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Restructured from flat .tex/.pdf files into per-paper subdirectories. Added Antje Worring as co-author on all papers. Synced PDFs to pdfs/ for download site.
62 lines
1.2 KiB
TeX
62 lines
1.2 KiB
TeX
\section{Future Developments}
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\subsection{Fractional NFTs}
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Planned implementation of NFT fractionalization:
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\begin{equation}
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NFT \rightarrow \{f_1, f_2, ..., f_n\} : \sum_{i=1}^{n} f_i = 1
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\end{equation}
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enabling:
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\begin{itemize}
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\item Improved liquidity for high-value NFTs
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\item Fractional ownership
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\item Enhanced price discovery
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\item Index fund creation
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\end{itemize}
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\subsection{NFT Lending Protocol}
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Collateralized lending with:
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\begin{equation}
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LTV = \frac{L_{amount}}{V_{collateral}} \leq LTV_{max}
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\end{equation}
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where $LTV_{max}$ varies by:
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\begin{itemize}
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\item Collection blue-chip status
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\item Historical volatility
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\item Liquidity depth
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\item Oracle confidence
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\end{itemize}
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\subsection{AI-Powered Features}
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Machine learning integration for:
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\begin{itemize}
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\item Price prediction models
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\item Rarity scoring optimization
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\item Fraud detection
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\item Personalized recommendations
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\item Market trend analysis
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\end{itemize}
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\subsection{DAO Governance}
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Transition to decentralized governance:
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\begin{equation}
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\text{Proposal} \rightarrow \text{Vote} \rightarrow \text{Timelock} \rightarrow \text{Execute}
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\end{equation}
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with quadratic voting to prevent whale dominance:
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\begin{equation}
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V_{power} = \sqrt{T_{holdings}}
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\end{equation}
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