<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Corruption on The Coders Blog</title><link>https://thecodersblog.com/tag/data-corruption/</link><description>Recent content in Data Corruption on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 09 May 2026 15:57:35 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/data-corruption/index.xml" rel="self" type="application/rss+xml"/><item><title>Beware: LLMs Can Corrupt Your Documents</title><link>https://thecodersblog.com/llms-corrupting-documents-2026/</link><pubDate>Sat, 09 May 2026 15:57:35 +0000</pubDate><guid>https://thecodersblog.com/llms-corrupting-documents-2026/</guid><description>&lt;p&gt;The siren song of AI-powered productivity is deafening. We&amp;rsquo;re told that delegating tasks to Large Language Models (LLMs) will unleash unprecedented efficiency, freeing us from the drudgery of repetitive work. This vision, however, is increasingly shadowed by a stark reality: LLMs, particularly when entrusted with iterative document editing, can silently and insidiously corrupt your most valuable data. Far from being infallible assistants, they can become unwitting saboteurs, degrading meaning and introducing subtle, plausible falsehoods that are devilishly hard to detect. A recent Microsoft Research paper, &amp;ldquo;LLMs Corrupt Your Documents When You Delegate,&amp;rdquo; throws a harsh spotlight on this nascent crisis, revealing that even the most advanced frontier models are far from immune.&lt;/p&gt;</description></item></channel></rss>