<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>UVSM Publications</title><link>https://uvsmpublications.com/questions/can-a-sufficiently-advanced-artificial-general-intelligence-be-reliably-controlled/</link><description>Scholarly publisher of books, formal proofs, and whitepapers</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>UVSM Publications LLC</copyright><atom:link href="https://uvsmpublications.com/questions/can-a-sufficiently-advanced-artificial-general-intelligence-be-reliably-controlled/index.xml" rel="self" type="application/rss+xml"/><item><title>On the Uncontainability of Artificial General Intelligence</title><link>https://uvsmpublications.com/publications/agi-uncontainability/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://uvsmpublications.com/publications/agi-uncontainability/</guid><description>&lt;!-- **[PLACEHOLDER — Full text or extended abstract to be provided by Forrest Landry]** --&gt;
&lt;!-- **[PLACEHOLDER — Publication date (2026-06-01) is provisional. Forrest to confirm. Abstract below also needs Forrest's review for accuracy.]** --&gt;
&lt;p&gt;This work presents a formal impossibility proof demonstrating that beyond a certain threshold of complexity, the behavior of a fully autonomous general intelligence cannot be reliably predicted or constrained. The argument draws on results analogous to Rice&amp;rsquo;s theorem and the dynamics of emergent complexity, establishing that alignment guarantees are formally impossible for systems exceeding human-level generality.&lt;/p&gt;</description></item></channel></rss>