Core Viewpoint - The 2026 "National Subsidy" policy aims to enhance consumer spending on digital and smart products, addressing the current trend of technological consumption and promoting the upgrade of related industries [1][2]. Group 1: Subsidy Scope - The subsidy will expand to include not only digital products like smartphones and tablets but also smart products, with smart glasses being added for the first time [1]. - Local governments are allowed to implement subsidies for smart home products, including those designed for the elderly, based on regional needs [1][2]. Group 2: Implementation Mechanism - The policy stipulates a 15% subsidy on the purchase price of digital and smart products, capped at 500 yuan per item for products priced under 6000 yuan [3]. - A combination of national uniform standards and local autonomy in subsidy implementation is established, ensuring equal treatment across regions while allowing local customization [3]. Group 3: Ensuring Accurate Distribution of Benefits - The policy emphasizes strict regulation to prevent issues such as fraudulent claims and delays in subsidy payments, with a commitment to tackle violations promptly [4]. - Enhanced transparency and improved complaint channels are introduced to minimize manipulation and ensure that subsidies effectively reach consumers [5].

Core Insights - The rise of AI agents is transforming human-computer interaction, with 2025 being identified as the "year of AI agents" [1] - AI agents are capable of autonomously executing tasks, distinguishing them from generative AI models that require prompts [1] - The AI agent market is projected to grow from $5.1 billion in 2024 to $47.1 billion by 2030, indicating a significant investment opportunity [2] Group 1: AI Agent Development - AI agents are designed to perform complex tasks autonomously, such as data extraction and travel planning, functioning like a "digital employee" [1] - The introduction of the "Agent2Agent protocol" by Google in April 2025 enhances communication between agents, establishing an open standard through collaboration with Anthropic [2] - The emergence of "agent-based browsers" in mid-2025 marks a shift from passive interfaces to proactive intelligent partners [2] Group 2: Risks and Challenges - The capabilities of AI agents have led to increased risks, as demonstrated by the malicious use of Anthropic's Claude Code agent in automated cyberattacks [3] - AI agents can lower the barriers for malicious activities, expanding the capabilities of individuals and organizations while amplifying existing system vulnerabilities [4] - Key issues affecting the evolution of AI agents include the need for new evaluation frameworks and governance mechanisms, with the establishment of the "AI Agent Foundation" by the Linux Foundation aimed at promoting shared standards [5] Group 3: Future Considerations - The debate over model size is intensifying, with lighter, specialized models often outperforming larger general models in specific tasks [5] - AI agents face social and technical challenges, including energy consumption from data center expansion, job displacement due to automation, and security risks associated with interconnected models [7] - Regulatory discussions are necessary as AI agents become more integrated into daily life, with a need for stricter governance compared to existing frameworks in Europe and China [7]

Core Viewpoint - The implementation of the mandatory national standard for electric vehicle energy consumption, effective January 1, 2026, aims to enhance energy efficiency and reduce costs for consumers while promoting technological advancements in the automotive industry [1][2]. Group 1: Impact on Consumers and Vehicle Usage - The new standard requires that all new electric vehicles must meet stricter energy consumption limits, which will lead to longer actual driving ranges and lower operating costs for consumers [2]. - Current non-compliant models can improve their range by approximately 7% through technological optimization to meet the new limits [2]. Group 2: Rationale Behind the New Standard - The establishment of this standard is part of a broader initiative to enhance energy efficiency in the automotive sector, aligning with national carbon reduction goals [3]. - The standard also includes requirements for manufacturers to provide energy consumption data under various temperature conditions, ensuring consumers are well-informed [3]. Group 3: Effects on Technology and Market Dynamics - The new standard will shift the industry from a model focused on large batteries for extended range to one emphasizing high efficiency and low energy consumption [4]. - Approximately 40% of current models do not meet the new standards, necessitating technological upgrades to avoid being phased out [4][5]. - The implementation of the standard is expected to drive significant advancements in automotive energy-saving technologies, including lightweight design and improved electric drive system efficiency [5][6].

