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    <title>Between Two Joels</title>
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    <description>Between Two Joels is your go-to source for making sense of AI. Hosted by Dig Insights AI experts, Joel Anderson our Chief Data Science Officer and Joel Armstrong, VP of AI, each episode explores the latest AI news and deep dives into specific topics, tools, trends, and ideas transforming business and insights. </description>
    <copyright>© 2026 Dig Insights</copyright>
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    <pubDate>Thu, 16 Jul 2026 10:48:52 -0400</pubDate>
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      <title>Between Two Joels</title>
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    <itunes:author>Dig Insights</itunes:author>
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    <itunes:summary>Between Two Joels is your go-to source for making sense of AI. Hosted by Dig Insights AI experts, Joel Anderson our Chief Data Science Officer and Joel Armstrong, VP of AI, each episode explores the latest AI news and deep dives into specific topics, tools, trends, and ideas transforming business and insights. </itunes:summary>
    <itunes:subtitle>Between Two Joels is your go-to source for making sense of AI.</itunes:subtitle>
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      <title>04. Idea Generation in the Age of AI</title>
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      <itunes:title>04. Idea Generation in the Age of AI</itunes:title>
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        <![CDATA[<p>On this episode of Between Two Joels, Joel Armstrong and Joel Anderson explore the evolution of idea generation methodology. They dig into how idea generation changed from GPT-3-era prompting to a new system that pairs large language models with classical machine learning to score and refine ideas automatically, drawing on patterns from over 300,000 tested concepts. They also break down whether Microsoft's latest layoffs are really about AI, and what the first AI-assisted ransomware attack means for cybersecurity. Plus, a game of AI trivia to close things out.</p>]]>
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        <![CDATA[<p>On this episode of Between Two Joels, Joel Armstrong and Joel Anderson explore the evolution of idea generation methodology. They dig into how idea generation changed from GPT-3-era prompting to a new system that pairs large language models with classical machine learning to score and refine ideas automatically, drawing on patterns from over 300,000 tested concepts. They also break down whether Microsoft's latest layoffs are really about AI, and what the first AI-assisted ransomware attack means for cybersecurity. Plus, a game of AI trivia to close things out.</p>]]>
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      <pubDate>Mon, 20 Jul 2026 09:51:44 -0400</pubDate>
      <author>Dig Insights</author>
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      <itunes:author>Dig Insights</itunes:author>
      <itunes:duration>1741</itunes:duration>
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        <![CDATA[<p>On this episode of Between Two Joels, Joel Armstrong and Joel Anderson explore the evolution of idea generation methodology. They dig into how idea generation changed from GPT-3-era prompting to a new system that pairs large language models with classical machine learning to score and refine ideas automatically, drawing on patterns from over 300,000 tested concepts. They also break down whether Microsoft's latest layoffs are really about AI, and what the first AI-assisted ransomware attack means for cybersecurity. Plus, a game of AI trivia to close things out.</p>]]>
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      <title>03. Synthetic Subgroup Boosting</title>
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      <itunes:title>03. Synthetic Subgroup Boosting</itunes:title>
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        <![CDATA[<p>On this episode, Joel Armstrong and Joel Anderson dig into synthetic subgroup boosting — how it works, why borrowing data from similar groups can sharpen small samples, and what the bias-variance trade-off has to do with liking cheese in Washington State. They also break down the AI news of the week, from Anthropic's release of Claude Fable Five (and the safety hype around its withheld Mythos sibling) to Apple's revamped Siri and new child safety features. Plus a trivia game to close things out.<br></p>]]>
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        <![CDATA[<p>On this episode, Joel Armstrong and Joel Anderson dig into synthetic subgroup boosting — how it works, why borrowing data from similar groups can sharpen small samples, and what the bias-variance trade-off has to do with liking cheese in Washington State. They also break down the AI news of the week, from Anthropic's release of Claude Fable Five (and the safety hype around its withheld Mythos sibling) to Apple's revamped Siri and new child safety features. Plus a trivia game to close things out.<br></p>]]>
