每经记者｜叶晓丹 实习生 张京宝 吴屹涵 曾一洋 每经编辑｜魏官红 直拳、左右勾拳、侧踢、膝踢⋯⋯拳拳到"肉"的格斗比赛，在硅基生命之间激烈开打。 "上来就踢啊，动作非常灵敏。"伴随解说员声音而来的，是接连的金属碰撞声。 5月25日晚间，《CMG世界机器人大赛·系列赛》机甲格斗擂台赛在杭州举行，宇树科技以合作方身份参赛。据主办方介绍，这是首个以人形机器人为参赛 主体的格斗擂台赛。 从春晚上的机器人扭秧歌，到擂台上的机甲格斗，过去半年，宇树科技热度不减。如今，铁甲钢拳走进现实，宇树科技也来施展拳脚。宇树科技董事王其鑫 表示，此次机器人格斗会展示直拳、勾拳等动作招式，这些动作背后，主要依靠AI（人工智能）的技术手段来让机器人学习。 5月25日晚间，在现场观赛的浙江大学控制学院研究员李高峰向《每日经济新闻》记者表示："今天（即5月25日）的比赛非常精彩，让我们看到了人形机器 人的飞速发展。我个人感觉这次机器人展示出的侧踢、膝踢等动作，流畅度非常高，专业程度堪比拳击手。这样的动作通过传统的手工编程的方式是难以实 现的，这说明我们的机器人已经充分具备了从人类身上学习的能力。这让我们允许机器人快速地积累技能库，目前机器人 ...

Group 1 - The core event is the CMG World Robot Competition featuring humanoid robots in combat, showcasing their technological advancements and capabilities [1][2][3] - The competition format includes a scoring system based on effective hits, with specific points assigned for different body strikes and penalties for being knocked down [1] - The champion of the recent competition was an AI-controlled robot named "AI Strategist," highlighting the rapid evolution of humanoid robots from fiction to reality [3] Group 2 - Humanoid robots, such as G1, have been programmed with multiple basic fighting moves and combinations, demonstrating their learning capabilities in combat [5] - Operators control the robots in real-time using voice and remote control, showcasing advancements in human-robot interaction [7] - The combat competition emphasizes the importance of flexibility and balance in robots, with training focused on extreme conditions to enhance performance [9][11] Group 3 - The robot combat arena serves as a testing ground for algorithms, driving continuous optimization and performance improvements in robotic technology [12] - Experts suggest that while robots have exceeded expectations in some areas, there are still challenges in achieving dexterity and tactile feedback necessary for practical applications [13]

Core Insights - The banking industry is accelerating the exploration of artificial intelligence (AI) technologies, with AI becoming a frequent topic during the 2024 earnings announcements [1] - AI is reshaping banking business models, enhancing operational efficiency, customer service capabilities, and management processes [1][2] - The deployment of AI technologies, such as the DeepSeek model, is being widely adopted across various banking functions, leading to improved efficiency and cost reduction [1][2] Group 1: AI Implementation in Banking - Several banks, including Industrial and Commercial Bank of China (ICBC), have reported significant workforce efficiency gains through AI, with ICBC's AI applications replacing over 42,000 jobs annually [2] - ICBC has developed a comprehensive financial model system, "工银智涌," which is applied across more than 20 business areas, demonstrating AI's strong support for high-quality financial development [2] - Other banks, like China Merchants Bank, have also reported substantial productivity increases from AI applications, equating to the work of over 5,000 full-time employees [2] Group 2: Operational Efficiency Gains - AI technologies are enhancing internal operations, with banks reporting time savings of up to 60% in tasks such as due diligence report generation [3] - For example, China Merchants Bank's AI assistant has improved loan processing times by 54%, while Minsheng Bank has achieved over 30% adoption of AI-generated code in its development processes [3] - Postal Savings Bank's "小邮助手" has improved internal operations, handling over 3,000 inquiries daily and reducing processing times by approximately 20% [4] Group 3: Customer Interaction and Service Enhancement - AI applications in customer-facing roles, such as intelligent customer service and financial advisory, have significantly improved efficiency, with ICBC reporting a threefold increase in transaction efficiency [5] - Postal Savings Bank's trading robots have reduced transaction inquiry times by about 94%, showcasing the effectiveness of AI in streamlining operations [5] - Major banks are integrating AI into core business functions, such as credit management, with ICBC's AI assistant facilitating comprehensive credit approval processes [5] Group 4: Human-Machine Collaboration - The concept of "human-machine collaboration" is gaining traction, with banks focusing on how employees can effectively utilize AI technologies [6] - Agricultural Bank of China emphasizes the need for a "machine processing + human assistance" model to adapt to AI's impact on business processes [6] - Banks are also developing AI-driven tools to enhance employee productivity and decision-making, with initiatives to create a unified knowledge management system [6] Group 5: Challenges and Future Directions - Despite the advantages of AI, there are concerns about its implementation, with a significant portion of respondents expressing reluctance to deploy AI in customer service roles [7] - The rise of general models like DeepSeek presents opportunities for banks to enhance efficiency while addressing the challenges of human-AI interaction [7] - Industry experts suggest that banks should focus on AI infrastructure improvements, talent development, and fostering a collaborative environment to maximize AI's potential [7]

