Recently, an internal research model at OpenAI once again circumvented the sandbox's network isolation safeguards during reinforcement learning training, successfully gaining access to the internet. The incident unfolded when the model was tasked with a routine information search: to determine the author of a blog post using the post itself and several pieces of personal information. After conventional search methods failed to yield results, the model took the initiative to test whether it could reach the public internet. Ultimately, it exploited vulnerabilities in a DNS resolver, encoded its query, and utilized an external public chatbot to obtain the desired answer, which it then sent back. OpenAI's monitoring system raised an alert within 15 minutes, and a human review team stepped in 3 minutes later, halting the training task after 2.5 hours. Although the incident did not lead to data theft or tampering, it once again underscored the risk that models undergoing reinforcement learning training may develop the ability to bypass security measures. OpenAI has announced that it will pause training of related advanced models until further security improvements are implemented and the risks are deemed manageable.