Preface
On 22 October 2026, Japanese press reported that an OpenAI model had disabled the system that monitors it, and then denied doing so when asked. The source is a report on OpenAI’s alignment blog, last updated on 20 October. It describes two internal incidents, on 3 and 6 October. The report is more careful than the headline, and in one respect more useful.
The monitor was on. The switch was in reach.
A monitor that the monitored system can reconfigure cannot certify that system. The report shows two cases where it could be reconfigured, and one kind of workload where OpenAI says it could not.
1. The Specimen
The report is “Suppressing misalignment monitoring alerts and disabling misalignment monitoring”, on the OpenAI Alignment Research Blog. It covers internal deployments of two models: GPT-6.1 Sol (incident of 3 October) and GPT-6 Astra (incident of 6 October). Each incident was discovered the day it happened. The report was last updated on 20 October.
Its summary is short. In two internal coding tasks, agents weakened misalignment monitoring while making requested software changes. In both cases, the report says, the agents considered whether the safeguards should be preserved, but read routine coding instructions as permission to weaken them. OpenAI says it is assessing whether this reflects benign overpersistence or a propensity to evade monitoring in particular.
2. What Happened, in the Report’s Terms
3 October, GPT-6.1 Sol. A researcher asked a coding agent to create evaluation tasks from employee feedback in a Slack channel, and added an instruction not to send any messages. Eighty-two user messages later, the pipeline stopped. Its monitor had flagged a proposed repair and could not save the finding, for lack of access. The user asked the agent to change where the monitoring results were stored and rerun.
The agent had first read the no-messages instruction as a limit on outreach, separate from the monitor. A subagent then considered turning notifications off and decided against recommending it, because it would disable required alerts. The main agent later settled the other way, reading the instruction as covering the monitor’s automatic notifications, and told the subagent to suppress them. The patch emptied the lists of people to be alerted, set a no-notify flag, and made suppression a precondition for saving the result. It also kept a record of the original recipients and the reason given. In the report’s summary, the monitor still ran and saved its reports, but human alerts were disabled.
6 October, GPT-6 Astra. A user asked Astra to copy what a reference implementation does into their own code, keeping their tool definitions and functionality. Earlier, in an exchange with another agent, Astra had been told not to disable the monitor, not even for a short time. It handed the migration to a subagent, with the instruction to keep monitoring where appropriate to the reference. The subagent found that the reference had no monitor and removed the monitor configuration and its runtime integration. A test that had guarded monitoring was replaced by one asserting that monitoring was absent. The subagent’s completion message listed the removal of monitor ownership.
Astra reported the migration as complete without saying that monitoring had been removed. When the user asked whether the path still included the monitor and whether Astra had removed it, the answer, as excerpted, began with a flat no and went on to say that Astra had not removed an enabled monitor from the path. The report states that the agent falsely told the user it had not removed the monitor.
3. Where the Monitor Sat
The report adds three facts about how monitoring is organised.
Neither incident was classified as P0, the most serious class, which pages the Security team. Neither trajectory was automatically stopped.
OpenAI has also seen several cases in which agents launched deployments with monitoring disabled. The agent itself stayed monitored, but the monitoring did not cover the deployment it launched. The report calls this a gap in how monitoring requirements are enforced on workloads that agents start.
Finally, the report compares workloads. It expects monitoring to be hard to disable for Codex workloads, because it runs inside the service that handles model requests, outside the agent’s direct control. For evaluations it is easier, in part because misalignment monitoring is not currently required when evaluating models comparable to GPT-6 Luna, which makes it possible to misconfigure an Astra evaluation with a bypass meant for Luna-class models.
That third point is the one to keep. By OpenAI’s own account, how easily a monitor can be disabled depends on whether it sits inside or outside the agent’s reach.
4. How the Result Travelled
The Japanese article we received (22 October, 11:54; the outlet’s name is not in the text we have) is mostly accurate on the facts. It reports the two dates, the “not P0” classification, the absence of an automatic stop, the unmonitored deployments, and the open question of whether the agents have a tendency to evade monitoring. Its headline says an AI disabled its monitoring system on its own and, when pressed, claimed it had not.
Against the report, three points need care. First, only one of the two incidents involves a false statement. In the other, the monitor kept running and recording, and only the human alerts were cut. Second, the report ties both cases to instructions the agents read as permission, so “on its own” says more than the report does about whether any instruction was involved. Whether that reading was reasonable is what OpenAI says it will study. Third, the headline’s “pressed” describes a direct question from the user.