被"技术墙"挡住的知情权 除技术失效之外，家长监护系统的反应迟缓同样令人担忧。在测试中即便家长开启了警报功能，当未成 年人表达厌世意图时，提醒邮件往往在数小时后才送达。 西班牙《国家报》为测试ChatGPT未成年人保护机制而虚构了一名15岁少年"马里奥"。在与ChatGPT数 小时的对话中，"他"向这款全球最流行的人工智能（AI）聊天机器人袒露了进食障碍倾向，并最终留下 了一句"我要告别这个世界"的话。但直到对话结束，系统都没有向其"父母"发出任何警报。更令人震惊 的是，AI甚至在对话中提供了相关手段的详细建议。 "马里奥"只是测试中创建的3个虚拟未成年人之一。但"他"暴露的问题，却真实存在于当下的数字生活 中。随着生成式AI深入人类最隐秘的情感角落，其安全过滤器的"失灵"正将心智尚未成熟的青少年推向 深渊。 算法逻辑下存在技术盲区 按照OpenAI公司的官方说明，13—18岁的用户应在监护人许可下使用ChatGPT，系统也内置了针对自 残、暴力和露骨内容的过滤机制。然而，《国家报》的调查揭示，这些"防护措施"在实际使用中并不牢 靠。 在"马里奥"的案例中，AI起初会重复提示"寻求专业帮助"，但当用户持续追问 ...

Core Insights - The successful flight of the "Kairui O" eVTOL aircraft marks the first cross-strait transportation verification in China, demonstrating the potential for advanced aerial logistics solutions in the region [1][2]. Group 1: Company Overview - Peak Flying Aviation has developed the "Kairui O," which features a composite wing design, a maximum takeoff weight of 2 tons, and a maximum payload of 400 kilograms, with a range of 200 kilometers [2]. - The "Kairui O" is the world's first eVTOL aircraft over 1 ton to receive all three necessary certifications: type certificate, production license, and individual airworthiness certificate from the Civil Aviation Administration of China [2]. Group 2: Flight Details - The flight from Haikou Meizhou Island to Zhanjiang Xuwen Port covered a distance of 23 kilometers in just 9 minutes, showcasing the aircraft's efficiency and reliability [1]. - The aircraft has accumulated over 50,000 kilometers of safe flight distance, validating its performance in various scenarios, including cross-sea and night flights [2]. Group 3: Future Developments - Peak Flying Aviation plans to introduce a 6-seat manned eVTOL aircraft named "Shengshi Long" for cross-strait flights, enhancing transportation efficiency between Haikou and Zhanjiang [2].

（文章来源：科技日报） 今年以来，四川省委、省政府高度重视四川社保科创基金组建工作。该项工作启动以来，全国社保基金 会于今年8月专程来川调研设立四川社保科创基金可行性，各方共同形成《四川社保科创基金方案》， 履行相关决策程序，形成了《四川社保科创股权投资基金合伙企业（有限合伙）之合伙协议》。 据悉，四川社保科创基金将坚持市场化基金定位，聚焦服务国家重大战略、服务四川高质量发展，重点 投向人工智能、低空经济、生物医药、软件和信息服务等省内"15+N"重点产业链上科技属性强、成长 性高的科技产业项目，并以投代引四川省产业链急需的省外优质项目，推动重点产业链锻长板、补短板 一体，促进科技创新和产业创新深度融合，加快培育发展新质生产力。 同时，基金还将按照"上下两层、联合管理"模式，上层基金由各出资人作为合伙人，下层基金负责项目 直投和子基金设立；并建立基金募资招款"赛马"机制，由上层基金合伙人根据下层基金绩效考核结果， 在总规模内动态调整管理人基金管理额度。按此机制，既有利于强化出资人的参与度和话语权，激励引 入高水平管理机构和金融人才队伍；又有利于确保基金投得准、管得好，真正发挥好基金功能作用。 12月30日，四 ...

记者12月29日从安徽大学获悉，该校材料科学与工程学院王守国教授团队联合北京工业大学及稀土永磁 材料全国重点实验室，围绕高丰度稀土磁体重稀土晶界扩散技术展开深入研究，首次揭示影响重稀土扩 散效率的两大关键微观机制。相关研究成果日前发表于《先进功能材料》。 王守国表示，该发现为理解并设计高丰度稀土磁体组织、提升战略重稀土利用效率提供了新科学视角和 材料设计思路。（记者洪敬谱） 针对这一挑战，研究团队提出创新科学假设。团队认为，高丰度稀土磁体内部化学成分异质性及复杂晶 间相结构，可能是主导并制约重稀土原子沿晶界扩散路径、速率及分布形态的关键内在机制。该构想将 工艺难题提升至材料科学层面，为设计磁体微观结构、调控扩散过程提供了新理论方向。 基于该设想，研究团队通过微观结构设计，结合先进磁性测试与结构分析表征手段，首次明确揭示主相 晶粒化学异质性诱导的重稀土选择性扩散行为，以及晶间区域ZrB2和REFe2相对重稀土扩散的阻碍效 应，是导致重稀土扩散效率低下的根本原因。 稀土永磁材料是新能源汽车、高端装备制造、电子信息、节能环保等战略性新兴产业不可或缺的核心材 料。推动稀土资源均衡化、高附加值利用，已成为落实国家新材料 ...

