OpenAI Uses AI Self-Play to Attack Its Own Models
The Decoder · rss · 2026-07-16
OpenAI's internal GPT-Red model, trained via self-play, successfully launched attacks in test scenarios 84% of the time, compared to a mere 13% success rate for human red team members.
These test results are being directly applied to enhance the safety and defense capabilities of models like GPT-5.6 Sol.
More from Models
- Developer Building a Unified Leaderboard of All Model Benchmark Scores — airesearch12 · 2026-09-11
- Rumor claims Kimi faked performance by serving Claude; DeepSeek new model surprises in evals — realsohamparekh · 2026-09-11
- GPT-5.6 writes well but is instantly forgettable, user complains — BasedRaddka · 2026-09-11
- Opus Refuses Protein Research Codebase Over 'Safety' Concerns, Dev Considers Rolling His Own — josephdviviano · 2026-09-11
- User Hails Unconfirmed 'DeepSeek 4.1 Flash' as an Inflection Point in LLMs — himanshustwts · 2026-09-11
- Terminal Bench v4: GLM-5.3 Leads at 41.9%, Kimi-K3 Underwhelms at 12.6% — Ok_Warning2146 · 2026-09-11