Core Insights - The consumption platform "What Worth Buying" has reported a significant increase in consumer decision-making efficiency driven by AI, leading to growth in consumption during the "618" shopping festival [2] - The company launched multiple AI products, including the AI engine "Fire Eye" AIUC engine, user-facing AI products "What Worth Buying" GEN2, shopping agent "Zhang Dama," and the foundational AI infrastructure product "Haina" MCP Server [2] - The AIUC engine has enhanced product selling points, risk warnings, and purchase suggestions, with a 15-fold increase in AIUC label recognition and a reduction in content review time to one-eighth of last year's duration [2] Company Developments - The "Haina" MCP Server has gained industry attention for its integration of data and content advantages in the consumer sector, offering unique value in richness, real-time capabilities, and neutrality [3] - The "Haina" MCP Server has been made available to various partners, including large models and intelligent terminal applications, facilitating extensive adaptation for AI applications [3] - In June, the overall content and product output from the "Haina" MCP Server exceeded 8 million, marking a nearly 80% increase compared to May [3]

Core Insights - The company is enhancing its AI infrastructure with the "Haina" MCP Server, which has released two new interfaces and expanded capabilities [1] - The "What Worth Buying" GEN2 has shown significant improvements in user experience and consumer decision-making efficiency, leading to increased sales [2] Group 1: AI Infrastructure Development - The "Haina" MCP Server has introduced two major interfaces: Content Search Pro and Image Search capabilities, with the relevance of search results improving from 90% to 95% [1] - The Image Search API now supports 20 million product images across 16 major categories and 1,700 subcategories, facilitating more precise product searches for users [1] - In June, the overall content and product output from the "Haina" MCP Server exceeded 8 million, marking a nearly 80% increase compared to May [1] Group 2: Performance Metrics of GEN2 - The "What Worth Buying" GEN2 has enhanced product functionality and user experience, significantly improving consumer decision-making efficiency [2] - During the "6·18" shopping festival, the average GMV per user on the GEN2 platform increased by 15.1% year-on-year [2] - The order conversion rate achieved through the platform's AI shopping assistant rose by 162.6% year-on-year [2]

【环球网科技报道 记者 李文瑶】深夜十一点半，小林瘫在沙发上，手指在多个电商APP间疯狂切换。手机屏幕上 堆叠着"平台满减""跨店满减""会员专属券"等标签，他试图找出购买一双跑鞋的最优组合，在综合考量不同平台 的优惠政策和组合后，他最终选择结算金额最低的平台进行了下单。 而AI Agent正迅速填补这一空白。无论是独立APP如"张大妈AI购物管家"，还是内嵌于手机助手、智能座舱的购 物模块，Agent通过理解语义、调用实时数据，直接输出决策建议。当用户问"送程序员男友什么礼物"，AI瞬间调 取最新数码趋势、价格曲线、全网评测，生成一份带购买链接的礼品方案——整个过程或许直接在10秒内完成。 数据基建： AI 消费搜索的隐形战场 然而AI消费搜索的落地远非调用大模型这么简单。核心难点在于消费数据的特殊属性：强实时性与高事实性要 求。 小林的体验反映出当下消费者在大型促销活动中，需要处理来自多平台、多路径的海量优惠信息。 "今年618期间，各大电商平台加起来共有上百种优惠策略和组合。"值得买科技CTO王云峰在接受记者采访时透 露，从传统的满减、立减，到特定场景的直播间专享券、互动玩法的奖励，以及会员身份带来的专 ...

