Core Viewpoint - The 11th ASEAN Plus Three Media Cooperation Seminar emphasizes the theme of "Connectivity and Win-Win Cooperation," highlighting the importance of media collaboration among Asian countries to foster mutual understanding and development [2][3]. Group 1: Media Cooperation and Role - The seminar featured 13 representatives from mainstream media across different countries, discussing topics such as "Creating New Momentum and Sharing New Opportunities" [2]. - Media plays a crucial role as a bridge in promoting mutual understanding among ASEAN and Plus Three countries, contributing significantly to regional stability and development [3]. - Xinhua News Agency, as a key player, has established a multi-language dissemination matrix and has over 1 billion followers across various social media platforms, enhancing its influence in the region [3]. Group 2: Enhancing Media Narratives and Technology - There is a need to improve narrative quality by presenting authentic, multi-dimensional stories that showcase the development achievements of Asian countries, aiming to break the dominance of Western narratives [4]. - Embracing technological advancements, particularly in generative artificial intelligence, is essential for media to adapt and innovate, while also participating in the establishment of governance standards for AI [4]. Group 3: Strengthening Dialogue and Cultural Exchange - The importance of media dialogue and exchange is emphasized, with initiatives like the Global South Media Think Tank Forum bringing together representatives from numerous countries to foster cultural understanding [4]. - The seminar serves as a platform to enhance human connections and showcase the vibrant practice of cultural exchange, contributing to the construction of a community with a shared future [5].

Core Viewpoint - The article discusses the issue of "black public relations" affecting several automotive companies, including Xiaomi, Xiaopeng, NIO, and Deep Blue, highlighting the use of AI-generated defamatory content and the ongoing legal actions taken against such practices [3]. Group 1: Black Public Relations Issue - Several automotive companies have been targeted by similar smear tactics, including AI-generated rumors and negative comments aimed at car owners [3]. - The legal department of the companies has collected evidence from hundreds of accounts and initiated dozens of lawsuits, with multiple cases currently under investigation [3]. Group 2: Regulatory Actions - A joint action by six government departments has been launched to combat black public relations and online manipulation, requiring internet platforms to enhance their identification and control of AI-generated content and malicious actors [3]. - The initiative aims to create a cleaner and more transparent environment for the development of the automotive industry in China [3].

Core Viewpoint - The article discusses the issue of "black public relations" targeting various car companies, highlighting the legal actions taken by Xiaomi against malicious online activities [1][2]. Group 1: Legal Actions - Xiaomi's legal department has collected evidence from hundreds of accounts this year and has initiated dozens of lawsuits, which are currently awaiting court hearings [1][2][4]. - Multiple cases reported to the authorities are also under investigation [2][4]. Group 2: Industry Context - The report from CCTV Finance revealed that several car companies, including Xiaomi, Xiaopeng, NIO, and Deep Blue, have been targeted by similar smear tactics, including AI-generated false content and derogatory comments against car owners [2][4]. - A joint action by six departments aims to combat black public relations and online manipulation, requiring internet platforms to enhance their identification and control of malicious actors using generative AI technology [2][4].

Core Insights - The integration of AI in the steel industry is seen as a crucial step towards achieving high-end, intelligent, and green development, as emphasized by industry leaders [1][2]. Group 1: Digital Transformation Initiatives - The China Iron and Steel Association has prioritized digital transformation as one of the three major projects in the industry, launching a three-year action plan for digital transformation [1]. - The association has released guidelines for the construction of intelligent manufacturing standards and digital transformation projects in the steel industry [1]. Group 2: AI Applications and Innovations - AI applications in the steel industry have shown promising results in optimizing production processes, quality control, and supply chain management [1]. - The "human-machine hybrid intelligence" model proposed by Northeast University aims to address the "black box" nature of steel production, enabling high-fidelity online predictions throughout the entire process [2]. Group 3: Environmental Sustainability - The development of AI in the steel sector is expected to promote green and sustainable practices, contributing to energy conservation and environmental protection [1]. - The establishment of a cross-enterprise and cross-industry AI ecosystem is anticipated to enhance collaboration among steel companies, upstream and downstream enterprises, research institutions, and technology service providers [1]. Group 4: Technical Advancements - The shift from experience-driven to intelligent decision-making in ironmaking is highlighted as a key trend, with mixed intelligence empowering the process [3]. - A new intelligent steelmaking system has been developed that combines knowledge-driven and data-driven approaches to address traditional challenges in steel production [3].

