<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recursive Self-Improvement on Eigenform Articles</title><link>https://www.eigenform.ai/insights/tags/recursive-self-improvement/</link><description>Recent content in Recursive Self-Improvement on Eigenform Articles</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 08 Sep 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://www.eigenform.ai/insights/tags/recursive-self-improvement/index.xml" rel="self" type="application/rss+xml"/><item><title>Self-Improving AI: What Has Actually Been Demonstrated</title><link>https://www.eigenform.ai/insights/self-improving-ai-what-has-actually-been-demonstrated/</link><pubDate>Tue, 08 Sep 2026 00:00:00 +0800</pubDate><guid>https://www.eigenform.ai/insights/self-improving-ai-what-has-actually-been-demonstrated/</guid><description>&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Self-improving AI describes systems that take part in their own improvement: revising their outputs, rewriting their harness, training on data they generate, or running the research that produces the next model. By 2026 the demonstrated cases are real but narrow. Each closes a loop against a verifier a human specified, over a task a human chose. Compute is not what stands between these systems and open-ended self-improvement. No system yet picks its own research direction, and once a loop moves away from a formal verifier it degrades fast.&lt;/p&gt;</description></item></channel></rss>