<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Academia &amp; Industry on C.CUI's Log</title><link>https://cuicaihao.github.io/tags/academia--industry/</link><description>Recent content in Academia &amp; Industry on C.CUI's Log</description><generator>Hugo</generator><language>en-AU</language><lastBuildDate>Sun, 02 Aug 2026 07:00:00 +1000</lastBuildDate><atom:link href="https://cuicaihao.github.io/tags/academia--industry/index.xml" rel="self" type="application/rss+xml"/><item><title>When a CS PhD No Longer Automatically Appreciates: Choices, Training, and Pathways in the AI Era</title><link>https://cuicaihao.github.io/posts/2026-08-02-the-question-of-phd-value-anxiety-ai-and-my-judgment/</link><pubDate>Sun, 02 Aug 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-08-02-the-question-of-phd-value-anxiety-ai-and-my-judgment/</guid><description>This article explores the evolving value of a PhD, particularly in computer science, amidst growing anxiety and the rapid advancements of AI. It distinguishes between AI&amp;rsquo;s ability to pass tests and genuine research capabilities, emphasizing that while AI automates routine tasks, human skills in problem definition, experimental design, and critical validation remain paramount. The author concludes that a worthwhile PhD program in the AI era must cultivate independent research abilities, transferable skills, and diverse career opportunities, rather than relying on the degree&amp;rsquo;s inherent premium.</description></item></channel></rss>