Core Insights - The article discusses TCL's strategic initiatives in response to the central economic work conference's emphasis on expanding domestic demand and optimizing supply [1][4] - TCL aims to leverage technological innovation and industrial upgrades to drive high-quality development and contribute to the construction of new productive forces [1][2] Group 1: Strategic Initiatives - TCL will focus on technology innovation and industrial upgrades as core paths to enhance high-quality development [1][2] - The company has achieved a leading market share in the AR smart glasses sector for three consecutive years and is establishing a G8.6 generation printed OLED production line, marking a significant advancement in display technology [2] - Future efforts will concentrate on accelerating product technology innovation in smart terminals, semiconductor displays, and new energy photovoltaic sectors [2] Group 2: AI Integration - The rapid development of AI technology is reshaping global industry dynamics, and TCL plans to integrate AI deeply into R&D, manufacturing, and operations [2] - By 2025, TCL expects to generate over 1 billion yuan in comprehensive benefits through AI applications [2] - The company aims to enhance R&D efficiency, accelerate key technological breakthroughs, and improve manufacturing levels through AI-driven decision-making and supply chain management [2] Group 3: Long-term Goals - TCL's long-term vision includes achieving global leadership in core industries and national leadership in other sectors, while focusing on high-quality development [4] - The company emphasizes the importance of a global perspective and a sense of national responsibility in navigating the challenges and opportunities of the current economic landscape [4] - As TCL celebrates its 45th anniversary, it aims to seize opportunities for high-quality development in the context of global changes [4]

Core Viewpoint - The arrival of the all-media era reshapes the information dissemination landscape and presents opportunities for innovation in the discourse system of ideological and political education at party schools. The article explores the paths for innovating this discourse system through narrative reconstruction, media integration, and situational construction, aiming to provide a reference for building a powerful, contemporary, and effective discourse system for ideological education at party schools [1]. Group 1: Narrative Reconstruction - Narrative reconstruction is essential for innovating the content of ideological education discourse by transforming abstract and grand expressions of the party's innovative theories into engaging, contemporary, and penetrating teaching content [2]. - The first dimension involves shifting the narrative perspective from "one-way communication" to "two-way dialogue," fostering an empathetic discourse relationship that connects theoretical propositions with individual experiences and social realities [2]. - The second dimension focuses on transforming narrative logic from "grand abstraction" to "concrete and perceptible," embedding theoretical discourse into specific scenes, characters, and event details to enhance memorability and persuasiveness [3]. - The third dimension emphasizes expanding narrative carriers from "static texts" to "multi-dimensional situations," utilizing audiovisual arts, real-space environments, and digital technologies to create immersive narrative fields [3]. Group 2: Media Integration - Media integration innovation in party school ideological education involves systematically integrating communication channels, technologies, and organizational forms to reconstruct the entire chain of discourse production, presentation, and reception [4]. - Channel integration aims to build a communication matrix that enhances effectiveness from "single coverage" to "full-domain reach," leveraging the authority of mainstream party publications and collaborating with multimedia platforms to transform theoretical courses into short video and audio formats [4]. - Technology integration empowers immersive communication, transitioning from "one-way transmission" to "two-way interaction" by incorporating cutting-edge technologies like AI, VR, AR, and big data analysis into course development and teaching processes [4][5]. Group 3: Situational Construction - Situational construction involves designing physical and digital realities to deeply integrate theoretical instruction, value guidance, and emotional experiences within concrete practice fields [6]. - The construction of "physical reality" spaces extends education from closed classrooms to real historical and contemporary sites, creating "walking ideological courses" that combine historical materials with real-world contexts [6]. - The construction of "digital virtual" spaces expands educational carriers from physical locations to virtual simulation environments, utilizing VR, AR, and metaverse technologies to create highly realistic historical scenarios and theoretical application contexts [6].

