AI 资讯、热点与每日观察

Donating Agent Skills to the Agentic AI Foundation News today from Anthropic: We’re committed to keeping Agent Skills open, community-driven, and vendor-neutral. Today, we are donating the standard to the Agentic AI Foundation (AAIF) under the Linux Foundation, which we co-founded with Block and OpenAI last year, and to which we donated the Model Context Protocol (MCP). I'm pleased to note I called this one last December, when Anthropic first declared skills to be an "open standard": I wouldn't be surprised to see this end up in the AAIF, recently the new home of the MCP specification. Fun side note: since my blog content is available to Claude via the datasette-mcp plugin I found that post by prompting Claude to "Use simonwillison.net MCP to find if I ever talked about how I want skills t

# 个人阅读原文事件进展与其他报道

01:45

AAWS Machine Learning Blog·资讯

Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI

Voice agents often wait for an agent's full response before starting speech synthesis, adding latency users feel directly. This post shows how to stream each sentence to a Kokoro-82M text-to-speech model on Amazon SageMaker AI as the agent produces it, and how to get that audio back to a browser over Server-Sent Events or a unified binary transport.

# 官方 # 教程阅读原文事件进展与其他报道

01:40

LLatent Space·资讯

Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO

Elastic GPUs, sandbox growth, and the economics of the agent cloud

# 个人阅读原文事件进展与其他报道

00:25

AAWS Machine Learning Blog·资讯

How Rescale built an AI triage agent with Strands Agents and AI-DLC

Rescale used the AI-Driven Development Lifecycle (AI-DLC) framework on AWS, with Strands Agents and Amazon Bedrock, to build an intelligent test-triage agent in weeks. Learn how AI-DLC structures AI-assisted development and how Rescale is scaling the practice across its engineering organization.

# 官方 # 教程阅读原文事件进展与其他报道

00:00

TTechCrunch · AI·资讯

Uber puts all 30,000 employees on ChatGPT Work

The ride-share giant previously deployed a much smaller pilot for ChatGPT Work but is now taking the enterprise agent company-wide.

# 媒体阅读原文事件进展与其他报道

2026-10-22

沿着时间，追踪变化

10-22

nn8n 官方博客·资讯

Hallucination Detection Methods for AI Agent Workflows

AI agent hallucinations are hard to catch because they usually look like normal answers. An agent can invent a fact, misread retrieved context, or contradict itself without signaling that anything went wrong. Once that output triggers another workflow step, the mistake can quickl

阅读原文事件进展与其他报道

10-22

nn8n 官方博客·资讯

Stateful vs. Stateless: Managing Context in AI Agent Builds

Stateful versus stateless design changes how systems scale and remember context. Learn when to use memory nodes, state stores, or both.

阅读原文事件进展与其他报道

07:36

AAWS Machine Learning Blog·资讯

5 production challenges in multi-agent systems and how Deep Insight solved them

Many teams build a multi-agent AI prototype in days but hit a wall in production. This post defines five production challenges (orchestration, per-agent model selection, reliable operation, secure code execution, and monitoring) and shows how Deep Insight, an open source multi-agent system on AWS, solves each.

# 官方 # 教程阅读原文事件进展与其他报道

2026-10-21

沿着时间，追踪变化