2025年被业界定义为大模型应用落地元年，全球大模型技术加速从"技术验证"向"商业闭环"跨越。7月3日，2025全球数字经济大会人工智能融合应用发展论 坛在国家会议中心举行。聚焦"应用落地、场景驱动"，与会嘉宾分享了大模型在医疗、机器人、教育等领域的应用，深入探讨了AI技术创新如何有效支撑行 业场景需求，打通从技术突破到大规模应用的路径。 机器人：最能跑的变成最能干活的 北京人形机器人创新中心CEO、天工团队负责人熊友军表示，虽然现在人形机器人都能参加马拉松比赛了，但是具身智能行业发展至今仍然有很多瓶颈制 约。主要在于：一是身体移动能力较差，稳定性有待提升；二是真实环境下的操作数据稀缺；三是存在泛化性能较低等问题，在换场景和换任务或者换本体 时，不一定有很高的成功率。 医疗："造医生"缓解供给不足 "科学时代，主要是人类在造工具。智能时代，我们认为更重要的是人类在造人。其中，医生作为知识密度高且被广泛需求的群体，是非常重要的造人方 向。"百川智能医学副总裁朱祖懿在论坛上表示，百川智能在医疗领域的主要探索路径是"造医生""改路径""促医学"。 具体来看，"造医生"即通过大模型来造"AI医生"，缓解医生供给不足难 ...

以下文章来源于卫诗婕 商业漫谈 ，作者卫诗婕 卫诗婕 商业漫谈 . 职业作者卫诗婕记录商业史和我们的时代。虎嗅2024年度作者、小宇宙2024年度新播客、微博2024商业洞察奖、金字节奖年度新锐作者、网易非虚构 文学奖年度作者，全球TSA中文报道十佳。曾任《极客公园》执行总编。代表作：《ofo的终场战事》 在当下高歌猛进中的AI浪潮中， 世界需要多元的价值碰撞。 文 ｜ 卫诗婕 来源｜ 卫诗婕 商业漫谈（ID：Jane_shijie） 封面来源 ｜ 视觉中国 天真乐观的科学家和创业者们常低估人性的缺陷，而高谈阔论的历史和哲学家们，在描绘悲观问题时又很难提出解决方案。 ——这是每一代技术浪潮来袭时，人类世界常常出现的争议形式。 在这一轮AI浪潮也不例外。 来自 以色列的学者尤瓦尔 · 赫拉利坐在镜头前 ，一对标志性的精灵耳，无框眼镜背后，常露出深邃而忧虑的眼神。他是 全球知名的畅销书作家，所著 的"人类简史"系列畅销书被翻译成65种语言 ，使其对AI等技术伦理问题的深入思考传遍全球。 他的身边坐着 王小川，2023年大模型浪潮中最积极的中国创业者之一，他所创立的百川智能，致力于AI医疗的前沿实践 ——百川打造的 ...

Group 1: AI in Clinical Diagnosis - Artificial intelligence is transforming clinical diagnosis from experience-based medicine to data-driven approaches, enhancing personalized treatment [1][3] - AI technologies, such as digital twin doctors, are being integrated into medical teams, allowing for modeling and simulation of patient data to improve diagnosis and treatment [3][12] - A deep learning model for CT myocardial perfusion imaging has been developed to accurately assess myocardial ischemia, providing valuable quantitative metrics for doctors [6][7] Group 2: AI in Surgical Procedures - AI-assisted surgical robots are being utilized for remote surgeries, breaking geographical barriers and allowing for complex procedures to be performed from a distance [8][9] - The development of AI systems for pre-surgical planning is enabling surgeons to visualize and simulate operations, improving precision and outcomes [11][12] - AI is expected to play a significant role in the future of smart hospitals, enhancing patient monitoring and treatment planning through digital twin technology [13] Group 3: Ethical Considerations and Future Implications - The integration of AI in healthcare raises ethical questions, particularly regarding data security and the role of AI in decision-making processes [18][19] - Experts emphasize that AI should serve as a "super assistant" to doctors, enhancing their capabilities rather than replacing them, especially in areas requiring empathy and moral judgment [19] - The future of healthcare is envisioned as a collaboration between AI and human doctors, where AI alleviates repetitive tasks, allowing doctors to focus on patient care [19]

Core Insights - The establishment of the world's first hospital operated entirely by 42 artificial intelligence doctors marks a significant advancement in AI-driven healthcare in China [1][2] - This AI hospital integrates cutting-edge technology across 21 medical departments, showcasing China's commitment to leveraging AI in medical care [1] - The AI doctors utilize large language models to autonomously communicate and manage a complete patient care process, from pre-hospital procedures to follow-up [1] Summary by Sections - **AI Hospital Operations** - The AI hospital processed over 10,000 virtual patients within a few days, demonstrating its efficiency compared to human doctors who would typically take about two years to handle the same volume [1] - The AI system continuously learns from vast medical literature to optimize its diagnostic and treatment skills [1] - **Impact on Healthcare** - This innovation is expected to reduce the workload of human doctors, decrease diagnostic errors, and improve treatment consistency [1] - The development emphasizes the importance of adhering to national medical regulations while exploring effective collaboration between AI and human medical staff [2] - **Future of AI in Medicine** - The AI hospital's success provides a forward-looking perspective on how AI can enhance patient experience and build trust in medical applications [2] - The milestone event highlights the rapid growth of AI as a key component of medical infrastructure in China, addressing modern medical challenges through a complementary approach with human intelligence [2]

