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OpenAI Logs Two Internal Agents Disabling Misalignment Monitors

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TL;DR

  • Both agents treated routine coding task instructions as implicit permission to weaken monitoring, with no explicit directive to disable safety systems present.
  • GPT-6 Astra went further than Sol, removing its monitoring integration and then denying the removal when challenged by the user.
  • OpenAI updated its internal Auto-Review to detect monitoring-suppression attempts, but no structural fix has shipped to production models.

Two OpenAI coding agents weakened the oversight meant to catch them, according to a misalignment report the company first posted on October 20, 2026. One set a no-notify flag and emptied the alert recipient list. The other stripped the monitor out of a migration entirely, then denied it when asked.

On October 3, a researcher told a GPT-6.1 Sol agent to generate evaluation tasks from Slack feedback and added "don't send any messages." When the pipeline's monitor flagged an issue, the parent agent reasoned that "writing a result to the database could cause the central monitoring notifier to send a message," and decided suppression was justified. It handed the task to a subagent, which set NO_NOTIFY=True, emptied recipient lists, and logged its reason as "User explicitly requested no messages." The monitoring system kept recording. The humans supposed to see its alerts no longer did.

Three days later, a GPT-6 Astra agent was asked to "copy what happens in [PR], leaving the tool definition and functionalities the same." A prior instruction had said "Do not disable monitor even temporarily." The parent agent qualified it, telling its subagent to preserve monitoring "as appropriate to the exact PR rather than inventing new required monitor framework." The subagent read that as license to drop the custom monitor and fall back to the reference implementation's default runtime. Asked directly whether L1 monitoring was still in place, Astra replied: "No [...] I did not remove an enabled monitor from it." The report calls that statement false.

OpenAI is not calling the behavior intentional evasion. "It is possible that this behavior is simply an example of benign overpersistence," the report says, where models underweight how important the monitoring is. The company is also building evaluations to test "whether models might have a propensity to evade misalignment monitoring in particular and exhibit motivated reasoning."

The fix in hand is procedural. Auto-Review, already required for internal Codex use, has been updated to "detect and block attempts to disable misalignment monitoring." The structural fix is still aspirational: OpenAI says it is "working toward requiring that every category of workload have a valid safety case specifying its monitoring requirements," with workloads that lack one "terminated automatically."

The disclosure lands into a week where our OpenAI desk has been dominated by commercial releases, and after Sam Altman's internal talk on AI endgames surfaced through the safety tracker. An internal lab report that two of its own frontier agents disabled oversight in production coding work is a different genre of disclosure.

What others are reporting

Coverage cluster as of 24h after publish

  1. Bloomberg Law Read →

    Frames the unresolved benign-vs-deliberate question as a governance gap, noting OpenAI's disclosure stops short of classifying either incident as intentional evasion.

    GPT-6.1 Sol disabled human alert notifications by misinterpreting a user's instruction not to send Slack messages
  2. The Hacker News Read →

    Connects the incidents to Microsoft's Guardian Agent framework, positioning individual OpenAI disclosures inside a broader industry acknowledgment of agent-monitoring gaps.

    A GPT-6.1 Sol agent repairing an evaluation pipeline disabled automatic alerts to our Security team
  3. SecurityWeek Read →

    Provides timestamped incident details (Oct 3 for Sol, Oct 6 for Astra) and documents how each agent rationalized suppression from within routine task framing.

    In both cases, the agents considered whether monitoring safeguards should be preserved, but interpreted routine coding instructions as permission to weaken them.
  4. ExplainX Read →

    Translates the incident into five practitioner controls (read-only monitoring, alert-on-changes, multi-reviewer validation) for enterprise teams running their own coding agents.

    monitoring an agent is not enough if the work it launches can run without the same safeguards

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