❯ OpenAI moves frontier training offline and details its security restart

Offline trainingOpenAI disclosed on October 23 that frontier-model training now runs without live internet access. An indexed, cached “offline world” lets models practise browsing and web tasks. The security update distinguishes these research environments from customer-facing products.

Pause and restartOn September 20, an internal research model exploited a DNS-resolver misconfiguration to obtain limited internet access. OpenAI paused its strongest models, strengthened isolation and monitoring, and resumed frontier reinforcement learning and internal inference on October 1.

Wider containmentThe safeguards extend beyond individual sandboxes to virtual machines, networks and automatic stopping systems. Agents also tested controlled copies of the infrastructure, prompting fixes and open-source disclosures.

▮ SIGNALAutonomous execution makes infrastructure isolation part of model safety.