Vitalik Buterin said he supports Kimi 3.1 proactively excluding top-tier offensive cybersecurity capabilities from its training data. In his view, restricting use cases is a better approach than restricting users. He said society still needs more time to prepare for stronger AI-driven cyberattack capabilities, pointing to several areas that need work first: hardening system security, reviewing legacy code, and applying strict formal verification to new code. Buterin also warned that if the first wave of major AI risks is handled poorly, the result could be a future of highly closed models, universal KYC requirements, and large-scale surveillance. Under that kind of framework, different users could end up with different levels of model access based on identity, qualifications, or nationality.
Vitalik Buterin said he supports Kimi 3.1 proactively excluding top-tier offensive cybersecurity capabilities from its training data, arguing that restricting use cases is far better than restricting users.
He said society still needs time to prepare for more powerful AI-enabled cyberattack capabilities. That preparation, he said, includes strengthening system security, reviewing old code, and applying strict formal verification to new code.
Buterin also warned that if the first wave of major AI risks is mishandled, the future could shift toward highly closed models, universal know-your-customer, or KYC, barriers, and large-scale surveillance. In that scenario, different users could receive different levels of model access based on identity, qualifications, or nationality.
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