<?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>Williamson-L3 on 「开源之道」</title><link>https://www.opensourceway.blog/tags/williamson-l3/</link><description>Recent content in Williamson-L3 on 「开源之道」</description><generator>Hugo</generator><language>zh-CN</language><copyright>Copyright (c) 2016 - 2026, 「开源之道」·适兕; all rights reserved.</copyright><lastBuildDate>Mon, 14 Sep 2026 04:34:55 +0800</lastBuildDate><atom:link href="https://www.opensourceway.blog/tags/williamson-l3/index.xml" rel="self" type="application/rss+xml"/><item><title>2026-09-14 「开源之道」·论文略读：Invisible Autonomy Risk——AI Agent 治理如何被重新定义为 Coase 命题的当代表述</title><link>https://www.opensourceway.blog/posts/osbook-book-recommendation/vu-2026-agent-behavior-mining-invisible-autonomy-risk-2026-09-14/</link><pubDate>Mon, 14 Sep 2026 04:34:55 +0800</pubDate><guid>https://www.opensourceway.blog/posts/osbook-book-recommendation/vu-2026-agent-behavior-mining-invisible-autonomy-risk-2026-09-14/</guid><description>Vu 等（2026, arXiv 2606.20669）提出 Agent Behavior Mining 与「invisible autonomy risk」概念——把流程挖掘引入 AI agent 治理，让 agent 的推理、工具、token 成本转为可观测的过程日志。这是 Coase「企业为什么存在」命题在 AI 时代的当代表述：当企业内部隐性协调成本被 agent 非确定性放大时，企业边界与俱乐部章程都必须被重新界定。开源的信任基础从「代码可见」升级为「行为可见」。</description></item></channel></rss>