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    <description>Pragmatic AI is a podcast about practical AI for business leaders, developers, and thinkers—the stuff that actually works, not the hate or the hype. We cover using AI tools day-to-day across the spectrum of human experience.</description>
    <copyright>© 2026 Matt Stauffer</copyright>
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    <pubDate>Mon, 13 Apr 2026 14:26:12 -0400</pubDate>
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      <title>Pragmatic AI with Matt Stauffer</title>
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    <itunes:author>Matt Stauffer</itunes:author>
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    <itunes:summary>Pragmatic AI is a podcast about practical AI for business leaders, developers, and thinkers—the stuff that actually works, not the hate or the hype. We cover using AI tools day-to-day across the spectrum of human experience.</itunes:summary>
    <itunes:subtitle>Pragmatic AI is a podcast about practical AI for business leaders, developers, and thinkers—the stuff that actually works, not the hate or the hype.</itunes:subtitle>
    <itunes:keywords>Ai</itunes:keywords>
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      <itunes:name>Matt Stauffer</itunes:name>
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    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Advocating for more AI Governance</title>
      <itunes:episode>10</itunes:episode>
      <podcast:episode>10</podcast:episode>
      <itunes:title>Advocating for more AI Governance</itunes:title>
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        <![CDATA[<p>Matt Stauffer talks with Karen Maria Alston, a 20-year communication strategist turned AI governance advocate, about why AI is impacting everyone, whether they use it or not.</p><p><br>They get into the real-world ways AI is already shaping daily life: deepfake photos on dating apps, AI-generated social media influencers with millions of followers, voice mimicry scams draining retirement accounts, and what it means that most Americans, including most politicians, still have no idea any of this is happening. Karen breaks down the case for voter mobilization, legislative action, and why individual abstention from AI doesn't actually change the trajectory.</p><p><br>The conversation also gets into identity, the social contract, and the deeper human cost of automation, including what it means to lose a job that was part of who you were, and what it looks like to be hopeful about AI without being naive about it.</p><ul><li><a href="https://x.com/mattstauffer">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://www.linkedin.com/in/karenmariaalston/">Karen Maria Alston on LinkedIn</a> </li><li><a href="https://www.instagram.com/karenmariaalston/">Karen Maria Alston on Instagram</a> </li><li><a href="https://substack.com/@beingkarenalston">Karen Maria Alston on Substack</a> </li><li><a href="http://www.karenalston.com/">Karen Maria Alston’s Website</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
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        <![CDATA[<p>Matt Stauffer talks with Karen Maria Alston, a 20-year communication strategist turned AI governance advocate, about why AI is impacting everyone, whether they use it or not.</p><p><br>They get into the real-world ways AI is already shaping daily life: deepfake photos on dating apps, AI-generated social media influencers with millions of followers, voice mimicry scams draining retirement accounts, and what it means that most Americans, including most politicians, still have no idea any of this is happening. Karen breaks down the case for voter mobilization, legislative action, and why individual abstention from AI doesn't actually change the trajectory.</p><p><br>The conversation also gets into identity, the social contract, and the deeper human cost of automation, including what it means to lose a job that was part of who you were, and what it looks like to be hopeful about AI without being naive about it.</p><ul><li><a href="https://x.com/mattstauffer">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://www.linkedin.com/in/karenmariaalston/">Karen Maria Alston on LinkedIn</a> </li><li><a href="https://www.instagram.com/karenmariaalston/">Karen Maria Alston on Instagram</a> </li><li><a href="https://substack.com/@beingkarenalston">Karen Maria Alston on Substack</a> </li><li><a href="http://www.karenalston.com/">Karen Maria Alston’s Website</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
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      <pubDate>Wed, 08 Apr 2026 09:00:00 -0400</pubDate>
      <author>Matt Stauffer</author>
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      <itunes:author>Matt Stauffer</itunes:author>
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      <itunes:duration>2514</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Matt Stauffer talks with Karen Maria Alston, a 20-year communication strategist turned AI governance advocate, about why AI is impacting everyone, whether they use it or not.</p><p><br>They get into the real-world ways AI is already shaping daily life: deepfake photos on dating apps, AI-generated social media influencers with millions of followers, voice mimicry scams draining retirement accounts, and what it means that most Americans, including most politicians, still have no idea any of this is happening. Karen breaks down the case for voter mobilization, legislative action, and why individual abstention from AI doesn't actually change the trajectory.</p><p><br>The conversation also gets into identity, the social contract, and the deeper human cost of automation, including what it means to lose a job that was part of who you were, and what it looks like to be hopeful about AI without being naive about it.</p><ul><li><a href="https://x.com/mattstauffer">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://www.linkedin.com/in/karenmariaalston/">Karen Maria Alston on LinkedIn</a> </li><li><a href="https://www.instagram.com/karenmariaalston/">Karen Maria Alston on Instagram</a> </li><li><a href="https://substack.com/@beingkarenalston">Karen Maria Alston on Substack</a> </li><li><a href="http://www.karenalston.com/">Karen Maria Alston’s Website</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI governance, AI safety, AI impact on society, AI regulation, ethical AI, AI and society, AI in daily life, AI policy, AI risks, AI benefits</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
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    <item>
      <title>The Nexus of Technology &amp; Theology</title>
