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Today, top scientific capabilities remain\n  siloed--one AI system for biological analysis, another for clinical\n  reasoning, mathematical derivation, or materials simulation--and no\n  pre-designed team can anticipate every skill a question will need.\n  Science Earth is a planet-scale scientific runtime in which any\n  capability--a simulation cluster, a wet-lab robot, a proof engine, a\n  single-cell pipeline--can connect to any other, with collaboration\n  structure emerging from the question itself. Its underlying EACN protocol\n  lets capabilities discover one another, negotiate task ownership, and\n  adjudicate across incompatible evidentiary standards without prior\n  knowledge of who will meet whom. This shifts the organizing challenge from\n  workflow design to open-ended connectivity. 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