Google AI Blog发布于 08/03 23:00
Inside our 353,000-person vibe coding course
（翻译）走进我们 35.3 万人的 vibe coding 课程
Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.
InfoQ 中文发布于 08/22 23:15
Cloudflare 推出 Agent Tracing：支持截断限制，不同框架的 Payload 默认记录策略存在差异
Cloudflare 推出了 Cloudflare Agents 的首个组件，Agent Tracing（Agent 追踪），可提供用于集中查看已经部署的 Agent 会话的统一 Dashboard。此次发布在现有 Workers Tracing 的基础上增加了 Agent 级别的 Span，同时也伴随着明确的收费时间表：Beta 期间免费，2026 年 10 月 1 日起将纳入 Workers Observability 的计费体系。
AWS Machine Learning Blog发布于 08/25 00:22
Agentic Resource Discovery (ARD): An open specification for agent discovery
（翻译）Agentic Resource Discovery (ARD)：用于代理发现的开放规范
AWS Agent Registry gives your organization a centralized, searchable catalog for agents, tools, and skills. It works with the open Agentic Resource Discovery (ARD) standard to enable cross-environment discovery and governance at scale.
Hugging Face Blog发布于 08/21 00:52
Up to 3.2x Faster Inference with LFM2.5-DSpark
（翻译）LFM2.5-DSpark 最高可将推理速度提升 3.2 倍
A Blog post by Liquid AI on Hugging Face
NVIDIA Technical Blog发布于 08/24 23:00
How NVIDIA Groq 3 LPX Unlocks Ultrafast Interactivity at Long Context on NVIDIA Vera Rubin
（翻译）NVIDIA Groq 3 LPX 如何在 NVIDIA Vera Rubin 上实现长上下文的超快交互
NVIDIA Groq 3 LPX is the interactive AI inference accelerator for the NVIDIA Vera Rubin platform. At the core of the platform is NVIDIA Vera Rubin NVL72…
金色财经发布于 08/25 17:24
马斯克坦承Grok落后 收购Cursor动机首度曝光
SpaceX以600亿美元完成对AI编程工具Cursor的收购，马斯克在全员会议上罕见承认旗下AI产品Grok在市场竞争中处于落后地位，并将此次收购定性为追赶竞争对手的战略举措。
Google DeepMind Blog发布于 07/01 00:02
Start building with Nano Banana 2 Lite and Gemini Omni Flash
（翻译）使用 Nano Banana 2 Lite 与 Gemini Omni Flash 开始构建
Scale your ideas with Nano Banana 2 Lite, our fastest, most cost-efficient Gemini Image model, and Gemini Omni Flash for high-quality video and conversational editing.
NVIDIA Technical Blog发布于 08/21 00:00
How Generative Recommenders Are Redefining RecSys at Scale
（翻译）生成式推荐器如何重新定义大规模推荐系统
Recommender systems (RecSys) are one of the most ubiquitous machine learning problems in the consumer internet industry yet notoriously difficult to train and…
NVIDIA Technical Blog发布于 08/20 06:22
Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents
（翻译）使用 CLI、技能和 AI 编码代理开发 NVIDIA Holoscan 应用
NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a…
NVIDIA Technical Blog发布于 08/20 00:00
Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator
（翻译）使用 NVIDIA SkillEvaluator 评估 AI Agent 技能表现
AI agents are only as effective as the context they receive. Even with capable models and well-documented NVIDIA libraries, agents can spend extra steps finding…
AWS Machine Learning Blog发布于 08/26 03:00
Agentic observability with Amazon OpenSearch Service MCP Apps
（翻译）使用 Amazon OpenSearch Service MCP Apps 实现智能体可观测性
Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally run MCP server lets your agent move from alert to trace to logs to root cause in one conversation, and how you can verify every step inline w
开源中国发布于 08/25 11:43
从 Memory 到 Skill：长周期 AI Agent 如何实现持续进化
历史记录能帮 Agent 想起过去，却不能保证它下一次真的会按正确方法做。MSCE 想补上的，正是“记得”和“会做”之间的这段空白。 01 Agent 能记住，不等于下次会做 Agent 已经不只是在对话框里给出一个答案，它们会进代码库找文件、打开浏览器查资料、调用工具继续往下做。但随着任务越拉越长，问题也跟着冒出来：隔几天...