In the fast-moving world of blockchain and crypto, decentralized autonomous organizations (DAOs) promised a new way to make decisions without bosses or central control. But today, many DAOs face big problems like low voter turnout and power in the hands of a few big token holders. Ethereum co-founder Vitalik Buterin has a fresh idea to fix this:
DAOs are groups run by smart contracts on blockchains like Ethereum. Members use tokens to propose and vote on ideas, from funding projects to changing rules. Sounds great, right? But in practice, issues pile up.
One month ago, Buterin pointed out these flaws on X (formerly Twitter). He said DAOs are drifting toward old-style central control. Now, he offers a tech fix using AI.
Buterin’s plan swaps delegation to big holders for personal AI agents. Each user deploys their own large language model (LLM), like a custom ChatGPT. This AI trains on the user’s past messages, values, and preferences.
Why? “There are many thousands of decisions to make, involving many domains of expertise,” Buterin wrote. “Most people don’t have the time or skill to be experts in even one, let alone all of them. So what can we do? We use personal LLMs to solve the attention problem.”
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Privacy is key in blockchain, where everything is public by default. Buterin’s proposal tackles two privacy layers.
ZKPs are a crypto superpower. They verify facts without revealing details, perfect for fair voting.
Generative AI makes spamming proposals easy. Buterin’s fix? Prediction markets. Users (or their AIs) bet on if a proposal will pass.
AI stewards could auto-bet based on their training, making markets even smarter.
Imagine a DAO hiring staff. Human review takes weeks and exposes resumes publicly. With AI stewards in TEEs, agents score candidates privately and vote. Only top picks go public.
Or legal disputes: AIs analyze contracts in MPC without doxxing parties.
This isn’t just voting. It’s AI-powered expertise at scale. DAOs could tackle complex fields like security audits or grant reviews without hiring experts.
Building this isn’t simple. Key hurdles:
| Challenge | Solution |
|---|---|
| AI Training Data | Use user messages and values securely. |
| Secure Compute | MPC, TEEs like Intel SGX or Ethereum’s future layers. |
| ZKP Scalability | Improving tools like zk-SNARKs. |
| AI Bias | Fine-tune on diverse data; human override. |
Projects like Aragon and Snapshot already experiment with delegation. Adding AI could supercharge them. Ethereum’s roadmap, with ZK and verifiability, fits perfectly.
Critics worry about AI control. But personal AIs align with users, unlike centralized models. Plus, humans stay in the loop for big calls.
This vision comes as AI-blockchain fusion heats up. From decentralized compute wars (like Cardano vs. Cysic) to secure data tools, the pieces are falling into place.
Vitalik Buterin’s
Will DAOs adopt it? Early tests could come soon. Stay tuned as crypto evolves.
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