mirror of
https://github.com/hanzoai/papers.git
synced 2026-10-29 07:34:31 +00:00
zeekay
277439999d
Lux Partners Limited is the Isle of Man company and does not appear on a public surface. Lux Industries Inc, a Delaware C corporation, is the one these copyright lines, citations and terms name. Lines binding the name to another legal fact — a domicile, a signed counterparty, a quoted third-party article — are left alone, because renaming those would falsify a record rather than correct one.
61 lines
2.2 KiB
TeX
61 lines
2.2 KiB
TeX
\section{Conclusion}
|
|
|
|
\label{sec:conclusion}
|
|
% ============================================================================
|
|
|
|
We have presented three consensus mechanisms for decentralized AI on Hanzo ACI:
|
|
Proof of AI Work for probabilistic inference verification with provable
|
|
economic security, GPU Cluster Consensus for Byzantine-tolerant distributed
|
|
computation, and Inference Attestation for on-chain provenance binding.
|
|
Production deployment across 240 GPU nodes demonstrates 99.97\% cheating
|
|
detection with only 6.2\% verification overhead, making honest operation the
|
|
only rational strategy for profit-maximizing GPU operators.
|
|
|
|
% ============================================================================
|
|
% BIBLIOGRAPHY
|
|
% ============================================================================
|
|
\begin{thebibliography}{15}
|
|
|
|
\bibitem{hanzoaci}
|
|
{Hanzo AI Research}.
|
|
\newblock Hanzo {ACI}: {AI} Chain Infrastructure for decentralized compute markets.
|
|
\newblock \emph{Hanzo AI Research}, December 2024.
|
|
|
|
\bibitem{hanzotokenomics}
|
|
{Hanzo AI Research}.
|
|
\newblock Hanzo Tokenomics: Token economics for {AI} infrastructure at scale.
|
|
\newblock \emph{Hanzo AI Research}, April 2026.
|
|
|
|
\bibitem{luxwhitepaper}
|
|
{Lux Industries Inc}.
|
|
\newblock Lux: A scalable multi-consensus blockchain with post-quantum cryptography.
|
|
\newblock \emph{Lux Network Technical Report}, 2024.
|
|
|
|
\bibitem{megatron}
|
|
M.~Shoeybi, M.~Patwary, R.~Puri, P.~LeGresley, J.~Casper, and B.~Catanzaro.
|
|
\newblock Megatron-{LM}: Training multi-billion parameter language models using model parallelism.
|
|
\newblock \emph{arXiv:1909.08053}, 2019.
|
|
|
|
\bibitem{byzmean}
|
|
D.~Yin, Y.~Chen, R.~Kannan, and P.~Bartlett.
|
|
\newblock Byzantine-robust distributed learning: Towards optimal statistical rates.
|
|
\newblock In \emph{Proc.\ ICML}, 2018.
|
|
|
|
\bibitem{bittensor}
|
|
{Opentensor Foundation}.
|
|
\newblock Bittensor: A peer-to-peer intelligence market.
|
|
\newblock \emph{Bittensor White Paper}, 2023.
|
|
|
|
\bibitem{ritual}
|
|
{Ritual}.
|
|
\newblock Ritual: Decentralized {AI} inference.
|
|
\newblock \emph{Ritual Documentation}, 2024.
|
|
|
|
\bibitem{gensyn}
|
|
{Gensyn}.
|
|
\newblock Gensyn: A protocol for deep learning computation.
|
|
\newblock \emph{Gensyn White Paper}, 2023.
|
|
|
|
\end{thebibliography}
|
|
|