80家参展公司、150多个机器人产品，与观众的感知一致，今年WAIC无论是科技创业还是投资话题， 热度最高的赛道无疑集中在具身智能。 "作为投资者，都有点心虚。"7月28日，启明创投主管合伙人周志峰在WAIC的创投论坛上如此表示。 仅仅在过去的一个月里，多家具身智能企业的融资消息频出，大厂和机构争相出手，热钱涌入，大家都 要挤上牌桌，头部公司估值水涨船高。据IT桔子数据，截至目前，今年国内人形机器人领域共发生99起 投融资事件，远超去年全年的67起，但这个赛道仍充满了高度不确定性。 去年起，机构就感受到AI投资越来越"热"了。整个2025年上半年，AI初创企业吸引了全球53%的风险投 资基金，虽然市面上出现过"预训练这条路快走到头了，Scaling Law是不是不灵了"的论调，但投资仍在 持续流向基础模型公司。 全球53%的风险投资基金流向AI初创企业/智通财经记者摄 AI投资"热"的同时，也意味着噪音更多了，怎么在噪音中独立判断且思考布局，是对投资人的考验。 而从创业者角度来看，AI创业资源消耗巨大，且是全球竞争最激烈的行业之一，在这样的行业里创 业，难度同样在提升。 旷视科技CEO印奇以"千里科技董事长" ...

Core Viewpoint - The 2025 World Artificial Intelligence Conference (WAIC) in Shanghai highlighted the significant advancements in AI technology, particularly in the commercialization of robotics, with a focus on practical applications across various industries [1][19]. Group 1: Industry Trends - The WAIC showcased over 800 participating companies and more than 40 large models, indicating a shift from content creation and customer service to applications in industrial manufacturing, healthcare, and financial risk control [1]. - The keyword "technology landing" emerged as a central theme, emphasizing the importance of practical applications of AI technology in real-world scenarios [1]. Group 2: Company Developments - Cloud Deep Technology has successfully implemented its products in over 600 industry applications across 44 countries and 34 provinces in China, covering sectors such as construction surveying, industrial operations, emergency firefighting, and security patrols [3]. - The company has developed a new generation "Intelligent Patrol System" that can autonomously manage multiple quadruped robots, enhancing inspection efficiency and quality in complex environments [9]. Group 3: Customer Demand - There has been a shift in customer focus from the technical capabilities of robots to their ability to replace manual labor and reduce operational costs [5]. - For instance, a transformer station in Zhejiang has fully adopted Cloud Deep's quadruped robots for routine inspections, achieving over 1,000 hours of average fault-free operation [7]. Group 4: Product Innovations - The "Zhi Ying Lite3" robot, which allows for immersive interaction through AR glasses, was a highlight at the WAIC, showcasing the integration of embodied intelligence and large models [10]. - The "Mountain Cat M20" robot has demonstrated exceptional mobility and is being explored for applications in power inspection, emergency firefighting, and logistics [12][14]. Group 5: Financial Growth and Future Outlook - Cloud Deep Technology recently completed a financing round of nearly 500 million RMB, which will be used to expand production lines for quadruped robots and advance humanoid robot technology [18]. - The company is entering a new phase of large-scale production, with a clear focus on practical technology applications, as the market increasingly favors companies that demonstrate effective technology implementation [15][18].

Core Viewpoint - The article discusses the rapid evolution of AI capabilities and the introduction of three core products by Wukong Chip, aimed at enhancing AI efficiency and resource utilization in the context of the impending AGI threshold [2][26][32]. Group 1: Three Boxes Overview - The three boxes represent a comprehensive AI efficiency enhancement solution designed for future intelligent infrastructure, covering various scales from cloud to edge [7][26]. - The three boxes include: - **Big Box**: Wukong AI Cloud, designed for large-scale computing networks, integrating over 25,000P of computing power from 53 core data centers across 26 provinces [10][12]. - **Medium Box**: Boundless Intelligent Computing Platform, aimed at large clusters for model training and inference, successfully supporting over 100 large R&D scenarios [15][17]. - **Small Box**: Boundless Terminal Intelligence, focused on smart terminals, providing an integrated solution that allows for significant operational efficiency even during device sleep states [20][21][24]. Group 2: AI Efficiency and Resource Utilization - The article emphasizes the need to address the contradiction between limited resources and infinite demand in AI, proposing two paths: improving intelligent efficiency and expanding computing resources [32][34]. - The value space for AI application deployment is defined as the product of scenario scale, computing resources, and intelligent efficiency, highlighting the importance of efficiency over mere resource expansion [34][35]. - The introduction of the three boxes is seen as a manifestation of this efficiency enhancement strategy, focusing on optimal solutions within resource constraints rather than merely increasing model sizes or computing units [35][36].

