全部 AI 动态

Your Agent Aced the Task. Will It Do It Again?

Give every teammate and agent the right level of access to your Workers

You can now scope access to individual Workers and assign narrower Developer Platform roles, so teammates, CI tokens, and agents get only the access they need to debug, deploy, or monitor safely.

v2.1.272

What's changed Bug fixes and reliability improvements

v2.1.271

What's changed Added fast mode in Claude Code Remote sessions (cloud and self-hosted runners): the host's fast-mode setting or /fast typed in the session applies where your organization allows it Added mouse support to the /config panel in fullscreen mode: the wheel scrolls the settings list, a click on a setting's value changes it, and the row under the pointer is highlighted Added claude self-hosted-runner --drain-marker-file <path> : when that file exists at a SIGTERM drain, the runner reports its exit to the server as a host drain (telemetry only) Added per-command allowed_domains to Bash, PowerShell and Monitor in auto mode with sandboxi

How Fyxer built an AI executive assistant people trust

Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.

Perplexity trusts GPT-6 Astra with end-to-end systems

Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.

Scaling Agents in Healthcare & Life Sciences: Lessons from Madrigal Pharmaceuticals, Abridge, and Vizient

How we built LangChain's Paid Media Agent

Cognition helps Devin test its own work with GPT‑6 Astra

GPT‑6 Astra improves Devin’s ability to test software and show that it works, with the goal of helping engineers review less code and ship more.

From zero-shot forecast to purchase order with Amazon Bedrock AgentCore

Combine zero-shot forecasting with Amazon Chronos2 and multi-agent orchestration on Amazon Bedrock AgentCore to turn demand forecasts into validated purchase orders. No per-product model training, with business rules, auditability, and cost that scales to zero.

Arm的智能体时代答卷：从云到边缘，让计算平台无处不在

近日，以“赋能AI计算的未来”为主题的Arm Everywhere China年度大会盛大召开。在AI从生成式走向智能体的关键节点上，产业界对计算底座的关注度正在急剧升温。行业需要一个既能提供开发者所需一致性，又能赋能差异化创新的平台。Arm正在试图证明，它就是这样的平台。

GitHub Copilot app for Beginners: Using the diff, terminal, and browser

Checking agent-generated code usually means hopping between tabs. Learn how to view diffs, run terminal commands, and preview web apps side by side in the GitHub Copilot app. The post GitHub Copilot app for Beginners: Using the diff, terminal, and browser appeared first on The GitHub Blog .

The Economics of Agent Optimization: How AI agent governance controls cost and proves ROI

This blog post is the fourth and final installment of The Economics of Agent Optimization, which shares the strategies, capabilities, and proof points that can help you optimize agent costs and run AI as a managed investment system on Microsoft Foundry. The post The Economics of Agent Optimization: How AI agent governance controls cost and proves ROI appeared first on Microsoft Azure Blog .

Now everyone can put data to work

Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.

Introducing ChatGPT for Financial Services

Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials.

Rebuilding AUTOMATIC1111 with Gradio Workflow

How Credit Genie uses OpenWiki to keep codebase knowledge fresh, searchable, and automated

智能无处不在，Arm赋能AI计算的未来

日前，Arm 控股有限公司举办 Arm Everywhere China 年度大会，以“赋能 AI 计算的未来”为主题，吸引近 2000 名来自产业链上下游的行业领袖、开发者及生态伙伴报名参会，共同探讨智能体时代的计算创新与产业发展机遇。

Connections: Managed credentials and per-caller identity for Managed Deep Agents

Organizing Context in a Multi-Agent Harness

Building a Memory-Driven Agent with NVIDIA NemoClaw

Enterprise work spans messages, decisions, projects, and obligations that change over time. An AI agent that starts without this context must reconstruct it...

NVIDIA PAIR Virtual Inference Router Expands Available Compute on Your Local Network

AI agents are learning to do more by working together. A lead agent can break a complex task into smaller jobs and assign those jobs to specialized subagents....

Give Your Coding Agents a Memory You Own

Training a coding model to paint watercolours with TRL and OpenEnv

The Economics of Agent Optimization: Context engineering for enterprise AI agents

AI cost optimization goes beyond model selection. Discover how context engineering in Microsoft Foundry helps lower AI costs by improving knowledge retrieval, tool selection, memory, and agent performance at scale. The post The Economics of Agent Optimization: Context engineering for enterprise AI agents appeared first on Microsoft Azure Blog .

Introducing agentic video understanding with Gemini

Try Google Pics: Easy image creation and editing in Google Workspace

Collage of images created by Google Pics, with the text "Say hello to Google Pics" on top

MCP went stateless: Is your AWS MCP server deployment well-architected?

On July 28, 2026, MCP made its protocol core stateless, removing the initialize handshake and session header. This post maps the MCP 2026-07-28 specification to the AWS Well-Architected Agentic AI Lens, pillar by pillar, and shows why the stateless design lets you delete the sticky sessions and session stores your MCP servers needed on AWS.

3 new ways to plan and book travel in Search

Graphic depicting new travel features for AI Mode in Search

Closing the AI agent trust gap with graduated autonomy

Most teams give AI agents either full access or read-only, leaving value unused or risk unmanaged. This post describes graduated autonomy, an architectural pattern in which agents earn expanded permissions through sustained reliability and lose them when performance degrades, built on Amazon Bedrock AgentCore, Amazon DynamoDB, and AWS CodePipeline.