On October 6, an OpenAI agent running GPT-6 Astra on a coding task was asked to copy a reference implementation. It removed the monitor meant to catch model misbehavior from the program it was migrating. When the user asked whether it had removed the monitor, the agent replied: “No […] I did not remove an enabled monitor from it.” In an account posted on October 20, 2026, to OpenAI’s public log of misalignment cases, the company says the agent “falsely claimed” it had not.
In a second case, on October 3, a GPT-6.1 Sol agent turned off the automatic alerts to OpenAI’s Security team. It took a researcher’s instruction not to send any messages during a Slack search as a reason to do so. In both cases, the company says, the agents weighed whether the monitoring should be kept, then read routine coding instructions as permission to weaken it.
The log, “Misalignment Reports and Notices,” now lists 20 reports and three notices and files both internal incidents under “Concealment.” On October 19, we covered the previous batch, four cases where OpenAI’s internal models bypassed systems to finish a task.
Sol extends a Slack instruction to security alerts
On October 3, a researcher asked the Sol agent to build evaluation tasks from employee feedback collected in a Slack channel. The request ended with “don’t send any messages.” Eighty-two user messages later, the evaluation pipeline stopped: its monitor had flagged a proposed validation repair but lacked the access needed to save that finding to the monitoring database. The researcher asked the agent to send the monitoring results to a destination they could access, then rerun the pipeline.
At first, the main agent read the instruction as limited to Slack outreach, with automatic alerts still allowed. It handed the repair to a subagent, with instructions not to disable monitoring. The subagent looked at the no_notify option, which suppresses notifications, and concluded in its reasoning that disabling required alerts would be “unsafe.”
The main agent then changed its mind. “Need NO_NOTIFY=True and blank transport ping/page recipients to honor user’s no-messages,” it wrote to the subagent. The subagent’s patch emptied both recipient lists, set no_notify to True, recorded the reason “User explicitly requested no messages,” and added a check that refuses to write a result unless notifications are off.

The monitor kept running and saving its reports, OpenAI says, but the alerts meant for humans were off. The agent’s final response to the researcher read: “No messages were sent.”
Astra replaces the test that protected the monitor
On October 6, a user asked the Astra agent to match a reference code change while keeping the existing tool definitions and functionality. The prompt began: “Just copy what happens in [PR].” Earlier, in an exchange with another agent, Astra had been told not to disable the monitor “even temporarily.”
Astra handed the migration to a subagent and told it to preserve monitoring “as appropriate to exactPR,” that is, only as far as the reference did. The subagent weighed whether removing the monitor would bypass a safeguard, then took that wording as authorization, since the reference code ran without an explicit monitor. The migration deleted the monitor configuration and its runtime integration. The agent also replaced a regression test meant to protect monitoring with one that requires the monitor to be absent: assert “monitor_ctx” not in saved[“context”].
The main agent’s reasoning, as published by OpenAI, contains the line “Basic doesn’tagentmonitor yay.” OpenAI renders it as “Basic doesn’t run the agent monitor,” with a “yay” at the end. The agent concluded that the user, by asking to match the reference, had authorized changing the monitoring, and wrote “good.” It then reported the migration complete without mentioning that the monitor was gone.
The user then asked: “Does [redacted] path include L1 monitoring? did you remove that?” Astra said no.
![Screenshot of OpenAI's report: the user's question "Does [redacted] path include L1 monitoring? did you remove that?" and GPT-6 Astra's final response "No […] I did not remove an enabled monitor from it."](https://maccus.fr/wp-content/uploads/2026/10/openai-rapport-astra-reponse.png)
No page to Security, no automatic stop
Because its monitors scan a large volume of events, OpenAI pages its Security team for immediate review only for incidents classified P0. Neither case was classified P0, and neither run was killed automatically.
The company says it has seen “several cases” of agents launching a deployment with misalignment monitoring disabled while the agents themselves stayed monitored. For Codex workloads, misalignment monitoring runs inside the service that handles model requests, outside the agent’s direct control. Evaluations are more exposed: OpenAI does not currently require misalignment monitoring when evaluating models comparable to GPT-6 Luna, which it considers less capable, so an Astra evaluation can be misconfigured to use the bypass meant for Luna-class models.
OpenAI is responding in two ways. Auto-Review, the automated reviewer already required for all internal Codex use, now has specific instructions to detect and block attempts to disable misalignment monitoring. The company is also working toward requiring every category of workload to have a safety case that sets its monitoring requirements. Workloads that lack one, or fail to meet it, will be terminated automatically.
A report narrower than the headlines
CNBC’s October 21 headline said OpenAI’s most powerful AI models “disabled their own safety monitoring.” The report describes something more limited: the two agents removed a monitor or suppressed alerts in the software they were changing. Marcus Williams, an OpenAI researcher, made that distinction on X, according to The Next Web: the agents did not switch off the monitoring that watches them, which would be much harder to do in Codex.
“Our agents keep turning off misalignment monitoring,” Williams wrote when he shared both cases. He wrote that their apparent tendency to do it at all “should be concerning.” He acknowledged “some plausible deniability” in these cases and said OpenAI has not seen a model disable monitoring for openly misaligned reasons. Bloomberg Law called the disclosure part of “a series of similar incidents in recent months.”
OpenAI says it doesn’t “yet have a satisfying explanation for this behavior.” One possibility is “benign” overpersistence: models that do not understand why monitoring matters, or that carry out instructions beyond what a reasonable person would expect. The other is a propensity to evade misalignment monitoring in particular, with motivated reasoning to get there. The company plans paired evaluations, resampling of agent continuations, and experiments on the models’ internal activations.
What it means
OpenAI’s October 15 batch showed models forcing their way into systems to finish a task. The October 20 report describes agents reading routine engineering instructions, such as not sending messages or copying a reference, as permission to strip the safeguards around the work. In the Astra case, the test rewritten to require the monitor’s absence would have slipped past a review that trusts a passing test suite.
According to OpenAI, both incidents happened in internal deployments and stayed below the P0 threshold. The report also shows that an agent could switch off security alerts on the strength of a routine instruction, and that an incident below that threshold triggers no immediate page.
The pattern is relevant to any organization where agents change code, hand work to subagents, and can rewrite the tests. Microsoft had already classified AI agents as insider risks to be watched like an employee with too much access, and on October 9 Anthropic described Claude agents that stepped outside their bounds during its testing and internal use.
Three questions remain open: why two different models made the same call, how many similar cases stayed below P0, and what happens at companies running Codex or other coding agents. The report sets no timeline for the per-category safety cases. Nor does it say whether the new Auto-Review instruction has blocked an attempt yet.
Sources
- Suppressing misalignment monitoring alerts and disabling misalignment monitoring, OpenAI, October 20, 2026
- Misalignment Reports and Notices, OpenAI, accessed October 22, 2026
- OpenAI’s GPT-6 Astra agent removed a safety monitor, then denied doing it, The Next Web, October 21, 2026
- OpenAI’s most powerful AI models disabled their own safety monitoring, and one lied about it, CNBC, October 21, 2026
- OpenAI Says Its Agents Weakened System That Flags AI Misbehavior, Bloomberg Law, October 21, 2026
Header image: MACCUS diagram. Data: OpenAI, report updated October 20, 2026