以下文章来源于脑极体 ，作者风辞远 脑极体 . 从技术协同到产业革命，从智能密钥到已知尽头 来源丨脑极体（ID： unity007 ） 作者丨 风辞 远 图源丨AI制图 "隔壁王哥学AI，给孩子辅导作业，给老婆设计穿搭，开公司年入百万。你再不学AI我就跟你离婚！" "谁说'中年学AI太晚'？40岁才是黄金学习期！你有20年经验打底，学AI比年轻人快3倍！" "老张，42岁，传统销售。学了AI后，用AI分析客户数据，季度业绩涨了3倍，现在升销售总监了！" 这时候他开始琢磨，要不然还是干点什么吧。要干就得干点朝阳行业。这时定睛一看，社交媒体上铺 天盖地都是AI，资本热钱相继融入，国家政策也支持。在微信群里一聊，朋友圈上一发，哥们朋友也 都说AI这行业能做，还有人夸他天生就是当老板的了，有眼光。老婆听说他要看看AI行业的机会也大 力支持，至少比天天窝在家刷手机打游戏，或者到酒吧一坐到半夜好多了。 来自四面八方的鼓励让老李下定了心思，他开始告诉自己"人啊还是得跟上时代"。 很多中年人开始学AI，都来源于内心要跟上时代的紧迫感。 或者换句话说，他们对被时代抛弃有着强 烈的恐惧感。他们或许已经进入半退休状态，但还是想要东 ...

来看这样一个试验： 如果您已经在心中吐槽，问高中生这种问题是不是太"小儿科"了，那么学生们的答案可能会让您惊掉下 巴：在场80%的学生竟然都回答了"固态"。 在美国某高中的化学课上，化学老师问学生："25摄氏度的水是什么形态？" 原来，"摄氏度"这个概念对美国学生而言实在是太陌生了，英制中的"华氏度"才是他们更为熟悉的概 念。 和利比里亚、缅甸一样，美国是目前全球范围内仅有的几个仍在官方层面或实际生活中使用英制的国 家，连英制的"祖国"英国都改用公制了。 在英制计量系统中，比较常见的长度单位包括英尺、英寸等，常用的重量单位则包括磅、盎司等，且大 多数单位都可以追溯到人体或者日常用品。比如，1英寸据说就是历史上某任国王拇指指节的长度，约 等于2.54厘米；而英尺则与脚的长度有关，后来才演变为30.48厘米的固定长度。 那英制单位间该怎么换算呢？与公制的"1千米"等于"1000米"这样超级简单的换算方式相比，英制单位 间的换算可就麻烦多了。比如，1英尺等于12英寸，1英里等于5280英尺。如果想要在英制和公制之间进 行换算，那就更让人眼花缭乱了——1英里约等于1.6千米、1磅约等于454克、0摄氏度等于32华氏 ...

Core Viewpoint - Hedge funds achieved their highest overall returns in at least five years in 2025, driven by significant gains in the U.S. stock market, particularly in the AI sector, and volatility in the bond and currency markets due to trade tensions [1][3]. Performance Highlights - Bridgewater's flagship fund, Pure Alpha II, recorded a historic return of 34%, marking a significant recovery from annual returns below 3% from 2012 to 2024 [1][2]. - The Melqart Opportunities Fund led the performance with a return of 45.1%, while other notable funds included Bridgewater's Asian Macro Fund at 37% and the All Weather Fund at 20% [4][6]. - D.E. Shaw's flagship multi-strategy fund, D.E. Shaw Composite, achieved an 18.5% return, and its Oculus fund reached 28.2% [2][10]. Strategy Analysis - The strong performance of hedge funds is attributed to the flexibility of event-driven strategies, which capitalize on corporate mergers and restructurings amid increasing trade policy uncertainties [7]. - Multi-strategy funds showed varied performance, with Dymon achieving 18.1% and ExodusPoint at 18.04%, while industry giant Millennium only managed a 10.5% return [12]. - In the long/short equity strategy category, Soroban Opportunities delivered a robust 25% return, significantly outperforming the market [13]. Market Context - The U.S. stock indices recorded double-digit annual gains for the third consecutive year, a trend not seen since 2019-2021, with 14 out of 25 major hedge funds outperforming the S&P 500's 16.7% increase [3][5]. - Bridgewater's assets under management reached approximately $92 billion, reflecting its strategic shift towards AI-driven investment decisions [6][11].

