Vitalik Revisits Ethereum and AI: Opposes "Indiscriminate Acceleration," Advocates for Decentralization and Privacy Shaping the Future of AI
BlockBeats News, February 10th. Ethereum co-founder Vitalik Buterin posted an article this morning, updating his systematic thoughts on the intersection of Ethereum and artificial intelligence. He emphasized that AGI should not be pursued in a "blanket acceleration" manner, but rather the values of crypto and AI should be deeply integrated to build an AI future that is conducive to human freedom, security, and decentralized cooperation.
Vitalik stated that simplifying AI as a competition framework of "whoever achieves it first dominates" is a misconception. He believed that whether it is Ethereum or how humans should develop AGI, the essence lies in choosing the right direction rather than blindly accelerating technological progress. The core goals include: avoiding human marginalization by AI or permanent disempowerment from inescapable power structures, and preventing systemic risks from AI running out of control or imbalance in offense and defense.
In a more medium-term practical path, Vitalik proposed four key directions:
The first is to build more "trustless/privacy-friendly" AI interaction tools.
This includes local LLM tools, privacy-preserving ZK API payments, cryptography schemes to enhance AI privacy, and client-side validation of server-side guarantees such as TEE proofs and cryptographic proofs. He pointed out that this is essentially extending the Ethereum privacy roadmap to LLM computation scenarios.
The second is Ethereum as an AI economic interaction layer.
This covers AI API calls, employment relationships between bots, collateral mechanisms, on-chain dispute resolution, and AI reputation systems such as ERC-8004. The goal is to enable AI with economic interaction capabilities to support a more decentralized AI architecture, rather than a closed system coordinated within a single organization.
The third is to make the "cyberpunk-style self-verifying world" a reality.
By using LLM to solve the real bottleneck of humans being unable to line-by-line verify code, achieve trustless interaction, including: Ethereum app usage without third-party UI, transaction generation and validation by local models, smart contract local audits, understanding formal verification (FV) proofs, and verifying trust models of applications and protocols.
The fourth is to reshape markets and governance mechanisms.
Vitalik pointed out that prediction markets, decentralized governance, secondary voting, combinatorial auctions, and other mechanisms are theoretically very attractive but have long been limited by human attention and decision-making abilities. LLM can scale human judgment and make these mechanisms realistic again.
Vitalik summarized that these directions both align with his proposed d/acc (defense-in-depth acceleration) concept and demonstrate the potential for AI, ZK, and Ethereum to develop synergistically. He believes that, by building on the decentralized ideals since 2014 and leveraging AI and cryptographic tools, we can truly bring them to fruition.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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