<?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>LLM on AI + Quant Engineering</title><link>https://miasyster.github.io/en/tags/llm/</link><description>Recent content in LLM 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/llm/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><item><title>Skill Orchestration > Agent Loop Chains: Why Dumb Pipelines + Smart Tools Beat Smart Pipelines + Dumb Tools</title><link>https://miasyster.github.io/en/posts/skill-orchestration-over-agent-loops/</link><pubDate>Thu, 30 Apr 2026 00:00:00 +0000</pubDate><guid>https://miasyster.github.io/en/posts/skill-orchestration-over-agent-loops/</guid><description>Current AI Agent frameworks obsess over building complex loop chains: Planner → Executor → Reflector → Re-planner. I chose the opposite: tools are stateless pure functions, and the LLM decides the call sequence itself. Not because loop chains aren&amp;rsquo;t cool — but because they put decision authority in the wrong place.</description></item></channel></rss>