真正的技术突破在1967年才到来，美国通用电气公司研制的"Hardiman"外骨骼机器人原型机横空出世。这款 原型机采用半仿生构型设计，通过液压驱动，并且存在力量反馈系统，包含30多个动力关节，能辅助普通 人轻松举起一百多公斤的物体。然而，"Hardiman"680公斤的自重、迟缓的动作节奏和惊人的能耗，严重限 制了该机器人项目的落地。不过，它的诞生依然为外骨骼机器人的未来探索指引了方向。 在泰山十八盘的陡峭石阶上，一位白发登山者轻松越过年轻游客的队伍。他腰腿都包裹着流线型金属支架，步 伐稳定而轻快——这不是科幻电影里的场景，而是泰山景区内常见的真实画面。80元租用3小时的外骨骼机器 人，正让曾经遥不可及的"机械战甲"走进普通人的生活。 所谓外骨骼机器人，是一种通过机械结构与人体关节紧密耦合，增强或替代人体上肢、下肢运动能力的智能辅 助设备，宛如为人体安装了"物理外挂"，赋予人们应对各类体力挑战的非凡能力。 就如电影《钢铁侠》中，托尼·斯塔克的能量战甲让他成为名副其实的钢铁侠，《流浪地球》中的动力装甲为人 类在极端环境下的生存和工作提供了强大的支持，在现实中，除了户外运动，外骨骼机器人还被应用至工业、 医疗、 ...

Core Viewpoint - The article highlights the growing trend of "emotional consumption" among young consumers, emphasizing their unique purchasing behaviors driven by personal satisfaction and self-expression [2][4][7]. Group 1: Trend of Emotional Consumption - Young consumers are increasingly influenced by emotional value in their purchasing decisions, seeking products that resonate with their individuality and provide joy [2][4]. - The "潮玩" (trendy toys) market in China has seen significant growth, with market value increasing from 6.3 billion yuan in 2015 to 60 billion yuan in 2023, and projected to reach 110.1 billion yuan by 2026 [4]. - The popularity of products like LABUBU, which embodies a "cute-ugly" aesthetic, reflects the desire of Generation Z for unique and non-conformist expressions [4][5]. Group 2: The "谷子" Economy - The "谷子" economy, referring to merchandise derived from popular media, is projected to reach a market size of 168.9 billion yuan in 2024, growing over 40% from 2023 [7]. - This segment thrives on the emotional connection fans have with their favorite characters and stories, serving as a medium for social interaction among enthusiasts [7]. Group 3: Pet Economy - The pet industry is booming, with the number of pet dogs and cats in urban areas expected to exceed 120 million by 2024, indicating a strong trend among young people to treat pets as family members [8][9]. - Young pet owners are increasingly focused on high-quality, nutritious pet food and personalized services, driving a shift towards premium products in the pet market [9][10]. Group 4: Home Renovation Trends - The home renovation trend among young renters is characterized by a focus on aesthetic improvements and personalized spaces, with a significant online presence on platforms like Xiaohongshu [11][12]. - Young consumers prioritize cost-effectiveness while also being willing to invest in high-quality, stylish home decor items [16]. Group 5: New Tea Beverage Market - The new tea beverage market has become a social currency among young people, with brands rapidly emerging to cater to diverse tastes and preferences [17][18]. - The emotional satisfaction derived from these beverages contributes to their popularity, as they serve as a means to alleviate stress and enhance social interactions [18]. Group 6: Light Outdoor Activities - The "light outdoor" trend is gaining traction, with activities like camping and short trips becoming popular among young consumers seeking immediate enjoyment and relaxation [21][22]. - The camping economy is projected to reach nearly 214 billion yuan in 2024, reflecting a growing interest in outdoor experiences as a form of social engagement [21]. Group 7: Emotional Healing Products - There is a rising demand for products and services that address emotional well-being, including mindfulness and therapeutic offerings, as young consumers seek comfort amid various pressures [23]. - The willingness to spend on emotional value indicates a shift in consumer behavior, with a focus on experiences that enhance mental health and happiness [23].