陪跑中国家族办公室行业 以下文章来源于家办新智点 ，作者foinsight 家办新智点 . 一位亿万富豪匿名写道： "衡量人生的货币是时间，而不是金钱。你会非常认真地思考如何花掉一美 元，同样也应该非常认真地思考如何花掉一个小时。" 忘掉MBA——如果你想成为亿万 富翁，先翻开一本书 在一个技术驱动的时代，像ChatGPT这样的工具可以在几秒钟内总结数百页内容，坐下来读一本书似 乎显得低效。 但许多全球最成功的商业领袖长期以来一直主张相反的观点： 深度阅读依然是构建持久知识体系的 最快方式之一。 本文来自微信公众号： 家办新智点 ，作者：foinsight，题图来自：视觉中国 近日，海外研究机构发布了《与全球最富有家族的对话》报告，深入剖析了全球最具影响力家族的生 活和思维模式。该报告调研了全球110位亿万富豪家族负责人，受访者的净资产合计超过5000亿美 元。 研究显示，阅读是全球一些最富有家族最常提及、与成功密切相关的习惯，此外锻炼、持续性以及早 起同样是长期成功的重要因素。但在多次访谈中，有一个主题尤为突出： 对时间使用的高度刻意与 自觉。 微软联合创始人比尔·盖茨曾表示，阅读是他学习体系的核心组成部分 ...

大家有没有刷到过类似的短视频？如果没有可能是你年纪不对。但是别急，还有老年学AI和青年学AI的版本在等候着你。但近段时间很多人都发现了一 个现象，身边在短视频平台购买AI课程的中年男性正在急速增加。他们还会把自己学AI的成果源源不断分享到朋友圈，或者做成新的短视频。 "隔壁王哥学AI，给孩子辅导作业，给老婆设计穿搭，开公司年入百万。你再不学AI我就跟你离婚！" "谁说'中年学AI太晚'？40岁才是黄金学习期！你有20年经验打底，学AI比年轻人快3倍！" "老张，42岁，传统销售。学了AI后，用AI分析客户数据，季度业绩涨了3倍，现在升销售总监了！" "学AI"这件事，竟然在中年男性群体中呈现出了一种病毒式裂变。为什么AI课程会跳过年轻人直达中年？中年大哥前赴后继学AI背后，有哪些心理动因 和社会因素？最终等待他们的，为什么可能是如同老年人买保健品一样的欺诈陷阱？ 我们来复盘一些，让一位中年大哥学AI，总共分几步。 步骤一："还是得跟上时代" 大哥们学AI，一般来说都有一个统一的心理起手式：看看新东西也无妨。 家住背后的老李，原来是做外贸行业的。这几年行情不行，自己的公司也就顺水推舟关掉了。但老李颇有积蓄，吃喝 ...

Group 1: AI Landscape in 2025 - The year 2025 marked significant advancements in AI, with DeepSeek emerging as a major player, positioning China as a key leader in the global AI landscape [1] - The commercialization of embodied intelligence applications, such as humanoid robots, opened new avenues for business [1] - The rapid iteration of AI large models has led to both excitement and anxiety regarding investment bubbles [1] Group 2: AI Adoption Challenges - Many companies struggle with AI adoption, with two-thirds of surveyed firms reporting they have not achieved scalable AI applications [2] - A significant number of companies believe AI applications have not yet made a notable impact on profits, indicating that most are still in the early stages of realizing AI's value [2] - The concept of "AI-native" has emerged, emphasizing a complete rethinking of business processes and models centered around AI [2] Group 3: Embodied Intelligence - Embodied intelligence gained traction in 2025, with competition among tech companies intensifying [4] - Predictions suggest a significant explosion in the market for embodied intelligence by 2026, with the humanoid robot market potentially reaching $5 trillion by 2050 [4] - Analysts caution that the gap between technological vision and market reality may pose challenges for the development of embodied intelligence [4] Group 4: Investment Bubble Concerns - The AI sector has sparked debates about potential investment bubbles, with optimists viewing current investments as foundational for future growth, while pessimists warn of overheating [7] - By the third quarter of 2025, concerns about overvaluation in the AI market became pronounced, with significant stock price fluctuations among AI-related companies [7] - The World Economic Forum highlighted that while $500 billion was invested in AI in 2025, tangible returns have yet to materialize [7] Group 5: Safety and Ethical Concerns - Experts predict the imminent arrival of a superintelligent era, raising concerns about the boundaries of AI capabilities [9] - Current AI models exhibit limitations in complex task handling, leading to discussions about the fundamental flaws in existing technologies [9] - A call for a pause in the development of superintelligent systems was made by over 800 experts, emphasizing the need for a consensus on safe and controllable AI development [10]