      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <itunes:title>The Nexus of Technology &amp; Theology</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>Matt Stauffer talks with Nick Peterson, PhD, Assistant Professor of Homiletics at Christian Theological Seminary, ordained AME minister, executive pastor, and grant director, about the deep history between religion and technology, and what AI is really doing to knowledge, credit, and labor.</p><p>They explore how Nick uses AI as a tool for falsifiability rather than content generation, why the plantation economy is a useful (and uncomfortable) lens for understanding who benefits from large language models, and how the same dynamics that shaped the Gutenberg press, televangelism, and colonialism are very much alive in the age of Claude and ChatGPT.</p><p>The conversation raises harder questions about what it means to own an idea, what students lose when AI does their thinking for them, and whether the consolidation of knowledge in the hands of a few tech platforms is something new, or just the oldest story in human history, running faster.</p><ul><li><a href="https://x.com/mattstauffer">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a></li><li><a href="http://www.brothernick.com">Nick’s Website</a> </li><li><a href="https://www.instagram.com/thenickpexperience/">Nick on Instagram</a> </li><li><a href="https://www.facebook.com/nick.peterson.336">Nick on Facebook</a> </li></ul><p>-----</p><p>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Matt Stauffer talks with Nick Peterson, PhD, Assistant Professor of Homiletics at Christian Theological Seminary, ordained AME minister, executive pastor, and grant director, about the deep history between religion and technology, and what AI is really doing to knowledge, credit, and labor.</p><p>They explore how Nick uses AI as a tool for falsifiability rather than content generation, why the plantation economy is a useful (and uncomfortable) lens for understanding who benefits from large language models, and how the same dynamics that shaped the Gutenberg press, televangelism, and colonialism are very much alive in the age of Claude and ChatGPT.</p><p>The conversation raises harder questions about what it means to own an idea, what students lose when AI does their thinking for them, and whether the consolidation of knowledge in the hands of a few tech platforms is something new, or just the oldest story in human history, running faster.</p><ul><li><a href="https://x.com/mattstauffer">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a></li><li><a href="http://www.brothernick.com">Nick’s Website</a> </li><li><a href="https://www.instagram.com/thenickpexperience/">Nick on Instagram</a> </li><li><a href="https://www.facebook.com/nick.peterson.336">Nick on Facebook</a> </li></ul><p>-----</p><p>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </content:encoded>
      <pubDate>Wed, 01 Apr 2026 09:00:00 -0400</pubDate>
      <author>Matt Stauffer</author>
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      <itunes:author>Matt Stauffer</itunes:author>
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      <itunes:duration>3150</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Matt Stauffer talks with Nick Peterson, PhD, Assistant Professor of Homiletics at Christian Theological Seminary, ordained AME minister, executive pastor, and grant director, about the deep history between religion and technology, and what AI is really doing to knowledge, credit, and labor.</p><p>They explore how Nick uses AI as a tool for falsifiability rather than content generation, why the plantation economy is a useful (and uncomfortable) lens for understanding who benefits from large language models, and how the same dynamics that shaped the Gutenberg press, televangelism, and colonialism are very much alive in the age of Claude and ChatGPT.</p><p>The conversation raises harder questions about what it means to own an idea, what students lose when AI does their thinking for them, and whether the consolidation of knowledge in the hands of a few tech platforms is something new, or just the oldest story in human history, running faster.</p><ul><li><a href="https://x.com/mattstauffer">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a></li><li><a href="http://www.brothernick.com">Nick’s Website</a> </li><li><a href="https://www.instagram.com/thenickpexperience/">Nick on Instagram</a> </li><li><a href="https://www.facebook.com/nick.peterson.336">Nick on Facebook</a> </li></ul><p>-----</p><p>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, technology, religion, theological education, content creation, societal impact, labor, credit, power dynamics, digital spaces</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
      <podcast:person role="Guest" href="https://www.brothernick.com/" img="https://img.transistorcdn.com/m2BCJbKs60rRc0zYc7uPRJ1dmfj913WLix-3FcXw1rQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84YTM2/YWZkYmMxZTAzNTE2/NjMxMzU0MTRjMGY5/MDlkNS5qcGc.jpg">Nick Peterson, PhD</podcast:person>
      <podcast:transcript url="https://share.transistor.fm/s/63e2bd33/transcript.txt" type="text/plain"/>
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    <item>
      <title>A Framework for Approaching Worrying Technology</title>
      <itunes:episode>8</itunes:episode>
      <podcast:episode>8</podcast:episode>
      <itunes:title>A Framework for Approaching Worrying Technology</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/9737c51d</link>
      <description>
        <![CDATA[<p>Matt Stauffer talks with Reuben Johnson — aka YoBigRube — founder of Fly Duo, a storytelling studio specializing in high-trust narratives for complex and sensitive messaging. Reuben brings a perspective shaped by decades as a self-taught developer and outsider to the tech establishment.</p><p><br>They explore what it looks like to engage with AI when you have real criticisms of the industry — from choosing the least evil tool to running local LLMs, using AI as a writing accountability partner, and refusing to let a machine call itself human.</p><p><br>The conversation covers AI bias, abstracted accountability, the vulnerability of kids to AI characters, and why the answer to symbolic activism isn't more symbols — it's showing up in community, staying curious, and never deciding you've done enough.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="http://xoflyduo.com/">FlyDuo | High-Trust Storytelling</a><br><a href="https://calendly.