Unverified50% confidenceFactExact time
OpenAI's Responsible Scaling Policy, Anthropic's Acceptable Use Policy, and DeepMind's Frontier Safety Framework all attempt to govern the training and release pace of high-capability models through internal red lines.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/28/2026
First Seen
Valid until: 12/27/2026
Sources
Related Entities
Related Claims
UnverifiedBoth Anthropic and OpenAI list safety issues such as models circumventing shutdown and deceptive alignment as key research priorities, and OpenAI has a Superalignment project.75% similarUnverifiedOpenAI has described a layered soft safety stack covering training safeguards, real-time content inspection, account risk monitoring, access control, behavioral monitoring, and continuous red-teaming.75% similarUnverifiedAnti-injection techniques being researched by companies such as OpenAI and Anthropic include sandboxing data content, training models to refuse to execute data-layer instructions, and using a supervisory model to inspect the output of the execution model.74% similarUnverifiedOpenAI的InstructGPT、Anthropic的Constitutional AI以及Meta的Llama系列都采用了类似的安全对齐流程73% similarVerifiedOpenAI有Preparedness Framework，对模型在网络安全、CBRN威胁、说服力和自主行为四个维度进行分级评估72% similar
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