腾讯今年以"让'好用的AI'成为普惠生产力"为核心主题，腾讯带来五大AI生产力平台：智能体开发平 台、具身智能开放平台Tairos、AIGC内容生成平台、端侧大模型平台、AI教育平台。其中多项技术应 用"首发"，腾讯元宝最新推出的视频通话功能在公开场合的"首秀"，能够实现更低延迟、更拟人化、更 有情感的视频和语音通话。无论是老年人还是视障人士，都能随时随地向元宝提问。同时，最新的腾讯 混元模型矩阵涵盖了文字、声音、图像、视频、3D等多种模态的生成与理解能力。混元3D AI创作引擎 是业界首个一站式、低门槛3D内容生产的AI创作工具，大幅提升3D内容创作效率。(36氪) ...

Core Insights - JD's 618 shopping festival in 2025 saw over 100% year-on-year growth in the number of users placing orders, with total orders exceeding 2.2 billion [2] - AI-related products experienced significant sales growth, with AI laptops up 151%, AI tablets up 149%, and AI learning hardware up 120% [2] - The use of AI models increased by 130% compared to the previous year's Double Eleven event, with over 14,000 AI agents operating internally [2][3] AI Applications and Developments - JD has been utilizing AI technology since 2012, evolving from traditional methods to advanced NLP and deep learning techniques, achieving over 90% accuracy in AI applications [5] - The company aims to serve over 50,000 brand merchants with AI digital humans by the end of 2025, focusing on making AI technology more accessible [3] - JD's AI applications span retail, logistics, health, and industrial sectors, enhancing operational efficiency and reducing costs [6][7] Performance Metrics - During the 618 event, JD's AI-driven operations improved conversion rates in live streaming by 30%, with AI digital humans costing only one-tenth of human hosts [11] - The AI customer service system handled over 2.5 billion inquiries during the event, showcasing the scale of AI integration in customer interactions [11] - JD's logistics operations utilized AI models over 1.3 billion times, benefiting more than 500,000 frontline logistics employees [11] Future Directions - JD is exploring "embodied intelligence" technologies, integrating AI models with various hardware to enhance user interaction [12] - The company is focused on developing AGI through three main directions: large language models, multimodal capabilities, and embodied intelligence [12] - JD's industrial AI model, JoyIndustrial, aims for significant cost reductions in supply chain management, achieving a 99.3% reduction in technical costs [11]