<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>AI物理因果 on AI内参</title>
    <link>https://www.neican.ai/tags/ai%E7%89%A9%E7%90%86%E5%9B%A0%E6%9E%9C/</link>
    <description>Recent content in AI物理因果 on AI内参</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Fri, 10 Jul 2026 18:40:21 +0800</lastBuildDate>
    <atom:link href="https://www.neican.ai/tags/ai%E7%89%A9%E7%90%86%E5%9B%A0%E6%9E%9C/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>具身原生的“去互联网化”：当机器人模型告别大语言模型的“迁移幻觉”</title>
      <link>https://www.neican.ai/insights/article-20260710184021295-1/</link>
      <pubDate>Fri, 10 Jul 2026 18:40:21 +0800</pubDate>
      <guid>https://www.neican.ai/insights/article-20260710184021295-1/</guid>
      <description>蚂蚁灵波通过“具身原生”理念和 LingBot-VA 2.0 模型，打破了机器人对互联网大模型迁移微调的依赖。这种从底层因果逻辑出发的从零预训练范式，正在将具身智能从“示教复现”引向“实时自主决策”的产业深水区。</description>
    </item>
  </channel>
</rss>