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fyobigrube&amp;user_uuid=CHGHEBIIDHI72J6B&amp;stage=1&amp;hmac=14a015223e884277f35537d4d3f4778b656bcad63b7e0ee074d88b7f317e2dea">Reuben Johnson on LinkedIn</a></li><li><a href="https://open.spotify.com/episode/1myXEFUfMZgDfPuST9uzRd?si=YbvFIN0cQEagfVR61JouhA">Sam Cole Deep Fake Podcast</a> </li><li><a href="https://thetechwewant.com/">The Tech We Want</a></li><li><a href="https://www.404media.co/">404 Media</a></li><li><a href="https://small-tech.org/">Small Technology Foundation</a></li><li><a href="https://www.pbs.org/">PBS </a></li><li><a href="https://sextechnchill.com/">Sex Tech N Chill </a></li><li><a href="https://x.com/kylezantos/status/2012758323544625166?s=20">Community Tweet</a> </li></ul><p>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Matt Stauffer talks with Reuben Johnson — aka YoBigRube — founder of Fly Duo, a storytelling studio specializing in high-trust narratives for complex and sensitive messaging. Reuben brings a perspective shaped by decades as a self-taught developer and outsider to the tech establishment.</p><p><br>They explore what it looks like to engage with AI when you have real criticisms of the industry — from choosing the least evil tool to running local LLMs, using AI as a writing accountability partner, and refusing to let a machine call itself human.</p><p><br>The conversation covers AI bias, abstracted accountability, the vulnerability of kids to AI characters, and why the answer to symbolic activism isn't more symbols — it's showing up in community, staying curious, and never deciding you've done enough.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="http://xoflyduo.com/">FlyDuo | High-Trust Storytelling</a><br><a href="https://calendly.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fyobigrube&amp;user_uuid=CHGHEBIIDHI72J6B&amp;stage=1&amp;hmac=14a015223e884277f35537d4d3f4778b656bcad63b7e0ee074d88b7f317e2dea">Reuben Johnson on LinkedIn</a></li><li><a href="https://open.spotify.com/episode/1myXEFUfMZgDfPuST9uzRd?si=YbvFIN0cQEagfVR61JouhA">Sam Cole Deep Fake Podcast</a> </li><li><a href="https://thetechwewant.com/">The Tech We Want</a></li><li><a href="https://www.404media.co/">404 Media</a></li><li><a href="https://small-tech.org/">Small Technology Foundation</a></li><li><a href="https://www.pbs.org/">PBS </a></li><li><a href="https://sextechnchill.com/">Sex Tech N Chill </a></li><li><a href="https://x.com/kylezantos/status/2012758323544625166?s=20">Community Tweet</a> </li></ul><p>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </content:encoded>
      <pubDate>Wed, 25 Mar 2026 09:00:00 -0400</pubDate>
      <author>Matt Stauffer</author>
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      <itunes:author>Matt Stauffer</itunes:author>
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      <itunes:duration>3874</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Matt Stauffer talks with Reuben Johnson — aka YoBigRube — founder of Fly Duo, a storytelling studio specializing in high-trust narratives for complex and sensitive messaging. Reuben brings a perspective shaped by decades as a self-taught developer and outsider to the tech establishment.</p><p><br>They explore what it looks like to engage with AI when you have real criticisms of the industry — from choosing the least evil tool to running local LLMs, using AI as a writing accountability partner, and refusing to let a machine call itself human.</p><p><br>The conversation covers AI bias, abstracted accountability, the vulnerability of kids to AI characters, and why the answer to symbolic activism isn't more symbols — it's showing up in community, staying curious, and never deciding you've done enough.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="http://xoflyduo.com/">FlyDuo | High-Trust Storytelling</a><br><a href="https://calendly.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fyobigrube&amp;user_uuid=CHGHEBIIDHI72J6B&amp;stage=1&amp;hmac=14a015223e884277f35537d4d3f4778b656bcad63b7e0ee074d88b7f317e2dea">Reuben Johnson on LinkedIn</a></li><li><a href="https://open.spotify.com/episode/1myXEFUfMZgDfPuST9uzRd?si=YbvFIN0cQEagfVR61JouhA">Sam Cole Deep Fake Podcast</a> </li><li><a href="https://thetechwewant.com/">The Tech We Want</a></li><li><a href="https://www.404media.co/">404 Media</a></li><li><a href="https://small-tech.org/">Small Technology Foundation</a></li><li><a href="https://www.pbs.org/">PBS </a></li><li><a href="https://sextechnchill.com/">Sex Tech N Chill </a></li><li><a href="https://x.com/kylezantos/status/2012758323544625166?s=20">Community Tweet</a> </li></ul><p>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI ethics, responsible AI, social impact of AI, AI bias, AI tools, technology and society, AI safety, open source AI, AI and social justice, AI development</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
      <podcast:person role="Guest" href="https://xoflyduo.com/" img="https://img.transistorcdn.com/zo3u7RlyZBBQBjIx1aTyI3xqodi49XeHeFbtcaqOvhc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNjNj/ZDY5NTViYmEyNjEy/YmEwYmI1OWRiMzFk/ZWUwZS5KUEc.jpg">Reuben Johnson</podcast:person>
      <podcast:transcript url="https://share.transistor.fm/s/9737c51d/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Beyond “Spicy Autocomplete”: What AI Models Actually Do</title>
      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <itunes:title>Beyond “Spicy Autocomplete”: What AI Models Actually Do</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">473394c2-d47d-4af7-9c3b-7c6306608b55</guid>
      <link>https://share.transistor.fm/s/61ffa70c</link>
      <description>
        <![CDATA[<p>Matt Stauffer sits down with Sam Rose, developer educator at ngrok, to unpack what’s actually happening inside the AI models we use every day. Sam breaks down ideas like parameters, gradient descent, embeddings, and vector search in a way that makes them intuitive, using simple analogies such as converting Celsius to Fahrenheit. Along the way, they explore Ethan Mollick’s concept of the “jagged frontier” of AI capability and discuss why benchmarks like SWE-bench don’t always tell the full story.</p><p>The conversation wraps with a thoughtful look at the ethical tensions around modern AI: intellectual property concerns, the massive financial momentum behind these systems, and what it means to keep using these tools thoughtfully even when you’re still wrestling with their implications.