<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Hamilton-Jacobi on Cognaptus</title>
    <link>https://cognaptus.com/tags/hamilton-jacobi/</link>
    <description>Recent content in Hamilton-Jacobi on Cognaptus</description>
    <generator>Hugo -- 0.145.0</generator>
    <language>en-us</language>
    <lastBuildDate>Thu, 18 Jun 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://cognaptus.com/tags/hamilton-jacobi/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>The Viscosity Budget: Why Softmax Is Not Just a Knob</title>
      <link>https://cognaptus.com/blog/2026-06-18-the-viscosity-budget-why-softmax-is-not-just-a-knob/</link>
      <pubDate>Thu, 18 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-06-18-the-viscosity-budget-why-softmax-is-not-just-a-knob/</guid>
      <description>How a Hamilton-Jacobi view of deep learning turns temperature, smoothness, robustness, scaling, and architecture into one linked design problem.</description>
    </item>
  </channel>
</rss>
