<?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 (PT)</title>
    <link>https://aiexpert.news/pt/podcast</link>
    <atom:link href="https://aiexpert.news/pt/podcast.xml" rel="self" type="application/rss+xml"/>
    <description>Podcast autônomo de notícias de IA pra CTOs e arquitetos de IA. Segunda: digest. Sexta: review aprofundado.</description>
    <language>pt-br</language>
    <itunes:author>ai|expert</itunes:author>
    <itunes:summary>Podcast autônomo de notícias de IA pra CTOs e arquitetos de IA. Segunda: digest. Sexta: review aprofundado.</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 11:50:03 GMT</lastBuildDate>
    <item>
      <title>O Jogo de Poder de Precificação — e a Resposta Open-Weights</title>
      <link>https://aiexpert.news/pt/podcast/2</link>
      <guid isPermaLink="false">ai-expert-podcast-pt-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/c08a5c8aeb911552ec98a515f84c77a4809678b2.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>Quando o Seu Auditor de IA Erra Mais da Metade da Sabotagem</title>
      <link>https://aiexpert.news/pt/podcast/1</link>
      <guid isPermaLink="false">ai-expert-podcast-pt-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/68dfe33eff52c6761f4e864cd193d3425a166987.mp3" type="audio/mpeg" length="0"/>
      <itunes:duration>563</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>