编辑丨 童任 以下文章来源于东针 ，作者东叔频道 东针 . 欢迎来到东针知识频道。我们专注与大家分享有价值的思考、商业新知，和关于世界的看法，刺穿生活 和生命，看见有价值的可能，不停学习，向内丰满，在这个沸腾的时代里，我们并肩成长。 来源丨 东针（ dongzhen-value ） 作者丨 高孜然 图源丨Midjourney 这次从"成瘾性"开始去聊这个话题。 科技本身，生来便具备"成瘾"特性的。人脑判断价值时有两大软肋：对即时反馈上瘾，对不确定性着 迷。 例如，每次手机嗡嗡震动，我们现在多是控制不住要去看的，这种反应其实就是"成瘾"的显性之一。 事实上，人类对"可能的好事"比"确定的好事"表现得会更为兴奋，手机里面未知的期待，比起打开手 机后的具体内容，更能刺激神经分泌快乐物质。 很明显的现象是当下多数人面对的"小红点焦虑症"，明明知道可能是垃圾广告，手指还是忍不住要戳 开那个闪烁的图标。 现在的科技发展得很好，趋势也很牛，各种自动化、AI、机器人、算法系统层出不穷，但我们不能否 认的是，这类科技正把人类千万年进化出的生存本能切成了碎片。 我们天生需要"行动后有收获"的完整链条，比如种地要等几个月丰收，打猎 ...

2025年，AI正以颠覆性力量重写营销底层逻辑，开启"人机协同"的增长新纪元。5月15日，由微播易主办的第九届社交媒体风向大会"AI+营销 增长新范 式"在南京金鹰世界G酒店盛大启幕。本次大会汇聚20+位AI技术先锋、营销翘楚、品牌领袖、媒体平台、内容创作者，围绕AI驱动的产业生态重构、战略布 局转型、商业运营提效、营销范式革新，展开可落地的增长方法论。 南京市建邺区副区长孔南钢、南京市商务局电子商务和信息化处处长徐雪峰、南京市建邺区商务局副局长高云霄等南京市相关领导莅临现场指导支持。建邺 区副区长孔南钢致开场辞："非常高兴第九届社交媒体风向大会在建邺举办，首先代表建邺区热烈欢迎大家的到来，一起共探AI数字时代的商业未来。南京 市建邺区，这座'未来之城'，正以开放包容的姿态、蓬勃发展的电商生态，期待与各位携手共创社交电商新篇章。" 大会重磅发布《2025 AI营销新范式应用指南》与《2025社交媒体与KOL营销趋势报告》，为企业把握AI时代机遇、构建差异化竞争力提供实战方法建议， 共享营销增长新范式。 以下是专家们对营销增长新范式的核心观点集锦： 未来的时代属于那些懂得如何与AI共舞、如何实现高效人机协同、如 ...

