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重塑百年人生:长寿时代的生存与工作新范式
3 6 Ke· 2026-02-12 07:30
Core Insights - The traditional "education-work-retirement" life model is rapidly evolving, necessitating a redesign of life and work trajectories to maintain vitality and meaning in an era where people may live to 90 years old [2] - The focus is shifting from merely extending lifespan to enhancing "healthy lifespan," emphasizing quality of life without major diseases or disabilities [2] - This transformation impacts various systems, including education, career planning, pension systems, and social policies, requiring a holistic approach to health and work [2] Group 1: Economic Implications of Health Investment - Investing in employee health is now viewed as a clear economic strategy rather than just a benefit, with McKinsey estimating that improving population health could create trillions in economic value [3] - By 2040, employers could provide an average of 19.4 additional healthy years per employee through significant investments in prevention and health navigation [3] - The workplace, occupying nearly one-third of life, is a critical leverage point for promoting health and longevity [3] Group 2: Trends in Longevity Economy - The "longevity economy," driven by the aging population, is projected to reach $12 trillion by 2030, becoming one of the fastest-growing sectors globally [7] - The elderly are transitioning from passive consumers to active seekers of health and social engagement, leading to new business models and product categories [7] - The global market for nutritional supplements is expected to reach $10.7 billion by 2024 and double by 2033, indicating a growing demand for health-related products [9] Group 3: Workforce Dynamics and Intergenerational Collaboration - Organizations are now managing teams across six generations, with many employees expected to have careers lasting over fifty years, highlighting the need to harness the potential of older workers [11] - Inclusive leadership and diverse age structures in teams have been shown to enhance creativity, adaptability, and financial performance [11] - Companies are implementing flexible retirement plans and lifelong learning accounts to support longer career lifecycles and retain valuable experience [8] Group 4: Social Media's Role in Health Perception - Social media is a primary battleground for shaping public perceptions of longevity, with a significant portion of adults identifying as "biohackers" and relying on social media for health information [13] - The democratization of health knowledge through social media presents both opportunities and risks, as misinformation can spread rapidly [14] - Companies can leverage internal health advocates to promote reliable health information and foster a culture of wellness among employees [14]
超43%人高频买花:情人节之外,千亿礼品花市场正被即时零售深度重构
3 6 Ke· 2026-02-12 07:10
随着今年情人节临近,节日经济也在不断升温,一个千亿级市场正借"即时零售"的东风悄然焕新。表面上是平台和商家关于节日营销的角逐,实则是从场 景、产业到消费心智的一场深度变革。鲜花这一古老的情感媒介,正成为洞悉这场变革的最佳切片。 市场轮廓:一个千亿赛道的进击之路 截至2025年,我国礼品花市场规模已突破千亿元,且近年来年均复合增长率均保持在10%以上,礼品花的市场在持续扩容。 线上渠道已然成为增长的核心渠道,据国家统计局及行业协会的数据显示,我国礼品花线上交易平台的交易额占比已超过40%。 特别以"线上下单、30分钟送达"为代表的即时零售渠道,正深刻改变着整个行业生态,节日期间,美团闪购、淘宝闪购等平台鲜花订单量常呈倍数级增 长,这也进一步印证了即时零售模式对礼品花消费习惯的深刻塑造。 但比数字更值得关注的,是消费动机的转变。数据显示,年均购买礼品花3-5次的消费者群体占比已达到43.28%。这意味着,鲜花正加速剥离其单纯的"节 日礼品"属性,向日常情感表达和生活美学消费品的角色渗透,品质化、仪式感的消费驱动,也是支撑礼品花市场持续增长的内生动力。 为了兑现"30分钟送达"的承诺,整个产业链的后端都被迫进行了一 ...