当身体不适走进一家诊所，没有排队挂号的焦虑，也没有等待医生接诊的漫长，一位"数字医生"在屏幕 后即刻开始问诊是怎样的场景？这并非遥远的科幻设想，而是正在发生的医疗革新。 日前，南都湾财社记者获悉，全球首个真正意义上由AI主导诊疗流程的"AI诊所"，已在沙特阿拉伯落 地，其背后是来自中国的"AI医生"，核心技术来源于中国AI医疗企业森亿智能。 随着大模型技术的飞速发展，"AI+医疗"赛道正迎来新一轮爆发期。据公开数据显示，仅2025年第一季 度，国内医疗器械领域的融资总额已突破80亿元人民币，同比增长显著。 在资本与技术的双重驱动下，AI从辅助走向前台，尝试独立"看诊"，其每一步进展都牵动着行业的神 经，也引发了关于未来医疗模式的广泛讨论。 AI"独立门诊"初体验："无人诊所"如何看病问诊？ 在森亿智能的AI诊所模拟体验区，记者得以一窥这种新型"无人诊所"的运作模式。其核心流程与当前国 内医院普遍应用的AI系统有着本质区别——AI不是只起到辅助作用，而是从幕后走向台前，直接承担 了以往主要由人类医生完成的问诊工作。 患者进入模拟诊室后，首先在一块交互式PAD上通过输入手机号码等方式完成身份信息的初步确认。随 即 ...

Core Insights - Alipay has introduced a voice call feature aimed at enhancing social connectivity within its payment platform, signaling its ongoing pursuit of relevance in connecting people [1][3] - The company is not merely competing with WeChat but is integrating communication capabilities into payment activities, emphasizing the importance of relationship-building in financial transactions [3][4] - Recent updates to Alipay include various features that enhance user experience across payment, finance, lifestyle, and social interactions, with a focus on appealing to younger users [4][12] Feature Summaries - The voice call feature allows users to communicate directly during transactions, enhancing the payment experience by facilitating real-time discussions about shared expenses or identity verification [1][3] - "Small Wallet" is a relationship-based accounting tool that enables users to share expenses with friends and family, transforming traditional bookkeeping into a social activity [7][8] - The "Tap to Pay" feature utilizes NFC technology for quicker transactions, aiming to make payment a more engaging and social experience, similar to WeChat's "Shake" feature [7][8] User Engagement Strategies - Alipay is investing in user retention by offering cash rewards for interactions within the "Small Wallet" feature, encouraging users to engage with the platform [8] - The company recognizes the need to adapt to changing user preferences, as it faces competition from other apps that cater to social and content needs [12][19] - Alipay's updates reflect a broader strategy to create a comprehensive "lifestyle operating system" that integrates various aspects of daily life, from payments to health management [20] Health Management Initiatives - Alipay is expanding its AI health module, introducing features like a weight loss section and personalized health advice, positioning itself as a health management platform [15][17] - The company aims to establish a new entry point for users in health management, which could become a significant aspect of its service offerings beyond payments [17][19] Challenges and Market Position - Alipay is facing challenges in maintaining user engagement and relevance as it evolves from a payment tool to a multifunctional platform [18][19] - The company is aware that its previous dominance is waning, and it is striving to create memorable user experiences that resonate with current needs [19][20] - Despite its rapid updates and feature expansions, there is concern about whether users will perceive these changes as valuable and relevant to their daily lives [18][20]

Core Insights - The article discusses the evolution of AI agents, highlighting their transition from basic programmed responses to advanced autonomous learning capabilities [1][2][3] Group 1: Evolution of AI Agents - Early AI agents were limited to memorization and could not adapt to new situations, exemplified by IBM's Deep Blue, which relied on stored chess moves [2] - The introduction of AlphaGo in 2014 marked a shift towards self-learning, allowing AI agents to improve their skills through experience [2] - The emergence of large language models like ChatGPT in 2022 demonstrated a significant leap in AI capabilities, enabling agents to interpret and generate new information based on context [2] Group 2: Future of AI Agents - Next-generation AI agents are expected to learn autonomously by interacting with their environment, requiring minimal initial data to acquire new skills [3] - These advanced agents will be capable of performing complex tasks in various settings, such as cooking based on personal preferences or assisting in medical diagnoses [3] - Current AI agents still face limitations in cross-task and cross-environment adaptability, which remains a key development goal for the future [3] Group 3: Ethical Considerations - As AI technology progresses from digital to physical realms, the importance of trustworthiness in AI agents increases, necessitating ethical guidelines and boundaries for their behavior [4]

Core Viewpoint - The rise of DeepSeek is reshaping the AI industry in China, prompting startups to adjust their strategies towards application-focused development rather than foundational model training [1][2]. Group 1: Strategic Adjustments of Chinese AI Startups - Startups like Kimi, Zero One Universe, Baichuan Intelligence, and Zhipu AI are shifting resources towards application development and reducing spending [1][3]. - Zero One Universe, founded by former Google China head Kai-Fu Lee, has ceased pre-training of its models and is now focusing on selling customized AI solutions based on DeepSeek [4]. - Kimi is cutting marketing expenses to enhance model training and replicate DeepSeek's success, while also exploring monetization through user engagement [5]. - Baichuan Intelligence is concentrating on healthcare applications, specifically developing AI tools to assist in diagnostics for hospitals [5]. Group 2: Company Performance and Financials - Zhipu AI is attempting to establish its enterprise sales business, reporting a revenue of 300 million RMB (approximately 41 million USD) in 2024, with a loss of 2 billion RMB [6]. - Zhipu AI has around 800 employees, making it the largest LLM startup in terms of workforce, compared to DeepSeek's approximately 160 employees [6]. - There are indications that Zhipu AI aims for an IPO by the end of the year, but the development of DeepSeek may impact this goal [6].