Core Insights - The "AI Practicalists" event at the 2025 World Artificial Intelligence Conference (WAIC) focused on the application of AI technology in various industries, highlighting the transition of AI from its first phase to a more productive second phase for enterprises [1][2] - DingTalk's CTO, Zhu Hong, emphasized that the next few years will see the rapid emergence of vertical AGI (Artificial General Intelligence) and that 2025 will mark the year of implementation for industry-specific and enterprise-exclusive models [1][2] - DingTalk aims to enhance its AI capabilities and assist clients in leveraging data value and industrial intelligence to achieve new heights in the AI era [2][3] AI Application Scenarios - Zhu Hong revealed the top ten AI capabilities commonly used on DingTalk, which include voice-to-text, message summarization, translation, AI spreadsheets, and intelligent financial data insights [2] - These AI capabilities simplify human-machine collaboration, lower the skill requirements for users, and significantly improve efficiency by reducing repetitive tasks [2] - The release of the "AI Practicalist" case manual showcases AI applications from 12 well-known companies across various sectors, demonstrating significant cost savings and efficiency improvements [2] Future Outlook - DingTalk plans to deepen its platform capabilities and lower the barriers to AI application, collaborating with numerous enterprises to transform AI technology into a new productive force for business development [3] - The company expresses a commitment to exploring infinite possibilities in the AI implementation year and beyond [3]

Core Viewpoint - The article discusses the launch of a comprehensive AI efficiency enhancement plan by Wu Wen Xin Qiong, aiming to meet "infinite" demands with limited resources through three core products designed for various computing power scenarios [2][3]. Group 1: Product Offerings - Wu Wen Xin Qiong introduced three main products: "Wu Qiong AI Cloud" for global computing networks ranging from 10,000 to 100,000 cards, "Wu Jie Intelligent Computing Platform" for large-scale intelligent computing clusters from 100 to 1,000 cards, and "Wu Yin Terminal Intelligence" for limited computing terminals from 1 to 10 cards [2]. - The overall solution is a soft-hard collaborative system for future intelligent infrastructure, providing full-link support from model scheduling to application deployment across diverse computing power scenarios [2]. Group 2: Efficiency and Resource Management - The CEO highlighted the challenge of limited resources in the pursuit of Artificial General Intelligence (AGI), emphasizing the need to enhance intelligent efficiency and expand computing resources [4][5]. - The article notes that the evolution of AI from traditional algorithms to AI 1.0 and AI 2.0 has been driven by the Scaling Law, which continuously pushes the boundaries of intelligence through resource utilization [4]. - Wu Wen Xin Qiong aims to maximize the potential of every unit of computing power, asserting that the intersection of improved efficiency and resource expansion is where the new AGI threshold lies [5]. Group 3: Value Space of AI Applications - The value space for AI application deployment is defined as the product of scenario scale, computing resources, and intelligent efficiency [5]. - The company is committed to achieving the ultimate vision of "limitless intelligence and precise computing" by harmonizing scenario scale, computing resources, and intelligent efficiency [5].

Core Viewpoint - The article discusses the launch of GLM-4.5, an open-source state-of-the-art model designed for reasoning, coding, and agent applications, marking a significant technological breakthrough for the company [2]. Group 1: Model Overview - GLM-4.5 integrates reasoning, coding, and agent capabilities into a single model, achieving state-of-the-art performance in open-source [3]. - The model features a mixed expert (MoE) architecture with a total parameter count of 355 billion and 32 billion active parameters for GLM-4.5, while GLM-4.5-Air has 106 billion total parameters and 12 billion active parameters [3]. - GLM-4.5 offers two modes: a thinking mode for complex reasoning and tool usage, and a non-thinking mode for immediate responses [3]. Group 2: Performance Metrics - The model was evaluated against 12 representative benchmarks, achieving the third-best global score, the first among domestic models, and the top position among open-source models [4]. - GLM-4.5 has half the parameter count of DeepSeek-R1 and one-third of Kimi-K2, yet outperforms them in several benchmark tests due to higher parameter efficiency [6]. Group 3: Cost and Efficiency - GLM-4.5 demonstrates significant cost and efficiency improvements, with API call prices as low as 0.8 yuan per million tokens for input and 2 yuan per million tokens for output [8]. - The model was tested against Claude Code, Claude-4-Sonnet, Kimi-K2, and Qwen3-Coder across 52 programming tasks, showing competitive advantages, particularly in tool invocation reliability and task completion rates [10]. Group 4: Broader Implications - In July, the company also released GLM-4.1V-Thinking, a new generation multimodal model that excels in reasoning capabilities, achieving top scores in 23 out of 28 authoritative evaluations [11]. - The company is rapidly expanding its overseas business, providing infrastructure solutions to various countries in Southeast Asia, the Middle East, and Africa [13]. - The company aims to establish a "verifiable, responsible, and standardized" technological image in emerging markets ahead of its Western competitors [14].

