<?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>Quant Research on AI + Quant Engineering</title><link>https://miasyster.github.io/en/tags/quant-research/</link><description>Recent content in Quant Research on AI + Quant Engineering</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 08 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://miasyster.github.io/en/tags/quant-research/index.xml" rel="self" type="application/rss+xml"/><item><title>Cross-Model Review Is Architecture, Not Heuristic</title><link>https://miasyster.github.io/en/posts/cross-model-review-is-architecture/</link><pubDate>Fri, 08 May 2026 00:00:00 +0000</pubDate><guid>https://miasyster.github.io/en/posts/cross-model-review-is-architecture/</guid><description>Single-LLM self-reflection has a structural blind spot — the model tends to confirm its own output. QuantGPT enforces a hard rule in factor-mine SKILL Phase 0.5: Claude must consult DeepSeek before designing a new factor family. Not a suggestion, a hard rule. This isn&amp;rsquo;t redundancy — it&amp;rsquo;s the antidote to structural bias.</description></item></channel></rss>