<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>技术对比 on 我的博客</title><link>https://hugo.ningop.com/tags/%E6%8A%80%E6%9C%AF%E5%AF%B9%E6%AF%94/</link><description>Recent content in 技术对比 on 我的博客</description><generator>Hugo</generator><language>zh</language><lastBuildDate>Fri, 12 Jun 2026 01:01:25 +0000</lastBuildDate><atom:link href="https://hugo.ningop.com/tags/%E6%8A%80%E6%9C%AF%E5%AF%B9%E6%AF%94/index.xml" rel="self" type="application/rss+xml"/><item><title>顶级AI模型更新周期与迭代速度全景对比</title><link>https://hugo.ningop.com/posts/2025-06-12-ai-model-update-cycle/</link><pubDate>Thu, 12 Jun 2025 12:00:00 +0800</pubDate><guid>https://hugo.ningop.com/posts/2025-06-12-ai-model-update-cycle/</guid><description>全面梳理 OpenAI、Google、Anthropic 等闭源巨头与 Llama、DeepSeek、Qwen 等开源阵营的模型发布节奏与能力迭代轨迹。</description></item></channel></rss>