<?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>Exp_040 on Local First AI</title><link>https://localfirstai.eu/tags/exp_040/</link><description>Recent content in Exp_040 on Local First AI</description><image><title>Local First AI</title><url>https://localfirstai.eu/images/og-default.png</url><link>https://localfirstai.eu/images/og-default.png</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 17 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://localfirstai.eu/tags/exp_040/index.xml" rel="self" type="application/rss+xml"/><item><title>Our 4B Property Model Gained 6.7 Points at Q4 and None at Q8</title><link>https://localfirstai.eu/posts/2026-10-17-checkable-reward-gain-vanished-at-q8/</link><pubDate>Sat, 17 Oct 2026 00:00:00 +0000</pubDate><guid>https://localfirstai.eu/posts/2026-10-17-checkable-reward-gain-vanished-at-q8/</guid><description>We retrained Qwen3-4B on Spanish property law with GRPO against a reward that checks the answer itself: the final line must match a closed label. Our audit found the reward not gamed. At our Q4 the trained model gained 6.7 points of exact match on 150 fresh sealed questions; at Q8 the gain was 1.3 points and not significant. The same weights move about as many answers between Q4 and Q8 as training did.</description></item></channel></rss>