<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>v37 — research</title><description>Lab notes from v37: reproducibility recipes, infrastructure write-ups, research.</description><link>https://v37.ai/</link><language>en-us</language><item><title>Deterministic Fine-Tuning on Dual MI100s</title><link>https://v37.ai/research/deterministic-stack-mi100/</link><guid isPermaLink="true">https://v37.ai/research/deterministic-stack-mi100/</guid><description>What it actually takes to make a Qwen3.6-MoE LoRA train reproducibly on AMD MI100s. Three patches, one well-known invariant, and why the same inputs really do produce the same weights.</description><pubDate>Mon, 27 Apr 2026 01:00:00 GMT</pubDate><category>reproducibility</category><category>training</category><category>rocm</category><category>qwen</category><category>moe</category><author>v37</author></item></channel></rss>