文 ｜ 阑夕 上个月月底，Veo 3的发布再次让海外社交媒体炸了锅，大量AI视频如病毒般迅速铺满了各大平台，这次受伤的不只有老面孔Ins，连TikTok也未能幸免。 这中间还不乏有反串乐子人的出现，国外有支独立乐队发了一段演奏视频称「百分百由Google Veo 3生成」，结果最后发现这段视频其实来自多年前乐队 的老歌，辨真伪游戏的难度飙升，莫说是不熟悉AI的人，恐怕连从业者想要分辨出视频来源都得费一番功夫。 包括与Veo 3同时期上线、号称「最聪明大模型」的Claude 4，在各种任务上都达到了SOTA（当前最佳）水平，只能说从视觉到能力，AI应用炸裂型驱动 的现状还远未到结束的时候。 与上述热闹的场面不同，国内互联网对炸裂这个词汇的敏感阈值在肉眼可见地下降，比如快手可灵的用量其实一直领先于Veo 3，但也不见得那些猎奇AI 视频在中国短视频平台上有多么强的病毒式传播，所有类似的内容也都被约定俗成般规范到了那一小片试验田里，不是没有，但也到不了草木皆兵的程 度。 与此同时，AI在垂类领域应用上的进程在持续加速，越来越多的消费级产品出现，这番技术迭代的光景，与移动互联网的发展规律几乎是如出一辙的， 也就是中国 ...

Core Insights - The company held an AI progress sharing conference to showcase the results and advancements of its "comprehensive AI strategy" over the past year [1] - Key highlights included the introduction of the "Fire Eye" AIUC engine, the upgraded "What Worth Buying" GEN2, the shopping assistant "Zhang Dama," and the foundational "Haina" MCP Server [1] Group 1 - The AIUC engine leverages extensive internet content understanding to drive a new paradigm of intelligent decision-making [1] - The "What Worth Buying" GEN2 is AI-driven and focuses on interest-based consumer content, aiming to create a trusted guide for users [1] - The AI shopping assistant "Zhang Dama" facilitates a one-stop management of the shopping process, enhancing user decision-making efficiency and consumer experience [1] Group 2 - The "Haina" MCP Server is a standardized consumer data service platform based on the Model Context Protocol (MCP), which connects large models directly to data sources [1] - The CTO highlighted that the MCP protocol enhances the efficiency of AI ecosystems by improving the connection between agents and tools, allowing for focused optimization in various domains [2] - The company has launched the Haina MCP Server on its official website and integrated it into platforms like Alibaba Cloud, utilizing a vast database of 12 billion consumer content entries and 1 billion product entries to support AI applications [2]

Core Insights - Worth Buying Technology Group has launched multiple AI products, including the "Fire Eye" AIUC engine, two user-facing AI products ("What is Worth Buying" GEN2 and shopping agent "Zhang Dama"), and an AI infrastructure product ("Haina" MCP Server) [2] - The AIUC engine is designed to deeply understand and extract value from various content types, enhancing content production and business decision-making efficiency [2] - The company emphasizes the importance of AIUC in the consumer sector, stating it has improved content quality and process efficiency across its diverse business operations [2][3] Group 1 - The "Fire Eye" product focuses on helping consumers discern the authenticity of content, filter quality information, summarize genuine opinions, and enhance decision-making efficiency in consumption [3] - Worth Buying Technology Group is committed to a comprehensive AI strategy, prioritizing AI application research to transform cutting-edge AI technology into practical productivity [3] - The company aims to explore more possibilities of "AI + consumption" and actively share and exchange AI capabilities to contribute to the AI era [3]

Core Insights - Worth Buying Technology has launched the MCP Server "Haina," a standardized consumer data service platform based on the Model Context Protocol (MCP) [1][5] - The MCP protocol connects large models directly to data sources, enhancing the efficiency of AI tools and promoting a mature AI ecosystem [1][5] - The company aims to establish the Haina MCP Server as a foundational infrastructure for the consumer sector in the AI era [6] Group 1 - Worth Buying Technology has been actively building its AI ecosystem since 2024, developing its own intelligent agents and providing core capabilities to partners [5] - The company has integrated its AI capabilities into the main products of numerous partners since April, leading to rapid growth in content and product output in May [5] - The Haina MCP Server has launched four core interfaces: content retrieval, product recommendations, product reviews, and discount information [5][6] Group 2 - The Haina MCP Server aims to enhance the efficiency and transparency of the entire consumer transaction process, benefiting brands and merchants by increasing traffic and revenue [6] - Worth Buying Technology plans to explore more communication formats for AI progress sharing, inviting industry guests for in-depth discussions [6] - The company is committed to improving the connection efficiency between B-end and C-end users, focusing on consumer content and driven by AI technology [6]