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://samwho.dev/">Sam Website</a> </li><li><a href="https://x.com/samwhoo">Sam on Twitter</a> </li><li><a href="https://ngrok.com/blog/prompt-caching">Prompt Caching Blog Post</a> </li><li><a href="https://amzn.to/4sdCSPw">Co-Intelligence Book </a></li><li><a href="https://ngrok.com/blog/ai-benchmarks">Benchmark Blog Post</a> </li><li><a href="https://proceedings.neurips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf">Distributed Representations of Words and Phrases and their Compositionality</a> </li><li><a href="https://x.com/stephencwelch">Stephen Welch on Twitter</a></li><li><a href="https://www.youtube.com/c/WelchLabsVideo">Welch Labs on YouTube </a></li><li><a href="https://www.youtube.com/@juliaturc1">Julia Turc on YouTube</a></li><li><a href="https://amzn.to/415f5oQ">Build a Large Language Model (From Scratch) Book</a> </li><li><a href="https://natolambert.com/">Nathan Lambert</a></li><li><a href="https://aaronfrancis.com/">Aaron Francis Website</a></li><li><a href="https://faster.dev/">Faster.dev</a> </li><li><a href="https://mitchellh.com/">Mitchell Hashimoto</a> </li><li><a href="https://lucumr.pocoo.org/about/">Armin Ronacher</a> </li><li><a href="https://fly.io/blog/youre-all-nuts/">My AI Skeptic Friends Are All Nuts Blog Post</a> </li></ul><p>-----</p><p>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Matt Stauffer sits down with Sam Rose, developer educator at ngrok, to unpack what’s actually happening inside the AI models we use every day. Sam breaks down ideas like parameters, gradient descent, embeddings, and vector search in a way that makes them intuitive, using simple analogies such as converting Celsius to Fahrenheit. Along the way, they explore Ethan Mollick’s concept of the “jagged frontier” of AI capability and discuss why benchmarks like SWE-bench don’t always tell the full story.</p><p>The conversation wraps with a thoughtful look at the ethical tensions around modern AI: intellectual property concerns, the massive financial momentum behind these systems, and what it means to keep using these tools thoughtfully even when you’re still wrestling with their implications.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://samwho.dev/">Sam Website</a> </li><li><a href="https://x.com/samwhoo">Sam on Twitter</a> </li><li><a href="https://ngrok.com/blog/prompt-caching">Prompt Caching Blog Post</a> </li><li><a href="https://amzn.to/4sdCSPw">Co-Intelligence Book </a></li><li><a href="https://ngrok.com/blog/ai-benchmarks">Benchmark Blog Post</a> </li><li><a href="https://proceedings.neurips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf">Distributed Representations of Words and Phrases and their Compositionality</a> </li><li><a href="https://x.com/stephencwelch">Stephen Welch on Twitter</a></li><li><a href="https://www.youtube.com/c/WelchLabsVideo">Welch Labs on YouTube </a></li><li><a href="https://www.youtube.com/@juliaturc1">Julia Turc on YouTube</a></li><li><a href="https://amzn.to/415f5oQ">Build a Large Language Model (From Scratch) Book</a> </li><li><a href="https://natolambert.com/">Nathan Lambert</a></li><li><a href="https://aaronfrancis.com/">Aaron Francis Website</a></li><li><a href="https://faster.dev/">Faster.dev</a> </li><li><a href="https://mitchellh.com/">Mitchell Hashimoto</a> </li><li><a href="https://lucumr.pocoo.org/about/">Armin Ronacher</a> </li><li><a href="https://fly.io/blog/youre-all-nuts/">My AI Skeptic Friends Are All Nuts Blog Post</a> </li></ul><p>-----</p><p>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </content:encoded>
      <pubDate>Wed, 18 Mar 2026 09:00:00 -0400</pubDate>
      <author>Matt Stauffer</author>
      <enclosure url="https://media.transistor.fm/61ffa70c/29b388f9.mp3" length="60659579" type="audio/mpeg"/>
      <itunes:author>Matt Stauffer</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/67LaOlSexJmEcBamwF87cx0m70QXfpV6zF5xEntAmHs/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lZGM0/OGI5NzE1YjY0MmZi/OTFmNDJjOWM4M2Fi/NmM5YS5wbmc.jpg"/>
      <itunes:duration>3789</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Matt Stauffer sits down with Sam Rose, developer educator at ngrok, to unpack what’s actually happening inside the AI models we use every day. Sam breaks down ideas like parameters, gradient descent, embeddings, and vector search in a way that makes them intuitive, using simple analogies such as converting Celsius to Fahrenheit. Along the way, they explore Ethan Mollick’s concept of the “jagged frontier” of AI capability and discuss why benchmarks like SWE-bench don’t always tell the full story.</p><p>The conversation wraps with a thoughtful look at the ethical tensions around modern AI: intellectual property concerns, the massive financial momentum behind these systems, and what it means to keep using these tools thoughtfully even when you’re still wrestling with their implications.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://samwho.dev/">Sam Website</a> </li><li><a href="https://x.com/samwhoo">Sam on Twitter</a> </li><li><a href="https://ngrok.com/blog/prompt-caching">Prompt Caching Blog Post</a> </li><li><a href="https://amzn.to/4sdCSPw">Co-Intelligence Book </a></li><li><a href="https://ngrok.com/blog/ai-benchmarks">Benchmark Blog Post</a> </li><li><a href="https://proceedings.neurips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf">Distributed Representations of Words and Phrases and their Compositionality</a> </li><li><a href="https://x.com/stephencwelch">Stephen Welch on Twitter</a></li><li><a href="https://www.youtube.com/c/WelchLabsVideo">Welch Labs on YouTube </a></li><li><a href="https://www.youtube.com/@juliaturc1">Julia Turc on YouTube</a></li><li><a href="https://amzn.to/415f5oQ">Build a Large Language Model (From Scratch) Book</a> </li><li><a href="https://natolambert.com/">Nathan Lambert</a></li><li><a href="https://aaronfrancis.com/">Aaron Francis Website</a></li><li><a href="https://faster.dev/">Faster.dev</a> </li><li><a href="https://mitchellh.com/">Mitchell Hashimoto</a> </li><li><a href="https://lucumr.pocoo.org/about/">Armin Ronacher</a> </li><li><a href="https://fly.io/blog/youre-all-nuts/">My AI Skeptic Friends Are All Nuts Blog Post</a> </li></ul><p>-----</p><p>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, LLM, large language model, prompt caching, vector search,  AI benchmarks, SWE-bench, agentic coding, open source models, AI ethics, ngrok, AI for non-developers, Claude Code, Codex, AI tools</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
      <podcast:person role="Guest" href="https://samwho.dev/" img="https://img.transistorcdn.com/p37HSiUpN2_uuic0IC5hiLzirVEqXi60KqaU_dCWG8k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZjEw/ODU3OTBiZjFhZTQw/OTE3ZWVlMWU5ZTQz/OTg5ZS5qcGc.jpg">Sam Rose</podcast:person>
      <podcast:transcript url="https://share.transistor.fm/s/61ffa70c/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Understanding, and Automating, Business with AI</title>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>Understanding, and Automating, Business with AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">0b1fcaf5-f6a4-458a-bc85-a9d1e5a202eb</guid>
