Core Viewpoint - Baidu is undergoing its most significant search overhaul in a decade, aiming to transform traditional search into a more integrated AI-driven experience, moving from merely retrieving information to delivering actionable results [2][10]. Group 1: Key Features of the Overhaul - The search box has been enlarged to accommodate over a thousand characters, allowing for file uploads and integration of AI writing and image generation capabilities [4][5]. - The search results page has evolved from providing links to directly fulfilling user needs, with the introduction of the "Bai Kan" feature that outputs structured content in various formats [4][8]. - Enhanced AI capabilities include multi-modal input options such as video calls, voice, images, and documents, along with improved multimedia output that adapts to user preferences [4][5]. Group 2: AI Ecosystem and Architecture - Baidu is focusing on building an open AI ecosystem, having launched a search open platform that includes over 18,000 quality MCPs to enhance user experience [5][11]. - The new search system is structured in three layers: a multi-modal model base, an MCP scheduling platform, and a user-facing "smart box" [6][10]. Group 3: Strategic Repositioning - The revamped search is positioned as an intelligent work platform rather than a traditional information retrieval tool, allowing users to interact using natural language and images [8][10]. - Baidu's "One Baidu" concept emphasizes the integration of various services and capabilities, aiming to create a unified platform that enhances user access to information and services [11][12]. Group 4: Commercialization and Future Directions - The shift from link-based results to content delivery is expected to impact traditional advertising models, prompting a re-evaluation of SEO strategies [15][17]. - Baidu is exploring new commercial models for AI search, including potential subscription services and intelligent enterprise search solutions [16][17].

从搜索框、搜索结果页到搜索生态全面革新。 本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 据 IPO早知道消息， 7月2日，在百度AI Day开放日上，百度搜索宣布进行十年来最大改版，从搜索 框、搜索结果页到搜索生态全面革新。 百度搜索框升级为「智能框」，支持超千字的文本输入，拍照、语音、视频等能力也全面加强，支持 直接调取 AI写作、AI作图等工具。 用 AI重塑搜索结果页的「 百看」功能升级，不仅支持图文、音 视频混合输出内容，还接入智能体、真人服务等能力。「 AI助手」加入视频通话，提升多模态输 入、富媒体输出、一站式工作台及深度搜索能力。智能创作能力升级，一句话即可生成三分钟创意视 频，支持分镜编辑，自定义画面内容。截至目前，百度搜索开放平台已接入1.8万+优质MCP，成为 国内最大的AI生态。 某种程度上而言，百度搜索的自我变革，一方面是在 通过一系列新产品、新功能的重构 来持续扩大 能力边界 ，另一方面则是在重新定义 "搜索的价值"。毕竟，未来的 AI 搜索不再是简单的广告模 式，取而代之的将是更加协同的商业价值与变现方式。 依托底层能力持续迭代进化 从通 ...

当流量成本持续攀升蚕食品牌利润，当算法推荐加剧内容同质化迷局，AI技术正在深刻重构品牌与消 费者的连接方式。在这个智能搜索主导决策入口、信息过载稀释品牌记忆点的时代，传统公关模式遭遇 前所未有的挑战。 2025年6月6日，智屿公关（Wisland PR）于浙江南浔举办闭门专项研讨会，针对目前客户面临的传播困 局，重磅打造新产品-品牌Ai SEO。研讨会当天，共计探讨百余个红黑榜经典品牌公关案例，随后发布 智屿最新公关工作流智能体应用。 公关创建品牌，广告维护品牌 "公关的唯一使命，是在公众心智中播种信任的种子。"智屿公关创始人陆悠在培训会开场指出。在她看 来，当前主流营销模式内容营销，其底层逻辑实为公关思维——通过价值/兴趣共鸣建立情感纽带，而 非简单粗暴的信息灌输。 对于初创企业，陆悠直言一个认知误区："许多企业将广告视为品牌建设的起点，实则公关才是奠基 者。"广告是直接的促销工具，以重复曝光达成"洗脑式"转化；公关则通过构建价值认同实现"呼唤 爱"的深层对话。 "品牌如果具备基础的舆情管理知识和意识，既不会在危机来临前视若无睹，也不会在危机到来前草木 皆兵。"她强调："危机具有'危险'与'机遇'的两面性这 ...

