<?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 Or Golan's Blog</title><link>https://golanor.github.io/blog/posts/</link><description>Recent content in Posts on Or Golan's Blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 03 Sep 2026 15:30:53 +0300</lastBuildDate><atom:link href="https://golanor.github.io/blog/posts/index.xml" rel="self" type="application/rss+xml"/><item><title>Being a PhD Student in the age of AI, part 1</title><link>https://golanor.github.io/blog/posts/phd-ai-part-1/</link><pubDate>Thu, 03 Sep 2026 00:00:00 +0000</pubDate><guid>https://golanor.github.io/blog/posts/phd-ai-part-1/</guid><description>&lt;p&gt;I have a love-hate relationship with AI. Mainly, after several years in industry, I relished returning to academia and being able to focus and learn things deeply. I feel that this ability erodes as I use and become dependent on AI. The starkest example here is in coding; I used to love to code, and would actively do coding exercises and learn new languages as a hobby (shoutout to &lt;a href="https://exercism.org/"&gt;https://exercism.org/&lt;/a&gt;). I barely have the patience to code anymore, as I know that practically any LLM will do a good enough job, and much faster, than I would. This led me into two directions. First, I wanted to read and learn what others are feeling and what else might change as LLMs improve. Second, I started thinking about satisfaction in the age of AI.&lt;/p&gt;</description></item></channel></rss>