7月29日，三大指数多数下跌。 国泰海通证券指出，本次WAIC2025在人形机器人领域的展示集成核心技术、关键零部件到整体具身智 能产品的完整产业链，人形机器人成大会焦点之一。我们认为，人形机器人是AGI理想载体，近期产业 内催化不断，新技术、新产品持续涌现，投资机遇大。 华龙证券表示，近期人形机器人领域明星企业产品密集发布，叠加WAIC等重磅会议召开，人形机器人 板块迎来密集催化。 （本文机构观点来自持牌证券机构，不构成任何投资建议，亦不代表平台观点，请投资人独立判断和决 策。） 此外，Wind数据显示，截至7月28日，机器人ETF（159770）基金份额、规模均在深市同标的产品中位 居第一。 机器人ETF（159770）紧密跟踪中证机器人指数，行业配置包括制造业与信息传输、软件和信息技术服 务业等，重仓股含汇川技术、科大讯飞、石头科技等。该ETF还配备了2只场外联接基金（A类： 014880；C类：014881）。 消息面来看，据人民网，8月14日至17日，全球首个以人形机器人为核心的综合性盛会——2025世界人 形机器人运动会将在北京国家速滑馆（"冰丝带"）举行。记者获悉，目前，赛事首轮测试赛正陆续举 ...

Core Viewpoint - The article emphasizes that computational power is the foundation of the intelligent era, with its scale and efficiency determining the boundaries of the digital future. The company has introduced a comprehensive AI efficiency enhancement plan and three core products aimed at optimizing computational resources and enhancing AI capabilities [1][2]. Group 1: AI Efficiency and Resource Utilization - The company identifies two paths to accelerate reaching the AGI critical point: improving intelligence efficiency and expanding computational resources. This involves maximizing the conversion efficiency from computational resources to intelligence and discovering more usable computational resources [5][6]. - The value space for AI application deployment is defined as the product of scene scale, computational resources, and intelligence efficiency, aiming to achieve unlimited demand with limited resources [8]. Group 2: Core Products Overview - The three core products introduced are: 1. "Wuqiong AI Cloud" for large-scale computational networks (10,000 to 100,000 cards) 2. "Wujie Intelligent Computing Platform" for medium-scale clusters (100 to 1,000 cards) 3. "Wuyin Terminal Intelligence" for small-scale devices (1 to 10 cards) [10][19]. - The "Wuqiong AI Cloud" integrates heterogeneous computational resources across various regions, supporting real-time switching and seamless migration of resources, with a total computational capacity exceeding 25,000P [14][16]. Group 3: Applications and Collaborations - The "Wujie Intelligent Computing Platform" has successfully supported large-scale model training and inference tasks in over 100 major research scenarios, demonstrating its effectiveness in enhancing AI capabilities for educational and research institutions [19][20]. - Collaborations with local entities, such as Yunnan Mobile, showcase the platform's ability to create sustainable revenue streams while efficiently utilizing computational resources for large-scale commercial services [23][25]. Group 4: Intelligent Terminal Innovations - The "Wuyin Terminal Intelligence" aims to optimize computational power at the terminal level, integrating software and hardware to break physical resource limitations. The Infini-Megrez2.0 model achieves cloud-level performance while minimizing memory usage [29][31]. - The Infini-Mizar2.0 engine enhances inference speed and efficiency, allowing for larger models to be deployed on terminal devices, thus expanding the potential applications of AI in everyday scenarios [35][36]. Group 5: Future Vision and Initiatives - The company envisions a future where computational power flows as naturally as water and electricity into various industries and households, aiming to bridge the gap between computational capabilities and applications [42]. - The establishment of an AI terminal optimization platform in Shanghai is set to foster collaboration among industry partners, addressing common technological challenges and enhancing the overall development of the AI terminal industry [40][41].

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) held in Shanghai focused on humanoid robots, showcasing the complete industrial chain from core technologies to embodied intelligent products, indicating significant investment opportunities in this sector [1][4]. Group 1: Humanoid Robot Innovations - Numerous companies such as Magic Atom, Zhiyuan, Yuzhu, and Leju showcased their latest humanoid robots and technologies, including Zhiyuan's Expedition A2 and MagicBotZ1, which features high-performance joint modules and advanced movement capabilities [2][3]. - The exhibition highlighted the continuous iteration of humanoid robot technologies, with companies actively promoting industrialization [2]. Group 2: Core Component Technologies - The maturity of core component technologies, including reducers, screws, motors, sensors, and joint modules, is crucial for the mass production of robots. Companies like Hechuan Technology and Dase Intelligent presented their innovative solutions [3]. - The domestic supply chain is becoming increasingly complete, supported by advancements in manufacturing processes and cost reductions, facilitating the mass production of humanoid robots [3]. Group 3: AGI and Humanoid Robots - Humanoid robots are seen as ideal carriers for Artificial General Intelligence (AGI), combining hardware and scene interaction. Companies like Tesla leverage shared AI resources for their humanoid robots, creating a synergistic ecosystem [4]. - The exhibition featured significant advancements in computing power and large model progress from companies like Tencent, JD.com, SenseTime, and Huawei, highlighting the advantages of a comprehensive domestic hardware and software ecosystem [4].

Core Insights - The transition from the first half to the second half of AI development signifies a crucial moment for enterprises to leverage data for AI productivity [1] - The emergence of vertical domain AGI is expected to accelerate in the coming years, with 2025 being a pivotal year for the implementation of industry-specific models and enterprise-exclusive models [1] - The growth of enterprise-exclusive models is anticipated to experience explosive growth in 2025 [1]