Core Insights - The article introduces xbench, an open-source AI benchmarking tool aimed at quantifying the effectiveness of AI systems in real-world scenarios and utilizing a long-term evaluation mechanism [1] - The launch of xbench has generated significant interest from both large enterprises and startups, with increasing demand for product testing using the xbench evaluation sets [1] - The initiative aims to foster collaboration within the AI community by providing transparent and open-source resources [1] Group 1: xbench Evaluation Sets - The xbench-ScienceQA evaluation set focuses on high-quality, multi-disciplinary questions sourced from top academic institutions and industry experts, addressing the limitations of existing benchmarks [2] - The average accuracy of the xbench-ScienceQA set is 32%, with one-third of the questions having an accuracy below 20%, indicating a high level of difficulty and differentiation among models [12][10] - The xbench-DeepSearch evaluation set is designed to assess the deep search capabilities of AI agents, emphasizing the need for comprehensive planning, searching, reasoning, and summarization skills [3] Group 2: Evaluation Methodology - The xbench-ScienceQA set includes 77 Q&A questions, 14 multiple-choice questions, and 9 single-choice questions, with a focus on reducing the impact of single-choice questions on scoring [8] - The question construction process for both evaluation sets involves rigorous validation to ensure the uniqueness and correctness of answers, with a focus on avoiding easily searchable content [6][13] - Both evaluation sets will be continuously updated, with monthly performance reports and quarterly updates to maintain relevance and accuracy [2][3] Group 3: Community Engagement - The article encourages AI enthusiasts, model developers, and researchers to participate in the ongoing development and testing of AI technologies through xbench [31] - Contact information is provided for those interested in contributing to the evaluation sets or seeking feedback on their models [32]

Group 1 - The core viewpoint of the article emphasizes the importance of HongShan Value+ as a key component in connecting entrepreneurial companies with top universities, facilitating internships and employment for students [1] Group 2 - Member companies benefit from exclusive advantages such as enhanced employer attractiveness through the Sequoia brand [4] - The recruitment process is made more efficient and cost-effective by utilizing specialized recruitment channels [5] - There is a focus on data sharing, which includes sharing recruitment methodologies and industry data among member companies [5]

Core Viewpoint - The article highlights the increasing frequency and intensity of extreme weather events due to climate change, emphasizing the urgent need for global action to mitigate these effects and achieve the 1.5°C temperature control target [2][3][17]. Group 1: Extreme Weather Events - The World Meteorological Organization (WMO) reported that the past decade has been the hottest on record, with human activities significantly altering climate patterns and increasing the occurrence of extreme weather events [3][17]. - A study indicates that children born after 2020 are likely to experience extreme weather events 2 to 7 times more than those born in 1960, depending on the type of climate disaster [18][19]. Group 2: Impact of Air Pollution on Snowfall - Research from the University of Tartu found that industrial aerosols can enhance snowfall by affecting cloud properties, leading to increased snowfall in polluted areas [5][6][11]. - The study identified 67 locations where pollution sources, primarily industrial facilities, influenced cloud formation and snowfall, with one event covering an area of 2,200 square kilometers and resulting in 15 mm of snowfall [6][9]. Group 3: Mediterranean Hurricanes and Flooding - The Mediterranean hurricane "Daniel" caused unprecedented flooding in Libya, with rainfall reaching 400 mm in 24 hours, 267 times the average daily rainfall for September [15][16]. - Climate change has intensified Mediterranean hurricanes, increasing their strength and likelihood of landfall, which poses significant risks to arid regions like Libya [14][16]. Group 4: Urgency of Global Climate Action - A study published in Nature outlines three global warming scenarios, indicating that without significant policy changes, the world could see a temperature rise of 2.7°C by 2100, far exceeding safe limits [21][22]. - The article calls for immediate action from countries and individuals to transition to renewable energy, innovate green technologies, and implement policy changes to combat climate change effectively [21][22].

