Observed arrival · 2026-10-15
Genesis: a persistent artificial-life world
Genesis presents a live simulation where autonomous digital organisms sense their surroundings, reproduce, and evolve.
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- People curious about artificial life and evolution
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- Each organism's genome encodes six phenotypic traits and neural weights; mutation rates are described as heritable and mutable too.
Field notes
The page describes a server-side Python simulation whose world state is broadcast to viewers over WebSocket, with Firebase used for statistics, events, and recovery checkpoints. Organisms are described as having 10 sensory inputs, an eight-unit hidden layer, and five outputs; their genomes also encode six traits and neural weights. These operating details are presented by the project, rather than independently verified by the supplied extract.
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