时隔一年盛夏，中国AI大模型测评报告再度来袭。 7月10日，在2025贝壳财经年会主题论坛"建设'开源'之都：智AI未来，生态共澎湃"上，新京报AI研究院联合中国 经济传媒协会发布第二期《中国AI大模型测评报告——大模型赋能传媒行业使用与满足研究》（下称：报告）。 各年龄段使用大模型的人数比例均有所上升。其中，45岁以上受访者增幅最高，比去年增加41.98个百分点至 95.83%。在两次调查中，均为26岁至35岁的受访者最爱用大模型，今年这类人数比例达97.37%。 报告认为，大模型技术的传媒行业应用速度符合创新扩散理论，目前在S型曲线中正处于加速增长阶段。而26岁至 35岁且使用过大模型的受访者，可视为"创新者"或"早期采用者"，在这类从业者影响下，大模型传媒行业应用有望 进入加速扩散阶段。 大模型技术已高频率融入日常媒体工作。问卷调查显示，约半数受访者经常使用，低频率使用（即：很少使用、 完全不使用）的受访者仅占7.74%。 报告显示，与去年相比，在媒体工作中使用过大模型的受访者比例提升22.9个百分点至96.27%。此外，约半数受 访者经常使用，约八成受访者高度认同大模型提升了媒体工作效率。不过，遇到大 ...

7月10日下午，2025贝壳财经年会"智能网联汽车如何重构新生态"分论坛举办。中国汽研政研咨询中心副总工程师朱云尧带来《智能网联汽车产业格局与生 态演变》的主旨演讲，从技术变革、产业格局和生态前景三个方面进行解析。 朱云尧表示，中国汽车产业格局呈现四段式演进。2025年后是智能网联爆发期，新型生态快速发展，价值重心向软件、数据和运营服务转移，更多企业将淘 汰出局。2028年后，中国汽车有望占到全球45%的市场份额。此外，软件系统生态、能源系统生态和数字运营生态将相互关联、协同作用，推动汽车产业全 球化发展。 中国汽研政研咨询中心副总工程师朱云尧。活动现场图 预计2035年新能源汽车渗透率超80% 另外，他认为，数据驱动汽车全生命周期创新，自2022 年起汽车已迈入数据定义时代，算力和数据是未来智能驾驶竞争核心。 对于技术变革，朱云尧认为，其底层逻辑是汽车产业与能源、智能、互联三大革命紧密耦合。未来绿色能源体系、智能终端普及与万物互联，推动汽车从耗 能工具向储能载体、从机械载体向智能终端等多方面转变。汽车技术在机械结构层、能源供给层、电气架构层、操作系统层、软件应用层和云端数据层六个 层面提升。 L4级自动驾驶 ...

Core Insights - The future of large models and intelligent agents will focus on enhancing capabilities, scene migration, and convenient access, leading to a powerful single-agent and collaborative multi-agent ecosystem [4][8] - Global large models are evolving towards stronger capabilities, more modalities, and higher efficiency, with a significant improvement in intelligent emergence and cross-modal interaction abilities [5] - The application scenarios for large models will become more generalized, supported by distributed deployment, open-source collaboration, and the integration of models, computing power, and data [6] Group 1 - The integration of connectors will facilitate seamless interaction between models and intelligent agents, preventing "model islands" and "intelligent gaps" [7] - A collaborative model system is emerging, characterized by the synergy of "basic-specialized," "large-small," and "central-edge" models, marking a breakthrough year for intelligent agents [8] - Large model-driven innovations will create new opportunities in intelligent industries and significantly transform productivity across sectors, potentially triggering a new wave of AI industrialization [8]

