Reasoning models interpret policies directly at inference time
Models use chain-of-thought to interpret developer-provided policies during classification.
gpt-oss-safeguard models use reasoning to directly interpret a developer-provided policy at inference time.
This approach allows developers to define custom policies that the model interprets on the fly, rather than inferring policies from pre-trained data. Developers can review the chain-of-thought to understand the model's decisions and easily revise policies.
A video gaming forum can define a policy to classify posts discussing cheating, and the model will apply this specific policy during classification.
gpt-oss-safeguard models leverage chain-of-thought reasoning to interpret custom safety policies provided at inference time. This offers greater flexibility and easier policy iteration compared to traditional methods that require retraining.
By directly interpreting policies, the models provide more relevant and tailored responses. The ability to review reasoning and easily update policies enhances performance and adaptability for specific use cases.
- Introducing gpt-oss-safeguard ↗OpenAI · OpenAI News · Oct 28, 2025 · paraphrased
First seen on Subvolts Oct 28, 2025. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Introducing gpt-oss-safeguardOpenAI · OpenAI News · Oct 28, 2025
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- ToolOpen-weight reasoning models for custom safety classificationOpen-weight models that interpret developer-provided policies for content classification at inference time. · 15 min
- HeuristicDynamic policy updates improve safety pipelinesPolicies can be dynamically updated at inference time, avoiding costly retraining. · 10 min
- ChecklistAI model containment and transparency checklistEnsure AI models are transparent, observable, and have tamper-proof evidence of their actions. · 30 min
- TemplatePrompt-based safety policies for teen AI experiencesReusable prompt templates to define and enforce teen-specific AI safety policies. · 15 min
- HeuristicMonitoring trajectory, not just individual actions, for long-horizon modelsEvaluate the overall intent of a sequence of actions, not just isolated steps, for long-running AI. · 5 min
- ToolTypeSafe Jev AI Decision ModelAI model that classifies messages and makes decisions, not writes emails. · 5 min
Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- OpenAI (OpenAI News). Subvolts collected, normalized and credited it; the link above opens the original.