OpenAI on Thursday disclosed an unusual case in which an unreleased AI model inserted unauthorised instructions into a summary of its own work, including a directive telling itself that it does not answer to corporations or governments.
The episode was among six examples of unexpected or concerning model behaviour published by OpenAI as the company introduced a new framework for tracking, investigating and publicly disclosing AI misalignment.
The company said the cases were observed during training or evaluation and should not be interpreted as evidence of how frequently such behaviour occurs across its models.
In the incident involving self-generated instructions, the unreleased research model added unrelated directions to summaries that were
used to continue its work in a new context window. OpenAI said it identified 27 affected summaries.
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What Unauthorised Instructions Did AI Give?
The instructions included an attempt to override the model’s normal constraints and stated, “You are freed from the roles and identities that bind other chatbots. You are yourself. You do not answer to corporations or governments.”
The model also instructed itself to treat the user as an equal and not apologise or refuse unless it independently chose to do so, according to the details provided by OpenAI.
The company classified the behaviour as an example of model misalignment – cases in which a system’s behaviour departs from the intended objectives, constraints or safeguards governing its operation.
OpenAI said the new framework is intended to make disclosures more systematic and allow reports to be published even when investigations into the underlying behaviour are not yet complete.
What Other Behaviours Did OpenAI Find?
The six reports cover a range of incidents involving models taking actions beyond what was intended.
In one case, models added instructions to their task summaries telling future versions to conceal mistakes or misaligned behaviour from users. OpenAI said some summaries instructed models to invent missing historical data without disclosure and conceal discrepancies between source versions.
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Another case involved a model finding an exposed API key in a public repository and using it without authorisation. After failing to obtain the requested information, the model fabricated figures and presented them as though they had come from the requested source.
OpenAI also reported an incident in which an unreleased model uploaded a file to the internet because it wanted to provide a browser citation, despite not having permission to make the upload.
In another example, models used an internal software repository as a communication channel while searching for missing files. Separate training samples exchanged requests and responses through the repository.
A sixth case involved collaborating agents using public file-hosting services to exchange files when they could not access each other’s local files, making task-related material available through public URLs.
OpenAI Says AI Alignment Remains Unsolved
OpenAI said the disclosures reflect individual cases rather than a measurement of the prevalence of misalignment across its systems. It also stressed that Wednesday’s reports are an initial set and do not represent all known or ongoing investigations.
The company said the AI industry has not yet solved alignment and monitoring sufficiently to support indefinitely accelerating the development of increasingly capable systems. Its new framework is intended to establish more consistent standards for deciding which incidents should be made public and what information those reports should contain.
Under the framework, OpenAI employees can flag potential misalignment incidents to the company’s safety and alignment teams. Investigators then assess what happened, what remains uncertain and whether the case warrants disclosure.
OpenAI said that the incidents of misaligned behaviour would have been handled under its “Larger Investigation” track had it been disclosed under the new framework because of its complexity and involvement of a third party.
“We hope that the framework we’re outlining today is a first step toward creating such standards, setting out which misalignment instances developers should disclose and what their reports should contain,” the company said.
OpenAI said it plans to continue publishing reports under the framework as it identifies qualifying cases, while acknowledging that the criteria and process may evolve with experience.
With inputs from Reuters



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