<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>连续语义建模 on AI内参</title>
    <link>https://www.neican.ai/tags/%E8%BF%9E%E7%BB%AD%E8%AF%AD%E4%B9%89%E5%BB%BA%E6%A8%A1/</link>
    <description>Recent content in 连续语义建模 on AI内参</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Mon, 25 May 2026 16:40:03 +0800</lastBuildDate>
    <atom:link href="https://www.neican.ai/tags/%E8%BF%9E%E7%BB%AD%E8%AF%AD%E4%B9%89%E5%BB%BA%E6%A8%A1/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>越过Token的囚笼：当“连续流”成为通往AGI的隐秘航道</title>
      <link>https://www.neican.ai/insights/tokenagi-20260525164003294-0/</link>
      <pubDate>Mon, 25 May 2026 16:40:03 +0800</pubDate>
      <guid>https://www.neican.ai/insights/tokenagi-20260525164003294-0/</guid>
      <description>本文剖析了从“Token离散范式”向“连续语义流建模”转型的技术本质，指出大模型目前的结构局限在于无法模拟真实的物理世界规律。随着ELF与Cola DLM等连续模型的出现，AI界正在重塑语义建模底座，这一趋势将彻底改变行业定价体系并加速通往具备自主认知能力的通用人工智能（AGI）。</description>
    </item>
  </channel>
</rss>
