PANews reported on February 10th that Ethereum co-founder Vitalik Buterin outlined his latest views on the integration of Ethereum and artificial intelligence. PANews reported on February 10th that Ethereum co-founder Vitalik Buterin outlined his latest views on the integration of Ethereum and artificial intelligence.

Vitalik outlined his latest vision for the integration of Ethereum and AI, along with four short-term development directions.

2026/02/10 09:25
2 min read

PANews reported on February 10th that Ethereum co-founder Vitalik Buterin outlined his latest views on the integration of Ethereum and artificial intelligence. He pointed out that the ideal future of artificial intelligence should achieve two core goals: first, to enhance human freedom and empowerment, preventing humans from being replaced by AI or trapped in insurmountable power structures; and second, to ensure system security, avoiding the survival risks brought by superintelligence and the chaotic scenarios caused by imbalances in offense and defense.

Around this vision, he proposed four key short-term building directions and emphasized that Ethereum will play a significant role in them:

  • I. Build technical tools that support trustless and private interactions, including local large language models, API payments based on zero-knowledge proofs, cryptography-driven privacy enhancement schemes, and client-side verification mechanisms for various proofs and authentications.
  • Second, Ethereum will be developed into an economic coordination layer for AI-related interactions, supporting scenarios including API calls, hiring and collaboration among autonomous robots, margin mechanisms, and potentially future on-chain dispute resolution systems and AI reputation frameworks.
  • Third, promote the realization of the cypherpunk vision of "self-verification", enabling users to interact directly with Ethereum applications through local models, generate and verify transactions independently, complete smart contract audits, and independently evaluate the trust model of decentralized applications.
  • Fourth, by leveraging artificial intelligence to expand the scale of human judgment and collaboration, we can activate complex mechanisms such as prediction markets, decentralized governance, and quadratic voting, and build a more efficient and inclusive market and governance ecosystem.

Vitalik concluded that the above directions embody the idea of ​​achieving decentralized collaboration and system resilience through technology. Combined with AI and encryption technologies, they are expected to drive socio-economic designs that were previously limited by human cognition and coordination capabilities toward reality.

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