DeepAgent与DeepSearch双双霸榜,答案指向openJiuwen这一新兴开源项目
3 6 Ke· 2026-02-12 07:06
Core Insights - The article highlights the emergence of advanced AI agents, particularly focusing on DeepAgent and DeepSearch, which have achieved top rankings in the GAIA and BrowseComp-Plus benchmarks respectively, indicating a significant leap in AI capabilities [1][20]. Group 1: GAIA Benchmark Insights - DeepAgent, built on the openJiuwen platform, achieved a score of 91.69%, surpassing competitors like NVIDIA's Nemotron, showcasing its superior capabilities in general agent tasks [2][10]. - GAIA is a rigorous benchmark designed to evaluate AI agents on 12 core competencies, including long-term task planning and multi-modal understanding, with a scoring system that emphasizes real-world task execution [6][4]. - The average success rate for human participants in GAIA is around 92%, while leading AI models like GPT-4 only achieve about 15%, highlighting the benchmark's challenging nature [6][10]. Group 2: DeepAgent's Capabilities - DeepAgent's design allows it to dynamically adjust plans based on real-time feedback, ensuring task completion even in changing environments [12][13]. - It features a multi-layered context engine that maintains cognitive consistency and traceability throughout complex tasks, enhancing the reliability of its outputs [15]. - The agent employs an asynchronous tool orchestration system, enabling efficient and reliable execution of diverse tasks by coordinating various external tools [16][17]. Group 3: BrowseComp-Plus Benchmark Insights - DeepSearch, also based on openJiuwen, achieved an accuracy of 80% in the BrowseComp-Plus benchmark, demonstrating its strength in deep search and web interaction capabilities [20][24]. - BrowseComp-Plus evaluates agents on their ability to perform multi-hop retrieval and cross-source information integration, making it a critical measure of an agent's practical capabilities [23][24]. - The benchmark employs a fixed human-validated corpus to ensure fairness and reproducibility in its assessments, avoiding biases from real-time web dynamics [23]. Group 4: Technological Foundation - Both DeepAgent and DeepSearch leverage the openJiuwen platform, which provides a comprehensive framework for developing high-precision, high-efficiency AI agents [30][31]. - openJiuwen supports multi-agent collaboration and self-evolution, allowing agents to continuously improve their performance through a closed-loop optimization process [31][32]. - The platform has already been commercialized in various sectors, including finance and manufacturing, indicating its broad applicability and potential for future growth [31].
Anthropic正式请家教,37岁女哲学家像养孩子一样调教Claude
3 6 Ke· 2026-02-12 07:06
【导读】一位牛津哲学博士,正在Anthropic教全球顶尖AI模型如何「做人」。这场跨物种的「育儿实验」,比科幻更炸裂。 她留着朋克短发,每天如慈母育儿一般,与AI谈论善恶,为Claude——这个全球顶尖AI模型植入「人类的灵魂」。 她就是Anthropic的「驻场哲学家」Amanda Askell。 Amanda不是那种写代码的极客,而是一位学哲学的文科学霸。 她来自苏格兰乡村,曾在牛津大学、纽约大学攻读哲学,并于2018年获得纽约大学哲学博士学位。 https://www.anthropic.com/constitution Anthropic驻场哲学家Amanda Askell,负责Claude的「角色」(Character)工作 Amanda自14岁起就立志要教授哲学,那时的她还不知道,自己唯一的学生竟会是一个叫「Claude」的AI模型。 作为Anthropic的「驻场哲学家」,她每天的工作是研究Claude的推理方式,与它交谈,并用长达100多页的提示词来塑造它的「人格」,修正它的各种 「跑偏」。 Amanda的目标是赋予Claude一种道德感,一种指引它每周与数百万人对话的「数字灵魂」。 Ant ...
