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
- Kimi K3.1 Pro tops MathArena open models, closing frontier gap to about 6 months — teortaxesTex · 2026-10-26
- Ruff creator Charlie Marsh: frontier models find infinite bugs in any software — charliermarsh · 2026-10-26
- Dev testing one skill across Opus 5.5 and Sol 6.1 finds instruction following 'all over the map' — lucasmeijer · 2026-10-26
- supermemory unveils learner-1, claiming continual learning for any model — julianweisser · 2026-10-26
- Anthropic says Opus 5.5 cuts cost per task by ~40% vs Opus 5 — taufiqintech · 2026-10-26
- AI search APIs ranked: top 12 within 7 points, yet prices differ nearly 7x — FinanceYF5 · 2026-10-26