      <link>https://share.transistor.fm/s/865a6426</link>
      <description>
        <![CDATA[<p>In this episode, Matt Stauffer talks with AI strategist Blessing Richardson about how businesses can use AI in practical, responsible ways. They explore the importance of data literacy, building personal AI tools, and creating a culture of experimentation inside organizations. The conversation also looks at the deeper questions: how AI is changing the way we work, how it affects us as humans, and what the future of AI in business might look like.</p><p><br></p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://blessingeffect.com/?utm_source=speaker-guide">Blessing’s Blog</a> </li><li><a href="https://syl.to/linkedin?utm_source=speaker-guide">Blessing on LinkedIn</a> </li><li><a href="https://syl.to/threads?utm_source=speaker-guide">Blessing on Threads</a> </li><li><a href="https://sayla.co/?utm_source=speaker-guide">Sayla</a> </li><li><a href="https://coda.io/">Coda</a></li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, Matt Stauffer talks with AI strategist Blessing Richardson about how businesses can use AI in practical, responsible ways. They explore the importance of data literacy, building personal AI tools, and creating a culture of experimentation inside organizations. The conversation also looks at the deeper questions: how AI is changing the way we work, how it affects us as humans, and what the future of AI in business might look like.</p><p><br></p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://blessingeffect.com/?utm_source=speaker-guide">Blessing’s Blog</a> </li><li><a href="https://syl.to/linkedin?utm_source=speaker-guide">Blessing on LinkedIn</a> </li><li><a href="https://syl.to/threads?utm_source=speaker-guide">Blessing on Threads</a> </li><li><a href="https://sayla.co/?utm_source=speaker-guide">Sayla</a> </li><li><a href="https://coda.io/">Coda</a></li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </content:encoded>
      <pubDate>Wed, 11 Mar 2026 09:00:00 -0400</pubDate>
      <author>Matt Stauffer</author>
      <enclosure url="https://media.transistor.fm/865a6426/ccbcafa9.mp3" length="47726160" type="audio/mpeg"/>
      <itunes:author>Matt Stauffer</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/O8iWKIp0yAkGU9C45umBqWnY_oA6XEKKc6iSxIB5w9E/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YTY4/OGU3Njk3NTIxYmY3/NjIxOWJlMGQ4NWQw/ZjRhYS5wbmc.jpg"/>
      <itunes:duration>2981</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, Matt Stauffer talks with AI strategist Blessing Richardson about how businesses can use AI in practical, responsible ways. They explore the importance of data literacy, building personal AI tools, and creating a culture of experimentation inside organizations. The conversation also looks at the deeper questions: how AI is changing the way we work, how it affects us as humans, and what the future of AI in business might look like.</p><p><br></p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://blessingeffect.com/?utm_source=speaker-guide">Blessing’s Blog</a> </li><li><a href="https://syl.to/linkedin?utm_source=speaker-guide">Blessing on LinkedIn</a> </li><li><a href="https://syl.to/threads?utm_source=speaker-guide">Blessing on Threads</a> </li><li><a href="https://sayla.co/?utm_source=speaker-guide">Sayla</a> </li><li><a href="https://coda.io/">Coda</a></li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </itunes:summary>
      <itunes:keywords>Ai</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
      <podcast:transcript url="https://share.transistor.fm/s/865a6426/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>How AI Is Changing Writing and Creative Work</title>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>How AI Is Changing Writing and Creative Work</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">a9c45d41-dd51-40a7-81ee-a52521315082</guid>
      <link>https://share.transistor.fm/s/b79cc937</link>
      <description>
        <![CDATA[<p>In this episode of Pragmatic AI, Matt Stauffer and Jordan Keller discuss how AI is reshaping writing, content creation, and the people who make their living with words.</p><p><br>They unpack Jordan’s wide-ranging career, the pressure writers are feeling as AI floods the internet with passable content, and why taste and discernment matter more than ever. They explore where AI can genuinely help, especially in research and synthesis, and where it still falls short in originality and creative depth.</p><p><br>The conversation also touches on decentralization, ownership, and what it means to build a voice in a world where anyone can generate text in seconds.</p><p><br></p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://bsky.app/profile/jordan-keller.com">Jordan Keller on Bluesky</a></li><li><a href="http://www.jordan-keller.com/">Jordan Keller Website</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode of Pragmatic AI, Matt Stauffer and Jordan Keller discuss how AI is reshaping writing, content creation, and the people who make their living with words.</p><p><br>They unpack Jordan’s wide-ranging career, the pressure writers are feeling as AI floods the internet with passable content, and why taste and discernment matter more than ever. They explore where AI can genuinely help, especially in research and synthesis, and where it still falls short in originality and creative depth.</p><p><br>The conversation also touches on decentralization, ownership, and what it means to build a voice in a world where anyone can generate text in seconds.</p><p><br></p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://bsky.app/profile/jordan-keller.com">Jordan Keller on Bluesky</a></li><li><a href="http://www.jordan-keller.com/">Jordan Keller Website</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </content:encoded>
      <pubDate>Wed, 04 Mar 2026 09:00:00 -0500</pubDate>
      <author>Matt Stauffer</author>
      <enclosure url="https://media.transistor.fm/b79cc937/656d1d7d.mp3" length="50353154" type="audio/mpeg"/>
      <itunes:author>Matt Stauffer</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/GFTTfvWkU33OHRYKJJ7YVlDD_-K-xnc5SQlkDxWoSEs/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yYTBm/MTNkZWEwMDA2NDdi/NTAzYjlmY2ZjMjhh/NzFiNS5wbmc.jpg"/>