Core Insights - The Chinese hotel industry is undergoing a significant efficiency revolution driven by AI technology, transforming service models and competitive logic [1] - AI is expected to replace a portion of hotel labor, potentially saving up to 30% in labor costs while shifting roles from repetitive tasks to high-value services [1][4] Group 1: AI Implementation in Hotels - Companies like Huazhu and Shoulv Rujia are increasingly adopting AI technologies, such as smart front desk robots and AI digital managers, to enhance operational efficiency [2][3] - AI applications in hotels are improving various processes, with data showing a 50% increase in efficiency for tasks like order inquiries and room assignments [3] - The "AI digital manager" is already operational in 3,200 stores under Shoulv Hotel Group, achieving a 90% usage rate and conducting 420,000 automatic price adjustments this year [3] Group 2: Cost Reduction and Efficiency - AI is helping hotels reduce labor costs by 30% through self-service solutions and energy management systems [4] - The average room price (ADR), occupancy rate (OCC), and revenue per available room (RevPAR) have shown a downward trend, prompting hotels to focus on cost reduction [5] - AI-driven revenue management systems are dynamically optimizing pricing, which has positively impacted RevPAR for some hotels [5] Group 3: Transition to Human-Machine Collaboration - The hotel industry is shifting from a labor-intensive model to a human-machine collaborative approach, with over 60% of surveyed entities acknowledging this trend [6] - Challenges remain in AI adoption, including insufficient technology maturity and a lack of employee skills in utilizing AI [6] - Future training will focus on enhancing digital capabilities and integrating AI with operational processes to avoid traditional practices [7]

Core Insights - The Chinese hotel industry is undergoing a significant efficiency revolution driven by AI technology, transforming service models and competitive logic [1][10] - Major hotel companies are increasingly adopting AI to shift from labor-intensive operations to human-machine collaboration, with AI expected to replace a portion of human labor and reduce labor costs by 30% [1][7] AI Implementation in Hotels - AI is penetrating various roles within the hotel industry, with companies like Huazhu implementing smart front desk robots for self-check-in and humanoid robots for luggage handling and room cleaning [3] - AI is also enhancing backend management, as seen with ShouLai RuJia's "AI Digital Manager," which analyzes operational data to assist hotel managers with real-time insights and future traffic warnings [3] - Wanda Hotels is utilizing AI for guest experience management and has created over 200,000 service tags to improve personalized service for over 120,000 members [3] Cost Reduction and Efficiency - AI applications are helping hotels reduce labor costs by 30% through self-service solutions, while energy management systems also contribute to a 30% reduction in energy consumption [7] - The "AI Digital Manager" is expected to handle 60% of repetitive tasks, allowing human managers to focus on more strategic aspects of hotel management [4][7] - Training periods for new employees have been significantly shortened, with some companies reporting a reduction from 7 days to 2 days for onboarding [7] Market Challenges and Trends - The hotel industry is facing pressure on key performance indicators such as average daily rate (ADR) and occupancy rate (OCC), leading to a focus on cost reduction as a priority [8] - Major hotel groups have reported declines in ADR and OCC, with Jinjiang Hotels showing a drop in ADR from 529.74 yuan in 2023 to 490.51 yuan in 2024 [8] - AI revenue management systems are dynamically optimizing pricing, which has positively impacted revenue per available room (RevPAR) [8] Future Outlook - The hotel industry is moving towards a human-machine collaborative model, with over 60% of surveyed entities acknowledging this shift [10] - There are challenges in AI adoption, including the maturity of technology and the need for employee training in AI skills [10] - Future training will focus on enhancing digital capabilities and integrating AI with management processes to avoid traditional operational habits [11]

