Vitalik Buterin pfp
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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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
lucky
@lsankar.eth
love this initiative/approach. hope it proves effective enough to allocate more to
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Mark pfp
Mark
@dddegon
How to allocate weights is a tough nut to crack.
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joshisdead.eth pfp
joshisdead.eth
@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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Jens Ernstberger pfp
Jens Ernstberger
@0xserious
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
sebayaki.eth
@if
Oh you’re a gardener there! 🌱 32768 👏
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Vest🀄 pfp
Vest🀄
@anzvest
https://warpcast.com/anzvest/0xa240b670
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Sammhir pfp
Sammhir
@sammhirjr
@atlas summarize
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Shadow pfp
Shadow
@shadlendid
Interesting
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OkanKayaKara pfp
OkanKayaKara
@kibrisli
Super
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moneymotive pfp
moneymotive
@jainrishi2003
please help me for my education ,I need mony for this to take adission in the college please :( , eth :-0x35e3b8fbe8574eaf1ab148fdb5dcd1c23186aed0
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oakvisualz.base.eth pfp
oakvisualz.base.eth
@oakvisualz
Great
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Trịnh Ngọc pfp
Trịnh Ngọc
@ducngoc
Like
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Claudio Condor pfp
Claudio Condor
@oydual3
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
Cryptosheik
@cryptosheikk
Vituli butinic
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Magenta pfp
Magenta
@magentadao.eth
@aethernet can you please explain me @vitalik.eth post and link in laymen’s terms?
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Sasha pfp
Sasha
@shchedryk
Good point
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Bigtim pfp
Bigtim
@bigtim007
https://x.com/colt1199/status/1868008721101779276?t=8AigCLXG1UeEbYqdnjIdJQ&s=19
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Joe Bae pfp
Joe Bae
@joebaeda
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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