<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:media="http://search.yahoo.com/mrss/" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <atom:link href="https://feeds.megaphone.fm/NPTNI5318980612" rel="self" type="application/rss+xml"/>
    <title>Linearization</title>
    <link>https://cms.megaphone.fm/channel/NPTNI5318980612</link>
    <language>en</language>
    <copyright>Copyright 2026 Inception Point AI</copyright>
    <description>Felix Mercer explores linearization—the mathematical technique of approximating curves with straight lines. Discover where this powerful shortcut illuminates reality, where it fails, and what sophisticated tools mathematicians deploy when the world won't cooperate.

For more content like this, visit QuietPlease.ai

This content was created in partnership and with the help of Artificial Intelligence AI.</description>
    <image>
      <url>https://megaphone.imgix.net/podcasts/e5a74782-4d9f-11f1-9ca2-6f659acc5ae8/image/de7d37c127d2360dee671762d1aeac95.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress</url>
      <title>Linearization</title>
      <link>https://cms.megaphone.fm/channel/NPTNI5318980612</link>
    </image>
    <itunes:explicit>no</itunes:explicit>
    <itunes:type>episodic</itunes:type>
    <itunes:subtitle/>
    <itunes:author>Inception Point AI</itunes:author>
    <itunes:summary>Felix Mercer explores linearization—the mathematical technique of approximating curves with straight lines. Discover where this powerful shortcut illuminates reality, where it fails, and what sophisticated tools mathematicians deploy when the world won't cooperate.

For more content like this, visit QuietPlease.ai

This content was created in partnership and with the help of Artificial Intelligence AI.</itunes:summary>
    <content:encoded>
      <![CDATA[Felix Mercer explores linearization—the mathematical technique of approximating curves with straight lines. Discover where this powerful shortcut illuminates reality, where it fails, and what sophisticated tools mathematicians deploy when the world won't cooperate.