Core Viewpoint - The development of an open-source ecosystem in artificial intelligence (AI) is crucial for enhancing China's AI industry, with open-source large models playing a significant role as AI becomes a global public good and enters a stage of inclusivity [1][3]. Group 1: Open Source Ecosystem Development - Beijing has the foundational capabilities to build an "open-source capital," hosting over half of the country's open-source startups across key areas such as foundational platforms, large models, and robotics [3]. - The city possesses the largest information software industry in the country, with a robust industrial chain that supports open-source development [3]. - Continuous improvement of top-level design encourages enterprises to actively participate in international open-source projects and supports the establishment of open-source organizations in Beijing [3]. Group 2: Recommendations for AI Open Source Ecosystem - It is recommended to strategically position in frontier areas such as intelligent agents and embodied intelligence to accelerate technological breakthroughs and ecosystem development [3]. - Creating a favorable open-source culture is essential, encouraging institutions to practice open-source principles in the AI field [3]. - Integration of inclusive computing resources and the establishment of a joint operation mechanism are necessary for the ecosystem [3]. - Strengthening communication and collaboration within existing AI open-source communities is vital to create a neutral and authoritative platform [3]. Group 3: AI Open Source Community - The AI open-source community has become a key component for the practical application of large models, exemplified by the Jingzhi community initiated by the China Academy of Information and Communications Technology [5]. - As of now, the Jingzhi community has over 2,800 open-source models covering areas such as computer vision, natural language processing, speech processing, and multimodal applications [5]. - The community has aggregated more than 380 datasets, including text, images, and audio-visual data, and provides over 500 petaflops of computing power from resources like NVIDIA, Huawei Ascend, and Baidu Kunlun [5].

Core Viewpoint - The automotive industry is undergoing a significant transformation driven by the rise of electric vehicles and smart driving technologies, prompting companies like FAW Toyota to adapt and innovate in response to market changes [1]. Group 1: Company Strategy and Transformation - FAW Toyota has relocated its sales company to Tianjin as part of its strategic shift towards becoming a "new force in joint ventures," demonstrating its commitment to adapting to complex market conditions [1][2]. - The relocation aims to create a market-oriented integrated ecosystem for research, production, and sales, enhancing operational efficiency and responsiveness to market demands [3][5]. - The new collaborative model allows for rapid feedback between sales and R&D, significantly improving the company's ability to respond to market changes and creating a competitive advantage [5][6]. Group 2: Innovation and Localization - FAW Toyota is implementing the RCE (Regional Chief Engineer) system to enhance localized R&D, allowing Chinese engineers to lead vehicle development based on local consumer needs [6][7]. - This approach contrasts with traditional global templates, enabling products to be designed with inherent "Chinese characteristics" from the outset [7]. Group 3: Market Performance - In the first half of 2025, FAW Toyota achieved a sales volume of 377,821 vehicles, a 16% increase year-on-year, with electric models accounting for 49% of sales [8]. - The launch of the bZ5, the first pure electric model developed by a Chinese team, marks a significant milestone in FAW Toyota's localization strategy and competitive positioning in the electric vehicle market [10]. - The upgraded Prado model has also performed well in the high-end market, reflecting the company's strategy of thorough testing before product launch [11]. Group 4: Customer-Centric Marketing - FAW Toyota has introduced innovative marketing strategies, such as the "car age appreciation subsidy," addressing consumer concerns about vehicle depreciation rather than relying solely on price promotions [11]. - The company’s focus on user-centered design and marketing has enhanced customer loyalty and provided a reference for industry-wide marketing innovation [11]. Group 5: Brand Trust and Recognition - With 22 years of experience, FAW Toyota has embedded high quality, reliability, and durability into its brand, achieving high customer satisfaction and recognition in the market [12]. - The company has been recognized for its high vehicle resale value, with models like the Avalon and Crown achieving significant three-year retention rates [14]. Group 6: Future Outlook - FAW Toyota is positioned to navigate the challenges of the evolving automotive landscape through its integrated approach and focus on electric and high-end vehicle development, potentially setting a new paradigm for joint ventures in China [14].

