智能体生态观察
智能体生态动态速递
追踪 AI 智能体（Agent）生态的模型发布、框架开源、行业落地与安全治理动态。
智能体时代的移动计算，Arm 通过一场大会给出自己的答案
9 月 8 日，Arm 在上海举办年度旗舰活动 Arm Everywhere China，并在会上发布了第二代移动终端计算子系统 CSS for Mobile 2。 这是一个面向智能体 AI 与 AI 原生图形的计算平台，集成了 Arm C…
Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement
When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect? Towards …
GPT-6 爆火 3D 案例被扒出「用了现成素材」，这次我们真做了一个
GPT-6 + Hyper3D MCP 最强3D创作搭档 #欢迎关注爱范儿官方微信公众号：爱范儿（微信号：ifanr），更多精彩内容第一时间为您奉上。 ]
Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video
Manufacturing floors, warehouses and production lines rarely stay fixed — tasks change, layouts shift and new products a…
OpenAI Agents API 开放公测：支持代码执行、工具调用和跨上下文任务运行，为开发者提供云端智能体基础设施
IT之家 9 月 11 日消息，OpenAI 于当地时间 9 月 10 日宣布推出 Agents API 公测版，允许开发者通过 API 调用由 OpenAI 管理的云端 AI 智能体运行环境。 该服务复用了 Codex 背后的智能体执行框…
Breaking the Vision-Action Shortcut: Latent Interface Training for Generalizable Robotics Foundation Models
Robot foundation models achieve strong in-distribution performance but often degrade under visual distribution shifts. W…
ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, …
Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures
The increasing deployment of AI agents in long-horizon tasks yields massive execution logs. Diagnosing failures within t…
商汤科技 AI 办公智能体“小浣熊”移动端 App 上线，提供苹果 iOS / 安卓版本
IT之家 9 月 11 日消息，商汤科技宣布 AI 办公智能体“小浣熊”移动端 App 正式上线，提供苹果 iOS 和安卓版本，用户提交 App 反馈问卷，可获 1000 积分。 官方表示，移动端“小浣熊”支持使用自然语音快速对话操作，用户…
Agent as Policy for Robotic Manipulation
We demonstrate that a general-purpose agent can directly drive a physical robot throughout task execution without any ta…
这个新开源的世界模型只有1.3B，单卡就能实时跑！
轻量版LingBot-World 2.0]
The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
Recursive self-improvement (RSI) enables AI systems to turn experience and feedback into persistent changes that improve…
高通全球副总裁夏权：个人 AI 时代，每个人都拥有自己的智能体
IT之家 9 月 10 日消息，据新浪科技今日消息，高通公司全球副总裁夏权在 2026 服贸会表示，随着 AI 能力不断提升，人机交互正在发生新的变化。 过去人类需要依靠应用完成工作 ， 未来人们将越来越多地与智能体协同工作 。 夏权指出，…
COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization
Large language model (LLM) agents can benefit from reusable skills distilled from prior task experience, yet existing sk…
DRG-MAPPO: Hierarchical Dynamic Role-Graph Multi-Agent Reinforcement Learning for Cooperative Air Combat
Multi-Agent Reinforcement Learning (MARL) has emerged as a pivotal paradigm for complex decision-making in autonomous sy…
Pelican-Sim 1.0: A General World Model Simulator for Embodied Intelligence
In this technical report, we propose Pelican-Sim 1.0, a general world model simulator for embodied intelligence that pre…
Memory as Plans: World-Action Modeling with Memory-Grounded Planning
Mainstream robotic policies often adopt a Markovian formulation, but many complex real-world manipulation tasks are inhe…
T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks
Agent usage is shifting toward long-horizon tasks such as coding and scientific discovery, among which terminal tasks ar…
全球首个3D原生城市世界模型ABot-Earth 0.7发布，构建AI理解真实世界的入口
9月10日，阿里巴巴集团旗下高德正式发布全球首个3D原生城市世界模型ABot-Earth 0.7。]
大模型能力提升路线图：从"堆参数"到训练全栈 + 外层程序
把 2026 年可核查的公开证据整理成一张六层能力路线图——预训练、后训练 RL、推理时计算、上下文与记忆、智能体与 Harness、世界模型。含 Meta ScaleRL 40 万 GPU 小时实验结论、RL 预算占比 10%–30% 口径、Chinchilla 对比、Meta-Harness 6x 差距等数据锚点，并给出优先级表与算法工程师/产品经理的行动建议。