百度App或将于2月13日正式上线OpenClaw
3 6 Ke· 2026-02-12 06:04
Group 1 - OpenClaw has been deployed across multiple internet platforms in China [1] - The Baidu App is expected to officially launch OpenClaw on February 13 [1]
3nm AI网络芯片来了,102.4Tbps带宽,专为Agent时代设计
3 6 Ke· 2026-02-12 04:41
Core Insights - Cisco has launched the 3nm Silicon One G300 switch chip, optimized for AI cluster networks, providing 102.4 Tbps Ethernet switching capacity per device [1] - The G300 supports 1.6T Ethernet ports and integrates Cisco's proprietary 200Gbps SerDes, enabling low power consumption, high performance, and extended transmission distances [1] - The G300 will power the new Cisco N9000 and Cisco 8000 systems, featuring innovative liquid cooling and supporting high-density optical devices [1] Intelligent Collective Network - The Silicon One G300 introduces intelligent collective network features to enhance performance and reliability for large-scale GPU clusters [2] - It includes a fully shared packet buffer of 252MB, allowing for 2.5 times higher burst traffic absorption compared to industry alternatives, preventing performance degradation [2] - Path-based load balancing directs traffic across all possible network paths, responding to congestion events 100,000 times faster than software tuning [2] - Active network telemetry provides programmable session-level diagnostics, helping customers proactively identify and resolve network issues [2] Measurable Benefits - Simulations show that the larger packet buffer increases network throughput by 33%, supporting higher GPU interconnect traffic without additional network capacity [3] - Job completion time (JCT) is reduced by 28% compared to advanced packet spraying implementations, significantly improving AI computing efficiency [3] - Integrated telemetry and visualization capabilities minimize software intervention, allowing seamless handling of diverse workloads [3] Future-Ready Infrastructure - The Silicon One G300 utilizes adaptive packet processing technology, allowing upgrades without hardware replacement, addressing financial and operational challenges of deploying new data center equipment [5] - Its programmability enables optimization for various roles, reducing hardware SKUs and simplifying inventory management [5] - New features can be introduced post-deployment, ensuring consistency in mixed-generation deployments and protecting long-term infrastructure investments [5] AI Workload Support - Cisco has expanded the Silicon One P200 product line, introducing the new Cisco 8000 and N9000 Ethernet systems to support AI networks of various scales [7] - The systems, powered by the G300, feature liquid cooling and air cooling designs, achieving nearly 70% energy efficiency improvements [7] - The introduction of 1.6T optical devices provides ultra-high bandwidth connections for AI expansion solutions [7] Unified Management Platform - Cisco is optimizing Nexus One through a unified management platform, integrating silicon, systems, optics, software, and programmable intelligence into a single solution [9] - The introduction of AI Canvas and AgenticOps facilitates easier troubleshooting and transforms complex issues into actionable solutions [9] Conclusion - Cisco's approach, including the Silicon One G300, prioritizes network efficiency and significantly reduces the total cost of ownership (TCO) for AI deployments [10] - The integrated method offers more choices, enhanced security, and deeper observability, supporting customers transitioning to AI-driven workloads [10]
负责,就是管好你自己的事
3 6 Ke· 2026-02-12 04:05
今天,想跟你探讨一个话题:负责。 究竟在公司里,什么是负责? 简单来说,负责就是管好你自己的事情。 01 公司里的指责闭环 如果一个人管不好自己的事情,往往就会去怪别人。有一位董事长提到过这样一个现象: 不仅能力差,态度也有问题,执行力不足,推一下动一下,没有任何积极性。自己安排的一点事情,他 们都做不好,能找到无数的理由和借口,认为实现不了,做不到。 中层也会强调,我需要的是能分担压力、主动解决问题的"伙伴",而不是需要我时刻监督、事事操心 的"伙计"。 企业的高层怪中层,中层怪员工,员工怪中层,中层又反过来怪高层,形成一个圈,却没有一个人真正 地负责,保质保量地做好自己的工作。 的确,很多公司都存在这样的情形。所有人都没有做好自己的事情,却在抱怨别人,相互甩锅,最后形 成了一个闭环。 1、高层怪中层 当一项战略没有成功,或者战略无法落地的时候,高层就会认为是中层的问题,会说:"我的战略很清 晰,为什么到你这里就走样了?全是中层的问题。" 高层也会责怪中层没有担当,只会向上甩锅,不敢做决策,将问题上交,他们也批评中层:"如果连决 策都不敢做,要你干嘛?" 在高层眼中,中层应该是"战略放大器",最后却成了"战 ...
天涯论坛又打复活赛,三年「复活」三次,1999元的创始会员割谁「韭菜」?
