会上，中国移动发布"AI+"生态联盟，将以"资源共享、能力共建、价值共赢"为导向，共同树立AI生态 协同新范式。在应用普及方面，中国移动开放战略性高价值场景，与合作伙伴共同拓展解决方案超千 个，以"灵犀"为牵引，推动智能终端、智能网联汽车、智能机器人等信息消费"新三样"出货量突破千 万，携手生态共同促进AI能力与产品出海，贡献"中国方案"。在能力升级方面，中国移动联合合作伙伴 积极构建国内一流的云智算能力及服务共建行业高质量数据集、数据治理与流通工具链，以MoMA引擎 为牵引，广泛汇聚专业模型与智能体，协同构建AI安全治理与风控体系。 （编辑 张昕） 该计划还强调，着力推动其自身及经济社会各行业领域广泛深度融智，开放百大战略性高价值场景，实 现研发设计、网络运营、营销服务、经营管理等全场景智能应用，自智网络实现L3向L4级跃迁；加速 灵犀智能体用户规模突破2亿，打造全场景智能服务入口；落地超3000个AI+DICT项目，推动AI在新型 工业化、政务、农业等10余个行业领域深度赋能，助力打造覆盖亿级用户的智慧城市服务；推动AI优 质能力出海，帮助"全球南方"国家共享科技红利，弥合智能鸿沟。 此次全面升级的"AI ...

AI Industry Trends - ByteDance has open-sourced its AI Agent "Coze," which supports commercial use and has over 6,000 stars on GitHub, providing a platform for developing intelligent agents without coding[14] - The "Step 3" model by Jieyue features 321 billion total parameters and 38 billion activated parameters, achieving a 300% inference efficiency compared to DeepSeek-R1, with expected revenue of nearly $1 billion in 2025[11] - Ant Group released the financial reasoning model "Agentar-Fin-R1," which outperforms similar models in multiple financial evaluations and is based on a comprehensive financial dataset[16] AI Applications and Platforms - SenseTime launched the "Wuneng" embodied intelligence platform, featuring a multimodal reasoning model that improves cross-modal reasoning accuracy by 5 times compared to Gemini 2.5 Pro[8] - Huawei introduced the AI-Box platform, designed for lightweight edge deployment, supporting local execution of multimodal large models with low power consumption[9] - Tencent's Tairos platform offers modular services for multimodal perception and planning, focusing on enhancing robotic software capabilities[10] AI Model Developments - Zhiyuan released the GLM-4.5 model, which integrates reasoning, programming, and agent capabilities, achieving top performance in global open-source model benchmarks[17] - JD Cloud announced the open-source enterprise-level intelligent agent "JoyAgent," which supports multi-agent collaboration and has been tested in over 20,000 internal applications[18] - ByteDance and Nanjing University developed the CriticLean framework, improving the accuracy of mathematical formalization from 38% to 84%[19] Market Risks - AI software sales are below expectations, leading to adjustments in capital expenditure plans and slower iteration speeds for core AI products[34]