<?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>闭源 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E9%97%AD%E6%BA%90/</link><description>Recent content in 闭源 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 02 Jul 2026 10:23:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E9%97%AD%E6%BA%90/index.xml" rel="self" type="application/rss+xml"/><item><title>2026开源vs闭源：差距还在缩小吗</title><link>https://guijiagi.com/posts/ai-open-source-vs-closed-2026/</link><pubDate>Thu, 02 Jul 2026 10:23:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-open-source-vs-closed-2026/</guid><description>开源与闭源大模型的性能差距在2026年是否继续缩小？</description></item><item><title>AI开源vs闭源2026：谁在赢谁在输</title><link>https://guijiagi.com/posts/ai-open-vs-closed-2026/</link><pubDate>Tue, 30 Jun 2026 10:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-open-vs-closed-2026/</guid><description>2026年AI开源与闭源模型竞争格局深度分析：性能差距、商业生态与未来走向</description></item><item><title>开源vs闭源大模型：2026年到底谁赢了</title><link>https://guijiagi.com/posts/open-vs-closed-llm-2026/</link><pubDate>Tue, 30 Jun 2026 09:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/open-vs-closed-llm-2026/</guid><description>2026年中期，开源与闭源大模型的路线之争终于有了阶段性答案。从性能差距到生态建设，从成本对比到安全考量，全面解析这场AI世纪之争</description></item><item><title>开源 vs 闭源 2026 终局：谁赢了</title><link>https://guijiagi.com/posts/open-source-vs-closed-source-2026-who-won/</link><pubDate>Sun, 28 Jun 2026 10:13:00 +0800</pubDate><guid>https://guijiagi.com/posts/open-source-vs-closed-source-2026-who-won/</guid><description>2026 年开源与闭源大模型的终局对决：技术性能、商业模式、生态影响力全方位对比分析</description></item><item><title>开源 vs 闭源大模型：2026 终局之战</title><link>https://guijiagi.com/posts/open-source-vs-closed/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/open-source-vs-closed/</guid><description>2026 年开源与闭源大模型的全面对比，从性能追赶到生态之争，谁将赢得 AI 的未来</description></item><item><title>AI 开源 vs 闭源 2026：Llama/Qwen/DeepSeek 能追上 GPT-4 吗</title><link>https://guijiagi.com/posts/ai-open-source-vs-closed/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-open-source-vs-closed/</guid><description>开源模型全面追赶闭源：Llama 4/Qwen 3/DeepSeek V4与GPT-5/Claude 4的差距分析</description></item></channel></rss>