9月11日上午，国务院新闻办公室举行"高质量完成'十四五'规划"系列主题新闻发布会，国家卫生健康委相关负责人介绍"十四五"时期卫生健康工作发展成 就，并答记者问。会上介绍，我国建成世界上规模最大的疾病预防控制体系和世界上规模最大的医疗服务体系，已提交超过2400万条育儿补贴申报信息…… 戳图！一组数据看卫生健康工作发展成就！ and CHEFF TTS TUE - 193 T 游! 接版 闻网 20175 F E E 1 住院楼 Inpatient 我国建成世界上规模最 t BE F n - - THE LET = |切登制 |4 系和世界上规模最大 医疗服务体系。 澳门网 2020年至2024年，基层医疗卫生机构数量从977 增加到１０４万个，卫生人员数从434万人培 到526万人，诊疗量从41亿人次增长到5 亿人次。 中区 2024年我国人均预期寿命达到79岁，比20 年提高1。1岁，孕产妇死亡率、婴儿死亡率 续改善。 Iz - 31 - 14 截至2024年底,我国儿科执业医师数量达 24、39万 人；每千名儿童床位数达 2.47张。 具厂网 务 接受监督 线供管通门站 报码，并缉负 服务农村 关爱健康 ...

Core Viewpoint - The 2025 China International Service Trade Fair showcases JD Health's advancements in internet medical services and AI applications, highlighting the potential of health consumption to drive high-quality economic development [1][3]. Group 1: Health Consumption and Market Strategy - JD Health emphasizes that health consumption is a key driver for high-quality economic growth, leveraging "Internet + Healthcare" to enhance service efficiency and user experience [1][3]. - The company has launched 30 innovative global health products in the first half of the year, focusing on improving accessibility and catering to the health needs of the elderly population [3][5]. - JD Health's online pharmacy services have expanded to nearly 200 million insured users, providing convenient access to medication [3][5]. Group 2: Service Innovations and User Experience - JD Health has established a comprehensive "medical inspection, diagnosis, and medication" service model, allowing users to access medical consultations, home testing, and medication delivery seamlessly [5][6]. - The company has developed AI-driven products, including AI doctors and pharmacists, which have served over 50 million users, enhancing the online healthcare management experience [6][8]. - JD Health's collaboration with hospitals, such as the partnership with Wenzhou Medical University First Affiliated Hospital, has successfully implemented AI-driven patient service processes, benefiting over 2.2 million patients [8]. Group 3: Compliance and Quality Management - JD Health integrates compliance management into all aspects of its operations, having published 265 standardized treatment pathways and 16 core medical quality management systems over the past three years [5][6]. - The company aims to promote industry standardization through its nutritional and health product standards, ensuring user safety and trust [5]. Group 4: Future Outlook - JD Health plans to continue focusing on user experience and technological innovation to drive the development of "Internet + Healthcare," expanding service scenarios and enhancing service quality [8].

Core Insights - Ant Group's CEO, Han Xinyi, emphasized the importance of specialized AI models in the healthcare sector, stating that general models cannot replace them in the short term [1][2] - The company aims to address key issues such as data quality, hallucination suppression, and medical ethics to enhance AI's role as a supportive tool for doctors rather than a replacement [2][3] Group 1: AI in Healthcare - Ant Group is focusing on the dual characteristics of "urgent need + high frequency" in healthcare, combining low-frequency medical actions with high-frequency health management to create a fertile ground for AI services [2] - The ultimate goal of AI in healthcare is to provide personalized, precise, and trustworthy recommendations akin to those of professional doctors, which general models will struggle to achieve for a considerable time [2][3] - Han Xinyi firmly stated that AI will not replace doctors in the foreseeable future but will serve as an assistant, helping specialists expand their capabilities and allowing primary care physicians to have better support [2][3] Group 2: Challenges in AI Healthcare Implementation - High-quality data is essential, with costs for data labeling and training potentially exceeding hundreds of dollars per data point, requiring involvement from senior medical experts to ensure quality [3] - Suppressing hallucinations in AI models is a significant challenge, where the goal is to reduce errors without compromising service capabilities, necessitating careful balancing [3] - Medical ethics presents a complex challenge, prompting Ant Group to establish a Medical Ethics Advisory Committee to explore regulations collaboratively with top experts in the field [3] Group 3: Market Position and Future Plans - The healthcare market is valued at trillions, but Ant Group is not rushing into commercialization; instead, it is prioritizing the accumulation of professional data, hallucination suppression, and ethical standards [3] - As of June 2023, Ant Group launched the AI Health Manager AQ, which has served over 140 million users, connected with more than 5,000 hospitals, and assisted nearly 1 million real doctors [5]

