<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Faithfulness on Saurav Panigrahi</title><link>https://sauravpanigrahi.com/tags/faithfulness/</link><description>Recent content in Faithfulness on Saurav Panigrahi</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://sauravpanigrahi.com/tags/faithfulness/feed.xml" rel="self" type="application/rss+xml"/><item><title>Plausible vs Faithful</title><link>https://sauravpanigrahi.com/notes/plausible-vs-faithful/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://sauravpanigrahi.com/notes/plausible-vs-faithful/</guid><description>&lt;p&gt;Plausible reasoning sounds right.&lt;/p&gt;
&lt;p&gt;Faithful reasoning preserves the structure of the thing being reasoned about.&lt;/p&gt;
&lt;p&gt;That distinction matters because many failures do not look like nonsense. They look coherent. They explain themselves well. They use the right vocabulary. They produce an answer that could have been true.&lt;/p&gt;
&lt;p&gt;The problem is that &amp;ldquo;could have been true&amp;rdquo; is a weak standard.&lt;/p&gt;
&lt;p&gt;In writing, plausibility shows up as an argument that flows but hides a missing step. In research, it shows up as a result that has a clean story but rests on a proxy. In AI systems, it shows up as an answer that sounds grounded while drifting away from the actual process that produced it.&lt;/p&gt;</description></item></channel></rss>