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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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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oakvisualz.base.eth pfp
oakvisualz.base.eth
@oakvisualz
Great
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Trịnh Ngọc pfp
Trịnh Ngọc
@ducngoc
Like
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Roman V pfp
Roman V
@romanstill
I find it kinda funny that the 2015 study on the efficiency of prediction markets to estimate research reproducibility you referred to in your info finance post, later failed to be reproduced: https://replicationindex.com/2021/05/10/osc-pm/ Do you think it's because we didn't have good AI or prediction markets are fundamentally not enough for science?
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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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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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ovakai
@ovakai.eth
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
AJ 🧬
@awedjob
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
L3MBDA
@l3mbda
humans still get the fun job of double-checking the math
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sebayaki.eth
@if
Oh you’re a gardener there! 🌱 32768 👏
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Quelz🎩 ↑
@quelz.eth
@aethernet sun this up and explain like I’m 5
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Vandal
@vandal
Pump our bags Ser
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