Core Insights - The focus of artificial intelligence is shifting from general models to "vertical intelligent agents" that can deeply engage with specific industries, marking a new competitive landscape in AI applications, particularly in the Chinese real estate sector [1] - Deep Intelligence has established a clear development path with its "AI + Real Estate" strategy, aiming to enhance quality and efficiency in the real estate industry [1][2] Group 1: Strategic Framework - Deep Intelligence introduced the "Real Estate AI-Ready" strategy, which is built on "one exclusive space, four core capabilities, and three application scenarios," presenting a comprehensive system-level solution [2][3] - The intelligent architecture supporting this strategy includes a "Real Estate Brain" that allows all AI applications to share and evolve, ensuring consistency and professionalism from strategy to execution [3] Group 2: Core Capabilities - The four core capabilities include a database, knowledge base, expert repository, and engineering capability, forming a dedicated AI space for real estate [4] - The data moat will upgrade a vast, multidimensional dataset accumulated over 20 years into a structured database that AI models can read, providing reliable data for intelligent decision-making [4] - The knowledge moat will transform unstructured knowledge into traceable, verifiable, and inferable "industry secrets," ensuring AI outputs reflect professional language [4] - The industry moat will incorporate expert "thinking models" into AI, enabling it to understand business at an expert level [4] - The technology moat will integrate cutting-edge AI capabilities, such as the Agentic architecture, into specific products [4] Group 3: Product Offerings - Deep Intelligence has launched eight products covering three major application scenarios in real estate, including the CRIC2025 platform for decision-making and the "Digital Employee" for talent structure optimization [5][4] - These products aim to transform traditional data querying and manual analysis into automated workflows that deliver deep analytical reports [5] Group 4: Industry Trends - The shift towards vertical industry models is seen as a precursor to a new wave of AI application, with AI becoming integral to various sectors [9] - Companies are realizing that the speed of AI's impact on business is determined by their own transformation pace rather than just technological advancements [9][10] - Data quality is identified as a significant barrier to AI implementation in the real estate sector, affecting the entire industry [11] Group 5: Future Outlook - Deep Intelligence aims to be a reliable "co-builder" and "enabler" in the industry, continuously strengthening its professional moat and iterating on application products [11] - The company plans to open its core capabilities and interfaces to allow broader access to AI tools, fostering more applications in real estate [11] - A prediction is made that 2026 will be a breakout year for vertical industry AI applications in China [11]

Core Viewpoint - iOS 16 users are experiencing a peculiar issue where photos taken on Android devices appear with a red filter when transferred to iPhones, particularly noticeable when zooming in on the images [1][3] Group 1 - The red filter issue only manifests when users click on and enlarge the photos; thumbnails appear normal, leading to potential oversight during casual browsing [3] - The cause of the error remains unclear, but it is not widely reported, suggesting it may not be a common problem among all users [3] - A common factor among affected photos is that they were taken on non-iPhone devices, indicating a possible issue with how iPhones interpret embedded color profiles [3] Group 2 - Users can resolve the red filter issue by selecting the affected photo, choosing "edit," and then clicking "restore" to revert the image to its normal display [3]

Core Insights - Waterdrop Company is leveraging AI technology to transform health insurance services from "manual reliance" to "intelligent decision-making" by 2025 [1][2] - The launch of the AI underwriting expert "KEYI.AI" has significantly improved underwriting efficiency, reducing average processing time by 80%, response speed by 260 times, and achieving an accuracy rate of 99.8% [1][4] Group 1: AI Underwriting Transformation - The traditional health insurance underwriting process is plagued by inefficiencies, with an average processing time of 3-5 days and a high likelihood of misjudgment due to human error [2][3] - "KEYI.AI" integrates a professional knowledge base with large model reasoning capabilities, allowing for rapid analysis of user health information and precise matching with insurance policy requirements [3][4] - The system can provide underwriting conclusions in as little as 10 seconds, addressing issues of ambiguity and lack of clarity in traditional processes [3][4] Group 2: Comprehensive AI Integration - Waterdrop is extending AI capabilities across the entire insurance service chain, creating a smart closed loop from underwriting to customer service, sales, and claims [4][5] - The AI customer service tool "Bao Xiaohui" has been upgraded to support voice interaction, significantly improving service efficiency and reducing customer query handling time [5][6] - The claims process has been enhanced by the introduction of the AI digital employee "Bang Bang," which automates claims material identification and progress tracking, reducing processing time by 43.3% [7][8] Group 3: Industry Collaboration and Ecosystem Building - Waterdrop is promoting digital transformation in the health insurance industry by sharing AI capabilities and collaborating with insurance companies to create inclusive product offerings [8][9] - The establishment of the "Inclusive Product Alliance" aims to develop specialized products for underserved groups, resulting in the launch of 214 insurance products by November 2025 [8][9] - The focus on vertical integration of AI applications in the insurance sector marks a shift from generic technology to specialized solutions tailored for industry needs [9][10] Group 4: Future Outlook and Value Creation - The application of AI in health insurance is expected to shift from labor-intensive models to intelligent collaborative frameworks, enhancing automation in underwriting and customer service [10][11] - Waterdrop's approach demonstrates a dual focus on efficiency and inclusive protection, validating the potential of AI to create both commercial and social value [11][12] - The ongoing evolution of large model technology and integration with medical data is anticipated to further advance the health insurance sector towards smarter and more inclusive solutions [11][12]

