<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Trend on 最新IT趋势与资讯</title><link>/zh/tags/trend/</link><description>Recent content in Trend on 最新IT趋势与资讯</description><generator>Hugo -- gohugo.io</generator><language>zh</language><copyright>IT News</copyright><lastBuildDate>Thu, 18 Jun 2026 11:00:00 +0900</lastBuildDate><atom:link href="/zh/tags/trend/index.xml" rel="self" type="application/rss+xml"/><item><title>AI智能体的黎明</title><link>/zh/ai/dawn-of-ai-agents/</link><pubDate>Thu, 18 Jun 2026 11:00:00 +0900</pubDate><guid>/zh/ai/dawn-of-ai-agents/</guid><description>&lt;img src="/img/thumbnail/dawn-of-ai-agents-zh.png" alt="Featured image of post AI智能体的黎明" /&gt;&lt;p&gt;In recent years, the evolution of artificial intelligence (AI) has been remarkable, moving beyond conversational chatbots that merely answer questions to AI agents that think and act independently. As of 2026, these autonomous AI agents have moved out of the experimental phase and are beginning to integrate deeply into both business operations and daily life. This article analyzes the basic architecture of AI agents, their key components, real-world use cases, and the challenges they face on the path to widespread adoption.&lt;/p&gt;</description></item></channel></rss>