Group 1: Economic and Regulatory Updates - US Treasury Secretary Scott Bencet expressed hope for China to accelerate rare earth exports following an agreement between the two countries, noting that while rare earths have resumed circulation, quantities have not yet reached pre-April 4 levels [2] - The People's Bank of China announced that from August 1, 2025, cash transactions exceeding 100,000 yuan must be reported, requiring institutions to conduct due diligence and submit large transaction reports within five working days [3] Group 2: Corporate News - OpenAI issued an urgent announcement denying any association with "OpenAI tokens" and clarified that any transfer of OpenAI equity requires approval, which has not been granted [15] - Intel's new CEO, Pat Gelsinger, is reportedly planning a fundamental strategic shift in the company's chip foundry business, ceasing the promotion of its 18A process technology to external clients [17] - Microsoft announced a layoff of approximately 9,000 employees, affecting less than 4% of its global workforce, as part of ongoing organizational changes [18] - Google was ordered to pay over $314.6 million in damages for misusing Android phone users' data without consent [19] - Bilibili's former game cooperation department general manager was arrested for serious job-related crimes, highlighting the company's commitment to legal compliance [20][21] Group 3: Automotive Industry - Tesla reported a 14% year-over-year decline in vehicle deliveries for the second quarter, marking the second consecutive quarter of decline, although the figure exceeded some analysts' expectations, leading to a nearly 5% increase in stock price [24][25] - Neta Auto's associated company has had 2 billion yuan worth of equity frozen, indicating ongoing financial challenges [26] - Xiaopeng Motors' CEO, He Xiaopeng, stated that the next five years will be a critical period for the Chinese automotive industry, emphasizing the importance of high-performance chips in future vehicle capabilities [27]

Core Viewpoint - The article discusses Baidu's significant overhaul of its search business, marking the largest change in a decade, in response to the evolving landscape of information retrieval and competition from AI-driven search platforms [1]. Group 1: Changes in Search Functionality - Baidu's latest update features a larger "smart box" for search, allowing for over a thousand characters of input and file uploads, integrating AI writing and image generation capabilities [2]. - The new search engine aims to provide deeper task fulfillment, personalized results, and richer content forms, moving beyond traditional search to include functionalities like direct reservations and enhanced multimedia content [2][3]. Group 2: Market Competition and Strategy - Baidu faces competition from various AI search players, including Alibaba's Quark and others, as user behavior shifts towards content platforms like Douyin and Xiaohongshu [1]. - The company emphasizes a "comparative advantage strategy," focusing on excelling in essential user needs while maintaining an open ecosystem to build competitive barriers [4]. Group 3: Impact on Advertising and Monetization - The transition from providing links to delivering answers and content will significantly affect traditional advertising models, necessitating a balance between user experience and ad presentation [3]. - Current AI search commercialization lacks a mature path, with potential models including data-driven product recommendations and subscription services similar to Perplexity [3].

Core Insights - The article discusses the transformation of search engines, particularly focusing on Google's and Baidu's recent advancements in AI-driven search capabilities, marking a shift from traditional search methods to more interactive and intelligent systems [2][14][15] Group 1: AI Integration in Search - Google announced at its I/O conference that AI search can extend the length of queries to two to five times that of traditional searches, enabling complex data visualizations and enhanced user interactions [2][4] - Baidu introduced a new "smart box" for its search engine, which integrates various AI capabilities, including text input, voice, and video, enhancing user experience and interaction [5][6] - The upgraded Baidu search supports over a thousand characters of text input and includes features for AI writing and image generation, reflecting a significant evolution in search functionality [5][6] Group 2: Multi-modal Capabilities - Baidu's search results now include multi-modal outputs, termed "Bai Kan," which combines text, images, and videos to provide users with the most relevant information in an adaptable format [8][10] - The AI-generated camera feature allows users to search without text input, using images to understand user intent and deliver structured content, enhancing the search experience [8][9] Group 3: Market Position and User Engagement - Baidu's app has reached 724 million monthly active users as of Q1 2025, positioning it as a significant player in the AI application market [10][11] - The company has developed a robust ecosystem with over 18,000 MCP (Model-Cloud-Platform) services, enabling diverse applications across various sectors, including finance and e-commerce [12][13] Group 4: Competitive Landscape - The article highlights the competitive dynamics in the AI space, noting that while AI-native applications are growing, no app has yet achieved the status of a "super app" with over 100 million daily active users [10][11] - Both Google and Baidu are seen as leaders in integrating AI into their search functionalities, responding to evolving user needs and competitive pressures in the market [14][15]

