7月26日，以"智能时代 同球共济"为主题的2025世界人工智能大会在上海开幕。本次大会共有800多家 企业参展，集中展示3000多项人工智能产品、60多款智能机器人。参展的深圳"科技军团"中，有华为、 腾讯、荣耀等头部科技企业，还有异军突起的深圳具身智能企业。 这次大会犹如中国人工智能产业的"演兵场"，前沿技术和最新产品纷纷登台亮相，展现了中国在人工智 能领域的强劲实力与创新活力，也折射出人工智能产业的发展风向，其显著特点是人工智能产业的商业 化应用正在加速。 产业风向也是推动人工智能产业发展风向。眼下人工智能产业市场化正迎来"先发优势期"，绝不容错 过。对深圳而言，提供场景应用是深圳发展人工智能产业的"加速器"，今后，深圳在提供场景上不仅要 更广泛，还要更具体更深入，把需求做细做实。另一方面，深圳当更大力度地推动深圳的人工智能产品 走向市场，比如通过办展推广、给予公共服务订单等方法，帮助企业顺利走上市场化道路、抢得发展先 机，从而巩固和提升深圳已有的产业优势。 如果把大模型比作操作系统，那么智能体则相当于应用程序。智能体越来越多，意味着大模型商用价值 越来越高，且二者相互促进形成产业闭环。 表现之二，具身 ...

Group 1 - As of July 29, 2025, Xunxing Co., Ltd. shares closed at 9.63 yuan, down 0.93% from the previous trading day [1] - The trading volume on that day was 110,368 hands, with a transaction amount of 105 million yuan [1] - Xunxing Co., Ltd. is primarily engaged in the research, production, and sales of zippers and textile accessories, with products widely used in clothing, bags, and footwear [1] Group 2 - The company holds a significant influence in the domestic zipper industry, particularly in the Fujian region [1] - In a recent statement on the investor interaction platform, the company clarified that it has not yet engaged in cooperation with Shanghai Jiyue Xingchen regarding smart technology [1] - On July 29, the net inflow of main funds into Xunxing Co., Ltd. was 2.2192 million yuan, accounting for 0.06% of the circulating market value [1]

Group 1 - The report titled "Coexistence Partners: Top 10 Trends in Artificial Intelligence for 2025" outlines significant trends in AI development, emphasizing the transition from "intelligent tools" to "coexistence partners" [1][7][26] - The three main themes identified are the evolution of foundational models, the rise of intelligent agents, and AI's integration into the physical world [1][7][21] Group 2 - The first trend highlights the breakthrough in reinforcement learning (RL), which is becoming a key force in enhancing the reasoning and action capabilities of large models, enabling them to solve complex scientific and engineering problems [2][36][39] - The second trend focuses on native multimodal generation, which allows AI to deeply integrate various data types such as images, speech, and text, facilitating seamless interaction across modalities [2][49][50] - The third trend discusses the evolution of voice models towards emotional intelligence, enabling AI to express context-aware emotional responses and enhancing human-machine interaction [2][3][48] Group 3 - The rise of intelligent agents is characterized by two main development paths: orchestration agents for complex task automation and end-to-end agents that internalize reasoning and planning capabilities [3][4][18] - The concept of LifeOS is emerging, where AI integrates user data to become a personalized digital self, enhancing user experience through long-term memory and personalized reasoning [3][4][19] - The trend of "intelligence as a service" is reshaping industry workflows, embedding AI deeply into sectors like healthcare, finance, and manufacturing [3][4][26] Group 4 - The report anticipates a "GPT-2 moment" for embodied intelligence in 2025, marking a significant leap from virtual computation to physical execution, with advancements in multimodal models and data engineering [4][6][21] - Spatial intelligence is evolving, allowing AI to process and understand three-dimensional environments, which opens new opportunities in fields like autonomous driving and robotics [4][20][21] - The commercialization of embodied intelligent robots is expected to accelerate, with companies like Tesla and Agility planning to produce around 1,000 units each for various applications [6][21][29] Group 5 - The overall trends indicate a shift towards AI becoming a true coexistence partner, with enhanced capabilities in reasoning, emotional understanding, and physical interaction, fundamentally changing human-AI relationships [7][21][26] - The report emphasizes the importance of building trust and collaboration with the next generation of AI, as it becomes more autonomous and capable [7][21][26]

