<?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>Versioning on AI + Quant Engineering</title><link>https://miasyster.github.io/en/tags/versioning/</link><description>Recent content in Versioning on AI + Quant Engineering</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 03 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://miasyster.github.io/en/tags/versioning/index.xml" rel="self" type="application/rss+xml"/><item><title>If Research Isn't Reproducible, It Isn't Research</title><link>https://miasyster.github.io/en/posts/atomic-versioning/</link><pubDate>Fri, 03 Apr 2026 00:00:00 +0000</pubDate><guid>https://miasyster.github.io/en/posts/atomic-versioning/</guid><description>The most common lie in ML research is &amp;rsquo;the results looked great last time.&amp;rsquo; What code was used last time? What data version? What parameters? Nobody can say. I used filesystem transactions (temp directory → atomic rename) to create immutable snapshots of every iteration, turning &amp;rsquo;last time&amp;rsquo;s results&amp;rsquo; from a memory into a queryable fact.</description></item></channel></rss>