专访观察者，当AI开始造谣，我们该如何为真相辩护？ 主持人： 最近，关于百度AI等大型语言模型"编造事实"、"虚构出处"的讨论甚嚣尘上。更有人担忧， 如果别有用心者恶意"投喂"垃圾信息来污染AI，用以打击商业对手或者生活情敌，我们该如何应对？今 天，我们邀请到长期关注科技伦理的资深评论员雅为科技杨乔雅女士，与我们共同探讨这一话题。杨 董，欢迎您。 杨董： 主持人好，各位观众好。 主持人： 杨董，我们首先面对一个核心问题：百度AI为什么会"造假"？这仅仅是技术不成熟吗？ 杨董： 这是一个很好的切入点。我们需要区分"技术缺陷"和"伦理失范"。从技术上讲，AI的"造假"被称 为"幻觉"。它不是一个知识库，而是一个基于海量数据概率预测的文本生成器。当它的训练数据本身有 问题，或者信息不足时，它为了完成"生成一段流畅答案"的指令，就会开始"编故事"。 但当一个拥有亿级用户的平台，其AI产品频繁出现事实性错误时，这就超越了技术范畴，成了一个公 共信任危机。它误导的不仅是普通查询，更可能扭曲公众认知，甚至干扰市场秩序。而比无意识的"造 假"更可怕的，是这种能力被有意识地武器化。 主持人： 面对如此严峻的挑战，您认为破局的关 ...

Core Insights - Baidu has completed a significant upgrade to its search engine, focusing on two product forms and leveraging AIGC (Artificial Intelligence Generated Content) for innovative applications [2] - The company announced enhancements to its Wenxin Assistant's AIGC capabilities, introduced an industry-first open real-time interactive digital human, and upgraded its video generation model, Baidu Steam Engine [2][3] - Baidu's search engine ranks first in the AI search industry in terms of user scale and comprehensive technical capabilities, according to recent data from Omdia and QuestMobile [2] Product Enhancements - The Wenxin Assistant can now generate long videos based on a short input, automating the entire process from plot design to soundtracks [3] - New features include "one-sentence song writing," MV production, and over 30 special effect templates, with plans to introduce a music digital human avatar [3] - The open real-time interactive digital human technology allows users to engage in 1v1 conversations with digital avatars of certified experts in various fields [3][4] User Engagement and Growth - The Baidu App's AI plugin has reached 329 million monthly active users, marking a 3.4% increase, leading the AI search sector [5] - Competitors like Douyin and WeChat's AI search have lower growth rates of 3.3% and 1.9%, respectively [5] - In the PC web application segment, Baidu AI Assistant ranks second among AI search engines, following DeepSeek [5]

Core Insights - The 2025 Beijing Cultural Forum emphasizes the integration of culture and technology, focusing on the development of micro-short dramas in the AI era [1] - The forum highlights the significant market growth of micro-short dramas, which have surpassed the entire Chinese film market, reaching a scale of 500 billion with a user penetration of 52% among internet users [4][5] - AI technology is seen as a transformative force in the creative process, enabling a new wave of content creation and empowering a broader range of creators [4][6] Current Status - The micro-short drama market has evolved from a blue ocean to a red ocean, with nearly 100,000 related companies and around 10,000 new registrations in 2024 [4][5] - The growth of micro-short dramas is attributed to the dual victory of content demand and technological empowerment, with AI facilitating precise recommendations and enhancing user engagement [5][6] - The market is transitioning towards quality content, with increasing regulatory support and diverse business models emerging [5][6] Future Trends - AI is expected to play a crucial role in the future of micro-short dramas, driving innovation and efficiency across the production chain [7][8] - The integration of AI tools is anticipated to democratize content creation, allowing anyone to participate in storytelling [7][8] - The potential for interactive short dramas is highlighted, merging gaming elements with narrative structures to enhance user experience [12][13] International Development - The international dissemination of Chinese micro-short dramas is deemed significant, with a focus on cultural promotion and global cooperation [10] - The forum discusses the importance of addressing global challenges and enhancing digital inclusivity through micro-short dramas [10] Industry Evolution - The micro-short drama industry is recognized as a vital new force in China's cultural sector, supported by robust technological foundations and a rich content ecosystem [13] - The future landscape is expected to be characterized by collaborative growth and diverse creative expressions within the industry [13]

