<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>算法瓶颈 on AI内参</title>
    <link>https://www.neican.ai/tags/%E7%AE%97%E6%B3%95%E7%93%B6%E9%A2%88/</link>
    <description>Recent content in 算法瓶颈 on AI内参</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Fri, 12 Sep 2025 19:10:05 +0800</lastBuildDate>
    <atom:link href="https://www.neican.ai/tags/%E7%AE%97%E6%B3%95%E7%93%B6%E9%A2%88/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>从“文画巨匠”到“具身荒漠”：宇树王兴兴点破具身智能的真实挑战与未来破局</title>
      <link>https://www.neican.ai/insights/article-20250912191005341-2/</link>
      <pubDate>Fri, 12 Sep 2025 19:10:05 +0800</pubDate>
      <guid>https://www.neican.ai/insights/article-20250912191005341-2/</guid>
      <description>宇树科技创始人王兴兴指出，尽管生成式AI表现出色，但具身智能在实际物理任务中仍面临“荒漠”般的挑战。核心瓶颈在于高质量数据匮乏、多模态模型融合与控制对齐的不足，而非硬件限制。这一洞察预示着AI领域投资和创新将转向数据策略、算法突破及软件能力构建，以推动具身智能从概念走向规模化落地。</description>
    </item>
  </channel>
</rss>
