<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>OLMo — USASI news</title>
    <link>https://unitedstatesofamericasuperintelligence.com/open/olmo/</link>
    <atom:link href="https://unitedstatesofamericasuperintelligence.com/open/olmo/feed.xml" rel="self" type="application/rss+xml"/>
    <description>Dated, sourced news items in the USASI catalog that mention OLMo. Independent project. Not a United States government website.</description>
    <language>en-us</language>
    <lastBuildDate>Thu, 01 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>Ai2 releases OLMo-core 3, its open training library, with mixture-of-experts support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-olmo-core-3/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-olmo-core-3/</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>Ai2 released version 3 of OLMo-core, the PyTorch training library behind its Olmo models, on October 1, 2026. The release redesigns the library's mixture-of-experts training system, adding expert and pipeline parallelism, a distributed optimizer, grouped matrix multiplication for experts, and support for the MXFP8 number format; Ai2 says it is designed to scale mixture-of-experts training into the trillion-parameter range. The code is licensed under Apache 2.0, and the repository includes Ai2's official training scripts for Olmo 3.</description>
    </item>
  </channel>
</rss>