      <itunes:duration>3145</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode of Pragmatic AI, Matt Stauffer and Jordan Keller discuss how AI is reshaping writing, content creation, and the people who make their living with words.</p><p><br>They unpack Jordan’s wide-ranging career, the pressure writers are feeling as AI floods the internet with passable content, and why taste and discernment matter more than ever. They explore where AI can genuinely help, especially in research and synthesis, and where it still falls short in originality and creative depth.</p><p><br>The conversation also touches on decentralization, ownership, and what it means to build a voice in a world where anyone can generate text in seconds.</p><p><br></p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://bsky.app/profile/jordan-keller.com">Jordan Keller on Bluesky</a></li><li><a href="http://www.jordan-keller.com/">Jordan Keller Website</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, content creation, writing, technology, decentralization, creativity, programming, automation, marketing, communication</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
      <podcast:person role="Guest" href="https://www.jordan-keller.com/" img="https://img.transistorcdn.com/AwI6V5AUmvz-hibjuS_Em9okZXxF5ceAyYoSGyacUv4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82NzM0/NTU3MjBmYjg3ZWQy/NDRhMzlkNTllODky/ZjdlOC5qcGc.jpg">Jordan Keller</podcast:person>
      <podcast:transcript url="https://share.transistor.fm/s/b79cc937/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>The Education Business in an AI World</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>The Education Business in an AI World</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">722e765d-f98b-4f4a-bc13-4b006660c53f</guid>
      <link>https://share.transistor.fm/s/a861bd2f</link>
      <description>
        <![CDATA[<p>In this episode of Pragmatic AI, Matt Stauffer interviews Jeffrey Way, the creator of Laracasts, to talk about what AI is really doing to developer education. They explore how AI is changing the landscape of developer education, the challenges it presents, and the need for educational platforms to adapt. Jeffrey shares the tension many educators feel right now: excitement about what AI makes possible, mixed with the uncertainty of what it replaces. The conversation moves beyond developers, exploring how AI changes the way non-technical people learn, build, and participate in the software world.</p><p><br> </p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a></li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://x.com/jeffrey_way">Jeffrey Way on Twitter</a> </li><li><a href="https://laracasts.com/">Laracasts</a> </li><li><a href="https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/">MIT Technology Review - AI’s Energy Footprint</a> </li><li><a href="https://www.youtube.com/watch?v=C51B50Qh6sI">Her Movie</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p><p><br></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode of Pragmatic AI, Matt Stauffer interviews Jeffrey Way, the creator of Laracasts, to talk about what AI is really doing to developer education. They explore how AI is changing the landscape of developer education, the challenges it presents, and the need for educational platforms to adapt. Jeffrey shares the tension many educators feel right now: excitement about what AI makes possible, mixed with the uncertainty of what it replaces. The conversation moves beyond developers, exploring how AI changes the way non-technical people learn, build, and participate in the software world.</p><p><br> </p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a></li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://x.com/jeffrey_way">Jeffrey Way on Twitter</a> </li><li><a href="https://laracasts.com/">Laracasts</a> </li><li><a href="https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/">MIT Technology Review - AI’s Energy Footprint</a> </li><li><a href="https://www.youtube.com/watch?v=C51B50Qh6sI">Her Movie</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p><p><br></p>]]>
      </content:encoded>
      <pubDate>Wed, 25 Feb 2026 09:00:00 -0500</pubDate>
      <author>Matt Stauffer</author>
      <enclosure url="https://media.transistor.fm/a861bd2f/f0bd0c01.mp3" length="49147269" type="audio/mpeg"/>
      <itunes:author>Matt Stauffer</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/ttFLYsWEqA1WqB6eMMSa_-_2p-eM2jcfuhA3XY0x-fc/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84YTNk/MTU1MWJjZTVmYWM4/Y2EyODU5MDk5MDY0/Nzc3ZS5wbmc.jpg"/>
      <itunes:duration>3070</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode of Pragmatic AI, Matt Stauffer interviews Jeffrey Way, the creator of Laracasts, to talk about what AI is really doing to developer education. They explore how AI is changing the landscape of developer education, the challenges it presents, and the need for educational platforms to adapt. Jeffrey shares the tension many educators feel right now: excitement about what AI makes possible, mixed with the uncertainty of what it replaces. The conversation moves beyond developers, exploring how AI changes the way non-technical people learn, build, and participate in the software world.</p><p><br> </p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a></li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://x.com/jeffrey_way">Jeffrey Way on Twitter</a> </li><li><a href="https://laracasts.com/">Laracasts</a> </li><li><a href="https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/">MIT Technology Review - AI’s Energy Footprint</a> </li><li><a href="https://www.youtube.com/watch?v=C51B50Qh6sI">Her Movie</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p><p><br></p>]]>
      </itunes:summary>
      <itunes:keywords>AI, education, programming, developer education, Laracasts, Jeffrey Way, AI impact, learning, technology, future of work</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
      <podcast:person role="Guest" href="https://calendly.com/url?q=https%3A%2F%2Flaracasts.com&amp;user_uuid=CHGHEBIIDHI72J6B&amp;stage=1&amp;hmac=074516511d646c42a396d47e7350d75ea1738b2a529d223716902d43db63c53c" img="https://img.transistorcdn.com/uT7ySw25TWllzMArLXYjxLGaXsDuWMakvRDi4f38rzE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YjU0/OWY1M2RmNTUyYmY3/ZGQ4OGNjYzdmYmNm/YmJiMy5qcGVn.jpg">Jeffrey Way</podcast:person>
      <podcast:transcript url="https://share.transistor.fm/s/a861bd2f/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>AI’s Impact on Open Source Funding</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>AI’s Impact on Open Source Funding</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">cf4b1192-7771-4a68-a2d0-f0accf089c95</guid>
      <link>https://share.transistor.fm/s/f750c74f</link>
      <description>
