某大厂95后程序员李林，最近从婚恋App伊对上结识了一位竹编爱好者小薇。两人从竹编技法聊到乡下 捉泥鳅，越聊越投缘感情也逐步升温，后来喜结良缘。 调查显示，64%受访者表示婚恋App的推荐匹配效果很好，44%的人会相信人工智能或算法来为他们找 到匹配的对象；当然，也有39%的受访者发现按算法排序是不科学的，56%的人不相信算法能够真正理 解恋爱中的复杂性。 "年轻人的婚恋观正发生变化，受多种因素影响。应关注他们的需求和困境，帮助他们建立健康的婚恋 关系。同时，鼓励线上线下结合的社交方式，缓解年轻人压力，并引导他们树立正确的价值观。"中国 政法大学心理学教授于悦表示。 这并非什么天定缘分，而是科技悄悄架了座桥，让李林这类忙得脚不沾地、社交圈窄得可怜的年轻人， 让恋爱畅通便捷。 一位00后用户小刘分享："起初担心算法冷冰冰，现在觉得它像朋友，帮我避开弯路。"这些声音，从用 户到专家，共同勾勒出科技在婚恋领域的双面：机遇与挑战并存，却通过持续优化，趋向更健康的轨 道。 如今，广大青年面临工作节奏加快、社交圈受限的现实困境，婚恋难题越来越让人发愁。 李林的故事并非个例，它折射出科技如何悄然改变青年们的交友方式。过去， ...

点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 以下文章来源于Vehicle ，作者Pirate Jack Vehicle . 汽车行业先进个人与团队关注 Vehicle， 一起智能、出海、成长 作者 | Pirate Jack 来源 | Vehicle 原文链接： Waymo自动驾驶最新探索实践：世界模型、长尾问题、最重要的东西 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 本文只做学术分享，如有侵权，联系删文 辅助驾驶/自动驾驶产业应该最终都会交叉，因为他们算法软件的底层逻辑是一样的。我们之前文章《 IAA 2025 慕尼黑车展：中国汽车军团们，从"贸易出口"到"势 不可挡" 》也分享到了，中国在辅助驾驶开拓算法的公司不管Momenta、元戎、大疆都也和其他专做L4的公司一样在欧洲和中东各地掘金L4。 本文是基于Waymo 感知算法负责人 Wu Chen女士在今年CVPR上演讲内容总结，再根据自身经验分析自动驾驶算法、发展现状以及对于自动驾驶到底最重要的东西 是什么。 构建一个世界模型 Waymo表示，他们开发了一个名为 Waymo 基础模型的大 ...

Core Insights - Zhang Yiming's recent public appearance in China after four years has garnered significant attention, though it may not surpass the interest generated by Jack Ma's return [1][15] - The focus of Zhang's appearance was on talent development, emphasizing the importance of nurturing innovative and resilient individuals [3][4] Group 1: Talent Development and Innovation - Zhang Yiming highlighted the need for talent recruitment and development, noting that many individuals' potential remains untapped [3] - He compared the phenomenon of overfitting in machine learning to the challenges faced by talented individuals in innovation tasks, advocating for independent thinking and practical experience [3] - Zhang's talent philosophy evolved during the growth of ByteDance, where he prioritized curiosity and optimism over traditional experience [4] Group 2: Leadership Transition - In May 2021, Zhang Yiming stepped down as CEO of ByteDance, with co-founder Liang Rubo taking over, as Zhang aimed for greater innovation and creativity within the company [5][6] - Zhang expressed a desire to focus on long-term strategic matters, corporate culture, and social responsibility rather than daily management [6][8] Group 3: Market and Regulatory Environment - The external environment for tech companies is changing, with emerging fields like virtual reality and life sciences beginning to impact daily life [9] - ByteDance's potential IPO has faced delays due to regulatory uncertainties and the need for greater business transparency [12] - Zhang Yiming's movements are seen as a significant indicator of ByteDance's future direction, especially in light of the ongoing TikTok controversies [10][15] Group 4: Public Perception and Media Attention - Zhang Yiming's return to the public eye has sparked discussions about his citizenship status and ByteDance's IPO plans, with rumors circulating frequently [11][12] - The media narrative surrounding Zhang's public appearances often reflects broader themes of corporate leadership and innovation within the tech industry [15]

"文化体力不足"是近年来社交媒体上网友的高频词，它描述的是这样一种状态：白天上了一天的 班，耗光手机电量的同时也耗光了自身的电量，晚上回到家只想打打游戏、刷刷短视频；周末休息日， 大部头的书捧起来却"看不进去"，打开人文历史类纪录片几分钟后大脑就"自动宕机"；日常手机上刷到 长文章，从来看不到尾，文艺欣赏满足于那些"3分钟说清一部小说""5分钟速看一部电影"的简易版…… 文化休闲，尤其是欣赏性、审美性、创造性的文化休闲活动，本应是人走向全面发展的必经之路， 是让人放松身心、恢复精力、积蓄能量的，而不是让人们在情绪的积累与释放之中坐过山车，让审美享 受变成快感满足之后的疲惫与虚无，最终落入劳动与休闲的"双重倦怠"。 我们都知道，肌肉需要锻炼才能强劲，同样，文化体力也需要在专注、沉潜、迎难而上中才能养 成。要想积蓄文化体力，不妨试着克服对智能手机的依赖，减少不必要的屏幕使用时间；试着打破工作 与休闲的二元对立，以专注、充实、忘我的态度面对工作，从劳动中获得价值感和存在感；试着回到现 实中的文化现场，一次读书会、一场音乐会、一个美术展，在与艺术和他人的联结中感受内心的丰盈。 更重要的是，恢复人在文化休闲生活当中的自 ...

