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    <title>Gradient Descent</title>
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    <description><![CDATA[<p class="PDq2pG_selectionAnchorContainer"><strong>Gradient Descent</strong> is a podcast for people asking better questions about emerging technology.<span class="PDq2pG_selectionAnchor"></span></p>
<p>Hosted by RavenTek's Chris Riordan, Brett Lucas, and Brett Haupt, the show explores artificial intelligence, cybersecurity, leadership, and software development through thoughtful conversations that challenge assumptions rather than reinforce them.</p>
<p>We aren't interested in repeating the latest buzzwords or predicting that every new technology will save the world or destroy it. Instead, we explore the space between the hype and the fear, sharing practical perspectives for leaders navigating an increasingly complex world.</p>]]></description>
    <pubDate>Fri, 07 Aug 2026 00:00:00 -0400</pubDate>
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    <language>en</language>
        <copyright>Copyright 2026 All rights reserved.</copyright>
    <category>Technology</category>
    <ttl>1440</ttl>
    <itunes:type>episodic</itunes:type>
          <itunes:summary>The AI podcast for skeptics and spooks that cuts through the hype to examine the tradeoffs, risks, and power shifts behind today’s biggest AI developments.</itunes:summary>
        <itunes:author>RavenTek Studios</itunes:author>
<itunes:category text="Technology" />
    <itunes:owner>
        <itunes:name>RavenTek Studios</itunes:name>
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        <title>Gradient Descent</title>
        <link>https://gradientdescent.podbean.com</link>
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    <item>
        <title>04. Promptcraft: How We Actually Use AI</title>
        <itunes:title>04. Promptcraft: How We Actually Use AI</itunes:title>
        <link>https://gradientdescent.podbean.com/e/promptcraft-how-we-actually-use-ai/</link>
                    <comments>https://gradientdescent.podbean.com/e/promptcraft-how-we-actually-use-ai/#comments</comments>        <pubDate>Fri, 07 Aug 2026 00:00:00 -0400</pubDate>
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                                    <description><![CDATA[<p class="PDq2pG_selectionAnchorContainer">Everyone talks about AI. Almost nobody talks about how they actually use it.</p>
<p>In this episode of Gradient Descent, Chris Riordan, Brett Lucas, and guest Guy Waybright compare their personal AI workflows, from governance files and context management to coding agents, testing, and multi-model orchestration.</p>
<p>The surprising takeaway is that there isn't one right way to work with AI. The best workflow is the one that matches how you think.</p>
<p>Whether you're building software, managing projects, or just trying to get more out of ChatGPT, this conversation offers practical ideas you can apply today.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="PDq2pG_selectionAnchorContainer">Everyone talks about AI. Almost nobody talks about how they actually use it.</p>
<p>In this episode of Gradient Descent, Chris Riordan, Brett Lucas, and guest Guy Waybright compare their personal AI workflows, from governance files and context management to coding agents, testing, and multi-model orchestration.</p>
<p>The surprising takeaway is that there isn't one right way to work with AI. The best workflow is the one that matches how you think.</p>
<p>Whether you're building software, managing projects, or just trying to get more out of ChatGPT, this conversation offers practical ideas you can apply today.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/g88ur59vinn5mufe/GD_EP004_Promptcraft_Audio8ov92.mp3" length="93655866" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Everyone talks about AI. Almost nobody talks about how they actually use it.
In this episode of Gradient Descent, Chris Riordan, Brett Lucas, and guest Guy Waybright compare their personal AI workflows, from governance files and context management to coding agents, testing, and multi-model orchestration.
The surprising takeaway is that there isn't one right way to work with AI. The best workflow is the one that matches how you think.
Whether you're building software, managing projects, or just trying to get more out of ChatGPT, this conversation offers practical ideas you can apply today.]]></itunes:summary>
        <itunes:author>RavenTek Studios</itunes:author>
        <itunes:explicit>true</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3901</itunes:duration>
                <itunes:episode>5</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>03. Fortress vs. Fire: Can AI Defend Against AI?</title>
        <itunes:title>03. Fortress vs. Fire: Can AI Defend Against AI?</itunes:title>
        <link>https://gradientdescent.podbean.com/e/03-fortress-vs-fire-can-ai-defend-against-ai/</link>
                    <comments>https://gradientdescent.podbean.com/e/03-fortress-vs-fire-can-ai-defend-against-ai/#comments</comments>        <pubDate>Fri, 10 Jul 2026 16:17:34 -0400</pubDate>
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                                    <description><![CDATA[<p class="PDq2pG_selectionAnchorContainer">What happens when artificial intelligence becomes both the attacker and the defender?</p>
<p>As AI accelerates cyber threats, organizations face a difficult question: should they fight AI with even more AI, or double down on proven security principles like Zero Trust?</p>
<p>In this episode of Gradient Descent, Chris Riordon, Brett Lucas, Brett Haupt, and Ryan Sheehan debate where AI belongs in modern cybersecurity. They explore agentic AI, prompt injection, AI-powered vulnerability discovery, offensive automation, and why human oversight may become even more important as machines get faster.</p>
<p>Rather than predicting doom, the conversation focuses on how organizations can adopt AI responsibly while protecting the systems that matter most.</p>
<p>Topics include:</p>
<ul>
<li>AI attacking AI</li>
<li>Prompt injection and emerging threats</li>
<li>Zero Trust for AI agents</li>
<li>Human vs. machine decision making</li>
<li>The future of AI-enabled cyber defense</li>
</ul>
]]></description>
                                                            <content:encoded><![CDATA[<p class="PDq2pG_selectionAnchorContainer">What happens when artificial intelligence becomes both the attacker and the defender?</p>
<p>As AI accelerates cyber threats, organizations face a difficult question: should they fight AI with even more AI, or double down on proven security principles like Zero Trust?</p>
<p>In this episode of <em>Gradient Descent</em>, Chris Riordon, Brett Lucas, Brett Haupt, and Ryan Sheehan debate where AI belongs in modern cybersecurity. They explore agentic AI, prompt injection, AI-powered vulnerability discovery, offensive automation, and why human oversight may become even more important as machines get faster.</p>
<p>Rather than predicting doom, the conversation focuses on how organizations can adopt AI responsibly while protecting the systems that matter most.</p>
<p>Topics include:</p>
<ul>
<li>AI attacking AI</li>
<li>Prompt injection and emerging threats</li>
<li>Zero Trust for AI agents</li>
<li>Human vs. machine decision making</li>
<li>The future of AI-enabled cyber defense</li>
</ul>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/kmuxkvnbz53e6nd9/GD_EP003_Fortress_vs_Fire_Audioaqk9c.mp3" length="74455899" type="audio/mpeg"/>
        <itunes:summary><![CDATA[What happens when artificial intelligence becomes both the attacker and the defender?
As AI accelerates cyber threats, organizations face a difficult question: should they fight AI with even more AI, or double down on proven security principles like Zero Trust?
In this episode of Gradient Descent, Chris Riordon, Brett Lucas, Brett Haupt, and Ryan Sheehan debate where AI belongs in modern cybersecurity. They explore agentic AI, prompt injection, AI-powered vulnerability discovery, offensive automation, and why human oversight may become even more important as machines get faster.
Rather than predicting doom, the conversation focuses on how organizations can adopt AI responsibly while protecting the systems that matter most.
Topics include:

AI attacking AI
Prompt injection and emerging threats
Zero Trust for AI agents
Human vs. machine decision making
The future of AI-enabled cyber defense
]]></itunes:summary>
        <itunes:author>RavenTek Studios</itunes:author>
        <itunes:explicit>true</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3100</itunes:duration>
                <itunes:episode>4</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>02. Apocaloptimism: Are We Coding Our Way Into a Cybersecurity Crisis?</title>
        <itunes:title>02. Apocaloptimism: Are We Coding Our Way Into a Cybersecurity Crisis?</itunes:title>
        <link>https://gradientdescent.podbean.com/e/02-apocaloptimism/</link>
                    <comments>https://gradientdescent.podbean.com/e/02-apocaloptimism/#comments</comments>        <pubDate>Fri, 10 Jul 2026 15:08:41 -0400</pubDate>
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                                    <description><![CDATA[<p>Everyone is celebrating how AI is accelerating software development. Far fewer people are asking what happens when security can't keep up.</p>
<p>In this episode of Gradient Descent, the team introduces the idea of Apocaloptimism. It is the belief that AI has incredible potential while recognizing that its rapid adoption may create serious challenges before things stabilize.</p>
<p>The conversation explores two trends moving toward each other. AI is making it faster than ever to build software, while AI-powered offensive capabilities are lowering the barrier to sophisticated cyberattacks. What happens when those two curves finally intersect?</p>
<p>Join the discussion as the team explores:</p>
<ul>
<li>
<p>AI-assisted software development and "vibe coding"</p>
</li>
<li>
<p>Why software quality and security may be falling behind AI adoption</p>
</li>
<li>
<p>How offensive AI is changing the cybersecurity landscape</p>
</li>
<li>
<p>Zero Trust, governance, and responsible AI implementation</p>
</li>
<li>
<p>Whether we've already reached the tipping point, or if the biggest disruption is still ahead</p>
</li>
</ul>
<p>Not everyone agrees. That's what makes the conversation worth having.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Everyone is celebrating how AI is accelerating software development. Far fewer people are asking what happens when security can't keep up.</p>
<p>In this episode of <em>Gradient Descent</em>, the team introduces the idea of Apocaloptimism. It is the belief that AI has incredible potential while recognizing that its rapid adoption may create serious challenges before things stabilize.</p>
<p>The conversation explores two trends moving toward each other. AI is making it faster than ever to build software, while AI-powered offensive capabilities are lowering the barrier to sophisticated cyberattacks. What happens when those two curves finally intersect?</p>
<p>Join the discussion as the team explores:</p>
<ul>
<li>
<p>AI-assisted software development and "vibe coding"</p>
</li>
<li>
<p>Why software quality and security may be falling behind AI adoption</p>
</li>
<li>
<p>How offensive AI is changing the cybersecurity landscape</p>
</li>
<li>
<p>Zero Trust, governance, and responsible AI implementation</p>
</li>
<li>
<p>Whether we've already reached the tipping point, or if the biggest disruption is still ahead</p>
</li>
</ul>
<p>Not everyone agrees. That's what makes the conversation worth having.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/r4ixs5xpp25gq5mh/GD_EP002_Apocaloptimism_Audio70wh2.mp3" length="88874795" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Everyone is celebrating how AI is accelerating software development. Far fewer people are asking what happens when security can't keep up.
In this episode of Gradient Descent, the team introduces the idea of Apocaloptimism. It is the belief that AI has incredible potential while recognizing that its rapid adoption may create serious challenges before things stabilize.
The conversation explores two trends moving toward each other. AI is making it faster than ever to build software, while AI-powered offensive capabilities are lowering the barrier to sophisticated cyberattacks. What happens when those two curves finally intersect?
Join the discussion as the team explores:


