mirror of
https://github.com/hanzoai/papers.git
synced 2026-11-02 13:32:30 +00:00
zeekay
0d1d121451
Fix shared/ include paths to ../shared/ for 55 subdirectory papers so
that hanzocover.sty and lstlang.tex resolve when building from each
paper's own directory (the build pattern used by latexmk per paper).
Build fixes:
- hanzo-operative/sections/03-screen-understanding-pipeline.tex: move
\COMMENT from after \FOR{...} onto the \STATE line so the algorithmic
env doesn't mis-parse.
- hanzo-network-architecture (abstract + sections 04, 12, 13): escape
unicode mu (U+03BC) as $\mu$ for pdflatex.
- ntt-transform/sections/08-benchmark-results.tex: same mu escape.
All 55 Tier-2/3 papers now build clean with latexmk -pdf.
68 lines
3.2 KiB
TeX
68 lines
3.2 KiB
TeX
% Hanzo ACI: AI Chain Infrastructure for Decentralized Compute Markets
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\documentclass[11pt,twocolumn]{article}
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\usepackage{../shared/hanzocover}
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\usepackage{amsmath, amssymb, amsthm}
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\usepackage{mathtools}
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\usepackage{bm}
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\usepackage{graphicx}
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\usepackage{booktabs}
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\usepackage{hyperref}
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\usepackage{enumitem}
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\usepackage{algorithm}
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\usepackage{algpseudocode}
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\usepackage{xcolor}
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\usepackage{float}
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\usepackage{subcaption}
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\usepackage{multirow}
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\usepackage{listings}
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\input{../shared/lstlang}
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\usepackage[numbers]{natbib}
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\hypersetup{colorlinks=true,linkcolor=black,citecolor=blue,urlcolor=blue}
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\newtheorem{theorem}{Theorem}
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\newtheorem{lemma}[theorem]{Lemma}
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\newtheorem{definition}{Definition}
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\newtheorem{proposition}[theorem]{Proposition}
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\newtheorem{corollary}[theorem]{Corollary}
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\lstset{
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basicstyle=\ttfamily\small,
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breaklines=true,
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frame=single,
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numbers=left,
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numberstyle=\tiny,
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xleftmargin=2em,
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}
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\title{Hanzo ACI: AI Chain Infrastructure for Decentralized Compute Markets}
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\author{
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Antje Worring, Zach Kelling \quad
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David Wei \quad
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Marcus Chen \\
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\textit{Hanzo AI Research} \\
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\texttt{[email protected]}
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}
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\date{December 2024}
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\begin{document}
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\hanzocoverpage
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\begin{abstract}
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We present \textbf{Hanzo ACI (AI Chain Infrastructure)}, a blockchain architecture purpose-built for decentralized AI compute markets. While general-purpose blockchains (Ethereum, Solana) can host compute marketplace smart contracts, their transaction throughput, finality latency, and verification mechanisms are ill-suited for the unique requirements of AI workloads: high-bandwidth data transfer, GPU-intensive computation, probabilistic verification, and multi-party job orchestration. ACI introduces three key innovations: (i) \emph{Proof of AI (PoAI)}, a novel consensus mechanism that combines TEE attestations with statistical verification games to verify AI computation results without re-executing the full workload, achieving 99.7\% detection rate of malicious providers at 0.3\% verification overhead; (ii) a \emph{multi-consensus architecture} that separates the fast-path (job matching, resource allocation) from the settlement-path (payment finalization, dispute resolution), achieving 200ms job matching latency with 2-second settlement finality; and (iii) an \emph{AI-native virtual machine (AIVM)} that supports tensor operations, model loading, and inference scheduling as first-class blockchain operations. We evaluate ACI on a testnet of 100 validator nodes, 500 worker nodes, and 1,000 simulated clients, demonstrating 12,000 job matches per second, 99.97\% settlement accuracy, and 73\% lower gas costs compared to equivalent Ethereum L2 implementations. We present formal security proofs for PoAI against collusion, free-riding, and Sybil attacks, and analyze the economic incentive structure that ensures honest participation.
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\end{abstract}
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\input{sections/01-introduction}
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\input{sections/02-system-architecture}
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\input{sections/03-proof-of-ai-poai}
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\input{sections/04-multi-consensus-architecture}
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\input{sections/05-ai-native-virtual-machine-aivm}
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\input{sections/06-security-analysis}
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\input{sections/07-token-economics}
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\input{sections/08-evaluation}
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\input{sections/09-related-work}
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\input{sections/10-discussion}
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\input{sections/99-conclusion}
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\end{document}
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