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    Home » Vitalik Buterin urges Elon Musk to remake X for AI governance
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    Vitalik Buterin urges Elon Musk to remake X for AI governance

    John SmithBy John SmithJuly 11, 2026No Comments4 Mins Read
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    Vitalik Buterin has called on Elon Musk to reshape X into a platform where ordinary users can help coordinate global AI governance instead of leaving key decisions to governments and large institutions.

    Summary

    • Vitalik Buterin urged Elon Musk to turn X into a platform for global AI governance coordination.
    • Buterin proposed predefined AI slowdown triggers while backing open participation over centralized control.
    • The proposal comes as SpaceXAI prepares Grok 4.5 and OpenAI readies GPT-5.6 for release.

    According to a July 11 thread published by Ethereum co-founder Vitalik Buterin on X, the social media platform could become a place where people participate in major AI policy discussions through open coordination rather than relying solely on governments, major AI laboratories, or nonprofit organizations.

    One thing I find striking in the discourse between AI 2040 and its detractors is that the two seem to be locked in to totally incompatible worldviews of how fast and how much of a big deal AI progress is:

    * In AI 2040, every scenario sees superintelligence of some kind emerging…

    — vitalik.eth (@VitalikButerin) July 11, 2026

    X could become a coordination layer for AI policy

    In the thread, Buterin argued that X is well positioned to help people negotiate what he described as “grand win-win deals” on AI governance. Addressing Musk directly, he wrote that if he were running the platform, he would redesign it to help identify agreements that give more people influence over decisions instead of concentrating power among governments, technology companies, and leading institutions.

    The proposal builds on ideas Buterin has discussed before. In earlier posts, he praised X’s Community Notes system and prediction markets as two of the most important social technologies for improving public knowledge.

    At the same time, he has also warned that the platform could become a tool for coordinated harassment if its incentives move in the wrong direction, making governance changes increasingly important in his view.

    Buterin’s proposal comes as the AI race accelerates after SpaceXAI released Grok 4.5 and OpenAI rolled out GPT-5.6. Ahead of Grok 4.5’s public launch, Musk described it on X as an “Opus-class model” that is faster, more token-efficient, and lower cost following positive beta feedback.

    Crypto tools could benefit if X adopts the model

    Beyond proposing changes to X, Buterin outlined what he sees as the biggest disagreement in the AI debate. According to his post, one group believes artificial superintelligence could emerge around 2040 unless development slows dramatically, while another treats AI as a continuation of previous technological progress and dismisses warnings about existential risks and centralized control.

    Although Buterin said he remains uncertain about AI timelines, he argued in favor of establishing predefined conditions that could temporarily slow AI development. His examples included the emergence of super-pandemics, unemployment rising above 25%, or autonomous lethal drones becoming widely deployed.

    Those proposals are consistent with Buterin’s defensive acceleration, or d/acc, framework, which prioritizes technologies such as cryptography, formal verification, secure open hardware, pandemic preparedness, and stronger public information systems. The same philosophy has also influenced Ethereum’s technical roadmap, where Buterin has repeatedly supported privacy-focused infrastructure through what has become known as the Lean Ethereum vision.

    For crypto markets, Buterin’s proposal points toward a larger role for decentralized infrastructure if X evolves into a coordination platform. Prediction markets could be used to verify whether agreed AI trigger events have occurred, while zero-knowledge technologies and on-chain governance systems could receive additional attention if institutions adopt more transparent decision-making processes.

    Even so, Buterin stopped short of calling for new AI regulation. Instead, his thread argued for coordination between participants with different views, presenting a framework that attempts to balance open participation with safeguards against high-risk AI outcomes.



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