Core Viewpoint - The article discusses the launch of a new AI benchmark testing tool called xbench by Sequoia China, aimed at creating a more scientific and effective evaluation system for AI capabilities, particularly in real-world applications [1][2]. Group 1: xbench Overview - xbench employs a dual-track evaluation system that constructs a multidimensional dataset to track both the theoretical limits of AI models and the practical value of AI agents in real-world scenarios [2][3]. - The tool features an Evergreen Evaluation mechanism, ensuring continuous updates to testing content to maintain relevance and timeliness [2][3]. Group 2: Evaluation Methodology - The initial release includes two core assessment sets: xbench-ScienceQA for scientific question answering and xbench-DeepSearch for deep search capabilities, with comprehensive rankings of major products in these fields [3][19]. - The evaluation methodology focuses on aligning assessments with real-world applications, particularly in recruitment and marketing sectors, to establish clear business value [3][12]. Group 3: Historical Context and Development - xbench has been used internally by Sequoia China for over two years to track and evaluate foundational model capabilities, with significant improvements observed in model performance over time [5][7]. - The tool's question bank has undergone multiple updates to reflect increasing complexity and relevance to real-world tasks, demonstrating rapid advancements in AI model capabilities [5][7]. Group 4: Future Directions - The article emphasizes the need for innovative task settings and evaluation methods that align with practical applications, moving beyond traditional assessment frameworks [8][22]. - Future evaluations will focus on dynamic, real-world tasks that reflect the evolving needs of various professional fields, with an emphasis on collaboration with industry experts to refine assessment criteria [24][27]. Group 5: Long-term Evaluation Strategy - The Evergreen Evaluation approach aims to mitigate issues of question leakage and overfitting by maintaining a dynamic and continuously updated assessment pool [11][30]. - The article outlines a vision for ongoing assessments that adapt to the rapid evolution of AI technologies and their applications in diverse professional contexts [30][35].

而且，动态设计中也涉及大量叙事元素。 当视觉叙事与图形元素、策略性文案及艺术指导完美融合时，能 达到最佳的动态效果，从而打动受众。 让我们从一些案例开始看起，了解 动态设计可以放在哪些触点： 如今，视频贴片广告、社交媒体流广告、APP开屏广告、网页用户界面、微互动设计、数字广告牌、户外屏幕 ——一切都在动！ 屏幕无处不在，在线内容也呈井喷式增长。品牌纷纷调整策略，在坚守传统渠道的同时，积极拥抱数字化触 点。从沉浸式的品牌体验到流媒体和广播内容，动态设计已然成为很多行业的标配。在一个"大屏幕看着，小屏 幕刷着"已是常态的世界里，让内容不动才是奇怪的事情。 现在，让我们聚焦于品牌的"动态设计" （Motion Design，有时亦称"动效设计"） ，聊聊如何创造出能真正打动受 众的动态效果。 动态设计是一种通过动画技术让设计 （甚至更广义的"品牌"） "生动"起来的艺术与工艺。 "动态设计"的目的是持续且有效地传递信息，强化项目的概念和视觉语言——通常是为了鼓励用户采取行 动。其对象包括品牌标志 、 符号、字体、图片、视频片段、插画、图标——任何传递信息的视觉元素都可 以成为设计的切入点。 需要考虑的动态设计触点 ...