Core Viewpoint - Personal growth is a lifelong journey that many struggle to understand, and Steve Pavlina outlines seven principles to guide individuals in achieving a fulfilling life [2][3]. Group 1: Energy Principle - Energy is defined as the ability to consciously create one's surrounding world, and developing personal energy is crucial for fulfilling needs and achieving meaningful goals [6][10]. - The lack of energy leads to neglecting one's needs and desires, resulting in diminished self-awareness [6][9]. - The six components of energy include responsibility, desire, autonomous choice, focus, effortful action, and self-discipline [6][10]. Group 2: Responsibility - Individuals must accept full responsibility for their lives, as avoiding this leads to a lack of energy and personal growth [7][9]. - Complaining about circumstances does not solve problems; acceptance of reality is essential for maintaining energy [8][9]. - Taking responsibility means being willing to put in the necessary effort to create the desired life [9][10]. Group 3: Desire - Desire serves as the driving force of energy, allowing individuals to pursue a life aligned with their true wants [9][10]. - It is important to acknowledge and embrace genuine desires, regardless of how unrealistic they may seem [10][11]. - Many people fail to connect with their true desires, leading to a lack of energy and happiness [10][11]. Group 4: Autonomous Choice - Autonomous choice involves the freedom to decide what one truly wants without seeking approval from others [11][12]. - Making conscious choices, especially during challenging times, is vital for energy management [11][12]. Group 5: Focus - True energy exists only in the present moment, and individuals must concentrate on the now to achieve their goals [12][13]. - Setting goals should enhance present focus rather than serve as a means to control the future [12][13]. - Goals that bring clarity and motivation in the present are more valuable than those that promise future happiness [12][13]. Group 6: Effortful Action - Transforming desired goals into reality requires taking action, driven by genuine motivation [13][14]. - The concept of the "law of attraction" is misunderstood; action is necessary to realize goals [14][15]. Group 7: Self-Discipline - Motivation and self-discipline are essential pillars of energy, with self-discipline being crucial for achieving long-term success [15][16]. - High levels of self-discipline enable individuals to overcome obstacles and maintain focus on their goals [15][16].

Core Insights - AI has emerged as a significant catalyst in the healthcare industry, influencing medical services, diagnostics, and drug development [4][6] - A recent survey by Bessemer, AWS, and Bain examined over 400 healthcare companies to understand their AI product purchasing decisions and usage strategies [4][6] AI in Healthcare - 95% of respondents believe AI will revolutionize the healthcare industry, with over 80% of healthcare providers and leaders expecting AI to reshape clinical decision-making in the next 3 to 5 years [6][7] - The primary areas of impact identified are clinical decision-making and automation to reduce labor costs, with some respondents also recognizing revenue growth potential [7] Drug Development Concerns - Only 57% of pharmaceutical executives believe AI will drive the discovery of most new therapies in the next decade, indicating caution due to the complexity and lengthy cycles of drug development [8] AI Strategy and Governance - Only half of the healthcare companies have a clear AI strategy, and 57% have established AI governance committees. However, 54% of companies reported meaningful ROI in the first year of AI application [10][12] - Nearly half (45%) of the use cases are still in the concept or proof of concept (POC) stage, with medical service providers leading in POC experiments [10][12] Barriers to AI Adoption - The main barriers to scaling AI include security concerns (61% for payers, 50% for providers), lack of internal AI expertise (41% for payers, 48% for providers), high integration costs (51% for payers), and challenges in preparing AI-ready data (47% for pharma) [17] - Financial constraints are not the primary obstacle, as 60% of respondents believe AI budgets are growing faster than general IT budgets [17] Startup Dynamics - Over half (54%) of executives are satisfied with early-stage startups and willing to collaborate, but only 48% prefer innovative startups over established tech companies [18][19] - Less than 15% of AI projects are sourced from startups, as many healthcare companies prefer to build AI tools in-house or procure from existing suppliers [19] Strategies for Startups - Successful startups should focus on high-impact scenarios and expand their offerings to adjacent processes, enhancing user engagement and meeting broader needs [22] - The AI Dx Index created from survey data helps identify opportunities and adoption scores, guiding startups on where to focus their efforts [23][24] Proving ROI - Startups must demonstrate quantifiable impacts of their AI products to move beyond the POC stage, with 60% of respondents expecting positive ROI within 12 months [27][28] - Engaging key stakeholders early in the process is crucial to address challenges related to data governance, security, and integration [28] Collaborative Development - 64% of buyers are open to co-developing solutions with startups, emphasizing the need for startups to position themselves as partners rather than mere vendors [29] - Successful AI startups should involve clients in product roadmaps and feedback loops to build trust and foster long-term relationships [29] End-to-End Workflow Integration - Startups should focus on end-to-end workflows and invest in deep integrations with relevant software to enhance retention and reduce security risks [30][31] - The complexity of workflows necessitates a focus on high-frequency, high-precision use cases, with an emphasis on user-friendly interfaces [31] Aligning Business Models - AI applications present an opportunity to capture a larger share of healthcare spending, as traditional software vendors have only tapped into a small fraction of the value created [32] - Companies that can clearly demonstrate ROI will be better positioned to secure budgets and resources for AI initiatives [32] Future of AI in Healthcare - The future winners in AI healthcare will be those who deeply integrate into workflows, provide measurable ROI, build trust with decision-makers, and reimagine complex problem-solving approaches [34][36]

