Safety and alignment in an era of long-horizon models
OpenAI 2 months ago 32 ● 50 sources
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.