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24 lines
1.5 KiB
TeX
24 lines
1.5 KiB
TeX
\section{Conclusion}
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Proof of AI is credible only when the verification claim and the consequence authority are
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both narrow. Exact-integer execution gives heterogeneous hardware a deterministic
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statement: a GPU may perform the original workload while a CPU validator checks sampled
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matrix relations in quadratic rather than cubic time. A versioned kernel profile defines
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the arithmetic, and a canonical transcript binds that arithmetic to the admitted job,
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ordered graph, artifacts, outputs, availability, meter, provider, destination, and nonce.
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Neither a signature, a plurality of attestations, nor cross-language byte parity proves
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useful work by itself.
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The reference implementations and adversarial fixtures show that this construction is
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practical and that fail-closed economic gates can be tested. They are not yet a live
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consensus deployment. Production activation still requires normal model-path emission,
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data availability, full graph coverage, A-Chain admission and finalized-proof wiring,
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nullifier and metering enforcement, and audit-gated P3Q settlement. Shadow and replay
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stages can compare evidence, but must have no mint authority.
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The resulting omnichain design has one source of truth. A-Chain alone validates eligible
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useful work and authorizes \textsc{AI}; Z-Chain settles the finalized transition through
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P3Q; Lux Quasar provides post-quantum finality; Zoo and other chains consume receipts and
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may pay local rewards exactly once. This preserves the useful-work claim while avoiding a
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different ``proof of whatever'' on every destination chain.
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