作伙伴关系 ，后者 正式成为NBA 及其附属联赛的官方云服务与云AI合作伙伴。在刚刚结束的2025亚马逊云科技re:Invent大会上，这 笔 " 签约 " 的技术内涵 进一步 得到了全面展示 ：AI将 彻底改写 体育 运动 领域 。 在大会的主题演讲中，亚马逊云科技首席执行官Matt Garman预测：未来Agent技术将带来10亿级别 的应用机会，而单个Age ...

Core Viewpoint - Jeff Barr, a key figure in the development of cloud computing, is recognized as a "living textbook" for the industry, having contributed significantly to the evolution of Amazon Web Services (AWS) and the broader cloud computing landscape [1][3][4]. Group 1: Jeff Barr's Contributions - Jeff Barr is one of the early founders of Amazon Web Services and currently serves as its Vice President and Chief Evangelist [3]. - Over his 20-year career, he has authored more than 3,300 blog posts and delivered over 800 speeches, documenting every significant product release and technological advancement at AWS [4][6]. - His approach of prioritizing personal insights over traditional marketing has established a new paradigm for community communication and developer engagement in the cloud computing sector [5][6]. Group 2: Evolution of Software Development - Jeff Barr emphasizes the ongoing transformation in software development, highlighting the shift from traditional coding to the integration of generative AI tools [10][11]. - He argues that AI should be viewed as an amplifier of human capabilities rather than a replacement, as historical advancements in programming languages have consistently expanded access to the field [15][19]. - The introduction of AI programming assistants, such as Amazon's Kiro, represents a significant evolution in the software development process, allowing for more structured and efficient workflows [23][24]. Group 3: Future of Development Roles - The role of developers is shifting from primarily writing code to focusing on communication and collaboration, with a predicted reversal in the time spent communicating with machines versus people [32][34]. - Jeff Barr suggests that the future developer will need strong interpersonal skills to effectively engage with both AI tools and team members [42][44]. - The ability to read and understand code will become increasingly important as AI takes over more coding tasks, necessitating a shift in educational focus [41]. Group 4: Impact of AI on Applications and Data - The rise of AI-driven development is expected to lead to the emergence of "disposable code" or short-lived applications, which are created for specific, temporary needs [45][47]. - In contrast, the value of data will significantly increase, as effective data management becomes crucial in a landscape where code is easily generated [48][50]. - This new balance of "ephemeral code and eternal data" will reshape software architecture and corporate strategies [50]. Group 5: Cloud Computing's Future - Jeff Barr predicts that while cloud computing will remain the foundational infrastructure, AI will introduce new dynamics and opportunities for innovation [51][53]. - The combination of cloud services and AI is expected to empower individual developers, potentially leading to the creation of "unicorns" by single developers [55][56]. - Barr expresses admiration for the rapid advancements in China's cloud computing sector, noting a significant evolution in understanding and embracing cloud and AI technologies over the past 16 years [57][59].