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      <pubDate>Wed, 01 Jul 2026 10:00:00 -0400</pubDate>
      <author>Dig Insights</author>
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      <itunes:author>Dig Insights</itunes:author>
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      <itunes:summary>
        <![CDATA[<p>On this episode, Joel Armstrong and Joel Anderson dig into synthetic subgroup boosting — how it works, why borrowing data from similar groups can sharpen small samples, and what the bias-variance trade-off has to do with liking cheese in Washington State. They also break down the AI news of the week, from Anthropic's release of Claude Fable Five (and the safety hype around its withheld Mythos sibling) to Apple's revamped Siri and new child safety features. Plus a trivia game to close things out.<br></p>]]>
      </itunes:summary>
      <itunes:keywords>AI, artificial intelligence, business, technology, research, market research, insights</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>02: Accuracy of Digital Twins</title>
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      <itunes:title>02: Accuracy of Digital Twins</itunes:title>
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        <![CDATA[<p>On this episode of Between Two Joels, Dig Insights AI leaders Joel Armstrong and Joel Anderson dig into one of the most-cited papers in synthetic data research — and ask a simple question: what does 88% accurate actually mean? They unpack how digital twins are built, how accuracy gets measured, and why the headline number looks different once you understand what it's being compared to. Plus the latest AI news and a quick trivia game to close things out.</p>]]>
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        <![CDATA[<p>On this episode of Between Two Joels, Dig Insights AI leaders Joel Armstrong and Joel Anderson dig into one of the most-cited papers in synthetic data research — and ask a simple question: what does 88% accurate actually mean? They unpack how digital twins are built, how accuracy gets measured, and why the headline number looks different once you understand what it's being compared to. Plus the latest AI news and a quick trivia game to close things out.</p>]]>
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      <pubDate>Wed, 10 Jun 2026 11:29:10 -0400</pubDate>
      <author>Dig Insights</author>
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      <itunes:author>Dig Insights</itunes:author>
      <itunes:duration>1247</itunes:duration>
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        <![CDATA[<p>On this episode of Between Two Joels, Dig Insights AI leaders Joel Armstrong and Joel Anderson dig into one of the most-cited papers in synthetic data research — and ask a simple question: what does 88% accurate actually mean? They unpack how digital twins are built, how accuracy gets measured, and why the headline number looks different once you understand what it's being compared to. Plus the latest AI news and a quick trivia game to close things out.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, artificial intelligence, business, technology, research, market research, insights</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>01: System 0</title>
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      <itunes:title>01: System 0</itunes:title>
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        <![CDATA[<p>On the debut episode of Between Two Joels, Dig Insights AI leaders Joel Armstrong and Joel Anderson break down “System Zero” — a new framework for understanding how AI is reshaping consumer decision-making. All while reacting to the latest AI investment news and debating where people will (and won’t) trust AI to think for them.</p>]]>
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        <![CDATA[<p>On the debut episode of Between Two Joels, Dig Insights AI leaders Joel Armstrong and Joel Anderson break down “System Zero” — a new framework for understanding how AI is reshaping consumer decision-making. All while reacting to the latest AI investment news and debating where people will (and won’t) trust AI to think for them.</p>]]>
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      <pubDate>Tue, 26 May 2026 09:00:00 -0400</pubDate>
      <author>Dig Insights</author>
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      <itunes:author>Dig Insights</itunes:author>
      <itunes:duration>1494</itunes:duration>
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        <![CDATA[<p>On the debut episode of Between Two Joels, Dig Insights AI leaders Joel Armstrong and Joel Anderson break down “System Zero” — a new framework for understanding how AI is reshaping consumer decision-making. All while reacting to the latest AI investment news and debating where people will (and won’t) trust AI to think for them.</p>]]>
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      <itunes:keywords>AI, artificial intelligence, business, technology, research, market research, insights</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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