<?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>Gpu-Kernel on 兜忆轩 | Cedric's Compiler Notes</title><link>https://douyixuan.github.io/tags/gpu-kernel/</link><description>Recent content in Gpu-Kernel on 兜忆轩 | Cedric's Compiler Notes</description><image><title>兜忆轩 | Cedric's Compiler Notes</title><url>https://douyixuan.github.io/images/papermod-cover.png</url><link>https://douyixuan.github.io/images/papermod-cover.png</link></image><generator>Hugo -- 0.146.0</generator><language>en-us</language><lastBuildDate>Wed, 26 Aug 2026 08:00:00 +0800</lastBuildDate><atom:link href="https://douyixuan.github.io/tags/gpu-kernel/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Native Digest 2026-08-26</title><link>https://douyixuan.github.io/posts/ai-native/2026-08-26/</link><pubDate>Wed, 26 Aug 2026 08:00:00 +0800</pubDate><guid>https://douyixuan.github.io/posts/ai-native/2026-08-26/</guid><description>今天两篇都偏生产级 Agent 系统：NVIDIA AVO 展示 persistent memory、supervisor 和 grounded feedback 如何把 frontier model 变成长周期自治 harness，并已用于 Blackwell GPU kernel 优化；Databricks AI SRE 则展示如何把 incident debugging 拆成可组合的 agentic runbook、确定性检查和证据可追溯的 context layer。</description></item></channel></rss>