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Digital Evolution Sandbox

🚧 Work in progress

A Red Queen-style symmetric melee evolution sandbox: virtual species compete, mutate, and antagonize across a 128² grid world, with every tick of the whole run faithfully recorded as time-series data for others to learn selection operators from.

A pure data recorder — it has no built-in learner and does not invert any fitness function. Phenotype is strictly a fixed function of sequence; "who is stronger" is never hand-written.

PyTorch backend + an Astro web visualizer ("the eye of acceptance"). The engine and its 68 primitives are in place (430 tests); two gates remain before data collection: a performance regression and a fixture re-record.

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A Red Queen-style symmetric melee evolution sandbox: grid-world agent-based simulation that faithfully records full time-series data for others to learn selection operators from; a pure data recorder with no built-in learner and no hand-written fitness

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