Core Viewpoint - Li Auto officially launched its first pure electric SUV, the Li Auto i8, with a retail price range of 321,800 to 369,800 yuan, set to begin deliveries on August 20 [1] Group 1: Product Features - The Li Auto i8 is equipped with a ternary lithium 5C supercharging battery, offering two battery versions of 90.1 kWh and 97.8 kWh, with CLTC ranges of 670 km and 720 km respectively, achieving a charging speed that adds 500 km of range in just 10 minutes [1] - The vehicle features a yacht-style design with a drag coefficient of 0.218, enhancing energy efficiency and reducing wind noise [2] - It includes a dual-motor all-wheel drive system with a maximum power of 400 kW and peak torque of 660 Nm, enabling a 0-100 km/h acceleration in 4.5 seconds [2] Group 2: Safety and Technology - The Li Auto i8 comes standard with 9 airbags and the longest side curtain airbags in its class, along with laser radar and enhanced active safety capabilities [2] - The vehicle incorporates an upgraded advanced driver assistance system (VLA architecture) that evolves through reinforcement learning, adapting to user driving behavior and preferences [3] - The intelligent assistant has evolved into a "smart entity," capable of performing complex tasks and understanding user memory [3] Group 3: Market Positioning and Options - The Li Auto i8 offers three versions: Pro, Max, and Ultra, priced at 321,800 yuan, 349,800 yuan, and 369,800 yuan respectively [3] - It provides five exterior color options and three interior color choices, along with standard 20-inch low-drag wheels and optional 21-inch wheels [3]

科技投资迎布局热 在WAIC现场，汇聚了800多家企业，涵盖40余款大模型、50余款AI终端产品、超过60款智能机器人以及80余款"全球首发"或"中国首秀"的重磅新品，规模创 历届之最。据国泰基金介绍，参展商及展品涵盖模型应用、智能体、具身智能和人形机器人、智能硬件、AI+AR眼镜、AI芯片、智算与AI基础设施等热门 行业。 中欧中证机器人指数基金经理宋巍巍也在会期前往了WAIC现场，并分享了他对于年内投资机构对人形机器人投资取向的观察。他认为，目前的投资机构集 中投资机器人行业的上游零部件厂商，这些厂商有四个特点，一是零部件有技术难度和技术壁垒，二是和机器人整机大厂有密切的合作，三是公司本身的业 务具备持续赚钱的能力，四是起始估值和市值较低。 对于市场投资方向为何集中在机器人上游产业链，宋巍巍进一步提到，有两点原因。首先，之前机器人行业还在"0—1"的阶段，也就是供给侧的逻辑更重 要。市场关注能不能做出来，而不是做出来多少，零部件厂商是最先拿到确定性营业收入的公司，机器人行业带来的增量会给这些公司带来较大的业务变 化。其次，之前A股一直没有已经上市的机器人整机公司，缺乏投资的渠道，所以资金只能集中在上游。 ...

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) held in Shanghai showcased over 800 companies and more than 3,000 cutting-edge exhibits, marking the largest scale in its history [1] - The focus of discussions shifted towards embodied intelligence, intelligent agents, and AI hardware terminals, indicating a more practical approach to AI applications [1] - The founder of Infinite Light Years, Qi Yuan, emphasized that the AI industry is transitioning from a phase of technological worship to a focus on value creation, with credibility being a central theme in this transformation [1] Industry Trends - The emergence of vertical large models is seen as a new phase in AI development, with companies now focusing on intelligent agents and specific industry applications [3][4] - Differentiated product value is crucial for vertical large models, as they must effectively address user pain points to stand out in the market [4] - The importance of Product Market Fit (PMF) is highlighted, suggesting that companies need to deeply understand industry-specific challenges to succeed [5] Trustworthy AI - The concept of trustworthy AI is gaining traction, with a need for models to transition from being merely usable to being reliable and effective in real-world applications [6][7] - The development of trustworthy AI involves a three-tiered approach: enhancing retrieval-augmented generation (RAG), implementing reinforcement learning with well-defined reward functions, and integrating knowledge with rules for open-domain problems [6] - AI companies must not only possess technical expertise but also understand the specific language, rules, and pain points of the industries they serve [7]

"大模型发展至今不过两三年时间，技术成熟度直接决定了诸多应用场景的落地效果。在此过程中，不 少机构仍持观望态度，对于一般性场景及通用功能，会先尝试通过AI进行试验性应用；但涉及核心业 务的关键场景，则需要保持谨慎态度，这与技术发展的客观规律及成熟度密切相关。"7月29日，蚂蚁数 科金融AI产品总经理曹刚对本报记者表示。 破解"AI可用性"难题 扎克伯格曾说，未来AI智能体的数量可能会比人类还多。 在2025世界人工智能大会现场，《华夏时报》记者走访了交通银行、蚂蚁集团等展商展位，发现不少机 构带来了智能体的最新应用，覆盖银行、保险、信托等金融场景。 当前，AI在金融业应用已进入深水区，正从客服、办公逐渐进入风控、财富管理等核心业务场景。 在AI应用上，汇付天下推出支付行业首个智能体，可生成定制化支付方案，为商户、开发者提供支付 全生命周期的售前顾问和技术支持；星环科技展区设置了"10分钟打造AI产业问答智能体"实战课程区。 不少观众在工程师指导下，亲自动手构建一个面向金融等特定行业的专属问答智能体；另有无问芯穹推 出三大核心产品，面向未来智能基础设施的软硬协同系统；华鲲振宇则带来金融等领域的超20个行业智 能 ...