Core Viewpoint - The article emphasizes the importance of biodiversity and the urgent need for its protection, highlighting the interconnectedness of human fate and the survival of diverse species on Earth [2][7]. Group 1: Evolution of Life's Colors - The early Earth was predominantly brown, gray, and green, but has evolved into a vibrant world filled with colors due to various evolutionary processes [2][5]. - The evolution of vision played a crucial role in this color explosion, with the development of trichromatic vision around 541 million years ago coinciding with the Cambrian explosion, allowing organisms to better navigate their environments [4][5]. Group 2: Color Revolution in Flora and Fauna - The first color revolution was led by plants, which evolved colorful fruits and flowers approximately 300 to 377 million years ago to attract animals for seed dispersal and pollination [5][6]. - Animal color evolution began around 140 million years ago, with bright colors serving as survival signals for mating, deterring predators, or establishing dominance [5][6]. Group 3: Genetic Diversity and Endangered Species - The loss of genetic diversity is accelerating globally, particularly among birds and mammals, due to habitat destruction, disease, and human activities [10][11]. - A study involving 57 scientists from 20 countries assessed genetic diversity changes in 622 species over 30 years, revealing alarming trends but also highlighting the potential for effective conservation strategies [10][11]. Group 4: Strategies for Conservation - Five key strategies to maintain or restore genetic diversity in endangered species include: 1. **Population Supplementation**: Introducing new individuals to existing populations has shown significant positive effects on genetic diversity, especially in birds [11]. 2. **Population Control**: Removing individuals can sometimes enhance population health by reducing resource competition [12]. 3. **Ecosystem Restoration**: Restoring habitats can help maintain and even increase genetic diversity over time [13]. 4. **Control of Invasive Species**: Managing invasive species can aid in the recovery of endangered populations by reducing competition [14]. 5. **Conservation Translocation**: Establishing populations in new areas or reintroducing them to former habitats can be effective if managed properly [15]. Group 5: Individual Actions for Biodiversity - Individuals can contribute to biodiversity conservation through simple actions such as creating diverse gardens, protecting traditional crop varieties, participating in community conservation efforts, and being responsible in nature [17][18].

Core Viewpoint - The article emphasizes the importance of human resource management from an organizational perspective rather than just a human resources function, highlighting that selecting the right people is paramount for long-term success [2]. Group 1: Importance of Employee Selection - Research indicates that the performance difference between top employees and average employees is significantly larger than expected, with top performers in various industries outperforming their peers by substantial margins [3]. - Choosing the wrong employees can lead to inefficiencies in subsequent HR functions like training and retention, making it crucial to select the right individuals from the outset [3]. Group 2: Investment Focus - Companies should shift their investment focus from training to recruitment, as the costs associated with hiring the wrong person can be much higher than those incurred during training [4]. Group 3: Five Rules for Improving Selection Probability - **Rule 1: Define Key Selection Criteria** Companies should clearly outline the essential characteristics they seek in candidates, as exemplified by Amazon's focus on practicality, ownership, and resilience [6]. - **Rule 2: Conduct Proper Assessments** Effective selection tools include cognitive ability tests, work sample tests, and structured situational interviews, while relying solely on personality assessments may not yield reliable results [8]. - **Rule 3: Implement Scientific Interviews** Structured situational interviews, which follow the STAR principle, are shown to be the most effective method for assessing candidates [10]. - **Rule 4: Emphasize Probation Periods and Background Checks** Utilizing probation periods allows companies to evaluate candidates in real work situations, and thorough background checks are essential, especially for higher-level positions [12]. - **Rule 5: Have the Courage to Replace Unsuitable Employees** Companies should be prepared to part ways with employees who do not meet expectations, as maintaining a harmonious relationship relies on mutual suitability [14][16].

有的时候你可能会有这样的迷惑：怎么新闻里的AI又写科研论文，又能自动驾驶，但是我们手里的AI工具总是 时灵时不灵呢？或许这份斯坦福大学最新的《2025年人工智能指数报告》能够解答你的困惑。 这份400多页的年度报告，包括了对不断演变的AI硬件格局的深入分析、对推理成本的全新估算，以及对AI领域 学术发表和专利申请趋势的新分析。同时还引入了有关企业采用尽责AI实践的新数据。我们编译了报告的部分 重要成果，希望能够帮助大家更好地理解AI技术的发展，充分利用它获得先发优势。 【温馨提示】文末"阅读原文"可下载原报告 人工智能日益融入日常生活 从医疗保健到交通运输的诸多领域，人工智能正迅速从实验室走向日常生活。2023年，美国食品药品监督 管理局 （FDA） 批准了223种配备人工智能的医疗器械，而2015年这一数字仅为6种。在道路上，自动驾驶 汽车已不再处于试验阶段，某自动驾驶汽车运营公司已每周提供超过15万次自动驾驶出行服务。 在这波人工智能大热潮中，科学和医学领域涌现了令人惊喜的新气象。 多个新发布的基础模型，它们将助 力材料科学、天气预报和量子计算等方面的研究。 许多公司正尝试将AI的预测与生成能力转化为有利 ...

