<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom"><title>Ju Lin's AI Weblog: Context</title><subtitle>An independent research notebook on AI engineering, agents, models and the systems around them.</subtitle><id>https://julin.ai/atom/tags/context/index.xml</id><link rel="self" type="application/atom+xml" href="https://julin.ai/atom/tags/context/index.xml"/><link rel="alternate" type="text/html" href="https://julin.ai/tags/context/"/><author><name>Ju Lin</name></author><updated>2026-10-23T00:00:00+13:00</updated><entry><title>More Knowledge ≠ Smarter LLM</title><id>https://julin.ai/2026/10/23/context-window-limitations/</id><link rel="alternate" type="text/html" href="https://julin.ai/2026/10/23/context-window-limitations/"/><published>2026-10-23T00:00:00+13:00</published><updated>2026-10-23T00:00:00+13:00</updated><category term="field-notes"/><category term="agents"/><category term="context"/><content type="html">&lt;p&gt;Putting more knowledge into an LLM&amp;rsquo;s context window does not make the model smarter. The context window is limited. Increasing knowledge in context degrades performance.&lt;/p&gt;
&lt;p&gt;Only the relevant information matters—and only what&amp;rsquo;s needed for each turn.&lt;/p&gt;
&lt;p&gt;I tested &lt;a href="https://github.com/google-research/harness2"&gt;harness2&lt;/a&gt; recently. Some tasks went from ~3 minutes to 30 minutes. Steps failed. The LLM needed more tokens to diagnose and retry. Overall success rate stayed the same.&lt;/p&gt;
&lt;p&gt;The lesson: agent self-evolving is promising but has a long way to go. Carefully selecting what the agent sees is still more important than giving it everything.&lt;/p&gt;</content></entry></feed>