mirror of
https://github.com/hanzoai/papers.git
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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.
18 lines
932 B
TeX
18 lines
932 B
TeX
\section{Conclusion}
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Hanzo Network demonstrates that decentralized AI compute infrastructure can achieve production-grade performance while providing quantum-safe security guarantees. The integration of HLLM routing, PQC, unified runtime abstraction, and high-throughput consensus creates a platform suitable for real-world AI workloads.
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Key results:
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\begin{itemize}
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\item \textbf{9M+ blocks/second} local consensus throughput
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\item \textbf{$<$100$\mu$s} PQC operations (ML-KEM-768)
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\item \textbf{2.8ms} HLLM routing overhead
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\item \textbf{5-tier privacy model} from open to GPU TEE-I/O
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\item \textbf{20+ LLM providers} with unified interface
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\item \textbf{Native Qwen3 support} at 4096 dimensions
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\end{itemize}
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The system has been in production since September 2025 with continuous development (4,500+ commits). Future work will focus on federated learning, hardware PQC acceleration, and zero-knowledge compute verification.
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