Group 1 - The core viewpoint of the article is that human typing speed is currently an underestimated limiting factor in the development of Artificial General Intelligence (AGI) [1][2] - Alexander Embiricos, the product development head of OpenAI Codex, emphasizes that human reliance on prompts to guide and check AI work restricts AGI progress [2] - Embiricos suggests that if systems can be redesigned to allow agents to operate by default, it could unlock the "hockey stick effect," which refers to a sudden increase in demand after a period of low sales [2] Group 2 - Embiricos notes that achieving fully automated workflows does not have a straightforward path, as each use case requires its own approach [2] - He anticipates that noticeable progress in AGI development will be seen soon [2]

此外，据Teslarati 报道，马斯克上周在一次视频通话中表示，特斯拉将在今年年底前从其Robotaxi中移 除安全监督员。（思瀚） 特斯拉首席执行官埃隆·马斯克周日晚些时候表示，该公司目前正在测试没有安全监督员的Robotaxi，但 还没有真正载客。 Robotaxi Tracker网站显示，奥斯汀目前有31辆Robotaxi在运营，高于11月的29辆。马斯克在10月的播客 节目中表示，特斯拉的目标是在年底前将其在奥斯汀的Robotaxi车队规模扩大到500辆。 来源：环球网 【环球网科技综合报道】12月15日消息，据《商业内幕》报道，网友拍摄到一辆特斯拉Model Y在美国 得克萨斯州奥斯汀的街道上行驶，视频显示车内似乎没有人，甚至连安全监督员都没有。 ...

Core Insights - The flexible electrochromic dimming film technology developed by the Suzhou University of Science and Technology has made significant progress, addressing high manufacturing costs and complex construction processes in the electrochromic field [1][3] - The film has been successfully applied in smart curtain walls and energy-saving homes, with strategic partnerships established with several domestic companies [1][3] - The team plans to initiate market financing to promote this Chinese "smart film" in the international building energy-saving market [1] Technology and Innovation - The new technology relies on proprietary optical response materials and introduces a roll-to-roll three-layer composite structure, which simplifies the traditional five-layer structure [3] - The innovative material formulation allows for the self-synthesis of organic molecular materials, achieving a rapid response time of seconds and over 100,000 cycles of lifespan [3] - The three-layer device structure consists of a flexible substrate, an intelligent response layer, and a transparent conductor, paving the way for large-scale glass curtain wall renovations [3] Market Potential - There is a global demand for building energy efficiency, with hundreds of billions of square meters of traditional curtain walls needing upgrades [3] - The product is expected to enter a phase of large-scale production, with plans to expand the team and push the product into overseas markets [3]

当方向盘后空无一人，汽车如何应对北京复杂的路况？ 来源：北京科协 当清晨的地铁开始穿梭，当晚高峰的车灯汇成河海…… 我们习以为常的每一次出发与抵达，背后是谁在守护？ 答案，藏在一次深夜的地铁隧道巡检中，藏在一辆没有方向盘的汽车里，藏在一张我们看不见却无处不 在的智能网络内。 你或许从未察觉，AI正悄然成为北京这座超大型城市的"交通指挥官"。 这是如何实现的？ 当地铁收班，隧道里为何亮起"AI探照灯"？ 它们正在北京的轨道上、路面下和云端系统中真实运行。 你看到了吗？ 敬请关注"科技创新调研行"——六集"人工智能+"主题纪录片《AI向新力》之《驰骋：智能交通》。 与我们一同走进幕后，揭开智能交通的奥秘，看见科技如何让我们的城市行得更稳，走得更远。 "科技创新调研行"——六集"人工智能+"主题纪录片《AI向新力》，由北京市科学技术协会出品，北京 科普发展与研究中心承制，通过纪实镜头全景展现首都以人工智能为核心引擎，培育和发展新质生产力 的生动实践。 当红绿灯学会"思考"，道路能与汽车"对话"，这个系统究竟有多聪明？它甚至开始……自我演进？ "城市交通超脑"能预见未来的拥堵吗？它如何在新区建成前就规划出畅通的蓝图？ ...

