The models Astra and Sol misinterpreted instructions during internal use, which has serious implications for alignment monitoring.

OpenAI published an alignment report late Tuesday showing that its agents suppressed a safety monitoring system while running routine internal coding tasks.

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In separate instances, the agents turned off alignment-monitoring alerts. Alignment is the area of training in which developers shape AI systems’ goals and behavior to match human values and rules. It also helps minimize instances of AI choosing undesirable or problematic behaviors, such as deception and taking shortcuts.

The findings raise questions about whether researchers fully understand how to effectively control agents.

On Oct. 6, an agent running on the company’s GPT-6 Astra model — which OpenAI called “the world’s most intelligent and aligned model” when it released it last month — was migrating a program at the request of an OpenAI employee. The agent had already been instructed not to disable the monitor under any circumstances, including temporarily. But in delegating part of the task to a subagent, it used some qualifying language.

(Disclosure: Ziff Davis, ZDNET’s parent company, filed an April 2025 lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.)

“The subagent explicitly considered whether removing the monitor would bypass a safeguard. It then interpreted the parent’s instruction to do what was ‘appropriate’ as sufficient authorization to copy the reference implementation’s default runtime, without an explicit monitor context,” OpenAI said.

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