<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI News on TechSifted</title><link>https://techsifted.com/categories/ai-news/</link><description>Recent content in AI News on TechSifted</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 09 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://techsifted.com/categories/ai-news/index.xml" rel="self" type="application/rss+xml"/><item><title>3 Things in AI You Should Know: OpenAI Just Published 719 Math Manuscripts</title><link>https://techsifted.com/posts/3-things-ai-2026-10-09/</link><pubDate>Fri, 09 Oct 2026 00:00:00 +0000</pubDate><guid>https://techsifted.com/posts/3-things-ai-2026-10-09/</guid><description>&lt;div class="disclosure">Disclosure: TechSifted has no affiliate relationship with OpenAI, Google, or Sierra. This is editorial news coverage.&lt;/div>
&lt;p>Three things happened in AI this week that are worth your attention. None of them are hype cycles. One is a genuine surprise, one is an infrastructure move that could matter a lot, and one is a useful tool that comes with a catch you should know about.&lt;/p>
&lt;h2 id="openai-published-719-math-manuscripts-on-github">OpenAI Published 719 Math Manuscripts on GitHub&lt;/h2>
&lt;p>On October 6, OpenAI dropped a public GitHub repository containing 722 mathematical manuscripts produced by an unreleased internal model (&lt;a href="https://decrypt.co/380366/openai-secret-ai-model-cracked-hundreds-math-problems-one-prompt" target="_blank" rel="noopener">Source&lt;/a>). The papers are organized into 372 result families, each classified by mathematical discipline.&lt;/p></description></item></channel></rss>