Vitalik Buterin
@vitalik.eth
Deep funding combines two ideas: 1. Value as a graph: instead of asking "how much did X contribute to humanity?", ask "how much of the credit for Y belongs to X?" 2. Distilled human judgement: an open market of AIs fills in all the weights, human jury randomly spot-checks them https://x.com/TheDevanshMehta/status/1867600164502089925 (1) has been a growing paradigm recently, for good reason. Contribution is hard to measure in the abstract: if you ask people how much they would pay to save N birds, they answer $80 for N=2000 and N=200000. "Local" questions like "is A or B more valuable to C?" are much more tractable. (2) is based on ideas in my info finance post: https://vitalik.eth.limo/general/2024/11/09/infofinance.html#info-finance-for-distilled-human-judgement . Anyone can use any methods (eg. AI) to suggest weights for *all* edges, a human jury does detailed analysis on a random subset. The submissions that are most compatible with the jury answers decide the final output. https://deepfunding.org/
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adheryanprm.eth
@adheryanprm
"Value as a Graph" Approach This idea is very interesting because it tries to overcome the fundamental challenge of measuring the contribution of individuals or entities to collective outcomes. By changing the question from "what is the value of X's contribution to humanity?" to “what share of Y's results should be credited to X?”, this approach provides a more structured and contextual way to assess contribution. This relationship-based approach also aligns with how humans understand impact locally—looking at direct, specific relationships rather than trying to measure abstract values that are often biased or inaccurate.
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