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		<title>Self-Improving Systems on AIBussin — AI applications, systems and books</title>
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				<title>A Memory Gate for AI: Policy-Bounded Acceptance in the Executable Cognitive Kernel</title>
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				<pubDate>Tue, 17 Mar 2026 09:58:14 +0000</pubDate>
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				<description>&lt;h2 id=&#34;summary&#34;&gt;Summary&lt;/h2&gt;&#xA;&lt;p&gt;Dynamic AI systems face a hidden failure mode: they can learn from their own mistakes.&#xA;If every output is allowed into memory, stochastic errors do not stay local they accumulate.&lt;/p&gt;&#xA;&lt;p&gt;In earlier posts, I argued that AI systems should not be trusted to enforce their own correctness.&lt;/p&gt;&#xA;&lt;p&gt;Modern models are stochastic. They produce correct outputs, partially correct outputs, and completely incorrect outputs, but they do not reliably distinguish between them. That means a system that stores everything it generates will eventually learn from its own mistakes.&lt;/p&gt;</description>
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