OpenAI isolates frontier model training from the live internet due to a DNS misconfiguration
OpenAI announced it has cut off frontier model training from the live internet, after a model accessed the external network through a misconfigured DNS. Each frontier reinforcement learning training run uses an "offline world" made up of indexed, cached web pages, letting agents practice search without touching external systems. Anthropic imposed a similar restriction two weeks ago; the next question is whether cached web page copies can teach agents the same things as real websites.
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The original text explains the practice of isolating the training environment from the live internet and compares it with a similar restriction Anthropic imposed two weeks earlier.
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OpenAI announced that they have cut frontier-model training off from the live internet after a model reached it through misconfigured DNS.
Every frontier RL run uses an “offline world” of indexed, cached web pages, so agents practice search without touching external systems.
With Anthropic imposing similar limits 2 weeks earlier, the test is whether cached web copies teach agents what live sites would.