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📝 Refine weight derivation mechanisms
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Deep Funding.md
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Deep Funding.md
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1. A mechanism that generates an up-to-date and comprehensive DAG of relevant dependencies given a source node
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2. A mechanism that fills the graph with relevant weights. These weights represent the latent item utilities. There can be many ways of getting to them!
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1. Aggregating human preferences (polls, pairwise comparisons, ...)
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2. Using prediction markets
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3. Getting weights from an AI model
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4. Collaborative Filtering
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5. Having experts fill weights manually
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- Aggregating human preferences (polls, pairwise comparisons, ...)
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- Using prediction markets
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- Getting weights from an AI model
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- Collaborative Filtering
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- Having experts fill weights manually
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3. A mechanism that takes that weight vector as input and distributes money to the projects
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This problem touches data, mechanism design, and open source! Also, each layer can be optimized and iterated independently.