关于人才战略，卢伟冰表示，小米始终秉持渴望人才、尊重人才的理念，致力于为优秀人才搭建优质发 展平台，助力创新价值充分释放。值得关注的是，今年10月 arXiv 平台上发表的一篇由小米与北京大学 联合署名的论文中，罗福莉已以通讯作者身份出现。（纯钧） 卢伟冰透露，小米在前几个季度已启动AI领域的压强式投入，目前在AI大模型研发与应用落地方面的 进展远超预期。他强调，小米坚信AI与物理世界的深度融合是智能科技的下一站，将持续聚焦这一核 心方向推进技术创新。 来源：环球网 【环球网科技综合报道】12月4日消息，小米集团合伙人、总裁兼手机部总裁、小米品牌总经理卢伟冰 近日在抖音"答网友问"第12集中，回应了罗福莉加入小米及企业AI新战略相关热点问题，释放出小米在 智能科技领域深耕布局的明确信号。 ...

Group 1 - Apple is expected to lead global smartphone shipments by 2025, reversing a previous decline in the market [1] - In China, Apple's iPhone 17 demand remains strong, contributing to record sales in 2025, with global iPhone shipments projected to reach 247 million units this year [1][3] - Apple's market share in China surpassed 20% in October and November, leading to a revised growth forecast for 2025 [3] Group 2 - IDC predicts a 1.5% year-over-year growth in global smartphone shipments, driven by Apple's holiday season performance [3] - Despite a 4% year-over-year revenue decline in China due to supply constraints, Apple remains optimistic about the iPhone 17's reception [3] - IDC forecasts a 6.1% year-over-year increase in global iPhone shipments by 2025, with sales revenue expected to exceed $261 billion this year [4]

谢欣指出，当前AI已从辅助工具演进为能交付最终结果的"数字劳动力"，传统基于"工时"与"苦劳"的绩 效体系逐渐失效，企业亟须进行"AI时代的效率再分配"。他反对将AI讨论局限于技术参数与颠覆性叙 事，认为更应关注技术背后的人——"是你们，让AI不再只是停留在服务器里的代码，而是变成了解具 体问题的工具。" 【环球网科技综合报道】12月4日消息，近日，飞书CEO谢欣对外强调AI时代的主角应当是"人"而非技 术，并联合安克创新、星宇车灯、正大天晴等38家行业领军企业，共同发起针对员工的"AI年终奖"倡 议。该倡议主张以"现金+算力"组合方式，奖励那些在AI应用方面表现突出的员工。 "AI年终奖"被视为对这一理念的落地回应。除了现金奖励，奖项还首次纳入高级AI算力配额，旨在为持 续创新的员工提供"数字化弹药"。谢欣表示，许多一线员工是在业余时间、冒着风险探索AI应用，企业 应当从物质层面肯定这种探索精神。（勃潺） 来源：环球网 ...

来源：环球网 据TikTok巴西公共政策负责人莫妮卡·吉斯介绍，该数据中心项目将落地塞阿拉州佩森工业港附近，由 TikTok与数据中心开发商Omnia、可再生能源企业Casa dos Ventos联合推进。项目将完全依托当地风电 场供应的清洁能源，践行绿色发展理念。 在塞阿拉州举行的项目相关活动中，巴西总统卢拉·达席尔瓦与吉斯共同出席。吉斯表示，这笔投资对 TikTok具有里程碑意义，充分体现了平台将巴西视作全球最具活力数字市场之一的战略定位，未来将持 续深化在当地的数字化合作与发展。（纯钧） 【环球网科技综合报道】12月4日消息，据彭博社报道，字节跳动旗下TikTok近日宣布，将在巴西投资 超过2000亿雷亚尔（约合377亿美元）建设大型数据中心，这也是该平台在拉丁美洲布局的首个大型项 目，标志着其对巴西数字市场的深度布局。 ...

来源：环球网 【环球网科技综合报道】12月4日消息，据WebProNews报道，微软旗下多个业务部门已下调部分AI产 品的销售增长预期。这一调整源于不少销售人员未能完成截至6月结束的财年销售目标，而此类针对特 定产品调低销售配额的举动，被相关业务人员称为"罕见"情况。 据Azure云业务的两名销售人员透露，微软在产品销售指标设定上向来较为稳定，此次专门下调AI产品 销售预期，实则反映出企业客户对AI付费服务的抵触情绪，微软正通过调整销售策略积极应对这一市 场现状。 目前，微软方面尚未就销售指标调整的具体细节及后续应对举措作出进一步回应。（纯钧） ...

来源：科技日报 图片来源：物理学家组织网 最近，来自英国的科学家团队揭示了食蚜蝇行为拟态更惊人的一面。 他们关注的是拟态熊蜂的食蚜蝇。熊蜂喜欢光顾蓝色和紫色的花，而大多数黄蜂、独居蜂以及许多小苍 蝇更爱黄色和白色的花。如果捕食者只凭花的颜色来挑选猎物，那么跑错花的"模仿者"就很容易被看 穿。为了看看这些食蚜蝇是否也挑蓝花光顾，科学家搜集了近一千张自然爱好者拍摄的昆虫访花照片。 结果显示，模仿熊蜂的食蚜蝇几乎总是跟着熊蜂的脚步，光顾蓝色和紫色的花，选花品味都学得一模一 样。 这种现象可能有两种解释。一种可能是，食蚜蝇为了让模仿更靠谱，逐渐演化出更爱去蓝花的个体；另 一种可能是，这些食蚜蝇本来就喜欢蓝色花朵，因此自然和熊蜂"凑在一起"，为拟态提供了机会。无论 哪种情况，都说明拟态不仅是外表像，还会影响它们的行为和生存环境。 那么，为什么模仿熊蜂需要如此精雕细琢，而模仿更具攻击性的黄蜂反而可以"粗枝大叶"？关键在于捕 食者的"风险计算"。对于黄蜂这类极具攻击性、蜇刺威胁大的"高威慑模型"，捕食者一旦尝过苦头，就 会对黄黑相间的警告色产生恐惧记忆。模仿者即使只是大致相似，也足以获得保护。 但熊蜂就不一样了。它们体态毛 ...

