<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>局部最优 on AI内参</title>
    <link>https://www.neican.ai/tags/%E5%B1%80%E9%83%A8%E6%9C%80%E4%BC%98/</link>
    <description>Recent content in 局部最优 on AI内参</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Wed, 03 Dec 2025 16:40:04 +0800</lastBuildDate>
    <atom:link href="https://www.neican.ai/tags/%E5%B1%80%E9%83%A8%E6%9C%80%E4%BC%98/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>跳出Transformer“局部最优解”：Sakana AI的连续思维机器，重塑AI智能本源</title>
      <link>https://www.neican.ai/insights/transformersakana-aiai-20251203164004982-1/</link>
      <pubDate>Wed, 03 Dec 2025 16:40:04 +0800</pubDate>
      <guid>https://www.neican.ai/insights/transformersakana-aiai-20251203164004982-1/</guid>
      <description>Transformer架构共同发明人Llion Jones创立的Sakana AI，推出创新性的“连续思维机器”（CTM）架构，旨在挑战当前AI行业过度依赖Transformer模型进行规模化而陷入“局部最优解”的现状。CTM通过模拟生物神经元动态，引入内部思维序列、神经元级模型和同步化表征，实现更接近人类的自适应计算与深层推理能力，预示着AI架构可能从“蛮力拟合”转向对智能本源的深刻理解。</description>
    </item>
  </channel>
</rss>
