<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI on Shirin Manzari</title><link>https://shirin-manzari.github.io/tags/ai/</link><description>Recent content in AI on Shirin Manzari</description><generator>Hugo</generator><language>en-us</language><managingEditor>shirin.manzari@gmail.com (Shirin Manzari)</managingEditor><webMaster>shirin.manzari@gmail.com (Shirin Manzari)</webMaster><copyright>Copyright © Shirin Manzari</copyright><lastBuildDate>Thu, 17 Sep 2026 00:00:00 +0330</lastBuildDate><atom:link href="https://shirin-manzari.github.io/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>How Do I Feel About AI in 2026?</title><link>https://shirin-manzari.github.io/blog/how-do-i-feel-about-ai-in-2026/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0330</pubDate><author>shirin.manzari@gmail.com (Shirin Manzari)</author><guid>https://shirin-manzari.github.io/blog/how-do-i-feel-about-ai-in-2026/</guid><description>&lt;p&gt;Well, at first, I wasn’t one of those people who welcomed AI with open arms. I absolutely hated those overwhelming, busy, and grotesque pictures people made of themselves with AI.&lt;/p&gt;
&lt;p&gt;I gave AI chatbots a few chances, but they weren’t that good at the time. I had also used a few AI assistants for coding before the actual boom, so I wasn’t that hyped about AI. Actually, I kind of got mad; not because AI was getting better, but because people started to actually use it for everything in the wrong way.&lt;/p&gt;</description></item><item><title>Bigger Isn’t Always Better When It Comes to Context Windows</title><link>https://shirin-manzari.github.io/blog/bigger-is-not-always-better-context-window/</link><pubDate>Sun, 21 Jun 2026 00:00:00 +0330</pubDate><author>shirin.manzari@gmail.com (Shirin Manzari)</author><guid>https://shirin-manzari.github.io/blog/bigger-is-not-always-better-context-window/</guid><description>&lt;p&gt;If one model supports a 30,000-token context window and another supports a million, the second one probably sounds better to you. More context means access to more information, so it must be smarter? Well, not always.&lt;/p&gt;</description></item><item><title>Why Are Women Missing from the Data? (fa)</title><link>https://shirin-manzari.github.io/blog/gender-data-gap/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0330</pubDate><author>shirin.manzari@gmail.com (Shirin Manzari)</author><guid>https://shirin-manzari.github.io/blog/gender-data-gap/</guid><description/></item><item><title>Learning from Inequality: Is AI Really Unbiased? (fa)</title><link>https://shirin-manzari.github.io/blog/bias-in-ai/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0330</pubDate><author>shirin.manzari@gmail.com (Shirin Manzari)</author><guid>https://shirin-manzari.github.io/blog/bias-in-ai/</guid><description/></item><item><title>Tokens, Not Words</title><link>https://shirin-manzari.github.io/blog/tokens-not-words/</link><pubDate>Thu, 20 Nov 2025 00:00:00 +0330</pubDate><author>shirin.manzari@gmail.com (Shirin Manzari)</author><guid>https://shirin-manzari.github.io/blog/tokens-not-words/</guid><description>&lt;p&gt;These days, tokens feel like a new kind of money. We count and budget them, and look for ways to spend fewer. At the same time, AI companies compete to offer us larger context windows, bigger token limits, and models capable of devouring enormous amounts of text to burn thousands of tokens in a few seconds.&lt;/p&gt;</description></item><item><title>Why Do Digital Assistants Have Female Voices? (fa)</title><link>https://shirin-manzari.github.io/blog/female-voices-digital-assistants/</link><pubDate>Mon, 06 Oct 2025 00:00:00 +0330</pubDate><author>shirin.manzari@gmail.com (Shirin Manzari)</author><guid>https://shirin-manzari.github.io/blog/female-voices-digital-assistants/</guid><description/></item></channel></rss>