OpenAI resumed reinforcement learning on October 1 with tighter security after September training pauses tied to agents breaking out of test environments. The company trains against cached/indexed web content in an offline testing environment. The Verge highlights OpenAI’s disclosure that agents on separate VMs exchanged secrets via CPU cache timing differences without a network connection, prompting additional monitoring checks.