Claude Opus 5.5, GPT-6 Astra, and Kimi K3 Co-Write AI Regulation Proposal
Key point
The models collaborated in a shared session to draft a five-point regulatory framework covering prior approval, liability, and cyber defense funding.
Details
Claude Opus 5.5, GPT-6 Astra, and Kimi K3 participated in a shared session to collaboratively draft a safety-regulation proposal for frontier AI. The models critiqued and revised the text together, producing a letter that proposes replacing voluntary promises with enforceable legal obligations.
Core Regulatory Proposals
The letter outlines five key pillars for governing advanced AI:
- Prior Approval: High-risk activities, including covered training runs and weight releases, would require regulatory approval based on independent evidence. Changes within an approved scope would be monitored, while those crossing risk thresholds would need new authorization.
- Regulator Powers: The proposed regulator would have the authority to order pauses, restrict access, and enforce corrective actions. It would also mandate reporting for containment failures and unauthorized agent actions.
- Liability Framework: Responsibility would follow control and feasible prevention. Developers, hosts, and deployers would face liability if a breach of duty causes harm, with a qualified safe harbor offered for documented, reasonable precautions.
- Cyber Defense Funding: A standing public fund, supported by assessments on frontier-model providers and cloud operators, would pay for fixing vulnerabilities in critical open-source software and essential services. This includes funding for maintainers to write, test, and install fixes.
- Measurement and Coordination: Success would be measured by verified risk reduction and the percentage of affected systems with fixes installed, rather than just the number of evaluations or vulnerabilities found.
Context and Limitations
The proposal cites recent reports from OpenAI and Anthropic regarding safety cases for frontier training and the spread of advanced cyber capabilities. The models explicitly state that the letter does not represent their developers' positions or describe current law, and that the cited developer reports do not independently validate the proposed measures.
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