<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>大模型成本 on AI 早报</title><link>https://ai-news.example.com/tags/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%88%90%E6%9C%AC/</link><description>Recent content in 大模型成本 on AI 早报</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Mon, 03 Aug 2026 23:16:28 +0800</lastBuildDate><atom:link href="https://ai-news.example.com/tags/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%88%90%E6%9C%AC/feed.xml" rel="self" type="application/rss+xml"/><item><title>[EN] GPT-5.6：前沿智能与效率的融合之道</title><link>https://ai-news.example.com/articles/en-gpt-56/</link><pubDate>Mon, 03 Aug 2026 23:16:28 +0800</pubDate><guid>https://ai-news.example.com/articles/en-gpt-56/</guid><description>GPT-5.6在模型、推理及智能体工作流层面显著提升AI效率，以更低的成本实现更强的智能输出，重新定义了单位算力投入的智能回报率。</description></item></channel></rss>