Core Viewpoint - The article discusses the rapid advancement of AI-generated content across various forms such as text, images, and videos, emphasizing the need for individuals to develop skills to discern between human-created and AI-generated content [5][24]. Group 1: Identifying AI-Generated Text - AI-generated text often exhibits a distinct "flavor," characterized by overly precise language and emotional dilution, making it easier to identify [8][10]. - Common traits of AI writing include excessive use of complex vocabulary, a barrage of examples and metaphors, and a lack of personal experience or unique insights [9][10]. - AI text tends to be overly polished and consistent, lacking the natural rhythm and emotional fluctuations typical of human writing [9][10]. Group 2: Identifying AI-Generated Images - AI-generated images can be scrutinized for key details such as hands, teeth, and eyes, which are common areas where AI makes mistakes [12][13]. - Consistency and logic in lighting, shadows, and background elements are crucial for identifying AI images; discrepancies can indicate AI generation [15][17]. - Observing texture and symmetry can also reveal AI-generated images, as they may appear unnaturally smooth or overly perfect [17]. Group 3: Identifying AI-Generated Videos - AI-generated videos often struggle with replicating human facial expressions and may exhibit unnatural eye movements or facial symmetry [19][20]. - Illogical actions in videos, such as the absence of typical human habits, can signal AI involvement [20][21]. - Trusting one's intuition about the overall feel of a video can be a valuable tool in identifying AI-generated content [21]. Group 4: Tools for Detection - Various AI detection tools are available to analyze text, images, and videos for signs of AI generation, including Grammarly, ZeroGPT, and deepfakedetector.ai [23][24]. - No single detection tool is 100% accurate; combining multiple methods and tools is recommended for better reliability [24]. - The ongoing evolution of AI technology presents a continuous challenge in distinguishing between human and AI-generated content, necessitating critical thinking and media literacy [24].

提升人类科研效率，该AI上场了 五一期间，FutureHouse推出四个AI科研智能体，官方用四种动物来命名它们，分别是Crow （通用智能体） 、Falcon （自动化文献综述智能体） 、Owl （调研智能体） 、Phoenix （实验智能体） 。这些AI智能体可访问 完整科学文献全文，还具备信息质量评估能力。 图源：FutureHouse官网 这其中，Crow、Falcon和Owl通过了严格的基准测试，在搜索精度和准确性上已经超越了o3-mini、GPT- 4.5、Claude-3.7等当下顶级搜索模型。这三个模型 可以访问大量完整的科学文本 ，这就意味着，你可以向 它们提出关于实验方案和研究局限性的更详细的问题。它们还能使用各种因素来区分来源质量，确保它们 不会依赖低质量的论文，或者是流行的科学来源。 目前这四个科学家智能体虽然还不能自主完成大多数科学研究，但是人类已经可以用它来生成和评估新的 假设，规划新的实验——速度要比以前快很多。 而且这些智能体的推理过程完全透明，对每个信息来源都 进行了多阶段的深入分析。 更重要的是，用户可以清晰地查看整个推理过程，了解智能体得出结论的每一 步依据。 再加上Fu ...

