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      <title>SIMA 2 Uses Gemini and Self-Improvement to Generalize across Unseen 3D and Photorealistic Worlds</title>
      <link>https://www.infoq.com/news/2025/12/sima-2-gemini-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Game+Development-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2025/12/sima-2-gemini-agent/en/headerimage/generatedHeaderImage-1766979483818.jpg"/&gt;&lt;p&gt;Google DeepMind researchers introduced SIMA 2 (Scalable Instructable Multiworld Agent), a generalist agent built on the Gemini foundation model that can understand and act across multiple 3D virtual game environments. The SIMA 2 architecture uses a Gemini Flash-Lite model trained on a mixture of gameplay and Gemini pretraining data.&lt;/p&gt; &lt;i&gt;By Vinod Goje&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>AIOps</category>
      <category>AI Architecture</category>
      <category>Game Development</category>
      <category>Google DeepMind</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Mon, 29 Dec 2025 11:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2025/12/sima-2-gemini-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Game+Development-news</guid>
      <dc:creator>Vinod Goje</dc:creator>
      <dc:date>2025-12-29T11:05:00Z</dc:date>
      <dc:identifier>/news/2025/12/sima-2-gemini-agent/en</dc:identifier>
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