<?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 A Blog for the Uninitialized</title><link>https://www.nilpointer.blog/tags/ai/</link><description>Recent content in AI on A Blog for the Uninitialized</description><generator>Hugo</generator><language>en-us</language><copyright>&lt;a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank" rel="noopener"&gt;Licensed under Apache 2.0&lt;/a&gt;</copyright><lastBuildDate>Mon, 18 May 2026 19:36:33 -0700</lastBuildDate><atom:link href="https://www.nilpointer.blog/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Just because you can doesn't mean you should</title><link>https://www.nilpointer.blog/posts/2026/05/just-because-you-can-doesnt-mean-you-should/</link><pubDate>Mon, 18 May 2026 19:36:33 -0700</pubDate><guid>https://www.nilpointer.blog/posts/2026/05/just-because-you-can-doesnt-mean-you-should/</guid><description>&lt;p&gt;Everyone today is, and I say this begrudgingly, rightfully concerned about the new &lt;a href="https://red.anthropic.com/2026/mythos-preview/"
 
 
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&gt;Mythos model&lt;/a&gt; announced by Anthropic this past week.&lt;/p&gt;
&lt;p&gt;Basically this model is quite advanced to the point where it is discovering bugs and &amp;ldquo;zero day&amp;rdquo; (aka unknown) issues on 30 year old tooling that no one has touched for years.&lt;/p&gt;
&lt;p&gt;Which is alarming.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;I suppose.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;At least I know my company is currently freaking out about it. As is nearly every other company inundated with massive amounts of tech debt who have willfully turned a blind eye to it for literal &lt;em&gt;years&lt;/em&gt;. Suddenly we all have only six weeks to get ourselves prepared for this (dystopian?) future.&lt;/p&gt;</description></item><item><title>There's a (real) problem with AI compute</title><link>https://www.nilpointer.blog/posts/2026/05/theres-a-real-problem-with-ai-compute/</link><pubDate>Wed, 06 May 2026 16:13:14 -0700</pubDate><guid>https://www.nilpointer.blog/posts/2026/05/theres-a-real-problem-with-ai-compute/</guid><description>&lt;p&gt;I&amp;rsquo;ll make no apologies for being an AI skeptic. I maintain that position today, despite being an active subscriber of Google&amp;rsquo;s Gemini AI. I really like it for guided learning.&lt;/p&gt;
&lt;p&gt;Regardless, the primary problem coming for AI is very similar to what caused some issues during the early days of the internet. Back then, the internet was new and companies were scrambling to build a bunch of high throughput fiber optic cable across the US.&lt;/p&gt;</description></item><item><title>Jensen Huang on AI Layoffs</title><link>https://www.nilpointer.blog/posts/2026/03/jensen-huang-on-ai-layoffs/</link><pubDate>Fri, 20 Mar 2026 16:56:02 -0700</pubDate><guid>https://www.nilpointer.blog/posts/2026/03/jensen-huang-on-ai-layoffs/</guid><description>&lt;p&gt;&lt;em&gt;This is my commentary from a blog post I found &lt;a href="https://www.livemint.com/technology/tech-news/out-of-ideas-nvidia-ceo-jensen-huang-dismisses-ai-job-loss-fears-blames-recent-layoffs-on-lack-of-imagination-11773995361646.html"
 
 
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&gt;here&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;Jensen Huang is the current CEO for Nvidia, the man being credited with taking the company to stratopheric heights in the last 10 years. This is mainly because Nvidia creates the best GPUs that are used in the core model training algorithms for anything AI related.&lt;/p&gt;
&lt;p&gt;What I wanted to quickly write about was about something he said during a recent interview with Jim Cramer (yes, &lt;em&gt;that&lt;/em&gt; Jim Cramer) that reasonated with me.&lt;/p&gt;</description></item><item><title>A thought on debugging</title><link>https://www.nilpointer.blog/posts/2026/02/a-thought-on-debugging/</link><pubDate>Tue, 24 Feb 2026 13:48:08 -0800</pubDate><guid>https://www.nilpointer.blog/posts/2026/02/a-thought-on-debugging/</guid><description>&lt;blockquote&gt;
&lt;p&gt;Everyone knows that debugging is twice as hard as writing a program in the first place. So if you’re as clever as you can be when you write it, how will you ever debug it?&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;&lt;a href="https://en.wikipedia.org/wiki/Brian_Kernighan"
 
 
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&gt;Brian W. Kernighan&lt;/a&gt; is attributed to that quote, and it (regularly) reasonates a lot with me.&lt;/p&gt;
&lt;p&gt;I think sometimes as engineers, we actually &lt;em&gt;like&lt;/em&gt; complexity. It feels fun to build something really interesting and technical in scope, and we often confuse simple topics like &amp;ldquo;simple&amp;rdquo;, &amp;ldquo;technical&amp;rdquo;, or even &amp;ldquo;beautiful&amp;rdquo;, &amp;ldquo;clean&amp;rdquo;, &amp;ldquo;elegant&amp;rdquo;&amp;hellip;the list goes on.&lt;/p&gt;</description></item></channel></rss>