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		<title>Regression Tuner on AIBussin — AI applications, systems and books</title>
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				<title>Thoughts of Algorithms</title>
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				<pubDate>Mon, 23 Jun 2025 11:10:59 +0100</pubDate>
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				<description>&lt;blockquote&gt;&#xA;&lt;p&gt;How a self-evolving AI learns to reflect, score, and rewrite its own reasoning&lt;/p&gt;&#xA;&lt;/blockquote&gt;&#xA;&lt;h2 id=&#34;-summary&#34;&gt;🧪 Summary&lt;/h2&gt;&#xA;&lt;p&gt;What if an AI could think not just solve problems, but reevaluate its beliefs in the face of new information?&lt;/p&gt;&#xA;&lt;p&gt;In this post, we introduce a system that does exactly that. At the core of our pipeline is a lightweight scoring model called MR.Q, responsible for evaluating ideas and choosing the best ones. But when it encounters a new domain, a new goal, or a shift in task format, it doesn’t freeze it adapts.&lt;/p&gt;</description>
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