<?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>Posts on Xin Sky Li</title><link>https://lixin4sky.github.io/posts/</link><description>Recent content in Posts on Xin Sky Li</description><generator>Hugo -- 0.152.2</generator><language>en-us</language><lastBuildDate>Mon, 03 Nov 2025 00:00:00 +0800</lastBuildDate><atom:link href="https://lixin4sky.github.io/posts/index.xml" rel="self" type="application/rss+xml"/><item><title>Memory of AI and Humans</title><link>https://lixin4sky.github.io/posts/memory/</link><pubDate>Mon, 03 Nov 2025 00:00:00 +0800</pubDate><guid>https://lixin4sky.github.io/posts/memory/</guid><description>&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;Humans are shifting from memorizing knowledge itself to memorizing how to obtain knowledge — the methods and channels.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;Compared with AI, humans are better at using knowledge and being creative. For now, AI still lacks strong abilities in knowledge integration and utilization, and its creativity is limited.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;AI systems centered on LLMs are memorizing knowledge itself, and their storage capacity far exceeds that of humans.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;AI systems centered on LLMs can already solve many problems in virtual environments and possess a certain level of tool-use capability.&lt;/p&gt;</description></item></channel></rss>