A symbolic code is mapped by an interpreter into a controller whose trajectories are filtered by selection. A renormalization-like interpreter flow equation mathematically captures how chaotic, multiscale interactions are coarse-grained from early physics into stable chemical laws. Symbol condensation occurs when replication fidelity and selective advantage cross a quantitative threshold, enabling digital heredity. A proto-hypercode—rules that lower effective error or raise adaptive leverage—can speed major evolutionary transitions. We formalize stages S0–S10 (from physics to interstellar) with entry inequalities and simple dynamics for system maturity κ, yielding testable predictions across domains: K-dwarf stars reach abiogenesis earlier than G and far earlier than unmitigated M dwarfs; non-stationary niches favor larger regulatory hypercodes; cultural bandwidth and scientific protocol intensity exhibit critical thresholds; and mature technosignatures should be structured (error-corrected) rather than merely bright.
Jan Vorel (Thu,) studied this question.