新华社北京8月11日电 题：3到15天速成万粉号——AI造假起号乱象调查 新华社"新华视点"记者陈一帆、周思宇 外国人熟练演唱中文歌曲、银发奶奶传授养生秘诀、氛围感女孩分享穿搭美学……社交媒体上，一些 AI生成的视频关注度颇高，"细节满满"让很多网友信以为真。"新华视点"记者调查发现，不少社交账号 利用AI技术造假、博眼球快速"吸粉"起号，进而变现。 近期，多个平台对"AI起号"现象开展专项治理行动，清理违规内容并封禁部分账号。 AI造假起号成新套路 广西市民王夏经常刷到这样的视频："帅哥""美女"高频率更新日常生活，并在评论区与网友频繁互动。 由于熟悉AI软件，王夏很快发现这些视频的主角是AI数字人，"但视频没有任何AI生成提示字样，好几 个账号显示来自同一家MCN公司"。 当前，生成式人工智能技术日益普及，不少内容创作者通过AI创作出更具想象力的作品。但也有一些 人利用AI造假，无底线博眼球，作为起号变现捷径。 记者在某社交平台上发现，部分账号将目标锁定中老年女性群体，利用AI打造"完美熟龄女性形象"，搭 配"40+、50+长这样，怎么样"等话术，进行"年龄焦虑"营销。 此类账号发布的穿搭、保养、护肤、养 ...

Core Viewpoint - The article discusses the rise of "AI prediction" products marketed to students and parents during exam preparation, questioning their reliability and effectiveness in improving exam performance [1][6]. Group 1: Market Dynamics - Various businesses are promoting "AI prediction" and "AI score improvement" products, claiming accuracy rates exceeding 80% for exam predictions, with prices often around hundreds of yuan for study materials [1][2]. - The products are primarily targeted at anxious students and parents, with many customers purchasing these materials in hopes of better exam performance [1][2]. Group 2: Product Claims and Limitations - One seller claims their AI model predicts exam content with over 75 points coverage based on historical exam data, but the actual content is often broad and aligns with standard curriculum topics [2][3]. - Experts argue that AI-generated predictions fail to grasp the complexities of exam questions, which require higher-order thinking and contextual understanding that AI cannot replicate [3][4]. Group 3: Regulatory and Ethical Concerns - The marketing strategies employed by these businesses are criticized as misleading, with claims of high accuracy rates being deemed as false advertising under relevant laws [6][7]. - There are calls for regulatory bodies to address exaggerated claims and fraudulent practices in the "AI prediction" market, emphasizing the need for transparency and accountability in AI educational products [7].

Company Performance - Company achieved operating revenue of 9.249 billion, a year-on-year increase of 27.69% [2] - Net profit attributable to shareholders reached 533 million, up 151.78% year-on-year [2] - Net profit excluding non-recurring gains and losses was 394 million, a significant increase of 736.77% year-on-year [2] Product Segmentation - Display driver chips (DDIC) remained the primary revenue source, accounting for 67.50% of main business income [2] - Image sensor chips (CIS) increased their share to 17.26%, becoming the second-largest product [2] Research and Development - Company invested 1.284 billion in R&D, a 21.41% increase year-on-year, representing 13.88% of operating revenue [2] - Achievements in R&D include mass production of 55nm mid-to-high-end BSI and stacked CIS chips, small batch production of 40nm high-voltage OLED display driver chips, and successful functionality verification of 28nm logic chips [3] Industry Outlook - According to WSTS, the global semiconductor market is projected to reach 628 billion in 2024, a 19.1% increase from 2023 [3] - Anticipated growth in the semiconductor market is supported by emerging fields such as AI, electric vehicles, smart manufacturing, and the Internet of Things [3] Shareholder Returns - Company plans to distribute a cash dividend of 1.00 per 10 shares, totaling 194 million (including tax) [4] - Dividend distribution is expected to signal operational stability and strong profitability, enhancing investor confidence [5]