<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/stylesheet.xsl" type="text/xsl"?>
<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:podcast="https://podcastindex.org/namespace/1.0">
  <channel>
    <atom:link rel="self" type="application/atom+xml" href="https://feeds.transistor.fm/learn-about-ai" title="MP3 Audio"/>
    <atom:link rel="hub" href="https://pubsubhubbub.appspot.com/"/>
    <podcast:podping usesPodping="true"/>
    <title>Learn About AI</title>
    <generator>Transistor (https://transistor.fm)</generator>
    <itunes:new-feed-url>https://feeds.transistor.fm/learn-about-ai</itunes:new-feed-url>
    <description>A show where we explore AI concepts like MCP</description>
    <copyright>© 2025 Simtheory</copyright>
    <podcast:guid>e202bb91-abf0-5cbd-91ca-02586abb9feb</podcast:guid>
    <podcast:locked owner="michael.sharkey@gmail.com">no</podcast:locked>
    <language>en</language>
    <pubDate>Sun, 24 Aug 2025 19:09:16 -0700</pubDate>
    <lastBuildDate>Tue, 02 Dec 2025 23:34:10 -0800</lastBuildDate>
    <image>
      <url>https://img.transistor.fm/fCQ4lx6Tn6tpdlYtlGijF2Dd6tUWeHW4sxR1_CynB9k/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83ZGRi/MTE5MmJjODMzMWI5/MDM0N2RlMmFkODhk/Mjc2Yy5wbmc.jpg</url>
      <title>Learn About AI</title>
    </image>
    <itunes:type>episodic</itunes:type>
    <itunes:author>Simtheory</itunes:author>
    <itunes:image href="https://img.transistor.fm/fCQ4lx6Tn6tpdlYtlGijF2Dd6tUWeHW4sxR1_CynB9k/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83ZGRi/MTE5MmJjODMzMWI5/MDM0N2RlMmFkODhk/Mjc2Yy5wbmc.jpg"/>
    <itunes:summary>A show where we explore AI concepts like MCP</itunes:summary>
    <itunes:subtitle>A show where we explore AI concepts like MCP.</itunes:subtitle>
    <itunes:keywords></itunes:keywords>
    <itunes:owner>
      <itunes:name>Simtheory</itunes:name>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Understanding the Model Context Protocol (MCP)</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Understanding the Model Context Protocol (MCP)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">88454359-6d9c-435f-8ceb-9e1818774a64</guid>
      <link>https://share.transistor.fm/s/3d2f2575</link>
      <description>
        <![CDATA[Welcome to the first episode of Learn about AI! Today we're diving into the Model Context Protocol (MCP) - a game-changing standard that's revolutionizing how AI systems connect to external data and tools.

In this episode, we explore:
• What MCP is and why it matters (think "USB-C for AI applications")
• The problem MCP solves - AI models being frozen in time
• How MCP works through its client-server architecture
• The standardization benefits for developers
• Anthropic's November 2024 launch and industry adoption
• Real-world applications and future implications

Whether you're a developer, business owner, or just curious about AI technology, this episode breaks down MCP in an accessible way that anyone can understand.

Join us as we explore how MCP is transforming AI from isolated language models into connected agents that can truly integrate into your workflows and business processes.]]>
      </description>
      <content:encoded>
        <![CDATA[Welcome to the first episode of Learn about AI! Today we're diving into the Model Context Protocol (MCP) - a game-changing standard that's revolutionizing how AI systems connect to external data and tools.

In this episode, we explore:
• What MCP is and why it matters (think "USB-C for AI applications")
• The problem MCP solves - AI models being frozen in time
• How MCP works through its client-server architecture
• The standardization benefits for developers
• Anthropic's November 2024 launch and industry adoption
• Real-world applications and future implications

Whether you're a developer, business owner, or just curious about AI technology, this episode breaks down MCP in an accessible way that anyone can understand.

Join us as we explore how MCP is transforming AI from isolated language models into connected agents that can truly integrate into your workflows and business processes.]]>
      </content:encoded>
      <pubDate>Sun, 24 Aug 2025 19:09:16 -0700</pubDate>
      <author>Simtheory</author>
      <enclosure url="https://media.transistor.fm/3d2f2575/c420c3e0.mp3" length="1167941" type="audio/mpeg"/>
      <itunes:author>Simtheory</itunes:author>
      <itunes:image href="https://img.transistor.fm/gEzE36bjQ2sSR-paWJvaAvHDhRD6o-6gezFemB8GbWY/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81MDk0/ZTBlYjIxNmE0NmZl/YTQxMWFhZGNkM2Jm/OWRiMS5wbmc.jpg"/>
      <itunes:duration>138</itunes:duration>
      <itunes:summary>Discover what MCP (Model Context Protocol) is and why it's revolutionizing how AI systems connect to the real world. Learn about this standardized protocol that acts like "USB-C for AI applications" and how it's transforming AI from isolated models into connected, capable agents.</itunes:summary>
      <itunes:subtitle>Discover what MCP (Model Context Protocol) is and why it's revolutionizing how AI systems connect to the real world. Learn about this standardized protocol that acts like "USB-C for AI applications" and how it's transforming AI from isolated models into c</itunes:subtitle>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
  </channel>
</rss>
