<?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>Ai on 罗一阳's Insights</title><link>https://yiyang92.github.io/tags/ai/</link><description>Recent content in Ai on 罗一阳's Insights</description><image><title>罗一阳's Insights</title><url>https://yiyang92.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E</url><link>https://yiyang92.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E</link></image><generator>Hugo -- 0.146.0</generator><language>en</language><lastBuildDate>Sat, 07 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://yiyang92.github.io/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>From Sound to Meaning: Leveraging Audio Language Models for Music Relevance Assessment</title><link>https://yiyang92.github.io/posts/audio-llm/from-sound-to-meaning-audio-llm-music-relevance/</link><pubDate>Sat, 07 Mar 2026 00:00:00 +0000</pubDate><guid>https://yiyang92.github.io/posts/audio-llm/from-sound-to-meaning-audio-llm-music-relevance/</guid><description>How foundation audio models and Audio LLMs bridge the gap between acoustic similarity and perceptual relevance</description></item><item><title>[AI for all] What is Intelligence?</title><link>https://yiyang92.github.io/posts/llm/what-is-intelligence-ai-for-all/</link><pubDate>Wed, 29 Jan 2025 00:00:00 +0000</pubDate><guid>https://yiyang92.github.io/posts/llm/what-is-intelligence-ai-for-all/</guid><description>&lt;h1 id="ai-for-all-what-is-intelligence-">[AI for all] What is Intelligence? 🤔&lt;/h1>
&lt;p>So what exactly is intelligence? Intelligence is what makes us &amp;ldquo;Homo sapiens&amp;rdquo; - literally wise humans, thinking beings. What makes us intellectual is the fact that we can expect that the result of our actions will lead us to achieve our goals.&lt;/p>
&lt;p>But what makes machines intelligent? The same thing - their actions should lead to achieving their goals. The question is that we set the goals, and machines learn to optimize the process of achieving these goals in the best way. And we must be absolutely sure that we set the goals correctly, otherwise we can over-optimize, especially if (when?) we invent machines that will be much smarter than us and will quite be able to optimize us too :)&lt;/p></description></item></channel></rss>