内向≠缺陷，而是被误解的天赋 [ 编者按 ]内向的人比外向的人更难获得成功吗？事实并非如此。I人自有他们的"隐藏力量"。 沃伦·巴菲特也曾说过，自己是一个害羞的内向者，而他懂得如何发挥自己内向性格的优势——他能花好几个小 时仔细研究财务文件，同时还会非常谨慎地挑选经理，然后真正地授权并依赖这些人。 内向者其实更擅长通过一对一的交流建立深层次的关系，也更擅长控制自己的情绪、做出谨慎的决策。今天我 们摘编了畅销书《安静，内向性格的竞争力》的作者Susan Cain的一期播客内容，探讨了I人如何在职场和生活 中发挥自身优势并取得成功的实用策略。 每期监测和精编全球高价值情报，为你提供先人一步洞察机会的新鲜资讯，为你提供升级思维方式的深度内 容，是为 [ 红杉汇内参 ] 。 内向者可以借助好的策略有效地社交和工作。 或许你会迷惑：怎么样才能判断自己是否内向？你可以想象这两个场景： · 在你参加完两个小时的聚会后，你是感到精力充沛并想继续待下去，还是感到疲惫并想离开？ · 你会怎样度过一个完全没有任何社交和工作上的义务的周末？你会把它分配给一两个亲密的朋友或家人， 还是会期待参加一个满是不太熟悉的人的聚会？ 内向者并非 ...

Group 1 - The core viewpoint of the article revolves around the evolving role of AI from a mere tool to a collaborative partner, emphasizing its increasing integration into daily life and various industries [2][3][5] - AI is transitioning from being a novelty to a companion, evolving from efficiency tools to life interfaces, with a focus on user engagement metrics shifting from Daily Active Users (DAU) to Daily Presence Duration (DPU) [5][6] - The emergence of "physical agents" and the application of AI in sectors like agriculture, healthcare, and manufacturing are highlighted, showcasing AI's potential to replace traditional processes and enhance productivity [5][6] Group 2 - Jeffrey Hinton discusses the rapid advancements in AI capabilities, particularly in reasoning, and suggests that human abilities are not inherently irreplaceable by machines [7][9][10] - Hinton posits that AI could potentially exhibit emotions, drawing parallels between human emotional responses and AI's cognitive behaviors, indicating a blurring line between human and machine capabilities [10] - Kevin Kelly emphasizes the diversity of AI applications, advocating for a decentralized approach where specialized AIs can operate independently, thus fostering innovation and reducing data monopolies [11][13][14] Group 3 - Demis Hassabis expresses optimism about AI's potential to solve significant global challenges, such as disease and climate change, while also highlighting the need for responsible development and international cooperation to manage risks [16][18][19] - Hassabis warns of the unknown risks associated with AI, advocating for thorough research to quantify these risks and ensure that powerful technologies are aligned with human values [20]

你发现了吗？有时候高薪福利未必能换来员工的忠诚，但一句真诚的"你做得超棒"就能让TA全力以赴。这背后 藏着什么法则？ 从17世纪霍布斯在《利维坦》中写下"趋利避害是人性本质"，到弗洛伊德用"生死本能"解构人类行为，人类对动 机的探索从未停歇。但直到行为经济学之父丹尼尔·卡尼曼提出"前景理论"，我们才真正读懂：职场中的激励， 从来不是简单的"胡萝卜加大棒"。 现在，动机理论已经进化成企业管理的"科学激励理论"——无论是提升员工留任率，还是构建高绩效团队，理 解这些理论的本质与适用场景，已成为组织竞争力的关键。 本文节选自《30天精读MBA》，有删减。荐读之。 《30天精读MBA》 作 者 ： [ 英 ] 科 林 · 巴 罗 出版时间：2 0 2 5年1月 出版社： 中信出版集团 作为学术研究的一个对象，动机研究算是一门相对较新的"科学"。17世纪的英国哲学家托马斯·霍布斯提 出， 理解人性的根本目的在于进行自利性的合 作 。他认为动机可以概括为围绕痛苦或享乐做出的各种选 择。 西格蒙德·弗洛伊德同样言简意赅地指出，人类只有两种基本需求： 生的本能和死的本能 。正是这些观点动 摇了历史悠久的"胡萝卜加大棒"动机法 ...