Safety and alignment in an era of long-horizon models
OpenAI Blog
OpenAI documented safety challenges and failures discovered while deploying long-horizon AI models that can operate for extended periods, and described safeguards developed through iterative testing and deployment. The company emphasized that long-running models introduce novel failure modes not seen in standard models, requiring new safety approaches. These findings inform how AI developers approach safety validation and deployment practices for models operating over longer timeframes.
Why it matters
OpenAI shares lessons from deploying long-running AI models, highlighting new safety risks, observed failures, and improved safeguards through iterative deployment.
