Core Viewpoint - The China-ASEAN Artificial Intelligence Innovation Cooperation Center (referred to as "NAA Center") serves as a significant platform for showcasing technological cooperation achievements between China and ASEAN countries during the 22nd China-ASEAN Expo [1] Group 1: AI Cooperation and Applications - The NAA Center highlights the latest practical achievements in AI-enabled cooperation through three chapters: "Strategy and Cooperation," "Technology and Development," and "Industry and Applications" [1] - The center demonstrates China's breakthroughs in AI technologies across the entire chain, including chips, large models, and algorithms, as well as specific application cases in social governance, healthcare, agriculture, and transportation [1] - The cooperation advantages presented by the NAA Center are characterized by being "diverse, fast, good, and economical" [1] Group 2: Regional Significance and Future Development - Guangxi's unique position in facilitating China-ASEAN cooperation is emphasized, showcasing its resource allocation capabilities [1] - There is a noted need for the NAA Center to expand its language support beyond Chinese and English to include ASEAN languages, as current training primarily focuses on the former two [1] - The CEO of a Vietnamese AI IoT solutions company expressed that the NAA Center and the expo provide an important window for seeking Chinese technology partners [2]

AI领域高薪争夺年轻人的趋势也愈加明显。2025年1—7月，AI领域，平均月薪在5万元-8万元的新发应 届生岗位占比高达42.66%，8万元以上的超高薪岗位也达到了14.68%，相当于每7个AI应届生岗，就有1 个年薪百万。随着企业AI应用加速，非技术岗位数量也在迅速增加。2025年1—7月，AI领域新发非技 术类的岗位量相比2024年同期增长7.74倍，产品、运营与设计成为AI领域非技术岗位的三大热招方向。 新京报贝壳财经讯（记者程子姣）9月16日，脉脉最新发布的《2025年AI人才流动报告》显示，2025年 1—7月，AI领域人才市场供需两旺，AI新发岗位量同比增长超10倍，简历投递量也暴涨了11倍。"算 法"相关人才持续紧缺，其中"搜索算法"人才紧缺度最高，5岗争2人。非技术岗数量同比增长7.7倍。 上述报告显示，2025年7月，AI相关新发岗位数量同比增长超过10倍，简历投递量同比增长11倍。薪酬 也水涨船高，2025年1—7月，AI新发岗位平均月薪达到61475元，较2024年同期的58921元上涨4.33%。 不同规模企业的AI化进程显著加速，新发岗位AI渗透率明显提升。2025年1—7月，新经济 ...

Group 1 - The core viewpoint of the article is that Changshan Beiming (000158) is actively engaged in the AI computing power infrastructure, algorithms, and AI application services, and is not marginalized in the AI computing field [1] - The company has established a Huawei HarmonyOS development team, with all members having passed the senior certification for HarmonyOS application developers [1]

Group 1 - The company provides AI computing infrastructure, algorithms, and AI application services, indicating it is not marginalized in the AI computing field [1] - The company has established a Huawei HarmonyOS development team, with all members certified as advanced developers for HarmonyOS applications [1]

Core Insights - Recent initiatives by Meituan, Ele.me, and JD.com to disclose algorithms aim to enhance transparency and reduce information asymmetry in platform operations [1][2] - Despite these efforts, the complexity and ambiguity of algorithms still leave merchants with limited bargaining power, often resulting in unclear profitability and increased operational costs [1] - The purpose of algorithm disclosure should be to promote healthy industry development, rather than allowing companies to shift operational costs and evade social responsibilities [1] Summary by Sections Algorithm Transparency - Meituan has established an algorithm disclosure area, while Ele.me has engaged in discussions about algorithm transparency and thematic research [1] - JD.com has committed to creating a simple and transparent subsidy mechanism [1] Merchant Challenges - Many platforms have opaque fee structures and traffic mechanisms, leaving merchants in a passive position regarding cost analysis and business decisions [1] - Complex algorithms often transfer costs, such as shipping, that should be borne by the platforms onto merchants, further squeezing their profit margins [1] - Merchants face a dilemma: accept the rules and potentially increase revenue without profit, or refuse participation and risk a significant drop in orders [1] Call for Fairness - The industry must recognize that algorithm disclosure should lead to fair and reasonable rules, not serve as a shield for companies to pass on costs [1] - Platforms are urged to establish a more open and diverse governance mechanism to facilitate effective communication among merchants, delivery personnel, and consumers [1] - The ultimate goal is to create fair, reasonable, and empathetic algorithm rules that benefit all parties involved [1][2]

