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].

以下文章来源于复旦商业知识 ，作者《管理视野》 复旦商业知识 . 洞悉商业世界，发掘企业管理前沿研究成果，分享企业家最佳实践。 职业创造力的界定 创造力是人类独有的能力，与某些遗传基因密切相关。 与职业相关的创造力可以分为三类：艺术创造力、科学创造力和管理创造力。一篇发表于 Communications Biology的研究，通过对大规模样本数据的全基因组关联分析， 发现 职业创造力与特定精神疾病、主观幸福感和 职业成功等个体特征存在遗传相关性。 不同类型的创造力之间也表现出明显差异。 这意味着，与创造力相关的基因可能对个体的职业生涯及生活质量产生既矛盾又多元的影响。 在人类文明的发展过程中，创造力是一种推动社会进步的重要力量。它不仅是个人潜能的体现，也是驱动 社会创新和文明进步的关键。然而，回顾历史会发现，许多拥有非凡创造力的天才，如凡·高和贝多芬，他 们的辉煌成就背后往往伴随着心理问题。 虽然历史上无数个案例都在告诉我们，创造力与心理健康/幸福感之间存在某种悖论，学界最新的元分析成 果却对传统认知提出了挑战，揭示了创造力与心理健康/幸福感之间微妙但显著的正相关关系。与此同时， 中国科学院昆明动物研究所的一 ...

这是内容产业的一次重要转变。接下来，让我们更深入地走入数字人行业，了解它的核心技术与未来发展趋 势。 从静态形象到智能交互的技术演进 想要制作一个会说话的面孔，模型需要学习逼真的"音素到视素" （phoneme-to-viseme） 映射关系：也就是语 音 （音素） 与其对应的嘴部动作 （视素） 之间的关联。如果这个映射"跑偏"了，嘴型和声音就会看起来不 同步，甚至完全脱节。 想象一下你说话的样子：说话时动的不仅仅是嘴，你的整个面部、甚至上半身和手，都会随之而动；而 且，每个人说话都有自己独特的风格，即使说的是同一句话，不同的人的嘴部动作也会不同。如果你试图 把你的口型同步数据套用到其他人脸上，效果会很怪异。 还记得《西部世界》里栩栩如生的仿生人吗？如今，这场赛博朋克的幻想正在照进现实。数字人正在为AI的下 一个重大飞跃提供可能——将面孔与声音结合，创造出会说话的角色——并不是简单地让图片上的人物动起来 再配音，而是能真正像人类一样进行创作与互动。 而这个领域研究已经在过去几年里发生了翻天覆地的变化： 早期技术（2017-2020）： 依赖CNN （卷积神经网络） 和GAN （生成对抗网络） ，通过单张图片生 ...

在足球赛场上，球员一旦上场，教练就无法事无巨细地指挥每个动作了——整个团队必须得靠自己去观察比 赛、快速决策，并互相信任来完成最佳配合。 在这种情况下，每个球员都有明确的角色，但也能根据比赛进程自由调整，无论是临时改变战术、调整跑位， 还是抓住对手的空档。这种场上的自主权不仅至关重要，更是决定胜负的关键。 工作中的自主权也是同样的道理。当员工被赋予决策权和任务掌控权时，他们就不再只是被动等待指令，而是 主动去实现公司的目标。这篇文章，我们就来聊聊工作自主权如何能让团队变成高效自驱的"梦之队"！ "" 人类天生就有一种内在驱动力，渴望自主、自我决策并与他人建立连接。当这种驱动力被释放时，人们 能取得更多成就，生活也更加丰富多彩。 " —— 丹尼尔·平克 (Daniel H. Pink) 正确理解工作自主权 工作自主权，指的是给予员工自由和责任，让他们在没有持续监督的情况下管理自己的任务、做出决策、 安排工作流程。这种做法能让个体充分发挥优势，运用判断力，并制定出创造性的解决方案。 但工作自主并不意味着每个人彼此孤立工作或无视公司目标；相反，它是 将个人任务与组织目标对齐，同 时信任员工能自行决定如何达成这些目标 ...

金仕生物 全球首款预装干瓣Prostyle A® 获批上市 4月9日，金仕生物宣布由公司自主研发的 Prostyle A®经导管人工主动脉瓣膜置换系统-干法预装可回收输送 系统 获得国家药品监督管理局 （NMPA） 批准上市 （ 国械注准20253130729） 。 作为全球首款预装干瓣，金仕生物推出的新一代介入主动脉瓣Prostyle A®集成了众多瓣膜领域的前沿技 术，拥有干瓣技术、巧妙便捷的预装系统、卓越的瓣膜血流动力学性能和耐久性，优秀的输送性和通过 性，平稳的释放和可靠的锚定等特点。金仕生物自主创新的干瓣技术，在国内、欧洲、美国、日本等国家 享有专利保护。这一产品的出现，迎来中国TAVR的新时代 ——干瓣时代。 艾柯医疗 全新血流导向密网支架系统"Lattice COUPLE"成功获批 近日，艾柯医疗全新血流导向密网支架系统"Lattice COUPLE"，成功获得国家药监局批准注册 （ 注册证编 号：国械注准20253130668） 。至此， 艾柯医疗成为神经介入行业首家拥有三张密网注册证的企业 。 微光医疗 FDA 首次批准中国高端腔内介入影像设备 4月11日，微光医疗宣布其两款冠脉OCT设备及 ...