Group 1 - The top 50 mobile app rankings feature significant representation from Chinese companies, with four apps in the top 10: Doubao (4th), Baidu AI Search (7th), DeepSeek (8th), and Meitu (9th) [1] - Meitu has five products listed in the global top 50 mobile apps, including Meitu (9th), Wink (17th), BeautyPlus (32nd), BeautyCam (34th), and Airbrush (49th) [2] - Observers note that the changes in the rankings reflect a stabilizing global AI ecosystem, indicating the end of a wild growth phase, with competitive products emerging in various specialized fields [2] Group 2 - Major companies such as Google, Meta, X, Alibaba, and ByteDance are accelerating competition in the AI space, while Chinese developers are demonstrating significant influence in the consumer AI sector [2]

Core Viewpoint - The report by QuestMobile highlights the contrasting performance of AI applications in the domestic market compared to overseas, with a significant decline in active users across mobile and PC platforms, indicating a need for innovation and adaptation in the industry [4][5]. Group 1: Market Overview - The domestic mobile app market is primarily dominant, while the PC market is struggling, with both experiencing a decline in active users [5]. - Active user numbers for mobile and PC AI products have decreased by 20 million and 30 million respectively, with native app growth completely stagnating [8]. - The total number of internet users in China is 1.1 billion, with a maximum of 180 million AI users on the PC side, indicating a lack of return on web-based product innovation [8]. Group 2: User Engagement and Trends - The report identifies a "four-tier" application structure in AI, with the first tier consisting of AI search engines and comprehensive assistants, achieving 685 million and 612 million monthly active users respectively by June 2025 [9]. - The second tier includes AI social interaction and professional consulting, with 126 million and 111 million monthly active users [9]. - The growth of application plugins reflects user demand for "contextual tools," with 630 million users in mobile app plugins, while native apps have 570 million users [10]. Group 3: Performance of AI Applications - The report indicates that 67.4% of native apps experienced negative growth in the first half of the year, highlighting a challenging environment for smaller applications [33]. - The average number of AI applications per app with AI integration is 2.1, confirming that plugin forms are currently the most effective path for AI implementation [25]. - In the AI search engine sector, DeepSeek has seen a significant user loss, with 56% of its lost users switching to Baidu, indicating a shift in user preference [50]. Group 4: Competitive Landscape - The report notes a dual oligopoly in the market, with a combination of "search + service" reshaping traffic entry points, leading to a focus on intelligent agent development [20]. - The top AI applications by user scale include Baidu AI with 29.4 million active users and Xiao Bu Assistant with 16.1 million [71]. - The report emphasizes the need for mobile manufacturers to enhance user engagement and reduce reliance on pre-installed applications, as many lack differentiation and struggle with user activity [56]. Group 5: Future Outlook - The future of AI applications will depend on breakthroughs in underlying model capabilities and cross-modal interaction, which are critical for the development of intelligent agents [66]. - Companies must either become the "only option" in users' minds or deeply embed themselves in essential workflows to remain competitive [68]. - The report suggests that the integration of AI into existing workflows will be crucial for retaining productivity advantages in the PC web application space [45].