Core Viewpoint - Alipay launched the first domestic "AI Payment" service at the 2025 Inclusion·Bund Conference, providing payment services for AI agents and integrating ordering and payment processes seamlessly for the first time in the industry [1][9]. Group 1: Service Launch and Features - The "AI Payment" service was first implemented in the "Lucky AI" ordering assistant at Luckin Coffee, allowing users to place orders and make payments through voice commands without leaving the AI chat interface [1][3]. - Users can now simply say "order" after receiving recommendations from "Lucky AI," completing the payment process after identity verification, making the experience as natural as conversing with a store clerk [3][6]. Group 2: Industry Impact and Future Prospects - Luckin Coffee's Product Director, Pu Yu, stated that the integration of "Lucky AI" with Alipay's AI Payment enhances the coffee consumption experience and lays the groundwork for expanding more service scenarios in the future [7]. - Ant Group's Chief Technology Officer, Zhu Lin, emphasized that the innovation aims to address safety and convenience in payments, predicting that new interactive payment methods could exceed 50% in the next five years, with a tenfold increase in diverse smart device payments [8]. - The launch of "AI Payment" is seen as a key step in activating the AI industry ecosystem, with the potential for the AI payment market to reach a trillion-level scale [8][9]. Group 3: Additional Innovations - Alipay has introduced several pioneering services, including the first "Payment MCP Server" for AI agents, "AI Tipping" for developers, "AI Subscription Payment" for service-based pricing, and the global first "Look-and-Pay" service for smart glasses [9]. - The introduction of "AI Payment" further completes the commercial loop from AI services to payments, promoting the prosperity of the AI ecosystem [9].

Core Viewpoint - The article discusses the safety of pesticide residues on fruits and provides methods to reduce these residues, emphasizing that most fruits purchased from legitimate sources do not exceed safety limits [1][5]. Group 1: Pesticide Residue Safety - Pesticide residues on fruits are not a health risk as long as they do not exceed safety limits [1]. - Most fruits bought from legitimate channels have pesticide residues that are within safe limits [5]. Group 2: Methods to Reduce Pesticide Residues - **Storage**: Allowing fruits like bananas, kiwis, and citrus to sit at room temperature for a few days can help degrade pesticide residues while the fruit ripens [2]. - **Water Washing**: Washing fruits with water can remove up to 70% of water-soluble pesticides, such as imidacloprid found in apples. Soaking soft fruits like mulberries and bayberries in water for about 10 minutes can effectively remove surface residues [3]. - **Peeling**: Although peeling fruits may result in some loss of nutrients, it is highly effective in removing pesticide residues, with up to 92% of certain lipid-soluble pesticides being eliminated [4].

Core Insights - The evolution of intelligence is categorized into four stages: genetic intelligence represented by DNA, individual developmental intelligence formed by brains and perception systems, collective intelligence achieved through language, and finally, true artificial intelligence. The current AI models, represented by large models, are still in the primitive "genetic intelligence" stage, relying heavily on vast parameters and pre-training data, which leads to high resource consumption and inefficiency [1] Group 1 - The essence of life evolution is the activation of intelligent mechanisms, and current AI models lack individual memory and self-awareness [1] - The core of intelligence lies in the ability of "self-verification and self-correction," which allows for critical examination of existing knowledge to identify and rectify errors. Current large models serve merely as static knowledge repositories and cannot comprehend their content, resulting in logical confusion and "hallucination" issues [1] - Despite possessing vast amounts of "knowledge," current AI models do not exhibit true "intelligence" [1] Group 2 - Looking ahead, it is essential to study intelligence as a rigorous scientific and mathematical subject, focusing on building systems with individual memory and closed-loop autonomy capabilities [1] - The advancement of machine intelligence towards true "autonomous intelligence" should be promoted within an explainable theoretical framework [1]