Core Viewpoint - The announcement of the early closure of the Southern CSI AAA Technology Innovation Corporate Bond ETF (referred to as "Tech Innovation Bond ETF Southern," code: 159700) marks a significant milestone in the capital market's support for technological innovation [1] Group 1: ETF Overview - The Tech Innovation Bond ETF Southern (159700) is one of the first approved ETFs that respond to the regulatory directive to "vigorously develop technology innovation bonds," providing a bridge for efficient allocation of technology financial assets for both institutional and individual investors [1][2] - The ETF features a T+0 trading mechanism, low fee structure, and diversified investment characteristics, which are expected to inject strong momentum into the deep integration of China's technology industry and capital markets [1] Group 2: Market Context and Strategic Importance - The technology finance sector has become a core focus for the implementation of national strategies, with the China Securities Regulatory Commission (CSRC) emphasizing the need to enhance support for technological innovation through a multi-tiered bond market [1][2] - The CSRC Chairman further highlighted the acceleration of the launch of technology innovation bond ETFs, providing a clear direction for market development [1] Group 3: Investment Characteristics - The underlying index of the Tech Innovation Bond ETF Southern consists of AAA-rated corporate bonds from technology innovation companies listed on the Shanghai and Shenzhen stock exchanges, with a total market value exceeding 1 trillion yuan, offering high liquidity and low credit risk [2] - The ETF's advantages include T+0 trading, low costs, diversified investment, and high transparency, making it a more effective tool for meeting investors' allocation and trading needs [2] Group 4: Future Prospects - Southern Fund, as a leading public fund institution, is committed to serving national strategies and actively responding to policy directives, aiming to fill the gap in the "technology finance" bond fund sector and promote high-quality development in technology finance [2] - The ETF is expected to provide a more transparent and efficient way for various professional institutions and individual clients to invest in on-market technology innovation bonds, indicating a broad development prospect [2]

Core Insights - The "2024 China Supermarket Top 100" report indicates that the total sales scale of the top 100 supermarket companies is approximately 900 billion yuan, reflecting a year-on-year growth of 0.3% [1][2] - The total number of stores has decreased to 25,200, representing a year-on-year decline of 9.8% [1][2] - Among the top 100 companies, 42 reported an increase in sales, while 25 saw an increase in the number of stores; 14 companies experienced growth in both sales and store numbers [1][2] Company Performance - Walmart (China) continues to lead the Top 100 with sales of 158.8 billion yuan [2] - Other top companies include: - C. P. Group (RT-Mart, Super RT-Mart, M Membership Store) - Hema (Hema Fresh) - Yonghui Superstores - Wumart [1] - Notable sales growth was observed in companies such as Costco, Chipotle Technology (Hotmaxx), Yao Di, and Aldi [2] Market Trends - Membership and discount stores continue to show significant growth in both sales and store numbers [2] - The overall number of stores in the Top 100 has decreased by 2,750, but sales have improved due to various corrective measures [2] - More than 60% of companies have improved their store performance, particularly those with sales between 3 billion and 10 billion yuan, which represent the highest proportion [2] - The share of online retail sales is increasing, with online sales accounting for 16.9% of total sales in 2024, highlighting the growing importance of front warehouses in boosting online sales [2]

