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    <title>DEV Community: Dominik Vytisk</title>
    <description>The latest articles on DEV Community by Dominik Vytisk (@dominik_vytisk_acab9538fb).</description>
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      <title>DEV Community: Dominik Vytisk</title>
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      <title>I built an artificial life simulation where nothing is scripted - predators had to evolve</title>
      <dc:creator>Dominik Vytisk</dc:creator>
      <pubDate>Mon, 10 Aug 2026 05:26:56 +0000</pubDate>
      <link>https://dev.to/dominik_vytisk_acab9538fb/i-built-an-artificial-life-simulation-where-nothing-is-scripted-predators-had-to-evolve-26ji</link>
      <guid>https://dev.to/dominik_vytisk_acab9538fb/i-built-an-artificial-life-simulation-where-nothing-is-scripted-predators-had-to-evolve-26ji</guid>
      <description>&lt;p&gt;Organisms get a genome, an energy budget, senses and a small recurrent neural net. That’s it - no if (predator) flee, no herbivore/carnivore classes, no flocking rule. Foraging, predation and scavenging have to pay for themselves in energy or they don’t happen.&lt;/p&gt;

&lt;p&gt;The part I didn’t expect: the eight communication channels start with no meaning assigned, and the sim measures what they end up correlating with. In long runs, the strongest channel hits r ≈ 0.4 against the context it’s emitted in. Hundreds of learned-behaviour lineages also outlive the organism that originated them.&lt;/p&gt;

&lt;p&gt;Runs in the browser, with WebGPU and a Canvas2D fallback. What would you throw at it to break it?&lt;/p&gt;

&lt;p&gt;&lt;a href="https://github.com/dominikvytisk/life-simulation" rel="noopener noreferrer"&gt;Github Repo&lt;/a&gt;&lt;/p&gt;

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      <category>ai</category>
      <category>neuralnetwork</category>
      <category>typescript</category>
      <category>react</category>
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