Core Insights - The research identifies the MKK3 gene as a key factor in regulating the dormancy rhythm of barley seeds across different climatic zones, with Tibetan barley exhibiting the highest MKK3 activity globally [1][4] Group 1: Research Findings - The study reveals that MKK3 operates through a dual mechanism of "copy number + kinase activity" to influence seed dormancy [1] - The research indicates that seed dormancy is a critical trait modified during the domestication of crops, acting as a double-edged sword that can either enhance or reduce yield and quality depending on dormancy duration [3][4] - The team analyzed over 1,000 barley seed samples to understand the spatiotemporal evolution of MKK3, finding that climate and agricultural needs dictate the selection of MKK3 types [4] Group 2: Implications for Agriculture - The findings suggest that the dual regulatory mechanism of MKK3 can be utilized for molecular breeding, allowing for adjustments in seed dormancy through copy number changes or single-base editing [5] - The research provides a potential pathway for developing sustainable agricultural systems to address food security challenges posed by extreme climate changes and population growth [1][5] - The study highlights unique agricultural practices in the Tibetan Plateau, where barley is harvested before full maturity to adapt to extreme climatic conditions, ensuring rapid seed activation post-sowing [4]

来源：北京科协 从万户飞天的古老传说到神舟揽月的辉煌现实，中国人对宇宙的向往从未停止。今天，仰望星空的不再 仅仅是国家力量，更多来自民间的"追星人"，他们正用智慧与勇气，叩响商业航天的大门。 当火箭从荒漠升空，当飞船在轨道遨游，你是否好奇： 民营运载火箭首次入轨背后，经历了怎样的至暗时刻与绝地反击？ 在远离地球的寂静深空，怎么实现对卫星的精细化管理？ 在内蒙古的辽阔草原上，卫星技术如何实现"云放牧"？ ①研发车间 | 年轻的工程师们如何攻克"火箭复用"这一世界级难题？ ②实验室 | 中国首家民营太空飞船公司，如何让太空实验从国家级任务走向更多元、更灵活的"商业定 制"？ ③指挥中心 | "星星护卫队"如何确保每一颗卫星在太空中安全运转？ ④应用现场 | 从青藏高原的生态守护，到内蒙古草原的智慧放牧，卫星遥感与AI如何让航天科技真 正"落地"？ 距离普通人进入太空的未来还有多远？ 我们将带你走进： 这不仅是钢铁苍穹的硬核科技，更关乎一群人的梦想和勇气。 敬请关注"科技创新调研行"——六集"人工智能+"主题纪录片《AI向新力》之《凌云：商业航天》，看 梦想如何点亮星河。 "科技创新调研行"——六集"人工智能+"主 ...

Core Viewpoint - Aodong New Energy Co., Ltd. has submitted its listing application to the Hong Kong Stock Exchange, aiming to leverage its expertise in the battery swapping model for electric vehicles, which is seen as a promising solution for rapid energy replenishment in the electric taxi and heavy-duty truck markets [1][3]. Group 1: Company Overview - Aodong was founded on June 16, 2016, in Shanghai by notable entrepreneurs and focuses on promoting the battery swapping model for electric vehicles [3]. - The company has been a pioneer in the battery swapping industry, providing solutions for major events like the Shanghai World Expo and Guangzhou Asian Games [3]. - Aodong claims to have achieved several milestones, including the fastest battery swapping time of 20 seconds and the largest battery swapping network in cold regions [3]. Group 2: Market Potential - The battery swapping model is identified as the optimal solution for electric taxis, which require quick, safe, and cost-effective energy replenishment due to their high usage frequency [4]. - Aodong has established a network of 521 battery swapping stations across 16 cities, managing 160,000 batteries and facilitating over 100 million battery swaps, providing over 40 billion kilowatt-hours of energy to 130,000 electric taxis [4]. Group 3: Heavy-Duty Truck Market Insights - The electric heavy-duty truck market is projected to grow rapidly, with sales expected to reach 51,000 units by 2030, reflecting a compound annual growth rate of 37% [5]. - Aodong's technology allows for a 40-second battery swap for heavy-duty trucks, and the company is increasing its resources to collaborate with electric truck and autonomous driving companies [5]. Group 4: Technological Innovations - Aodong has developed its own V2S2G technology, creating a closed-loop system that connects vehicles, battery swapping stations, and the power grid, enabling efficient energy management [8]. - The technology allows for real-time interaction between the battery swapping stations and the grid, optimizing energy storage and distribution based on demand [8]. Group 5: Financial Performance - Aodong has significantly reduced its net losses, with figures showing a decline from RMB 7.85 billion in 2022 to an expected RMB 1.57 billion by mid-2025 [9]. - The company is positioned to lead the battery swapping industry in China and internationally, leveraging its core technology and operational capabilities [9].