我们都知道，肌肉需要锻炼才能强劲，同样，文化体力也需要在专注、沉潜、迎难而上中才能养成。要 想积蓄文化体力，不妨试着克服对智能手机的依赖，减少不必要的屏幕使用时间；试着打破工作与休闲 的二元对立，以专注、充实、忘我的态度面对工作，从劳动中获得价值感和存在感；试着回到现实中的 文化现场，一次读书会、一场音乐会、一个美术展，在与艺术和他人的联结中感受内心的丰盈。 更重要的是，恢复人在文化休闲生活当中的自主和自为，不要将你的文化选择拱手相让，任由算法、大 数据和人工智能等接管精神园地。找到自己的文化兴趣、审美爱好，沉浸到文艺的天地中安放身心，从 中汲取超越性的力量，如此才能产生余裕的文化心力，才能保持充沛的文化体力。 《 人民日报 》（ 2025年09月30日 20 版） "文化体力不足"是近年来社交媒体上网友的高频词，它描述的是这样一种状态：白天上了一天的班，耗 光手机电量的同时也耗光了自身的电量，晚上回到家只想打打游戏、刷刷短视频；周末休息日，大部头 的书捧起来却"看不进去"，打开人文历史类纪录片几分钟后大脑就"自动宕机"；日常手机上刷到长文 章，从来看不到尾，文艺欣赏满足于那些"3分钟说清一部小说""5分钟速 ...

Core Insights - The fourth Panyu Algorithm Competition Eco-Empowerment Conference was held in Guangzhou, aiming to establish itself as the "World Cup" of artificial intelligence, focusing on real industry needs and innovative market-oriented competition models [2][5] Group 1: Event Overview - The event attracted over 600 companies and global experts, showcasing its significance in the AI field and its role as a new platform for technology enterprises [2] - The competition featured 183 teams in the finals, with 82 award-winning teams recognized, marking a significant increase in participation and influence [5] Group 2: Key Contributions and Insights - Notable scientists emphasized the importance of algorithms in driving advancements in AI, with a focus on the integration of data and physical spaces [3] - The event highlighted the need for deep collaboration in algorithm research, data sharing, and talent cultivation within the Guangdong-Hong Kong-Macao Greater Bay Area [3] Group 3: Industry Impact - The competition has become a platform for connecting innovative outcomes with capital, with 70 investment institutions participating in the roadshow [6] - The Haizhu District has leveraged the competition to solidify its foundation in algorithms, computing power, and data, resulting in over 170 industry model projects and a sustained growth rate of over 20% in the new generation information technology service industry [6]

Core Insights - The 2024 China Digital Music Industry Report indicates that the digital music industry in China will exceed 200 billion yuan, maintaining the largest user base globally [1][3] Group 1: Market Size and Growth - The total scale of the Chinese digital music market, including online music, online karaoke, and music short videos, is projected to be approximately 211.35 billion yuan in 2024, representing a growth of 10.8% compared to 2023 [3] - The cumulative total of digital music platform libraries is around 263 million songs [3] Group 2: Industry Integration and Trends - Digital music has transcended single content forms, fully integrating into gaming, film, and animation within the digital content ecosystem [3] - The rapid development of digital music necessitates that musicians and industry professionals adapt to the digital era [3] Group 3: Impact of Technology - The report highlights the influence of AI and algorithms on music creation, noting that while they lower creative barriers, they also lead to issues such as short-sighted creativity and homogenized aesthetics [5] - There is a call for the music industry to focus on creating classic works that possess depth and emotional resonance, as well as to update evaluation mechanisms for music quality [5]

们说这是运气还是算法？ 0:00 人形机器人连续两下差点滑倒，你 ...

Core Viewpoint - The article discusses the sudden death of a 35-year-old Microsoft programmer, Pratik Pandey, in the company's Silicon Valley office, raising concerns about workplace conditions and mental health among tech employees [3][5][6]. Group 1: Incident Details - Pratik Pandey was found unresponsive in the office after working late hours, with no signs of foul play detected by local authorities [3][5]. - The cause of death has not been determined, and Microsoft is reportedly conducting an internal investigation [5][6]. - Pandey was involved in the development of Microsoft's Fabric product, which competes with similar offerings from companies like Snowflake [6]. Group 2: Reactions and Discussions - The news of Pandey's death sparked discussions on social media, with some users expressing shock and suggesting possible mental health issues [8][9]. - Colleagues described him as cheerful and athletic, with no known health problems, leading to disbelief regarding his sudden passing [9]. - Concerns were raised about the lack of media coverage on such incidents within tech companies, suggesting a pattern of silence surrounding employee well-being [10][11].

Core Viewpoint - The article discusses the transition from autonomous driving to embodied intelligence, highlighting the similarities and differences in algorithms and tasks between the two fields [1]. Group 1: Algorithm and Task Comparison - Embodied intelligence largely continues the algorithms used in robotics and autonomous driving, such as training and fine-tuning methods, as well as large models [1]. - There are notable differences in specific tasks, including data collection methods and the emphasis on execution hardware and structure [1]. Group 2: Community and Learning Resources - A full-stack learning community named "Embodied Intelligence Heart" has been established to share knowledge related to algorithms, data collection, and hardware solutions in the field of embodied intelligence [1]. - Key areas of focus within the community include VLA, VLN, Diffusion Policy, reinforcement learning, robotic arm grasping, pose estimation, robot simulation, multimodal large models, chip deployment, sim2real, and robot hardware structure [1].