<?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 Radiator's Thoughts</title><link>https://pkradiator.github.io/tags/ai/</link><description>Recent content in AI on Radiator's Thoughts</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 10 Jul 2026 18:57:27 +0000</lastBuildDate><atom:link href="https://pkradiator.github.io/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Predictions on AI (read Transformers)</title><link>https://pkradiator.github.io/posts/predictions-ai/</link><pubDate>Fri, 10 Jul 2026 18:57:27 +0000</pubDate><guid>https://pkradiator.github.io/posts/predictions-ai/</guid><description>&lt;p>For the past few weeks I&amp;rsquo;ve been thinking about transformers&lt;sup id="fnref:1">&lt;a href="#fn:1" class="footnote-ref" role="doc-noteref">1&lt;/a>&lt;/sup> and there limitations (also propelled by my job which has me working closely with mlsys). Before I give you my take on the current state of AI let me give a quick disclaimer.&lt;/p>
&lt;blockquote>
&lt;p>&lt;strong>Disclaimer:&lt;/strong> While I know the architecture and workings of neural networks in general, and transformers in particular, I am no &lt;a href="https://en.wikipedia.org/wiki/Mechanistic_interpretability">Mechanistic Interpretability&lt;/a> expert or even versed enough ,to my liking ofcourse, ahmm (Imposter), to be making this claims.&lt;/p></description></item></channel></rss>