Core Insights - The AI application market is rapidly evolving, with a significant increase in user engagement across various segments, leading to the formation of four distinct tiers of applications [1][12][19]. Group 1: Market Overview - As of June 2025, the first tier includes AI search engines and comprehensive assistants, with monthly active users (MAU) reaching 685 million and 612 million respectively [1]. - The second tier consists of AI social interaction and professional advisors, with MAUs of 126 million and 111 million [1]. - The third tier includes AI efficiency tools and image processing applications, with MAUs of 69 million and 49 million [1]. - The fourth tier encompasses AI creative design, copywriting, and educational applications, each around 20 million MAUs [1]. Group 2: User Engagement Trends - The "In-App AI" model has seen a user base of 630 million, while native apps have 570 million users, and PC web applications have 180 million users, indicating a shift towards mobile and integrated solutions [1][9]. - The growth of application plugins reflects users' preference for seamless AI experiences, with notable usage rates for Baidu AI and Quark AI search at 9.6% and 56.0% respectively [2][19]. Group 3: Competitive Landscape - The market is witnessing a dual oligopoly, where the combination of "search + service" is reshaping traffic entry points, leading to service integration and the development of intelligent agents [12][24]. - The majority of PC web players are facing decline, with 80% of them having user counts below 500,000 and 68.8% experiencing negative growth [2][31]. Group 4: Application Performance - Among software service providers, the photography and beautification sector is rapidly adopting AI plugins, driven by the "aesthetic economy" [14]. - As of June 2025, the average app with AI integration has 2.1 AI applications, with photography apps averaging 5.5 AI features [15][27]. Group 5: Future Outlook - The integration of AI into mobile applications is expected to enhance user engagement, with a focus on system-level integration capabilities [9][49]. - The competition will hinge on becoming the "only option" in users' minds or embedding deeply into essential workflows, with model iteration speed and ecosystem integration being critical factors for success [56].

Core Insights - The article emphasizes the rapid growth of AI applications in the mobile internet sector, highlighting the resilience of the internet industry and the importance of finding new scenarios and technology applications to meet user demands [2][3]. Group 1: AI Application Market Overview - As of June 2025, the AI application market has developed into four tiers, with the first tier consisting of AI search engines and comprehensive assistants, boasting monthly active users (MAU) of 685 million and 612 million respectively [3]. - The second tier includes AI social interaction and professional advisors, with MAUs of 126 million and 111 million [3]. - The third tier comprises AI efficiency tools and image processing applications, with MAUs of 69 million and 49 million [3]. - The fourth tier includes applications like AI creative design and educational tools, each around 20 million MAUs [3]. Group 2: User Engagement and Application Types - The growth of "In-App AI" reflects users' preference for scenario-based tools, with 630 million users engaging with mobile app plugins, while native apps saw a decline of 20 million users [4][10]. - The report indicates that 74.5% of plugin applications maintained positive growth, although there is significant structural differentiation in growth rates across different scales [30][32]. Group 3: Competitive Landscape and Trends - The AI search and comprehensive assistant sectors are experiencing a dual oligopoly, with a notable shift towards service integration and practical solutions [13][39]. - The report highlights that 67.4% of native apps experienced negative growth in the first half of the year, indicating a challenging environment for smaller applications [27]. - The article notes that the average app with AI integration has 2.1 AI applications, confirming that plugin forms are currently the most effective path for AI deployment [17]. Group 4: Key Players and Performance Metrics - Major players in the AI application market include Baidu AI, which leads the search engine segment with 29.4 million MAUs, and Tencent's AI applications, which have shown significant growth rates [22][63]. - The report identifies that the average growth rate for Tencent's Yuanbao app was 55.2%, indicating strong user engagement [29][66]. - The performance of AI applications is closely tied to their ability to integrate deeply into user workflows, with companies needing to enhance their AI capabilities to remain competitive [61][47]. Group 5: Future Outlook and Strategic Recommendations - The future of AI applications will depend on the ability to either become the "only option" in users' minds or to embed deeply into essential workflows [61][61]. - Companies are encouraged to focus on enhancing model capabilities and cross-modal interaction to drive future growth in the AI sector [58][61].