Ethereum cofounder Vitalik Buterin proposed a technical overhaul of decentralized autonomous organizations (DAOs), calling for using private synthetic intelligence brokers to privately solid votes on behalf of customers and assist scale digital governance.
The plan, printed on social media platform X one month after Buterin criticized DAOs for drifting into low participation and energy centralization, goals to shift customers away from delegating votes to giant token holders.
As an alternative, people would deploy their very own AI mannequin, skilled on their previous messages and said values, to vote on the 1000’s of selections DAOs face.
“There are various 1000’s of selections to make, involving many domains of experience, and most of the people haven’t got the time or ability to be consultants in even one, not to mention all of them.” Buterin wrote. “So what can we do? We use private LLMs to resolve the eye downside.”
First is privateness of content material, making certain delicate information stays confidential. AI brokers would function inside safe environments akin to multi-party computation (MPC) or trusted execution environments (TEEs), enabling them to course of non-public information with out leaking it to the general public blockchain.
Second is the anonymity of the participant. Buterin referred to as for using zero-knowledge proofs (ZKPs), a cryptographic device that permits customers to show they’re eligible to vote with out revealing their pockets handle or how they voted.
This guards in opposition to coercion, bribery, and whale watching, the place smaller voters mimic the choices of huge token holders.
These AI stewards would automate routine governance participation and flag solely key points for human assessment.
To filter out low-quality or spammy proposals, an rising downside as generative AI floods open boards, Buterin suggests launching prediction markets. In these, brokers may wager on the chance that proposals can be accepted.
Good bets would earn payouts, incentivizing worthwhile contributions whereas penalizing noise.
Buterin additionally referred to as for privacy-preserving instruments akin to multi-party computation and trusted execution environments, enabling AI brokers to evaluate delicate information, akin to job purposes or authorized disputes, with out exposing it on a public blockchain.
Learn extra: From 2016 hack to $150M Endowment: the DAO’s second act focuses on Ethereum safety