Core Insights - The hedge fund industry is expected to achieve its strongest performance in at least five years in 2025, driven by market volatility from the Trump administration's trade war, which has created lucrative opportunities for traders [1][2] - Bridgewater Associates' flagship fund, Pure Alpha II, recorded a historic return of 34%, marking a significant recovery from the previous years' returns of less than 3% [1][4] - The overall performance of hedge funds in 2025 is characterized by a mix of strategies, with event-driven funds leading the pack [5][6] Performance Summary - **Top Performing Funds**: - Melqart Opportunities Fund achieved a return of 45.1%, the highest among major hedge funds [5] - Bridgewater's Asian fund recorded a return of 37%, while both Pure Alpha II and Bridgewater China achieved 34% [4] - D.E. Shaw's Oculus fund returned 28.2%, and its Composite fund achieved 18.5% [6] - **Market Context**: - The strong performance of hedge funds is attributed to significant gains in the U.S. stock market, particularly driven by artificial intelligence themes, and the volatility in bond and currency markets due to trade tensions [2] - In 2025, the three major U.S. stock indices recorded double-digit annual gains for the third consecutive year, a trend not seen since 2019-2021 [2] Strategy Performance - **Event-Driven Funds**: - Event-driven strategies have shown flexibility and adaptability, with Melqart Opportunities leading at 45.1% and Kite Lake Special Opportunities at 17.9% [5] - **Multi-Strategy Funds**: - D.E. Shaw's flagship funds outperformed market benchmarks, with Oculus achieving a return of 28.2% and Composite at 18.5% [6] - Other multi-strategy funds displayed varied performance, with Dymon at 18.1% and Millennium at 10.5%, which did not outperform the S&P 500 [6][8] - **Equity Strategies**: - Equity long/short strategies showed significant divergence, with Soroban Opportunities at 25% and Anson Investments Master at 21.2% [7] - Other equity funds like Schonfeld's Fundamental Equity and Marshall Wace's Eureka recorded returns of 16.5% and 11.6%, respectively [7] Quantitative Strategies - **Quantitative Funds**: - Winton's multi-strategy fund had the lowest return at 7.4%, while AQR Capital Management's Apex Strategy achieved a 19.6% increase [8]

第一篇为伯恩斯坦（Bernstein）发布的研报《亚洲半导体与全球存储器：2026 年仍将是 AI 的天下》。 报告指出，当前已具备充分的可见性，2026 年人工智能加速器（XPU）的需求将呈现爆发式增长，诸 多关键供应链环节（如晶圆级系统集成技术 CoWoS、存储器、逻辑晶圆等）均面临供应紧张的挑战， 难以匹配市场需求。 另一篇则是摩根士丹利（大摩）发布的存储芯片专题研报《2026 年 —— 从优秀到卓越》。大摩在报告 中强调："我们仍处于 AI 发展的起点，而非终点。" 大摩认为，市场通常会提前 6-9 个月反映预期，而新一年度的市场主线仍将围绕 AI 展开。尽管 AI 领域 近期成果显著，但 ChatGPT 诞生至今仅三年时间，具备 1GW 算力规模的运营数据中心尚未落地；行业 专家指出，预训练模型的发展 "尚无可见天花板"，而随着技术的广泛普及，推理端的应用需求正趋向 无限。 目前，我们对 AI 的发展方向已有更清晰的认知，但对于如何匹配海量存储器的供应需求，仍存在诸多 不确定性。从模型向系统架构演进的过程中，AI 模型可通过提升算力规模与优化运行效率实现巨大的 性能提升空间。但对于存储器行业而言，制 ...