Group 1 - The core viewpoint of the articles emphasizes the importance of algorithm transparency and accountability in addressing the issues associated with the "black box" nature of algorithms [1][2][3] - The initiative by the Beijing Cyberspace Administration to require major platforms like Douyin, Baidu, and Meituan to disclose their algorithm rules is a significant step towards creating a transparent and fair algorithm governance system [1][2] - The social dangers of algorithm "black boxes" include the manipulation of user preferences, potential privacy violations, and the spread of harmful information, which can lead to a loss of diverse viewpoints and extreme emotional responses [1][2] Group 2 - Opening the "black box" of algorithms is essential for effective governance, as it allows for scrutiny and accountability, ensuring that algorithms are fair, reasonable, and secure [2][3] - The public disclosure of algorithms not only facilitates oversight but also encourages platforms to self-regulate and embed compliance requirements into their technical designs [2][3] - The move towards algorithm transparency represents an innovative regulatory model that enhances social, industry, and professional supervision, creating a multi-faceted governance structure involving government oversight, corporate self-discipline, and public monitoring [3] Group 3 - The significance of algorithm disclosure lies in its potential to prevent and reduce social risks associated with algorithm "black boxes," offering a more efficient and cost-effective governance approach [3] - Future efforts should focus on enhancing the depth, breadth, and comprehensibility of algorithm disclosures, along with establishing robust auditing and accountability mechanisms [3] - This initiative marks a meaningful practice of applying legal thinking and methods to digital governance, contributing to the development of a high-quality digital economy and a fairer digital future for users [3]

Core Viewpoint - The recent initiative by Beijing's Cyberspace Administration to require major online platforms like Douyin, Baidu, and Meituan to disclose their algorithm rules marks a significant step towards addressing the long-criticized "black box" nature of algorithms, aiming to create a transparent, fair, and accountable algorithm governance system [1][2]. Group 1: Social Implications of Algorithm "Black Box" - The "black box" of algorithms poses serious social risks, as it subtly shapes user preferences and limits exposure to diverse viewpoints, leading to a phenomenon known as the "information cocoon" [1]. - Users may suffer from unfair pricing strategies like "big data price discrimination," where personalized pricing can lead to higher costs for individuals [1]. - The "black box" can also exacerbate the spread of harmful information, such as online rumors and violence, as algorithms often prioritize sensational and emotional content to maximize user engagement [1]. Group 2: Importance of Algorithm Disclosure - Opening the "black box" is essential for governance, as platforms have previously used "technical confidentiality" as a shield against regulation and social oversight [2]. - Public disclosure of algorithms compels platforms to evaluate the fairness, reasonableness, and safety of their algorithms, embedding compliance requirements into their technical designs [2]. - Transparency is a prerequisite for accountability; without disclosure, regulatory bodies cannot effectively hold platforms accountable for discriminatory or unjust outcomes [2]. Group 3: Innovative Regulatory Model - Algorithm disclosure represents an innovative regulatory approach that allows for deeper regulatory engagement, addressing the challenges posed by rapidly evolving and complex algorithm technologies [3]. - This model facilitates early intervention to prevent and mitigate social risks associated with the "black box," offering a more cost-effective and efficient governance strategy [3]. - The initiative opens avenues for social, industry, and expert oversight, creating a multi-faceted governance framework that includes government regulation, corporate self-discipline, industry autonomy, and public supervision [3]. Group 4: Future Directions - While algorithm disclosure is a starting point, further efforts are needed to enhance the depth, breadth, and comprehensibility of disclosures, along with establishing auditing and accountability mechanisms [3]. - This initiative is a valuable practice in applying legal thinking and methods to digital governance, marking a solid step towards improving the digital governance system and supporting high-quality development of the digital economy [3].

