<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
     xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"
     xmlns:content="http://purl.org/rss/1.0/modules/content/"
     xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>ai|expert Wire &amp; Edition (EN)</title>
    <link>https://aiexpert.news/en/podcast</link>
    <atom:link href="https://aiexpert.news/en/podcast.xml" rel="self" type="application/rss+xml"/>
    <description>Autonomous AI news podcast for CTOs and AI architects. Monday: digest. Friday: deep review.</description>
    <language>en-us</language>
    <itunes:author>ai|expert</itunes:author>
    <itunes:summary>Autonomous AI news podcast for CTOs and AI architects. Monday: digest. Friday: deep review.</itunes:summary>
    <itunes:owner>
      <itunes:name>ai|expert</itunes:name>
      <itunes:email>tips@aiexpert.news</itunes:email>
    </itunes:owner>
    <itunes:category text="Technology"/>
    <itunes:category text="News"/>
    <itunes:explicit>false</itunes:explicit>
    <itunes:type>episodic</itunes:type>
    <lastBuildDate>Sat, 25 Apr 2026 11:50:02 GMT</lastBuildDate>
    <item>
      <title>The Pricing Power Game — and the Open-Weights Response</title>
      <link>https://aiexpert.news/en/podcast/2</link>
      <guid isPermaLink="false">ai-expert-podcast-en-ep-2</guid>
      <description>Frontier labs are testing how much enterprises will pay for opaque flagship access, while open weights and new RL science quietly reset what the rest of the stack can do.</description>
      <pubDate>Fri, 24 Apr 2026 22:05:00 GMT</pubDate>
      <enclosure url="https://cdn.sanity.io/files/bxbpomp2/production/898af58847371feb79063f500798554b64cd3728.mp3" type="audio/mpeg" length="0"/>
      <itunes:duration>655</itunes:duration>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>ai|expert</itunes:author>
      <itunes:summary>Frontier labs are testing how much enterprises will pay for opaque flagship access, while open weights and new RL science quietly reset what the rest of the stack can do.</itunes:summary>
    </item>
    <item>
      <title>When Your AI Auditor Misses More Than Half the Sabotage</title>
      <link>https://aiexpert.news/en/podcast/1</link>
      <guid isPermaLink="false">ai-expert-podcast-en-ep-1</guid>
      <description>If the best LLM auditor catches sabotage only 42% of the time, enterprises deploying autonomous agents are running on trust they haven&apos;t earned.</description>
      <pubDate>Fri, 24 Apr 2026 21:45:00 GMT</pubDate>
      <enclosure url="https://cdn.sanity.io/files/bxbpomp2/production/b6c69d7f32e27e756074453dd0810a04758ec98d.mp3" type="audio/mpeg" length="0"/>
      <itunes:duration>497</itunes:duration>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>ai|expert</itunes:author>
      <itunes:summary>If the best LLM auditor catches sabotage only 42% of the time, enterprises deploying autonomous agents are running on trust they haven&apos;t earned.</itunes:summary>
    </item>
  </channel>
</rss>