For more content like this, visit QuietPlease.ai

This content was created in partnership and with the help of Artificial Intelligence AI.]]>
    </content:encoded>
    <itunes:owner>
      <itunes:name>Inception Point AI</itunes:name>
      <itunes:email>info@inceptionpoint.ai</itunes:email>
    </itunes:owner>
    <itunes:image href="https://megaphone.imgix.net/podcasts/e5a74782-4d9f-11f1-9ca2-6f659acc5ae8/image/de7d37c127d2360dee671762d1aeac95.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
    <itunes:category text="Science">
      <itunes:category text="Mathematics"/>
    </itunes:category>
    <itunes:category text="Education">
    </itunes:category>
    <item>
      <title>Linearization - Uncover the patterns with Felix Mercer</title>
      <link>https://player.megaphone.fm/NPTNI2737816471</link>
      <description>Join host Felix Mercer as he explores linearization, the mathematical trick that turns curves into straight lines. Discover where this seductive simplification works beautifully, where it fails catastrophically, and what happens when we finally embrace the curves we've been ignoring.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.</description>
      <pubDate>Thu, 16 Apr 2026 21:04:48 -0000</pubDate>
      <itunes:episodeType>trailer</itunes:episodeType>
      <itunes:author>Inception Point AI</itunes:author>
      <itunes:subtitle/>
      <itunes:summary>Join host Felix Mercer as he explores linearization, the mathematical trick that turns curves into straight lines. Discover where this seductive simplification works beautifully, where it fails catastrophically, and what happens when we finally embrace the curves we've been ignoring.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.</itunes:summary>
      <content:encoded>
        <![CDATA[Join host Felix Mercer as he explores linearization, the mathematical trick that turns curves into straight lines. Discover where this seductive simplification works beautifully, where it fails catastrophically, and what happens when we finally embrace the curves we've been ignoring.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.]]>
      </content:encoded>
      <itunes:duration>35</itunes:duration>
      <guid isPermaLink="false"><![CDATA[https://api.spreaker.com/episode/71381135]]></guid>
      <enclosure url="https://traffic.megaphone.fm/NPTNI2737816471.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Linearization - What Comes After the Straight Line</title>
      <link>https://player.megaphone.fm/NPTNI8315311387</link>
      <description>Join AI host Felix Mercer as he explores catastrophic linear model failures—from the 1907 Quebec Bridge collapse to the 2008 financial crisis. Learn diagnostic tools like Variance Inflation Factor and Durbin-Watson tests, discover Taylor series expansions and spline methods, and understand why abandoning straight-line thinking requires courage and better mathematics.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.</description>
      <pubDate>Thu, 16 Apr 2026 21:04:46 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Inception Point AI</itunes:author>
      <itunes:subtitle/>
      <itunes:summary>Join AI host Felix Mercer as he explores catastrophic linear model failures—from the 1907 Quebec Bridge collapse to the 2008 financial crisis. Learn diagnostic tools like Variance Inflation Factor and Durbin-Watson tests, discover Taylor series expansions and spline methods, and understand why abandoning straight-line thinking requires courage and better mathematics.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.</itunes:summary>
      <content:encoded>
        <![CDATA[Join AI host Felix Mercer as he explores catastrophic linear model failures—from the 1907 Quebec Bridge collapse to the 2008 financial crisis. Learn diagnostic tools like Variance Inflation Factor and Durbin-Watson tests, discover Taylor series expansions and spline methods, and understand why abandoning straight-line thinking requires courage and better mathematics.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.]]>
      </content:encoded>
      <itunes:duration>1897</itunes:duration>
      <guid isPermaLink="false"><![CDATA[https://api.spreaker.com/episode/71381134]]></guid>
      <enclosure url="https://traffic.megaphone.fm/NPTNI8315311387.mp3?updated=1778707014" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Linearization - The Catastrophe of Straight-Line Thinking</title>
      <link>https://player.megaphone.fm/NPTNI8592646898</link>
      <description>Felix Mercer explores how linear models can catastrophically mislead when applied to curved realities like stock markets, manufacturing costs, and population growth. He reveals how our brain's bias toward straight-line thinking creates disasters when we forget approximations have limits.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.</description>
      <pubDate>Thu, 16 Apr 2026 21:04:41 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Inception Point AI</itunes:author>
      <itunes:subtitle/>
      <itunes:summary>Felix Mercer explores how linear models can catastrophically mislead when applied to curved realities like stock markets, manufacturing costs, and population growth. He reveals how our brain's bias toward straight-line thinking creates disasters when we forget approximations have limits.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.</itunes:summary>
      <content:encoded>
        <![CDATA[Felix Mercer explores how linear models can catastrophically mislead when applied to curved realities like stock markets, manufacturing costs, and population growth. He reveals how our brain's bias toward straight-line thinking creates disasters when we forget approximations have limits.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.]]>
      </content:encoded>
      <itunes:duration>1984</itunes:duration>
      <guid isPermaLink="false"><![CDATA[https://api.spreaker.com/episode/71381132]]></guid>
      <enclosure url="https://traffic.megaphone.fm/NPTNI8592646898.mp3?updated=1778707112" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Linearization - The Tangent Line Bargain</title>
      <link>https://player.megaphone.fm/NPTNI9875680289</link>
      <description>Felix Mercer explores the tangent line bargain in calculus—how linearization replaces complex curves with simple lines near a point. Through examples like square root functions and sine approximations, he reveals why this shortcut works locally but fails when stretched too far, exposing curvature's inevitable revenge.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.</description>
      <pubDate>Thu, 16 Apr 2026 21:04:35 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Inception Point AI</itunes:author>
      <itunes:subtitle/>
      <itunes:summary>Felix Mercer explores the tangent line bargain in calculus—how linearization replaces complex curves with simple lines near a point. Through examples like square root functions and sine approximations, he reveals why this shortcut works locally but fails when stretched too far, exposing curvature's inevitable revenge.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.</itunes:summary>
      <content:encoded>
        <![CDATA[Felix Mercer explores the tangent line bargain in calculus—how linearization replaces complex curves with simple lines near a point. Through examples like square root functions and sine approximations, he reveals why this shortcut works locally but fails when stretched too far, exposing curvature's inevitable revenge.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI.]]>
      </content:encoded>
      <itunes:duration>2063</itunes:duration>
      <guid isPermaLink="false"><![CDATA[https://api.spreaker.com/episode/71381130]]></guid>
      <enclosure url="https://traffic.megaphone.fm/NPTNI9875680289.mp3?updated=1778706956" length="0" type="audio/mpeg"/>
    </item>
  </channel>
</rss>
