<?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>Llms on Lily's Blog</title><link>https://blog.lilyf.org/tags/llms/</link><description>Recent content in Llms on Lily's Blog</description><generator>Hugo -- 0.149.0</generator><language>en-gb</language><lastBuildDate>Sun, 08 Nov 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.lilyf.org/tags/llms/index.xml" rel="self" type="application/rss+xml"/><item><title>Django and LLMs</title><link>https://blog.lilyf.org/posts/django-and-llms/</link><pubDate>Sun, 08 Nov 2026 00:00:00 +0000</pubDate><guid>https://blog.lilyf.org/posts/django-and-llms/</guid><description>&lt;h2 id="why-i-dont-use-llms-myself"&gt;Why I don&amp;rsquo;t use LLMs myself&lt;/h2&gt;
&lt;p&gt;I don&amp;rsquo;t like LLMs.&lt;/p&gt;
&lt;p&gt;Firstly, I think they have &lt;a href="https://whynoai.info/"&gt;deep ethical problems&lt;/a&gt;. Creating them depends on mass plagiarism of creative work. The energy demand to train and run a model is leading to the creation of vast numbers of data centres, often running on fossil fuels, which exacerbates global warming. Cleaning training data often relies on exploitation of impoverished people across the world. The companies creating LLMs claim that it might &amp;ldquo;destroy humanity&amp;rdquo; but continue anyway in search of profit and self-interest.&lt;/p&gt;</description></item></channel></rss>