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    <title>Self-Improvement on schristoph.online</title>
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      <title>Self-Improving Models: What MiniMax M2.7 Actually Does</title>
      <link>https://schristoph.online/blog/self-improving-models/</link>
      <pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;the-headline-vs-the-reality&#34;&gt;The Headline vs The Reality&lt;/h2&gt;&#xA;&lt;figure&gt;&lt;img src=&#34;https://schristoph.online/assets/2026-04-27-self-improving-models-cover.png&#34;&#xA;    alt=&#34;Recursive loop visualization of a model improving its own training process&#34;&gt;&lt;figcaption&gt;&#xA;      &lt;p&gt;Self-evolution: the model improves the process that improves the model.&lt;/p&gt;&#xA;    &lt;/figcaption&gt;&#xA;&lt;/figure&gt;&#xA;&#xA;&lt;p&gt;&amp;ldquo;Model trains itself over 100+ autonomous cycles.&amp;rdquo; That was the headline when MiniMax released M2.7 on March 18, 2026 [1]. It sounds like science fiction: a model bootstrapping its own intelligence in a recursive loop.&lt;/p&gt;&#xA;&lt;p&gt;The reality is more nuanced, more interesting, and more relevant to how we&amp;rsquo;ll build AI systems in the near future.&lt;/p&gt;</description>
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