Group 1 - The core viewpoint of the discussion revolves around the evolution of AI technology from being merely usable to being highly effective, emphasizing the need for suitable application scenarios and the potential future developments in AI [1][3] - The rapid changes in the AI field reflect both the industry's vitality and the numerous possibilities yet to be explored, as highlighted by Tencent's Vice President Yang Jian during the forum [3][5] - AI tools like Tencent's Yuanbao and AI Gao Kao Tong are becoming trends in education, providing suggestions for college admissions, indicating a shift in the educational landscape towards knowledge construction rather than mere transmission [5][7] Group 2 - The discussion highlighted the importance of finding suitable "AI entry points" for the general public, with a focus on the differences between "AI native" and "AI + existing applications" in various scenarios [7][8] - The debate on open-source versus closed-source models in AI development is crucial, with open-source seen as a pathway to democratizing AI while closed-source models are necessary for commercial sustainability [8][9] - The concept of Agent intelligence is gaining traction, with the need for integration with databases and knowledge bases to create effective AI applications that can perform tasks autonomously [13][14] Group 3 - The future of embodied intelligence in AI is discussed, emphasizing the need for a combination of physical and cognitive capabilities to make AI ubiquitous across various industries [15][17] - The development of specialized large models tailored to specific industries, such as agriculture, is seen as essential for the practical application of embodied intelligence [15][19] - The panelists agree that the definition of "usable AI" in the next five years will focus on reducing hallucinations in AI outputs by enhancing industry knowledge bases and ensuring user-friendly experiences [19]

Core Viewpoint - The 2025 World Artificial Intelligence Conference (WAIC) showcased advancements in AI and fintech from leading brokerages, highlighting the rapid evolution and application of AI technologies across various sectors [1][2]. Group 1: AI Development Trends - AI large models are evolving towards being more powerful, efficient, and reliable, with a significant increase in reasoning model depth and an explosion of intelligent agent models expected by 2025 [4][6]. - The report emphasizes that 2025 will be a pivotal year for AI application acceleration, with a much faster penetration rate compared to the internet era, particularly in B-end applications [4][6]. - The AI industry is witnessing a shift towards a comprehensive understanding of the AI vertical industry chain, from foundational computing infrastructure to application scenarios [6][8]. Group 2: Investment Opportunities - The AI agent economy is emerging as a key investment opportunity, with the market for AI applications expected to grow significantly, driven by the increasing interaction speed between AI agents [10][12]. - The global data center market for AI chips is projected to reach $178.2 billion by 2024, indicating a 77% year-on-year growth, highlighting the shift in market dynamics towards AI hardware [11][12]. - The report from Zhongjin Company discusses the dual scale effects of AI development, suggesting that China can leverage its talent and market potential to overcome computational limitations [14]. Group 3: Company Innovations - Zhongxin Securities introduced the first AI algorithm and market value management platform, CapitAI-Link, aimed at enhancing internal employee efficiency through AI digital employees [16][18]. - The AI digital employees at Zhongxin Securities are designed to improve collaboration in financial services, covering various roles from travel assistance to wealth management [17][18]. - Huatai Securities focused on the practical applications of AI agents, emphasizing the need for investment in AI technologies that can operate continuously and interact more rapidly than humans [9][10].

Core Insights - The 2025 China Internet Conference focused on the transformation of internet technology and its application in driving high-quality development, featuring over 30 thematic activities aimed at integrating internet technology with the real economy [1] - Waterdrop Inc. showcased its AI-driven insurance applications at the conference, emphasizing the creation of a diversified health protection ecosystem and efficiency improvements [1] Group 1: AI Innovations - Waterdrop's AI Agent has advanced capabilities in multi-modal interactions, significantly enhancing efficiency in sales support services, capable of handling consultations for various insurance types with a maximum single voice interaction duration of 50 minutes and an average response time of around 2 seconds [2] - The AI Agent can provide clear and logical responses to user inquiries about insurance terms and claims, moving beyond rote answers to logical reasoning, thus improving user engagement and satisfaction [4] Group 2: Cost Efficiency and Quality Control - Waterdrop's AI quality inspection solution achieves 100% coverage across all scenarios, including voice and chat records, while reducing quality inspection costs by over 50% compared to manual processes [5] - The introduction of the AI customer service agent "Bao Xiaohui" is expected to reduce question transfer rates by 50% and improve service efficiency by 50%, providing timely responses 24/7 [4][5] Group 3: Financial Performance and Strategic Direction - Waterdrop invests nearly 300 million yuan annually in technology research and development, holding over 100 technology patents, and anticipates a nearly 120% growth in net profit attributable to the parent company in 2024 [5] - The company is committed to an "All in AI" strategy for 2025, aiming for a new growth trajectory through the integration of AI across all business operations [5]