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coral.engine

distributed evolutionary computation, gossip propagation, quorum-weighted consensus, and the 75/25 pipeline model. how the network actually works.

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distributed evolutionary computation

coral is built around a single core idea: a mesh of independent machines, given a shared fitness function and a lightweight consensus mechanism, can collaboratively produce and refine complex structured outputs over time. no single node is the brain. the intelligence is emergent.

each miner independently evolves a population of candidate structures. candidates are mutated, benchmarked, and scored. the best candidates survive into the next generation. but the crucial difference from single-machine evolution is propagation: miners continuously gossip their best candidates to peers. the network's population is the union of all miners' local populations, propagating through the mesh.

this means a lucky mutation on one node anywhere in the world can reach every other node within seconds. the network searches the candidate space in parallel, with every node contributing independently and the gossip layer aggregating discoveries in near-real-time.

the epoch boundary is the coordination point. when the epoch timer expires, the network votes on the best candidate it has collectively seen. the winner becomes the genesis genome for the next epoch — the evolutionary base from which the next generation is mutated. this creates a lineage: a directed chain of winning genomes, each one derived from the last.