        <![CDATA[<p>In this episode, Matt Stauffer sits down with Adam Wathan, creator of Tailwind CSS, to talk about the very real impact AI is having on product companies, open source communities, and the broader tech landscape. Adam shares how AI has affected Tailwind’s business, including revenue shifts and the difficult decision to make layoffs.</p><p><br>They discuss the emotional weight of leading through change, the search for new opportunities in an AI-shaped world, and what it means for developer education moving forward. Adam emphasizes that while AI is reshaping how we build, developers must adapt to AI tools while maintaining the human element of software development.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://x.com/adamwathan">Adam Wathan on Twitter</a> </li><li><a href="https://tailwindcss.com/">Tailwind CSS</a> </li><li><a href="https://adams-morning-walk.transistor.fm/episodes/we-had-six-months-left">Adam’s Podcast Episode Re: Layoffs </a></li><li><a href="https://www.amazon.com/Buy-Back-Your-Time-Unstuck/dp/059342297X?crid=3EJBXCNFLZNOL&amp;dib=eyJ2IjoiMSJ9.0gGAh4KQ8YW-P-sz7n0JbDYtqBoMbVs3TV9R2imsEm2M-mCwbdURmx-asCUkLFLZ9B-UYPlaxVOfPO1u5cKz3FUFgW1OoY21xEhvzgfONYtyvyNaDWDokdn4ZVLSNKVq6oiIZBPk4-ApzWPNqZvNuA0vGQ-2FX6lP-Wv0FiBJ8jj8eMMRwV-jXU5m9ePqnqc0ld8wWSgtNg7MCbvCplzFVHpVufr1G2fZaTdgS8cmVA.eVM86sf-TUunD7sz16m7ZYfSEbcv1QcJzEWAe0L72v8&amp;dib_tag=se&amp;keywords=buy+back+your+time+book&amp;qid=1771036010&amp;sprefix=buy+bac%2Caps%2C176&amp;sr=8-1&amp;linkCode=ll2&amp;tag=thingswort0e1-20&amp;linkId=02d190ba514b91dcb8fb1bcda44e6634&amp;language=en_US&amp;ref_=as_li_ss_tl">Buy Back Your Time Book</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, Matt Stauffer sits down with Adam Wathan, creator of Tailwind CSS, to talk about the very real impact AI is having on product companies, open source communities, and the broader tech landscape. Adam shares how AI has affected Tailwind’s business, including revenue shifts and the difficult decision to make layoffs.</p><p><br>They discuss the emotional weight of leading through change, the search for new opportunities in an AI-shaped world, and what it means for developer education moving forward. Adam emphasizes that while AI is reshaping how we build, developers must adapt to AI tools while maintaining the human element of software development.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://x.com/adamwathan">Adam Wathan on Twitter</a> </li><li><a href="https://tailwindcss.com/">Tailwind CSS</a> </li><li><a href="https://adams-morning-walk.transistor.fm/episodes/we-had-six-months-left">Adam’s Podcast Episode Re: Layoffs </a></li><li><a href="https://www.amazon.com/Buy-Back-Your-Time-Unstuck/dp/059342297X?crid=3EJBXCNFLZNOL&amp;dib=eyJ2IjoiMSJ9.0gGAh4KQ8YW-P-sz7n0JbDYtqBoMbVs3TV9R2imsEm2M-mCwbdURmx-asCUkLFLZ9B-UYPlaxVOfPO1u5cKz3FUFgW1OoY21xEhvzgfONYtyvyNaDWDokdn4ZVLSNKVq6oiIZBPk4-ApzWPNqZvNuA0vGQ-2FX6lP-Wv0FiBJ8jj8eMMRwV-jXU5m9ePqnqc0ld8wWSgtNg7MCbvCplzFVHpVufr1G2fZaTdgS8cmVA.eVM86sf-TUunD7sz16m7ZYfSEbcv1QcJzEWAe0L72v8&amp;dib_tag=se&amp;keywords=buy+back+your+time+book&amp;qid=1771036010&amp;sprefix=buy+bac%2Caps%2C176&amp;sr=8-1&amp;linkCode=ll2&amp;tag=thingswort0e1-20&amp;linkId=02d190ba514b91dcb8fb1bcda44e6634&amp;language=en_US&amp;ref_=as_li_ss_tl">Buy Back Your Time Book</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </content:encoded>
      <pubDate>Wed, 18 Feb 2026 09:00:00 -0500</pubDate>
      <author>Matt Stauffer</author>
      <enclosure url="https://media.transistor.fm/f750c74f/6a3cd109.mp3" length="46870582" type="audio/mpeg"/>
      <itunes:author>Matt Stauffer</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/nJer4Ju9vo1bDOrnQS0Y2myAnnBAigkeslcyKvxpLWs/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xNTdm/Mjg1Y2IzMTI1OGJi/ZDI5MzQzZWY4YmUw/M2Y5Zi5wbmc.jpg"/>
      <itunes:duration>2930</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, Matt Stauffer sits down with Adam Wathan, creator of Tailwind CSS, to talk about the very real impact AI is having on product companies, open source communities, and the broader tech landscape. Adam shares how AI has affected Tailwind’s business, including revenue shifts and the difficult decision to make layoffs.</p><p><br>They discuss the emotional weight of leading through change, the search for new opportunities in an AI-shaped world, and what it means for developer education moving forward. Adam emphasizes that while AI is reshaping how we build, developers must adapt to AI tools while maintaining the human element of software development.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a> </li><li><a href="https://tighten.com/">Tighten Website</a> </li><li><a href="https://x.com/adamwathan">Adam Wathan on Twitter</a> </li><li><a href="https://tailwindcss.com/">Tailwind CSS</a> </li><li><a href="https://adams-morning-walk.transistor.fm/episodes/we-had-six-months-left">Adam’s Podcast Episode Re: Layoffs </a></li><li><a href="https://www.amazon.com/Buy-Back-Your-Time-Unstuck/dp/059342297X?crid=3EJBXCNFLZNOL&amp;dib=eyJ2IjoiMSJ9.0gGAh4KQ8YW-P-sz7n0JbDYtqBoMbVs3TV9R2imsEm2M-mCwbdURmx-asCUkLFLZ9B-UYPlaxVOfPO1u5cKz3FUFgW1OoY21xEhvzgfONYtyvyNaDWDokdn4ZVLSNKVq6oiIZBPk4-ApzWPNqZvNuA0vGQ-2FX6lP-Wv0FiBJ8jj8eMMRwV-jXU5m9ePqnqc0ld8wWSgtNg7MCbvCplzFVHpVufr1G2fZaTdgS8cmVA.eVM86sf-TUunD7sz16m7ZYfSEbcv1QcJzEWAe0L72v8&amp;dib_tag=se&amp;keywords=buy+back+your+time+book&amp;qid=1771036010&amp;sprefix=buy+bac%2Caps%2C176&amp;sr=8-1&amp;linkCode=ll2&amp;tag=thingswort0e1-20&amp;linkId=02d190ba514b91dcb8fb1bcda44e6634&amp;language=en_US&amp;ref_=as_li_ss_tl">Buy Back Your Time Book</a> </li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </itunes:summary>
      <itunes:keywords>Tailwind CSS, Adam Wathen, AI impact, business adaptation, open source, software development, education, motivation, technology trends, future of work</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
      <podcast:person role="Guest" href="https://tailwindcss.com/" img="https://img.transistorcdn.com/GrOVLAq_-K0vfxMBZx96CwjDmkoPAE-gTumNCHVG3hs/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82M2Iy/ZDA3ZWQ0M2RiNGYz/ZWNjNmZhMWM1Zjk0/YTk3Zi5qcGc.jpg">Adam Wathan</podcast:person>
      <podcast:transcript url="https://share.transistor.fm/s/f750c74f/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Dreaming Bigger With AI - Aaron Francis</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Dreaming Bigger With AI - Aaron Francis</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">d097bce5-1822-4b52-ac2f-f2431ef4133d</guid>
      <link>https://share.transistor.fm/s/0d04649f</link>
      <description>