Group 1 - The core viewpoint is that a bull market trend is being established, with expectations for the third quarter and the overall market in the second half of the year [1][2][3] - The sectors expected to sustain growth in the future are primarily concentrated in consumption, finance, and technology, with finance and technology already showing upward momentum [1][2] - The banking sector is attracting attention from investors seeking low valuations and high dividends, although there may be profit-taking once the market rises [1][2] Group 2 - The consumption sector has shown relatively poor performance this year, particularly due to slowing income growth and policy impacts, but there is potential for recovery in the third quarter [2] - The current market trend is shifting from a localized bull market to a broader advantage, with more sectors beginning to participate in the upward movement [2] - The bull market is expected to last for two to three years, indicating a long-term investment opportunity rather than a short-term trend [2]

炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 芯海科技，来自深圳，作为一家集感知、计算、控制、电源、连接及AI技术平台为一体的全信号链集成电路科技企业。公司从客户需求出发，提供芯片、算法、应用方案、AIoT等一站式解决方 芯海科技(688595.SH)于2020年在A股上市，目前市值约53.82亿元人民币。 版权声明：所有瑞恩资本Ryanben Capital的原创文章，转载须联系授权，并在文首/文末注明来源、作者、微信ID，否则瑞恩将向其追究法律责任。部分文章推送时未能与原作者或公众号平 更多香港IPO、美国IPO等境外IPO资讯可供搜索、查阅，敬请浏览: www.ryanbencapital.com 版 来自深圳南山区的A股上市公司芯海科技(688595.SH)为深化公司国际化战略布局，进一步提高公司综合竞争力，提升公司国际品牌形象，同时更好利用国际资本市场，多元化融资渠道，正在筹 截至目前，公司正与相关中介机构就本次发行H股并上市的相关工作进行商讨，关于本次发行 H 股并上市的细节尚未确定。本次发行 H 股并上市不会导致公司控股股东和实际控制人发生变化。 ...

Group 1 - The concept of new quality productivity is a significant theoretical achievement of Xi Jinping's economic thought, representing a major breakthrough in the understanding of Marxist productivity theory [1] - Developing new quality productivity requires the formation of new production relations that align with it, emphasizing the integration of technological and industrial innovation [1][2] - The income distribution system plays a crucial role in constructing new production relations, necessitating the optimization of various innovative factors based on their contribution to new quality productivity [2][3] Group 2 - The distribution of new quality productivity involves two processes: the distribution of production tools and the distribution among social members in various productions [3][4] - The first distribution process reflects market evaluations of productivity levels among different industries and enterprises, while the second distribution occurs internally within enterprises based on contributions [5][6] - The income distribution mechanism is essential for promoting new quality productivity, as it is based on market evaluations and contributions of various production factors [6] Group 3 - The development of new quality productivity requires an elevation in the quality of labor, materials, and objects, with a focus on innovation and the integration of advanced technologies [7][8][9] - Laborers must possess new knowledge and skills to adapt to technological advancements, making complex laborers crucial in the development of new quality productivity [7] - New labor materials, such as digital platforms and intelligent systems, are vital for enhancing productivity levels, reflecting the need for advanced technological integration [8] Group 4 - Data has emerged as a new type of production factor, significantly impacting traditional production methods and necessitating a robust income distribution structure for data [10][11] - The value of data is closely tied to its generation process and its application, with effective circulation enhancing its economic contribution [12] - Establishing a clear property rights system for data is essential to ensure its value is realized in the market, addressing issues of monopolization and information asymmetry [13]