Core Viewpoint - The introduction of a housing subsidy program in Wuxi's Binhu District aims to stimulate the real estate market by offering financial incentives to football players and fans attending matches, potentially enhancing housing consumption and market confidence [1][2][4]. Group 1: Policy Details - The policy, referred to as "Bin Ten Measures," provides a subsidy of 30,000 to 50,000 yuan for each new home purchased by participants of the Jiangsu Province City Football League and its spectators, effective until October 31, 2025 [1][2]. - As of July 9, 2023, 16 housing projects have joined the subsidy program, with 10 already participating in the initiative for football players and fans [4]. Group 2: Market Context - Wuxi's real estate market has been experiencing a downturn, with a 13.21% year-on-year decrease in transaction volume for the first half of 2025, despite a 15.03% increase in new supply [5]. - The average price of new homes in Wuxi is approximately 22,275 yuan per square meter, reflecting a 4.82% decline compared to the previous year [5]. Group 3: Economic Background - Wuxi's GDP for 2024 is projected to reach 1.63 trillion yuan, with a per capita GDP that has surpassed Shanghai for four consecutive years, ranking second nationally [5][7]. - The city is recognized for its strong industrial base, particularly in high-tech sectors such as integrated circuits and biomedicine, contributing to its economic resilience [7]. Group 4: Comparative Analysis - In terms of housing prices, Wuxi's average is lower than that of Nanjing (28,000 yuan/sqm) and Suzhou (26,000 yuan/sqm), making it relatively more affordable [8]. - Wuxi ranks 24th in the "2025 China Livable Cities Top 30" list, while Nanjing and Suzhou rank 9th and 14th respectively, indicating varying perceptions of livability among residents [8].

民警当着允女士面重新登录网店，发现该店铺已经注销，再联想到花8.8元购买的电扇，非但没有因为 质量问题获得应有的赔付，甚至短短几天内差点莫名"倒赔"出去15万元钱款，允女士终于醒悟过来自己 是真的遇到了骗子。她庆幸民警及时上门劝阻，这才免遭损失。 在近期工作中，嘉定警方发现了一种新型诈骗圈套，骗子通过故意网售劣质商品引发退换货，以扫码入 群进行退赔为由，诱导购物者实际进入"刷单返利""投资理财"等事先布置好的聊天群中，进而利用"高 返利""高回报"实施诈骗。 民警提醒，要通过正规网购平台下单购物，遇到商品质量问题后，通过平台官方渠道进行售后维权，切 勿轻信商家所谓"客服人员"的花言巧语，以免落入圈套中，退赔未成反"倒赔"。 新京报贝壳财经讯（记者俞金旻）网购商品质量有问题退货看似平常，却滋生"新骗局"。7月9日，上海 嘉定警方向新京报贝壳财经记者披露，在开展反诈劝阻过程中，遇到了一起新型网购骗局，允女士险些 退货不成"倒赔"十五万。 6月，嘉定警方接获线索称，允女士疑似在网络购物过程中遭遇骗局，民警赶到居民家中开展调查。见 到民警到来，允女士颇感意外，得知来意后更是感觉莫名。经过询问后民警了解到，允女士近期在 ...

Core Viewpoint - The article discusses the significance of employer liability insurance in supporting small and medium-sized enterprises (SMEs) in China, especially in the context of rising employment demands and new employment forms [1][6]. Group 1: Employer Liability Insurance Overview - Employer liability insurance is a type of property insurance that covers economic compensation responsibilities that employers must bear when employees suffer injuries or occupational diseases during work [1][7]. - It serves as a crucial risk transfer tool for employers, distinguishing itself from mandatory workers' compensation insurance and personal accident insurance [5][7]. Group 2: Legal and Industry Context - The Beijing Financial Court has identified that disputes related to employer liability insurance are characterized by diverse litigants, complex legal relationships, and significant differences in industry standards [6]. - Most disputes arise in labor-intensive industries, including manufacturing, service, special employment, and new business models [6]. Group 3: Recommendations for Employers and Insurers - Employers should ensure the authenticity of employment relationships, accurately report employee job information, carefully read insurance terms, and follow the "pay first, claim later" principle during claims [8]. - Insurers are encouraged to improve service quality by optimizing product design and standardizing clause interpretations to address the "easy to insure, hard to claim" issue [8][9]. Group 4: Implications for Employees - For employees, employer liability insurance provides an additional layer of protection, allowing them to claim directly from insurance companies if employers fail to fulfill their responsibilities [10]. - Employees are advised to preserve evidence and understand the company's insurance status in case of work-related injuries [10].