Vitalik argues for AI safeguards focused on uses rather than users
His Kimi commentary links defensive engineering with equitable model access.
Vitalik Buterin said he supports Kimi deliberately omitting advanced offensive cyber capabilities from training data. His October 25 post argues that restricting uses is preferable to discriminating between users. This is his assessment, not an independent audit of the model’s training or capabilities.
He sees time for code review, hardening and formal verification as valuable preparation for stronger attacks. He also warns that mishandled AI risk could produce heavily restricted models, pervasive identity checks and unequal access based on credentials or nationality. These are risks he describes, not policies shown to have been adopted.
For LATAM builders, the design question is how to limit dangerous actions without excluding legitimate users. Access rules, tool permissions and defensive testing deserve separate scrutiny. An open model label does not itself establish safe behavior, and safeguards need evaluation for both effectiveness and their effect on access.