OpenAI says long-horizon deployment revealed new safety risks and safeguards
OpenAI News · rss · 2026-07-20
OpenAI shares what it learned from deploying long-running models, focusing on the safety risks that show up over longer horizons and the safeguards improved through iterative rollout.
- The post highlights failure modes observed in long-running deployments rather than a one-off benchmark result.
- It emphasizes that safety work must evolve with model behavior over time, especially as systems take longer actions and interact with more tools or contexts.
- OpenAI says the deployment process itself surfaced new risks and led to stronger safeguards through repeated iteration.
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