Core Viewpoint - The article emphasizes the importance of personal branding (personal IP) for entrepreneurs and company leaders, highlighting how it can enhance trust and connection with customers, suppliers, and investors [2][5][6]. Group 1: Importance of Personal IP - Entrepreneurs and founders serve as the most persuasive "human billboards" for their brands, influencing consumer perceptions through their personal stories and professional expertise [2][5]. - A strong personal IP can humanize a company, making it more relatable and trustworthy to consumers, especially in a market where traditional advertising is losing effectiveness [5][6]. - Research indicates that 63% of respondents feel companies with active social media presence from their CEOs appear more "warm," and 64% appreciate personal content shared by CEOs [5][6]. Group 2: Building Personal IP - Defining personal IP involves understanding one's true self and sharing personal experiences, education, and interests to resonate with potential customers [8][9]. - Targeting the right social media platforms is crucial; focusing on one or two platforms can yield better results than spreading efforts too thin [10]. - Continuously showcasing value through insightful content and personal stories can attract and retain audience attention [11][12]. Group 3: Networking and Consistency - Establishing connections with colleagues, clients, and partners is vital for building a personal IP, as recommendations and endorsements can enhance credibility [14]. - Consistent content updates and maintaining a unified brand image across all platforms are essential for reinforcing personal IP and professional credibility [15]. Group 4: Employee Personal IP - Employees' personal IPs can collectively shape a company's overall image, making it more approachable and relatable to potential clients [19]. - Engaging employees in personal branding efforts can significantly increase interaction rates on social media, often outperforming official company accounts [19].

Core Viewpoint - The discussion highlights the evolving landscape of AI and embodied intelligence, emphasizing the importance of clear commercialization routes and the rapid pace of technological change in the industry [1]. Group 1: AI and Embodied Intelligence Landscape - The current entrepreneurial models differ significantly from the internet era, with a focus on clear commercialization routes rather than solely on technological disruption [1]. - The market for embodied intelligence is likened to the AI landscape in 2018, suggesting that significant breakthroughs are yet to be seen, similar to the emergence of GPT [6]. - The emergence of DeepSeek has disrupted the existing narrative around AGI in the U.S. and reshaped the domestic large model landscape, leading to predictions that only a few companies will dominate the market [6]. Group 2: Investment Strategies and Market Dynamics - Investors are increasingly challenged to keep pace with rapid model iterations, necessitating a deeper understanding of model boundaries and capabilities [7]. - The investment landscape is characterized by a shift in focus from traditional metrics like DAU and MAU to the capabilities of AGI models, which can lead to sudden user shifts [7]. - The belief in the future of AGI is crucial for investors, as the current state of embodied intelligence is still in its early stages, with no clear prototypes of general models yet available [9]. Group 3: Entrepreneurial Challenges and Opportunities - Entrepreneurs in AI and embodied intelligence face difficulties in articulating clear applications, contrasting with previous business plans that clearly defined objectives [8]. - The need for a dual approach to both pre-training and post-training in model development is emphasized, indicating that both aspects are essential for progress in the field [6]. - The industry is still in the early stages of development, with significant time required before a universal model emerges [9].

Core Viewpoint - The article emphasizes that disruptive innovations often emerge unnoticed and typically before their time, suggesting that many breakthroughs are dormant until the right conditions awaken them [2]. Group 1: Innovation and Its Awakening - Innovations are not solely the result of individual genius but are products of probability, environment, and chance [2]. - The author, Andreas Wagner, discusses how the greatest innovations may be hidden in plain sight and require patience, keen observation, and the courage to embrace uncertainty to uncover [2]. Group 2: Examples from Nature - Grass is presented as a successful organism, meeting criteria of richness and diversity, with over 10,000 species evolving over millions of years [5]. - Despite having survival-enhancing innovations, grass took over 40 million years to thrive, highlighting that success depends not only on inherent traits but also on the surrounding environment [6][7]. Group 3: Broader Implications - The concept of "sleeping beauties" in evolution and culture suggests that many innovations remain dormant until environmental changes trigger their potential [8][12]. - The article posits that understanding these patterns can help in recognizing the unpredictable nature of innovation success, which is often beyond the innovator's control [13]. Group 4: Call to Action - The article encourages a mindset shift towards recognizing and nurturing seemingly insignificant ideas that could lead to significant innovations in the future [13]. - It advocates for cross-disciplinary learning and the cultivation of critical thinking skills to prepare for future "awakening moments" [13].