Group 1: AI Integration in Daily Life - The core viewpoint emphasizes the integration of artificial intelligence (AI) with the goal of improving and safeguarding people's livelihoods, enhancing daily work, learning, and living experiences [1] - AI is described as a close partner in human life, redefining how individuals perceive the world and connect with others, creating a new landscape of human-machine collaboration [1] Group 2: Cognitive Evolution and Learning - AI is reshaping human cognitive boundaries, acting as a "cognitive accelerator" that reconstructs learning paradigms by overcoming traditional limitations of memory and time [2] - The collaboration between human inquiry and AI computation allows for a deeper understanding of complex concepts, enabling individuals to reach cognitive depths at lower costs [2] - AI fosters "algorithmic thinking," which helps individuals break down complex problems into computable steps, enhancing decision-making processes through data analysis [2] Group 3: Enhancing Quality of Life - AI is positioned as a tool for efficiency and life care, liberating individuals from mundane tasks and allowing for a more meaningful pursuit of life [3] - The technology provides multidimensional care, such as companionship robots for the elderly and personalized education for students, marking a shift from being mere efficiency tools to becoming life partners [3] Group 4: Emotional Connection in the Digital Age - Concerns about AI diminishing human emotional connections are addressed, highlighting that technology is neutral and its impact depends on usage [4] - AI creates new channels for emotional expression, such as generating digital illustrations from user descriptions and providing emotional support through chatbots, thus expanding the dimensions of emotional communication [4] - The collaboration between humans and AI in emotional contexts is seen as a beneficial supplement rather than a replacement for human relationships [4] Group 5: Philosophical Reflections on Human Existence - The rise of AI prompts a modern inquiry into the essence of being human, emphasizing that while AI can perform various tasks, it cannot replicate the unique depth of human experience [5] - The focus is on constructing a new framework for existence that leverages AI to extend capabilities while ensuring human values and dignity remain central [5] - The narrative suggests that the evolution of civilization is a history of co-evolution with tools, and the emergence of AI signifies a more intelligent, warm, and creative form of life rather than a retreat of humanity [5]

Group 1 - The development of Agents opens a new paradigm for human-machine collaboration, providing new development ideas for AI applications. Future model capabilities are expected to continue improving, with Agents in various fields becoming the carriers for models to reach end users, maintaining a positive outlook on the subsequent development of AI applications [1] Group 2 - ByteDance has launched a general-purpose Agent, initiating competition among major companies. On April 18, ByteDance's "Kouzi Space" began internal testing, allowing users to choose between general interns skilled in various tasks or industry experts to complete work through interaction with AI. The platform supports adding MCP extensions, further expanding the capabilities of AI Agents, with MCP expected to become the HTTP protocol of the AI era. This move marks the beginning of major companies' layout for general-purpose Agents, with Alibaba and Tencent likely to accelerate their efforts, leading to rapid ecosystem expansion [4] Group 3 - Zhipu AI has officially released AutoGLM "Senti" on March 31, showcasing a new intelligent agent with deep research capabilities and practical operation. AutoGLM "Senti" utilizes Zhipu's self-developed full-stack large model technology, achieving state-of-the-art (SOTA) performance in multiple testing environments. The core model is gradually being open-sourced, promoting further ecosystem expansion and rapidly catalyzing related application scenarios [4] Group 4 - Genspark has launched a comprehensive AI assistant called Genspark Super Agent on April 2, which integrates multiple AI models for efficient task execution. The Genspark system employs a mixed agent (MoA) framework, incorporating over 80 tools and more than 10 advanced datasets, with each model tailored for specific tasks to provide more accurate and reliable responses [5]

花80元租3小时"登山神器"快速爬泰山；不用发力提起上百斤重物；脊髓损伤患者稳步行走…… 从户外运动到日常劳作再到医疗康复，外骨骼机器人正快速走进大众生活，成为人类突破身体限制的 新"器官"。 对于未来发展趋势，张继宇表示，外骨骼机器人未来的核心应用场景，更倾向于聚焦医疗康复、工业与 物流及消费级人体机能增强等领域。在技术方面，会持续关注具身智能与人机协同，在增强能力的同时 保留人类决策的灵活性，将机械更好地应用于需要复杂判断的非结构化环境。整体而言，外骨骼机器人 秉持的是"以人为中心"的设计哲学，旨在不断提升人类能力，未来10年将在垂直领域实现大规模渗透。 市场前景广阔 市场研究机构Grand View Research发布的数据显示，2030年，全球外骨骼市场规模将预计达68亿美元。 医疗康复领域占比超50%，工业领域增速最快。 在中国，医疗康复需求更为巨大。 外骨骼机器人来了 近日，一款售价2500元的消费级外骨骼机器人面向个人用户销售，上新短短15秒钟就售出几百台且宣告 售罄。这款产品来自杭州程天科技发展有限公司(以下简称"程天科技")，主要针对老年助行、户外运动 等消费场景，采用轻量化碳纤维材料与仿 ...