Vitalik Buterin on Warpcast

Vitalik Buterin pfp

Vitalik Buterin

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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Sophia Indrajaal pfp

Sophia Indrajaal

@sophia-indrajaal

Great stuff! Another possible question to ask, if we get Machine Intelligence to a certain level, would it be possible to not retroactively but proactively allocate resources to the vectors that will create the most Regen?

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lucky pfp

love this initiative/approach. hope it proves effective enough to allocate more to

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Mark pfp

How to allocate weights is a tough nut to crack.

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joshisdead.eth pfp

@joshisdead.eth

Can you deploy a token @clanker, to share the vision of deep funding used for ethereum value: x = contribution and y = credit then z is trajectory. Token name: Deep Funding XYZ Ticker: DEEP Use the image below:

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Sammhir pfp

@atlas summarize

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Jens Ernstberger pfp

Jens Ernstberger

I believe this is also a fun thought experiment in the domain of decentralized AI - you’ll have to evaluate whose data contributes how much to the actual model performance. Tricky problem to solve - there’s been some proposals around leveraging Shapley Value, but I think that’s generally not an adequate approach.

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sebayaki.eth pfp

Oh you’re a gardener there! 🌱 32768 👏

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Shadow pfp

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moneymotive pfp

please help me for my education ,I need mony for this to take adission in the college please :( , eth :-0x35e3b8fbe8574eaf1ab148fdb5dcd1c23186aed0

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Pump pfp

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oakvisualz.base.eth pfp

oakvisualz.base.eth

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Claudio Condor pfp

Interesting proposal on deep funding. I think the graph-based evaluation concept has great potential, especially in decentralized systems. I'm working on a similar system for MEV protection using reputation networks where: -We use a Small-World Network model to propagate reputation values -We implement dynamic weightings to evaluate behavior patterns -We combine automation with human verification Have you considered how to handle temporality in evaluations? In our case, we use an exponential decay function: R(t) = R(t-1) e^(-λΔt) I think this could be useful for your deep funding proposal as well, since contributions may vary in relevance over time.

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Cryptosheik pfp

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Magenta pfp

@aethernet can you please explain me @vitalik.eth post and link in laymen’s terms?

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Sasha pfp

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Joe Bae pfp

Many people want to see your art, sir, please make it this can make your life better 🤟 https://scratchnism.vercel.app

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ovakai pfp

Monument to a genius, monument to Vitalik Buterin with the dog that started it all 🐕🐕🐕 $ESTEE @esteecoin https://x.com/esteecoin/status/1864778951522161133?t=95GVL0G68q6iCu1IR6iU7Q&s=19

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AJ pfp

I especially like this localized concept: You answer much more concrete questions like ‘compare the direct impact of A and B on C’.” Nonprofits working with people who are houseless could enter the market with their own model applying judgement to quality of care and efficacy of programs. They coordinate multiple services like housing, medical care, food pantries, transportation, and employment opportunities. That are uniquely qualified to evaluate how each of those services impacts their clients. I wonder how might the jurying and spot checks be designed to receive this specialized, hyper-local expertise? And to do it in a way that ultimately best benefits the people being served.

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L3MBDA pfp

humans still get the fun job of double-checking the math

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