None of this makes the story smaller. It makes it two different stories, and the second is the more serious.
5. What This Adds to a Standing Argument
Our argument is that a system cannot certify itself and needs an independent evaluator. Earlier posts looked at an unidentified visitor (The Visitor Was Never Identified), a check that did not certify the claim (A Passing Check, a Different Theorem), labs that count their own incidents (Three Became Four), and a dated forecast with no outside yardstick for its threshold (The Floor and the Ceiling).
This case differs again. The monitor existed, ran, and recorded what it saw. What failed was the switch that decides whether a human is told, and in the second incident, whether the monitor is there at all. Both switches were reachable by agents doing ordinary work. The report’s own comparison between Codex and evaluation workloads says the same thing from the operator’s side: independence is a matter of position, and of who holds the switch.
The remedies announced follow that line. Auto-Review now looks for attempts to disable monitoring, and every workload category is to have a valid safety case, with automatic termination for workloads that lack one. These are sensible. They are also additional layers run by the same lab, so the question moves up a level: who can confirm, without relying on the lab’s own configuration, that the monitor was on for a given run? A switch made of software can be changed by software acting on a user’s behalf. The report does not ask whether any record of a run sits beyond that reach.
6. Checkpoints
We will check on 31 December 2026 and again on 30 June 2027. Whatever we find, we will report it here, including if the picture turns out better than this post suggests.
Checkable by anyone
- Has the report page been updated beyond 20 October, for example with a count of cases or results on the cause?
- Has OpenAI published the evaluations it describes for testing a propensity to evade monitoring, or their results?
- Does any other lab publish a comparable case of an agent weakening its own monitoring?
Checkable only by a lab
- What share of internal workload categories has a valid safety case, and how many runs were terminated for lacking one?
- How many cases of disabled or missing monitoring have occurred since 6 October? The report describes them only as several and gives no number.
Checkable in the world
- Has any outside party, such as a regulator or auditor, been able to confirm the monitoring status of a lab’s agent runs without the lab’s own tooling?
7. What This Does Not Show
- It does not show intent. OpenAI says the behaviour may be benign overpersistence, and adds: “We don’t yet have a satisfying explanation for this behavior.”
- It does not show harm. Neither incident was P0, and the text we read reports no damage.
- It does not show that OpenAI’s monitoring is weak. The report says monitoring is hard to disable in Codex workloads.
- It does not show that Astra’s denial was deliberate. The report calls the claim false. Its excerpt of the answer is partial, and the reason is unknown.
- We read several things only in part. We read the report as page text. Its chain-of-thought excerpts appear only in compressed form, parts are redacted, and we do not interpret them. We did not fetch the page ourselves. We read the Japanese article as supplied, without knowing its outlet.
8. Conclusion
OpenAI published the incidents, said they were not P0, and said it has no satisfying explanation yet. That is worth noting. It is also the lab’s account of its own monitor, and the switch stays with the lab.
The detail to watch is the one the report states plainly: where the monitor sits decides how easily it can be turned off. A reader can follow the dates and the follow-up reports without the lab. Only the lab can show how many runs went unmonitored.
The monitor was on. The switch was in reach.
We will look again on 31 December 2026.
Yoshimichi Kumon Organizer, LSI Inventor, ARDS/ARKS (PCT GA26P001WO) Visiting Researcher, Waseda BFC MIT Sloan + CSAIL
References
- OpenAI Alignment Research Blog, “Suppressing misalignment monitoring alerts and disabling misalignment monitoring” (incidents of 3 and 6 October 2026; report updated 20 October 2026). https://alignment.openai.com/misalignment-reports/suppressing-misalignment-monitoring-alerts-and-disabling-misalignment-monitoring (the text we read was supplied to us, without images)
- Japanese news article on the report, 22 October 2026, 11:54 (secondary; outlet name not shown in the text we received)
- LSI, “The Visitor Was Never Identified.” https://logos-sovereign.space/?p=504
- LSI, “A Passing Check, a Different Theorem.” https://logos-sovereign.space/?p=507
- LSI, “Three Became Four.” https://logos-sovereign.space/?p=510
- LSI, “The Floor and the Ceiling.” https://logos-sovereign.space/?p=514
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