Core Insights - The core viewpoint emphasizes that nuclear fusion is a key technology for the next generation of civilization, particularly in the context of rising energy demands driven by artificial intelligence [1][3]. Industry Developments - The rise of artificial intelligence is significantly increasing global energy consumption, and nuclear fusion is seen as a solution to meet the energy needs of future AI technologies [3]. - Nuclear fusion has a high energy density, with 1 gram of fusion fuel releasing energy equivalent to 8 tons of oil [3]. - Since 2020, there has been a notable increase in capital investment in nuclear fusion, with major tech companies like Google and OpenAI entering the field [3][4]. Technological Pathways - The mainstream technologies pursuing controllable nuclear fusion are laser inertial confinement and magnetic confinement, both of which have high engineering requirements and associated costs [4]. - A proposed hybrid approach called "magnetic inertial confinement" aims to reduce costs and construction time while enhancing iteration efficiency, but it presents intellectual challenges that require a deep understanding of the underlying physics [4]. - The potential for AI to create self-learning systems that can explore and design new fusion reactors is highlighted as a breakthrough opportunity [4]. Market Trends - According to a report from the Fusion Industry Association, global investments in commercial nuclear fusion companies reached $7.1 billion, an increase of $900 million year-on-year, with 89% of surveyed companies optimistic about achieving grid-connected power by the late 2030s [4]. - China's nuclear fusion sector is rapidly advancing, with various forms of fusion research emerging and significant breakthroughs being made by research institutes, universities, and enterprises [5]. Future Outlook - The combination of advancements in artificial intelligence and nuclear fusion is seen as a potential catalyst for ushering in a new era of energy production, transitioning from terrestrial energy sources to cosmic energy forms [5].

Group 1 - The core principle of "Scaling Law" for large models remains valid, indicating that higher parameters lead to better performance [2] - The emergence of reasoning models has created a new curve for large-scale development, termed "reasoning scaling" [2] - The rapid decline in the cost per token for large language models (LLM) over the past three years will further reinforce the scaling law [2] Group 2 - AI is driving large-scale expansion of infrastructure, with the AI data center industry experiencing significant construction activity over the past year [2] - The large-scale construction in the IDC industry will stimulate the power ecosystem and economic development, reflecting the core of "AI industrial scaling" [2] Group 3 - Humanity is entering the "agent swarm" era, characterized by numerous agents interacting, executing tasks, and exchanging information [3] - The interaction between humans and agent swarms will form the basis of the "agent economy" [3] - Models and GPU computing power will become core assets for future organizations, necessitating the expansion of computing power to enhance models and enrich data [3]

央广网北京9月11日消息（总台中国之声记者李杨）据中央广播电视总台中国之声《新闻纵横》报道，为了在竞争激烈的网络环境中快速脱颖而出，一 些博主走上了"暴力"起号的歧途，虚假摆拍、挑动情绪、造谣牟利成为他们惯用的伎俩。甚至利用AI生成猎奇低俗内容，这些行为已经破坏了网络生态的健 康。"暴力"起号的背后，藏着怎样的"暴利算计"？ 猎奇、套用剧本，甚至挑拨操控情绪，某些博主为做火账号不择手段，被称为"暴力"起号毫不为过。他们制造焦虑、贩卖低俗谣言，骗取同情，造成诸 多显隐危害。 最近"净网-2025"严打网络违法犯罪专项行动公布的一起案件中，视频账号"苏星颜努力中""小颜拼搏中"等账号自今年6月14日起更新数十条作品，所有 视频均身穿外卖骑手工服，哭诉"后悔没好好读书""凌晨四点送外卖""每天跑十几个小时外卖"等悲惨经历，引发大量网民关注和讨论。 某外卖平台安全管理部高级经理胡靖海向记者表示，"苏星颜"所发布文案的内容和之前处置过的摆拍案例非常接近。"我们是今年6月初关注到的，身穿 外卖骑手工作服，以骑手身份出镜，谈自己跑外卖的悲惨经历，其中不少视频的浏览量都超过十万。经过核实，'苏星颜'也就是杨某，在3月注册以来 ...

Core Insights - The 2025 Inclusion Bund Conference opened in Shanghai, featuring a keynote speech by Richard Sutton, the 2024 Turing Award winner and a pioneer in reinforcement learning [1] Group 1: Machine Learning and AI - Sutton emphasized that current machine learning primarily focuses on transferring existing human knowledge to static, non-autonomous AI, reaching the limits of human data [2] - He introduced the concept of the "experience era," advocating for new data sources generated through direct interaction between intelligent agents and the world [2] - Sutton defined "experience" as the interplay of observation, action, and reward, asserting that knowledge is derived from experience, which is fundamental to intelligence [2] Group 2: Future of AI - Sutton proposed four predictive principles regarding the future of AI: 1. There is no consensus on how the world operates, and no single perspective can dominate [3] 2. Humanity will truly understand intelligence and create it through technology [3] 3. Current human intelligence will soon be surpassed by superintelligent AI or enhanced humans [3] 4. Power and resources will gravitate towards the most intelligent agents [3] - He categorized the history of the universe into four eras: particle, star, replicator, and design, asserting that humanity's unique ability to push design to its limits is crucial in the pursuit of AI [3] Group 3: Embracing AI - Sutton stated that artificial intelligence is the inevitable next step in the evolution of the universe, and it should be embraced with courage, pride, and a spirit of adventure [4]