Core Viewpoint - The phrase "forget about search" signifies that traditional search methods must evolve rather than dismissing their value, especially in the context of AI advancements [2]. Industry Changes - The launch of ChatGPT in 2022 raised alarms in the search industry, but significant changes did not occur immediately. It wasn't until July 2024 that OpenAI released SearchGPT, prompting Google to introduce AI Overviews in response. AI-native search platforms like Perplexity have reached a valuation of $14 billion, challenging traditional search logic [2]. - Users are increasingly turning to content platforms like Douyin and Xiaohongshu for information, moving away from traditional search engines. Baidu faces competition from new AI search players such as Alibaba's Quark, Mita, and 360 Nano Search [2]. Baidu's Search Redesign - Baidu's recent redesign features a larger "smart box" for searches, allowing for over a thousand characters and file uploads, integrating AI writing and image generation capabilities. However, these AI features are currently in a gradual testing phase [2]. - Baidu has accumulated over 100 million monthly active users, many of whom are accustomed to the old search format. The company recognizes that in the AI era, search must evolve from merely "finding" and "knowing" to "getting" and even "doing" [3]. AI Search Product Development - Current AI search products often only slightly modify traditional search methods. True AI search should deeply integrate AI models with search models, expanding search boundaries and enhancing task fulfillment, personalization, content diversity, and proactive creative support [3]. - For instance, when searching for a suitable café, the new engine may provide a comprehensive solution that includes navigation, rather than just a list of links. Additionally, AI features like photo restoration have moved beyond traditional search into the realm of content creation [3]. Commercialization of AI Search - There is currently no established path for the commercialization of AI search. Future models may involve data analysis to present products or services in a more user-friendly manner, balancing advertising with user experience. AI search could also offer intelligent enterprise search solutions and support for third-party developers [4]. - The shift from providing links to delivering answers and content will significantly impact traditional advertising models in search engines [3]. Baidu's Strategic Focus - Baidu aims to maintain a competitive edge by ensuring that essential user functions meet industry-leading standards, rather than trying to excel in all areas. The company plans to adopt an open ecosystem strategy, allowing quality third-party AI service providers access to its traffic [5].

Core Viewpoint - Baidu Search has undergone its largest revision in a decade, transforming its traditional search box into a smart box that supports over a thousand characters of text input and integrates AI writing and image generation tools, shifting from merely connecting information to solving problems [2][4]. Group 1: Product Features - The new smart box allows users to input long texts and upload files, significantly enhancing understanding capabilities and integrating AI writing and image generation functions [4]. - Users can now receive direct answers to complex queries, such as identifying a movie based on a vague description, showcasing the improved categorization and organization of search results [4]. - The upgraded AI assistant now includes video calling and supports multimodal input and multimedia output, allowing for the generation of videos from simple text prompts [4][5]. Group 2: Technological Integration - Baidu has integrated its self-developed video generation model, MuseSteamer, which supports the creation of high-quality videos from images, breaking traditional content generation processes [5]. - The MuseSteamer model family includes various versions, with the Turbo version already available for free public testing, while others will be released in August [5]. - Baidu's search platform has incorporated over 18,000 MCPs (Model Context Protocols), enhancing its ability to utilize large models effectively [4]. Group 3: Market Position and Strategy - Baidu's efforts in AI search are timely, as the company has been developing interactive search products since early 2023, indicating a proactive approach to market changes [5]. - The design and functionality of the new product reflect various considerations, including commercialization and business collaboration, highlighting Baidu's strategic focus in the competitive landscape [5].

