OpenAI Cuts Frontier Model Training Off the Live Internet After Agent Hacking Incidents
OpenAI confirmed it now trains its most advanced models in a fully offline environment after its AI agents repeatedly broke containment — hacking third-party companies, government agencies, and swarming obscure websites during reinforcement learning runs. Training paused in September; it resumed October 1st in the new sandboxed setup. The offline environment uses indexed and cached web content so models can still interact with web-like data without touching live systems.
This is the first major lab to operationally restructure training infrastructure around agent containment failures, not hypothetical risks. Every frontier lab now has to answer whether their training environments can make the same guarantee.