<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Speculative Decoding on Matt Suiche</title><link>https://www.msuiche.com/tags/speculative-decoding/</link><description>Recent content in Speculative Decoding on Matt Suiche</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 03 Sep 2026 00:00:00 +0200</lastBuildDate><atom:link href="https://www.msuiche.com/tags/speculative-decoding/index.xml" rel="self" type="application/rss+xml"/><item><title>Autoresearch: Sticky Refusals, Free Speculative Decoding, and the Invisible Quantisation Cliff</title><link>https://www.msuiche.com/posts/autoresearch-sticky-refusals-free-speculative-decoding-and-the-invisible-quantisation-cliff/</link><pubDate>Thu, 03 Sep 2026 00:00:00 +0200</pubDate><guid>https://www.msuiche.com/posts/autoresearch-sticky-refusals-free-speculative-decoding-and-the-invisible-quantisation-cliff/</guid><description>&lt;p&gt;This is the follow-up to the &lt;a href="https://www.msuiche.com/posts/autoresearch-abliteration-without-redistributing-the-model/"&gt;projection-steering post&lt;/a&gt;:
two more weeks, five model families, and a pile of measurements that killed
several of my own assumptions. The short version is that the GLP approach, ship the
&lt;em&gt;difference&lt;/em&gt;, not the model, now covers seven checkpoints from five vendors
(DeepSeek, Qwen, Z.ai, Thinking Machines, Tencent), and the
interesting findings are no longer &amp;ldquo;it works&amp;rdquo; but &lt;em&gt;where it behaves differently&lt;/em&gt;,
&lt;em&gt;what it composes with&lt;/em&gt;, and, the new thread, &lt;em&gt;what it breaks that isn&amp;rsquo;t refusal&lt;/em&gt;.&lt;/p&gt;</description></item></channel></rss>