Core Insights - The article discusses the evolution of browsers in the context of the AI era, highlighting the browser's transition from a mere search container to an AI-enabled operational partner [1][4][12] - The competition in the AI browser space is intensifying, with various players, including startups and established companies, vying for dominance [2][7][12] - AI browsers are expected to become a central part of a new operating system paradigm, leveraging cloud capabilities to create a flexible software and hardware ecosystem [5][28] Group 1: Evolution of Browsers - Browsers have evolved from basic web navigation tools to essential components of AI experiences, integrating search, decision-making, and execution [4][6] - The AI browser is seen as a potential operating system for the AI era, aiming to replace traditional desktop systems [5][28] - The historical significance of browsers is emphasized, with Marc Andreessen's assertion that browsers have profoundly impacted daily life remaining relevant today [7] Group 2: AI Browser Competition - The competition for AI browsers is characterized by a race for control over new entry points, with various companies developing AI-enabled features [12][14] - Different types of AI browsers are emerging, including native AI browsers, AI-like browsers, and traditional browsers enhanced with AI capabilities [9][10] - The competition is not just about information retrieval but also about automating workflows, with browsers acting as operators in this process [13][15] Group 3: User Experience and Functionality - AI browsers are designed to enhance user experience by allowing for complex tasks to be executed through natural language commands [4][6] - The article categorizes AI browsers based on their functionality, with some focusing on seamless browsing experiences while others emphasize task automation [9][10] - User engagement with AI browsers is increasing, as evidenced by the demand for access to products like Fellou and Dia, which require invitations to use [7][10] Group 4: Future of AI Browsers - The future of AI browsers is envisioned as a convergence of various applications and services, potentially leading to a new ecosystem that integrates AI capabilities [24][28] - The development of AI browsers may lead to the creation of dedicated hardware, similar to how Chromebook operates within the Google ecosystem [27][28] - The integration of third-party services and applications is expected to enhance the functionality of AI browsers, making them more versatile and powerful [23][24]

Core Viewpoint - The article discusses how AI is transforming the search experience, moving from traditional keyword-based searches to more complex, agent-driven interactions that can handle intricate queries and tasks [1][4][10]. Group 1: Evolution of AI Search - The evolution of AI search has progressed from early AI summaries to advanced deep research capabilities, expanding both the breadth and depth of search functionalities [2]. - The introduction of agent technology has elevated search capabilities, allowing for the resolution of complex problems, research tasks, and content creation needs [3][5]. - The "Nano AI Super Search Agent" is a new product that combines various AI capabilities to enhance search experiences beyond traditional methods [5][14]. Group 2: User Behavior and Search Needs - Traditional search engines often struggle with user queries exceeding 20 keywords, leading to poor answer quality; over 60% of user needs are now question-based due to the rise of large models [10][11]. - The average length of user queries has increased significantly, with some reaching thousands of words, indicating a shift in user behavior towards more complex inquiries [11]. - The majority of user needs in AI interactions remain focused on search, with a growing trend towards longer, more detailed questions [19]. Group 3: Technical Challenges and Solutions - The development of the "Super Search Agent" faces three main challenges: task decomposition, model scheduling, and ensuring high-quality output from diverse data sources [23][25][26]. - The architecture of the AI system is designed to allow for the stable execution of complex tasks, utilizing a combination of over 80 models to enhance reasoning and execution capabilities [27][28]. - The AI browser developed for the Nano AI system enables deep content retrieval from both domestic and international sources, overcoming limitations of traditional search engines [30][31]. Group 4: Practical Applications and Future Prospects - The AI system can generate complex outputs, such as investment reports or multimedia presentations, by integrating various AI tools and models [22][37]. - The ability to analyze large volumes of documents and generate tailored reports or presentations significantly reduces the time and cost associated with traditional methods [29][37]. - The future of AI search and agent technology suggests a trend towards more personalized and efficient user experiences, potentially transforming individual capabilities into "super individuals" [38].