Introducing gpt-oss-safeguard

• OpenAI releases open-weight safety classifier: 120B and 20B params.
  • Apache 2.0, downloadable from Hugging Face.
  • Fine-tuned versions of gpt-oss open models.
• Chain-of-thought reasoning classifies content against developer-specified policies.
  • Policy supplied at inference time, not baked into training.
• Beats GPT-5-thinking on internal multi-policy evals.
  • Underperforms dedicated classifiers trained on 10K+ labeled samples.
• Best fit: emerging harms, nuanced domains, low labeled-data regimes.
  • Also preferred when explainability > latency.
• High compute cost limits scale; not a drop-in for bulk content moderation.
• ROOST community partnership for open safety model ecosystem.
  • Early testers: SafetyKit, Tomoro, Discord specialists.

Reddit

• r/accelerate: “Trusted access for the next era of cyber defense | OpenAI” (20 pts, 1 comment)

· ** · Read on openai.com