AI-assisted software development and "vibe coding"


Why software quality and security may be falling behind AI adoption


How offensive AI is changing the cybersecurity landscape


Zero Trust, governance, and responsible AI implementation


Whether we've already reached the tipping point, or if the biggest disruption is still ahead


Not everyone agrees. That's what makes the conversation worth having.]]></itunes:summary>
        <itunes:author>RavenTek Studios</itunes:author>
        <itunes:explicit>true</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3698</itunes:duration>
                <itunes:episode>3</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>01. Pilot</title>
        <itunes:title>01. Pilot</itunes:title>
        <link>https://gradientdescent.podbean.com/e/pilot/</link>
                    <comments>https://gradientdescent.podbean.com/e/pilot/#comments</comments>        <pubDate>Fri, 10 Jul 2026 14:05:36 -0400</pubDate>
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                                    <description><![CDATA[<p class="PDq2pG_selectionAnchorContainer">Before we knew exactly what Gradient Descent would become, we sat down, turned on the microphones, and started talking.</p>
<p>This conversation became the foundation for everything that followed.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="PDq2pG_selectionAnchorContainer">Before we knew exactly what Gradient Descent would become, we sat down, turned on the microphones, and started talking.</p>
<p>This conversation became the foundation for everything that followed.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/q4dx8xdt9sakcgkk/GD_EP001_Pilot_Audio8ya8e.mp3" length="110830384" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Before we knew exactly what Gradient Descent would become, we sat down, turned on the microphones, and started talking.
This conversation became the foundation for everything that followed.]]></itunes:summary>
        <itunes:author>RavenTek Studios</itunes:author>
        <itunes:explicit>true</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>4615</itunes:duration>
                <itunes:episode>2</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
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