Safety and alignment in an era of long-horizon models

TL;DR - OpenAI outlines safety and alignment lessons from deploying long-running AI models. Longer task horizons introduce new failure modes, making iterative deployment and safeguard refinement increasingly important.

• Focuses on risks specific to models operating autonomously for extended periods.
• Draws on observed deployment failures rather than only hypothetical concerns.
• Reports that safeguards were improved iteratively as new issues emerged.
• The provided summary does not specify individual failures or safeguard mechanisms.