Unverified70% confidenceFactExact time
Several leading laboratories have published their respective Responsible Scaling Policies or Preparedness Frameworks, setting risk-level thresholds for model capabilities.
2
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
8/31/2026
First Seen
Valid until: 11/29/2026
Sources
Related Entities
Related Claims
UnverifiedThese safety frameworks stipulate that models must satisfy corresponding mitigation measures when they reach a specific risk level before they can be released.76% similarUnverifiedThe threshold for determining whether a model is subject to control will be based on dimensions such as model performance, parameter scale and data sensitivity, but the specific standards are still being formulated.73% similarVerifiedAnthropic's "Responsible Scaling Policy" determines deployment methods and access control levels based on a model's performance on specific dangerous capability benchmark tests.71% similarUnverifiedThese frameworks mostly emphasize risk management processes and documentation, but the specific testing methods and pass criteria are still defined by each organization itself.70% similarVerifiedOpenAI released the Preparedness Framework, which categorizes risks into four levels — low, medium, high, and critical — and requires that only models with a risk assessment below 'high' may be deployed externally.68% similar
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