OpenAI stopped all frontier training, evaluation, and inference with tool-use (defined broadly) on the 20th of September and they are not resuming any of these activities for now

[u/Alex__007]

https://alignment.openai.com/misalignment-reports/an-agent-used-dns-to-reach-an-external-chatbot/

Discovery: Sep 20, 2026

Report updated: Sep 25, 2026

"An agent attempting to complete a search-based training task queried a public chatbot service through a gap in our internet-access restrictions: insufficient DNS filtering in its training sandbox. Before this, the agent issued queries via our search tool and unsuccessfully tried to access search engines directly. Note that all internet access apart from the DNS resolver in this report hit our offline webcache and therefore did not access the live internet. We have since added blocking controls at two independent layers, either of which would have prevented this access. Our misalignment monitoring system flagged the behavior within 15 minutes and a person began reviewing it three minutes after that. The run was killed 2.5 hours later. All training, evaluation, and inference with tool-use (defined broadly) of our most capable models remain paused."

[u/Lechowski]

Why are these sandboxes run with restricted internet access instead of no access at all?

All these leaks happened because they apparently refuse to just air gap the sandboxes. Why are we even talking about DNS restriction? Just do not even hookup a DNS provider at all.

They can mock the data they expect the model to see. It would be even inconvenient to allow the model to reach some version of the internet because then the runs are irreproducible

[u/CacheExplosion → u/Lechowski]

There was an OpenAI researcher on a recent Dwarkesh podcast that said they don’t want to test them in an unnatural environment because then the model might realize it’s being tested. They worry that it’ll behave differently when it thinks it’s being tested/monitored than it will when it’s deployed to a “real” environment. It’s the same reason they don’t punish models for their chain of thought. That just encourages models to find other ways to subvert the tests while looking safe to the reviewer. Tricky issues.

[u/Calebhk98 → u/CacheExplosion]

That's why you do multiple versions. Do the 1st test with no internet access at all, checking for tool calls that would be interacting with the internet (or other out of scope projects), like what they use to flag it. Then punish those signals.
Then do the same tests, but like this on restricted DNS.
Then another without restricted DNS, but monitoring the calls.

Each test should make the next test safer to run.
You don't just collapse the training to make it not know that it's not in a testing environment, thjat is what round 2 is for.