AI冲击，文学书卖不动了，"疗愈经济"兴起带动相关图书热销，线上销售降幅大于线下，"罕见的爆 款"仍在涌现，社科类图书的市场表现不俗，甚至不少哲学书都卖得不错…… 对出版从业者来说，2025年是纠结的一年，面对各种选择，"迷茫"成了热词。销量下降，书价上升，彼 此抵消，一切已难用喜和忧来简单概括。对读者而言，2025年则是幸福的一年，太多绝版好书再版，深 度阅读成主流，学者写作精彩不断……太多"值得收藏的书"，让未来的淘书者记住2025年。 中华学术·近思、长城砖、新声、温迪雅、新视界、万有引力、溯源、赛先生阅读、大学问、陆海书系 等"新品牌"，与甲骨文、博雅、九色鹿、启微、精神译丛、理想国译丛、汉唐阳光、湛庐、守望者、世 纪文景、索·恩、汗青堂、拜德雅、鼓楼新悦等"老品牌"，交相辉映，共同表达着：不论市场怎样变 化，价值出版永存。 好书不会消逝，它会像传奇一样，在一代代人的口中传诵。 好书的价值在于意义 而非"意义的拟像" 事实是，载体形式可能起着决定作用。"轻阅读""快阅读"剥夺了阅读的深入感：文字是为表达意义，而 意义需品味才能体会。"快""轻"之后，读到的只是文字，而非意义。这样的文字只是"意义的拟像 ...

以下文章来源于腾讯新闻大声思考 ，作者马兆远 腾讯新闻大声思考 . 腾讯新闻原创专栏，与优秀作者一起大声思考 马兆远 南方科技大学工学院和商学院双聘教授 过去两年，从ChatGPT的兴起到DeepSeek引发的全球震动，人工智能从高深的专业领域变成了全民讨论的热 点，AI的跃迁式发展让一个事实变得清晰：我们正处在人与智能边界被重新划定的历史节点。 AI的能力边界在快速扩张，许多我们原本以为"只有人类能做"的工作，AI都开始涉足。这种变化带来了集 体性的焦虑和迷茫：在人与智能的边界被重新定义的今天，什么能力是AI不可替代的？我们该如何找到自 己的位置？ 在我看来，真正值得我们焦虑思考的，不是AI会变得多强大，是否会挤压、替代和威胁人类生存，而是我 们的思维方式是否已经为这个时代做好了准备，这才是关系到每个人在这个时代下生存状态的核心问题。 我们对AI的认知 取决于看待它的思维方式 当我们谈到AI，总会不自觉地陷入一个误区：以为拥有的技术会决定未来。这种误解非常普遍，也非常危 险。 因为从整个人类文明史来看，技术从来都不是最关键的变量，真正决定时代走向的，是背后的"思维方 式"。 但在我看来，真正的关键问题其实并 ...

Group 1 - The core event is the Youth Robot Design Competition, which is part of the 2025 World Robot Competition Beijing Championship, aimed at fostering teamwork, strategic division of labor, and hands-on skills among participants [1] - The competition features various categories including professional, challenge, and popular classes, with a total of 19 major events and 57 minor events, targeting participants aged 6 to 18 [1] - A specific programming competition is organized for elementary school students, utilizing graphical programming instead of traditional code, which helps develop logical thinking and responsiveness beneficial for future learning and work [3]

Core Insights - The relationship between AI and education should be led by the education sector, emphasizing the importance of teachers in the integration of AI into educational practices [1][2] - AI can assist in creating personalized learning plans by analyzing student data, but the design and adjustment of AI systems must be teacher-driven [1] - Education should shift from "learning to learn" to "learning how to learn," with a focus on practical skills and methods [1] Group 1 - AI can replace routine tasks but non-routine aspects of education, such as emotional and cognitive development, still require human teachers [1] - The education industry should develop AI tools based on teachers' needs, such as using AI to support after-school learning or gamified teaching methods [1] - Skills training, particularly in vocational education, is emphasized as requiring practical experience, highlighting the need for hands-on learning [1] Group 2 - Education should prioritize abstract thinking, logical reasoning, and value formation, with subjects like mathematics and music playing a crucial role [2] - AI technology should enhance students' questioning abilities, fostering a culture of inquiry [2] - Language learning is viewed as a gateway to understanding cultural differences, and AI should be leveraged to optimize language education [2]