3 6 Ke· 2026-02-12 04:05
关停三年的天涯论坛,终于「复活」成功了? 近期,天涯神贴公众号发布官方消息,确认天涯论坛将于2026年6月1日恢复访问,同时启动「新天涯计划」,并宣布推出「新天涯创世成员产品服务包」, 计划招募9999位创始成员。据了解,天涯论坛在2023年因服务器欠费暂停网站浏览,期间曾多次发布「复活天涯」的众筹活动,但直至2026年才发布回归公 告。 (图源:天涯客) 作为曾经的中文互联网论坛顶流,天涯在过去二十七年时间里贡献了不少热议话题,是无数初代「网民」的集体记忆。但从这次宣布「新天涯计划」回归来 看,天涯论坛似乎与我们的青春回忆,越走越远了。 天涯,这次打赢「复活赛」了吗? 天涯论坛在2023年5月27日正式停止了网站的正常访问,更准确来说,是官方长期拖欠电信公司服务器费用,被强制关停。就在网站被关停的第二天,前天 涯社区执行总编宋铮等几位员工在社交平台开启直播,打出靠众筹复活天涯的口号。 而这场历时七天七夜的直播,最终的利润大约是20万元,距离目标的300万元,相差甚远。 事实上,天涯论坛的首次众筹复活,就已经暴露了天涯的问题。愿意为情怀真金白银支持天涯的用户并不算多,即使请了不少「天涯记忆里的熟面孔」,直 播 ...
本田怎么了?利润暴跌60%,电动化开始急刹车
3 6 Ke· 2026-02-12 03:59
Core Viewpoint - Honda, Japan's second-largest automaker, is facing significant financial challenges, with a 61.4% year-on-year drop in operating profit for the third fiscal quarter, marking the fourth consecutive quarter of decline and falling short of market expectations [1][4]. Financial Performance - For the third fiscal quarter, Honda reported an operating profit of 153.4 billion yen (approximately 987.07 million USD), down from 397.3 billion yen in the same period last year [4]. - Over the first nine months of the fiscal year ending December 31, 2025, Honda's total revenue was 15.98 trillion yen, a decrease of 2.2%, while operating profit plummeted by 48% to 591.5 billion yen [5][6]. - The net profit attributable to shareholders for the first nine months was 465.4 billion yen (about 3 billion USD), down over 42% from 805.2 billion yen in the previous year [5]. Business Segments - The motorcycle business remains a strong performer for Honda, with sales of 16.44 million units and operating profit of 546.5 billion yen, achieving a record operating margin of 18.6% [6][7]. - In contrast, the automobile business has seen a significant decline, with sales of 2.56 million units, a 9.1% year-on-year drop, and an operating loss of 166.4 billion yen [8][9]. Market Challenges - Honda's declining performance in the automotive sector is partly attributed to reduced sales in Asia, particularly in China, which has been a significant market for the company [9][11]. - The impact of U.S. tariffs on Japanese imports has been substantial, with Honda estimating a negative impact of 289.8 billion yen due to increased tariffs [14]. Strategic Adjustments - Honda plans to significantly adjust its electric vehicle strategy, focusing more on hybrid models and reducing its electric vehicle investment from 10 trillion yen to 7 trillion yen [18][20]. - The company aims to launch 13 next-generation hybrid models between 2027 and 2030, with a target to increase hybrid sales to 2.2 million units [20].
31省份人均收入排行榜:哪里的居民最有钱?
3 6 Ke· 2026-02-12 03:59
2025年,全国居民人均可支配收入43377元,比上年名义增长5.0%。这是国家统计局近日发布的统计数 据。 《财经》梳理各地统计局数据发现,上海、北京、浙江三地居民收入领跑全国。其中,上海市全年居民 人均可支配收入首次突破9万元大关,达91987元,居全国首位。北京紧随其后,达89090元;浙江首次 突破7万元,达70240元。 省份间收入梯队分明,全国31省中,共有东南沿海8省的人均可支配收入超过全国水平,23省份的居民 收入都低于全国平均水平。由于多数人的收入偏低,全国的收入中位数被拉低到36231元,仅为平均数 的83.5%。 为何高收入地区的居民收入普遍跑输GDP增速,官方统计的收入构成提供了一个观察的视角。 以北京为例,89090元的居民人均可支配收入涵盖四大项:居民人均工资性收入57376元,占比64.4%, 同比增长4.9%;人均经营净收入1109元,同比增长3.2%;人均财产净收入12287元,同比增长0.7%;人 均转移净收入18318元,同比增长4.9%。 年人均可支配收入在3万元到4.3万元之间,这是全国绝大多数省份居民所处的区间,包括内蒙古、辽 宁、重庆等22省,涵盖从东北到华中、西 ...