<?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>Teaming on Shin Li</title><link>https://shin13.github.io/tags/teaming/</link><description>Recent content in Teaming on Shin Li</description><generator>Hugo</generator><language>en-US</language><copyright>Shin Li</copyright><lastBuildDate>Sat, 30 May 2026 00:47:27 +0800</lastBuildDate><atom:link href="https://shin13.github.io/tags/teaming/index.xml" rel="self" type="application/rss+xml"/><item><title>What Counts as Human-AI Collaboration?</title><link>https://shin13.github.io/notes/what-counts-as-human-ai-collaboration/</link><pubDate>Sat, 30 May 2026 00:00:00 +0800</pubDate><guid>https://shin13.github.io/notes/what-counts-as-human-ai-collaboration/</guid><description>&lt;p&gt;I keep coming back to a simple question: when I use an LLM, am I collaborating with it, or just using a tool?&lt;/p&gt;
&lt;p&gt;That distinction matters more than it first appears. If we call every AI interaction a collaboration, the word becomes too loose to be useful. But if we reserve collaboration for situations where the human and the system genuinely shape each other’s work, then the term becomes more precise — and more honest.&lt;/p&gt;</description></item></channel></rss>