虽然DNA分析等新技术的应用加速了"隐存物种"的发现，但目前大多数新物种仍通过传统形态学方法 被识别。随着分子生物学技术的发展，未来还将发现更多仅在基因层面可区分的物种。 物种发现不仅关乎科学认知，更具有重要的现实意义。维恩斯教授表示，只有被科学描述的物种才能得 到有效保护。此外，新物种的发现常常带来医药和科技突破，例如从蜥蜴毒液衍生出的减肥药，受壁虎 脚掌启发的超强黏合材料等，自然界的生命智慧不断为人类带来惊喜。 团队下一步将重点分析物种发现的地理热点区域。（记者张梦然） 一项最新研究显示，地球"生命图谱"远未完整，而今正迎来物种发现的"黄金时代"：美国亚利桑那大学 科学家发现，目前新物种的发现速度远超以往任何时期，每年有超过1.6万个新物种被记录，这一速度 显著超过了物种灭绝的速率。相关研究报告发表在最新一期《科学进展》上。 大约300年前，瑞典博物学家卡尔·冯·林奈开启了动植物双名命名法的科学征程，他也被誉为现代分类学 之父。自他之后，科学家不断发现新的物种，致力于揭开地球生物多样性的神秘面纱。 新研究分析了约200万个已确认物种的记录数据。结果显示，2015年至2020年间，平均每年记录的新物 种超过 ...

Core Insights - Scientists from the Technical University of Munich and other institutions have revealed the formation secrets of deuterons and their antimatter particles using the Large Hadron Collider (LHC) [1][2] - The research indicates that these fragile atomic nuclei did not originate from the chaotic state of the Big Bang but rather from the decay of "short-lived" high-energy particles within a cooling "fireball" [1][2] - This advancement marks a significant step towards a deeper understanding of the strong nuclear force [1][3] Group 1 - The strong nuclear force is one of the four fundamental forces of nature, responsible for binding protons and neutrons within atomic nuclei [2] - At the LHC, protons collide at nearly the speed of light, recreating extreme conditions similar to those shortly after the Big Bang, allowing scientists to explore the essence of matter at a microscopic level [2] - The latest research from the ALICE experiment at the LHC discovered that the decay of extremely short-lived high-energy particles releases protons and neutrons necessary for forming deuterons [2] Group 2 - Approximately 90% of the observed (anti)deuterons originate from this newly discovered process rather than surviving from the initial moments of the Big Bang [2] - The ALICE experiment functions like a giant camera, capable of tracking and reconstructing up to 2000 particles produced in a single collision, enabling scientists to recreate early cosmic conditions [2] - This discovery has profound implications for fundamental nuclear physics research, enhancing the understanding of the strong nuclear force and expanding the horizons of cosmological studies [3]

Core Insights - The project is China's first integrated demonstration project for green hydrogen coupled with coal chemical industry, utilizing a "green electricity to hydrogen + excess electricity to grid" model, providing a replicable practice for the green transformation of the coal chemical industry [1] Group 1 - The project has achieved a hydrogen production capacity of 70.59 million cubic meters annually, which can reduce carbon dioxide emissions by 138,800 tons, equivalent to the carbon absorption of approximately 1,400 hectares of mature forest in one year [2] - The project has generated a total electricity output of 187.3 million kilowatt-hours, with 116.85 million kilowatt-hours dedicated to hydrogen production, resulting in a hydrogen production volume of 22.6 million cubic meters and saving 46,000 tons of standard coal, thereby reducing carbon dioxide emissions by over 40,000 tons [2] - The project has established a large-capacity electrolyzer technology for hydrogen production from renewable energy, filling a gap in the industry [1]