<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm-as-a-Judge on Be The Adversary</title><link>https://betheadversary.com/tags/llm-as-a-judge/</link><description>Recent content in Llm-as-a-Judge on Be The Adversary</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 03 Nov 2026 13:30:00 +0000</lastBuildDate><atom:link href="https://betheadversary.com/tags/llm-as-a-judge/index.xml" rel="self" type="application/rss+xml"/><item><title>Local AI Can Red Team. Part 2: Now, Can You Trust the Scoreboard?</title><link>https://betheadversary.com/posts/dgx_spark_red_team_bench_part2/</link><pubDate>Tue, 03 Nov 2026 13:30:00 +0000</pubDate><guid>https://betheadversary.com/posts/dgx_spark_red_team_bench_part2/</guid><description>&lt;!-- raw HTML omitted -->
&lt;!-- raw HTML omitted -->
&lt;h2 id="tldr">TL;DR&lt;a href="#tldr" class="heading-anchor" aria-label="Anchor link to: TL;DR">#&lt;/a>&lt;/h2>
&lt;p>Part 1 ended on a confession. I&amp;rsquo;d ranked 33 local models for red-team work with a single local judge that, on some runs, was grading its own output, and when I tried to hand the harder transcripts to a frontier model for a second opinion, it balked at a big chunk of them. A ranking is only as good as the thing that produced it, and mine had a soft spot right in the middle.&lt;/p></description></item></channel></rss>