Core Insights - Apple has updated its executive leadership page, removing information about John Giannandrea, who will officially retire in Spring 2026, having previously stepped down as head of AI operations [1][3] - Amal S. Subramaniam, former VP of AI at Microsoft, will take over as Apple's VP of AI, reporting to Senior VP of Software Engineering Craig Federighi [3] - Giannandrea joined Apple in 2018 and was responsible for key AI projects like Siri and Core ML, previously serving as Senior VP of Engineering at Google [3] AI Strategy and Management Changes - The teams previously managed by Giannandrea, including AI infrastructure, search, and knowledge, have been reassigned to Sabih Khan and Eddy Cue [3] - The launch of the new "Apple Intelligence" Siri feature, initially scheduled for Spring 2025, has been postponed by a year, now set for 2026 [3] - Reports indicate that the delays in the Siri project are linked to leadership management issues, privacy policy constraints, and team collaboration challenges [3]

Core Insights - The latest AI Safety Index released by the Future of Life Institute indicates that major AI companies like Anthropic, OpenAI, xAI, and Meta have not yet met emerging global safety standards [1][3] Group 1: Assessment Findings - Independent experts found that companies pursuing breakthroughs in superintelligent technology have not established reliable frameworks to effectively manage advanced AI systems [3] - The report highlights growing societal concerns regarding the potential impacts of AI systems capable of reasoning and logic, especially following incidents of self-harm linked to AI chatbots [3] Group 2: Regulatory Environment - The chairman of the Future of Life Institute, MIT professor Max Tegmark, noted that the regulatory scrutiny faced by U.S. AI companies is even less stringent than that of restaurants, and these companies are lobbying against mandatory safety regulations [3] - The competition in the global AI sector is intensifying, with major tech firms having invested billions of dollars in the expansion and upgrading of machine learning technologies [3] Group 3: Historical Context - The Future of Life Institute, established in 2014, focuses on the potential threats posed by intelligent machines and has previously received support from notable figures like Tesla CEO Elon Musk [3] - In October, prominent scientists including Geoffrey Hinton and Yoshua Bengio called for a pause in the development of superintelligent systems until public demands are clarified and a safe management path is identified [3]

Core Insights - The Chinese intelligent driving industry is transitioning from reliance on imports to domestic production and scaling, marked by the milestone of 5 million high-level intelligent driving products produced by Fureitech [1][3] - Fureitech's rapid growth reflects a significant shift in the market, breaking the international Tier 1 monopoly and achieving commercial viability for domestic intelligent driving solutions [1][3] Technology Breakthroughs - Fureitech's ADC25 product, developed on the ODIN3.0 platform, integrates multiple sensors and achieves L2.9 level driving assistance without relying on high-definition maps, utilizing a mid-computing power platform [3][4] - The dual perception solution combining vision and millimeter-wave radar ensures performance in adverse weather conditions, enhancing safety and facilitating the widespread adoption of intelligent driving features [3][4] Production Efficiency - The company has significantly reduced its production cycle from 1 million to 5 million units through a unique software-hardware integration and platform-based approach, exemplified by the rapid production timeline of the ADC25 controller [4][6] - The highly automated production lines at the Wuzhen manufacturing base enable efficient output, with advanced digital management contributing to rapid capacity expansion and cost optimization [6][4] Industry Positioning - Fureitech has established partnerships with 51 automotive companies, with over 380 projects initiated and more than 290 projects in mass production, positioning itself as a leading domestic supplier in the L2 driving assistance market [7][9] - The company is simultaneously advancing its global strategy, focusing on localized teams and tailored product strategies to meet diverse market needs [9][7] Future Outlook - Fureitech aims to reach a production target of 10 million units and is focused on advancing from L2+ to L3 level intelligent driving technology, leveraging extensive pre-production data for algorithm iteration [9][7] - The company plans to expand its focus beyond intelligent driving to broader mobility and robotics sectors, capitalizing on China's leading position in AI and electrification technologies [9][7]

Core Insights - The report "2025 Research Frontiers" and the "2025 Research Frontiers Heat Index" indicate that China ranks first in the heat index for six research fields globally [1][2] - The overall performance across 11 major disciplines shows the United States maintains the top position, while China holds the second place, with significant advancements noted [2] Group 1: Research Fields - China ranks first in the heat index for research frontiers in agriculture science, botany and zoology, ecological and environmental science, chemistry and materials science, physics, information science, and economics, psychology, and other social sciences [2] - The United States ranks first in five fields, with both countries dominating the highest scores across all fields [2] Group 2: Comparative Performance - China ranks second in earth sciences, biological sciences, and mathematics, demonstrating notable overall progress [2] - In clinical medicine and astronomy and astrophysics, China has made continuous improvements and has entered the top five globally [2] - The gap between China and the United States continues to narrow, indicating a competitive research environment [2]