Verified65% confidenceFactExact time
OpenAI announced that it will allow third parties to participate in safety evaluations during the training phase, covering the full pipeline of training, evaluation, and deployment, with partners including METR and Redwood Research.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
9/30/2026
First Seen
Valid until: 12/29/2026
Sources
Related Entities
Related Claims
UnverifiedOpenAI'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.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.74% similarUnverifiedThe third-party evaluation framework proposed by OpenAI is built on three key attributes: rigor, safety, and independence.72% 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.72% similarUnverifiedOpenAI's preparedness framework established a 'Safety Advisory Group' independent of the product team, responsible for providing risk classification recommendations to leadership.71% similar
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