papers/zoo-consensus/sections/99-conclusion.tex

\section{Conclusion}


\Quasar{} hybrid consensus provides Zoo Network with post-quantum finality at sub-second latency for 1,000-validator sets. The key insight is that GPU hardware, already required for Zoo's AI inference workloads, can be co-opted for consensus verification at negligible marginal cost ($< 0.01\%$ GPU memory, $< 4\%$ latency overhead from dual-path execution). The 10x BLS batch speedup and parallel \Corona{} verification make post-quantum security practical today, not contingent on future quantum threats.

All protocol properties---safety, liveness, and batch correctness---are formally verified in Lean~4, providing machine-checked guarantees beyond informal arguments.

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\end{thebibliography}