        <![CDATA[<p>In this episode of Pragmatic AI, host Matt Stauffer interviews Aaron Francis, a Laravel developer and co-founder of Try Hard Studios. They discuss Aaron's journey from being a software developer to an educator, the impact of AI on the development landscape, and the importance of adapting to new technologies. Aaron shares his insights on the challenges and opportunities presented by AI, the shift in developer education, and his current ventures, including faster.dev, which focuses on teaching engineers how to use AI effectively. The conversation also touches on the quality of code produced by AI and the importance of maintaining standards in software development.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a></li><li><a href="https://tighten.com/">Tighten Website</a></li><li><a href="https://x.com/aarondfrancis">Aaron Francis on Twitter</a></li><li><a href="http://aaronfrancis.com/">Aaron Francis Website</a> </li><li><a href="http://tryhardstudios.com/">Try Hard Studios</a></li><li><a href="https://faster.dev/">Faster.dev</a> </li><li><a href="https://mostlytechnical.com/">Mostly Technical Podcast</a></li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode of Pragmatic AI, host Matt Stauffer interviews Aaron Francis, a Laravel developer and co-founder of Try Hard Studios. They discuss Aaron's journey from being a software developer to an educator, the impact of AI on the development landscape, and the importance of adapting to new technologies. Aaron shares his insights on the challenges and opportunities presented by AI, the shift in developer education, and his current ventures, including faster.dev, which focuses on teaching engineers how to use AI effectively. The conversation also touches on the quality of code produced by AI and the importance of maintaining standards in software development.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a></li><li><a href="https://tighten.com/">Tighten Website</a></li><li><a href="https://x.com/aarondfrancis">Aaron Francis on Twitter</a></li><li><a href="http://aaronfrancis.com/">Aaron Francis Website</a> </li><li><a href="http://tryhardstudios.com/">Try Hard Studios</a></li><li><a href="https://faster.dev/">Faster.dev</a> </li><li><a href="https://mostlytechnical.com/">Mostly Technical Podcast</a></li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </content:encoded>
      <pubDate>Wed, 11 Feb 2026 09:00:00 -0500</pubDate>
      <author>Matt Stauffer</author>
      <enclosure url="https://media.transistor.fm/0d04649f/24a37774.mp3" length="47660728" type="audio/mpeg"/>
      <itunes:author>Matt Stauffer</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/5YkvMCMcvN9HD6lPeg2oQZcLV0cjUXVIB7CXA5p8YEw/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zNGVk/OTNjZDNkM2MyODQw/ZjBkNTExMTk5NTBi/N2U1OS5wbmc.jpg"/>
      <itunes:duration>2976</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode of Pragmatic AI, host Matt Stauffer interviews Aaron Francis, a Laravel developer and co-founder of Try Hard Studios. They discuss Aaron's journey from being a software developer to an educator, the impact of AI on the development landscape, and the importance of adapting to new technologies. Aaron shares his insights on the challenges and opportunities presented by AI, the shift in developer education, and his current ventures, including faster.dev, which focuses on teaching engineers how to use AI effectively. The conversation also touches on the quality of code produced by AI and the importance of maintaining standards in software development.</p><ul><li><a href="https://twitter.com/stauffermatt">Matt Stauffer on Twitter</a></li><li><a href="https://tighten.com/">Tighten Website</a></li><li><a href="https://x.com/aarondfrancis">Aaron Francis on Twitter</a></li><li><a href="http://aaronfrancis.com/">Aaron Francis Website</a> </li><li><a href="http://tryhardstudios.com/">Try Hard Studios</a></li><li><a href="https://faster.dev/">Faster.dev</a> </li><li><a href="https://mostlytechnical.com/">Mostly Technical Podcast</a></li></ul><p><br>-----</p><p><br>Editing and transcription sponsored by <a href="https://tighten.com/">Tighten</a>.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, software development, developer education, Aaron Francis, productivity, coding, technology, entrepreneurship, Laravel, AI tools</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://aaronfrancis.com/" img="https://img.transistorcdn.com/mvFUZe-hmkIUUaSIkChh2N1-64t41TxwCPmQc4kEJHc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82OGY4/YWFlZjAyMjA5ZmI1/ZGVmM2UxMWQ3NDVi/NTMwNi5qcGc.jpg">Aaron Francis</podcast:person>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
      <podcast:transcript url="https://share.transistor.fm/s/0d04649f/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Pragmatic AI Season One Trailer</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Pragmatic AI Season One Trailer</itunes:title>
      <itunes:episodeType>trailer</itunes:episodeType>
      <guid isPermaLink="false">ac476668-7a15-4929-b945-5e853accc483</guid>
      <link>https://share.transistor.fm/s/4d1840d3</link>
      <description>
        <![CDATA[<p>AI is *everywhere*, like it or not. Everyone's either hating or hyping. But where do you find the middle?</p><p>New podcast alert! First episode drops <strong>2/10/26</strong>. Short, practical interviews w/builders, founders, &amp; researchers using &amp; studying real-world AI.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AI is *everywhere*, like it or not. Everyone's either hating or hyping. But where do you find the middle?</p><p>New podcast alert! First episode drops <strong>2/10/26</strong>. Short, practical interviews w/builders, founders, &amp; researchers using &amp; studying real-world AI.</p>]]>
      </content:encoded>
      <pubDate>Fri, 06 Feb 2026 09:00:00 -0500</pubDate>
      <author>Matt Stauffer</author>
      <enclosure url="https://media.transistor.fm/4d1840d3/61c605a4.mp3" length="1579018" type="audio/mpeg"/>
      <itunes:author>Matt Stauffer</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/V_zv5_-3Ynn02ybJ6junKIfPQAGOmeAzKCMsav9v8zU/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80Zjgx/ZjJhMDU1MzM1MTM1/N2NkYjg4NmMyNzc3/OTc5OS5qcGc.jpg"/>
      <itunes:duration>96</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>AI is *everywhere*, like it or not. Everyone's either hating or hyping. But where do you find the middle?</p><p>New podcast alert! First episode drops <strong>2/10/26</strong>. Short, practical interviews w/builders, founders, &amp; researchers using &amp; studying real-world AI.</p>]]>
      </itunes:summary>
      <itunes:keywords>Ai</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://mattstauffer.com/" img="https://img.transistorcdn.com/McEnFEobExsGpYTLNAMKzQ9BN_PbYe0Pe1mbxQLwc-U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85NTRm/ODcwNDBhOTQxNzE1/NGQwYTBhNWZjZjBj/NjdhNS5qcGc.jpg">Matt Stauffer</podcast:person>
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