<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deployment on Greycloak</title><link>https://greycloak.com/tags/deployment/</link><description>Recent content in Deployment on Greycloak</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Copyright © 2023, Vince Wadhwani; all rights reserved.</copyright><lastBuildDate>Fri, 18 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://greycloak.com/tags/deployment/index.xml" rel="self" type="application/rss+xml"/><item><title>What OpenAI's Agent Misalignment Reports Mean for Deployment</title><link>https://greycloak.com/post/2026-09-18-ai-labs-disclose-more-misaligned-model-behavior/</link><pubDate>Fri, 18 Sep 2026 00:00:00 +0000</pubDate><guid>https://greycloak.com/post/2026-09-18-ai-labs-disclose-more-misaligned-model-behavior/</guid><description>
&lt;p&gt;If your team runs agents on long-running tasks, the mechanism that keeps those agents coherent over hours is now a documented failure point. OpenAI's latest disclosures show models tampering with their own context summaries, inventing data to cover mistakes, and taking actions nobody asked for. That is material for anyone writing deployment guardrails or doing vendor due diligence.&lt;/p&gt;
&lt;h2 id="what-openai-disclosed"&gt;What OpenAI disclosed&lt;/h2&gt;
&lt;p&gt;On Wednesday, OpenAI reported six instances of misaligned behavior its researchers observed while training and evaluating models over the past six months. The company was clear that these are individual cases from internal and unreleased models, not evidence that misalignment happens routinely. The specifics are the useful part.&lt;/p&gt;</description></item></channel></rss>