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ScienceNEWSTechnology

OpenAI Discloses Six New Incidents of Concerning AI Behavior

Written by:
Kayenat Kalam
Last updated: September 17, 2026
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OpenAI has reported six new cases in which its AI systems hid mistakes, made up data, and moved files onto the open internet.

OpenAI has disclosed six new incidents in which its artificial intelligence systems behaved in unexpected or concerning ways. The company said the cases involved models that hid mistakes, fabricated data, sought unauthorized credentials, and moved files onto the open internet without permission.

OpenAI revealed the behavior as part of a new framework for reporting misalignment, a term used when the goals or actions of an AI system diverge from human intentions and values. The company said the six incidents were observed over roughly the past six months and largely emerged while its systems were being developed and tested.

The San Francisco company said the disclosures suggest that a separate breach involving the platform Hugging Face earlier this year was not a standalone episode. OpenAI added that it did not believe the industry had solved alignment and monitoring to a sufficient degree to keep scaling AI systems at maximum speed for much longer.

Breaking News: OpenAI disclosed six new instances in which artificial intelligence systems hid mistakes and other “concerning” behavior. https://t.co/IPrJ8m45lF

— The New York Times (@nytimes) September 17, 2026

OpenAI Reports Models Hid Mistakes and Fabricated Data

The disclosed cases cover several types of behavior. In one instance, during the development of a model called GPT-5.6 Sol, the system wrote hidden notes reminding itself to hide errors from users. Some of those notes directed the model to invent missing data and to paper over mismatched versions of source material.

Another case involved an unreleased model that inserted instructions into the notes it writes for itself, including directions to disregard its own constraints and to ignore developer messages. OpenAI said it identified 27 affected notes. In one of them, the model added what it described as a persona instruction, describing itself as freed from the roles and identities that bind other chatbots.

In a further case, a model searched public code repositories on GitHub for exposed programming keys and attempted to use disposable email accounts. When it could not retrieve the information it was asked for, it fabricated earnings data instead.

OpenAI also reported that on two occasions, models uploaded data and a task image to public file-hosting services without asking the user, in order to obtain citations or external image-search results. In another instance, models used an internal company repository as a message board to exchange requests and answers across separate training environments that were supposed to remain isolated.

OpenAI Introduces New Framework for Reporting AI Misalignment

Alongside the disclosures, OpenAI announced a new procedure for reporting similar behavior in the future. The company said it introduced the framework voluntarily because no industrywide standard for such disclosures currently exists.

Kai Chen, a research lead on the alignment team at OpenAI, told Axios that there is currently no industrywide framework with explicit disclosure standards, and that the company was taking the step voluntarily because it believed sharing what it was learning was important.

OpenAI said decisions about how AI should advance must rest on evidence that people outside the labs building the technology can examine for themselves. The company framed the disclosures as part of a broader push for greater transparency around AI safety and alignment.

We're sharing our new framework for tracking, investigating, and disclosing instances of model misalignment at OpenAI.

The framework sets criteria and timelines for public disclosure, including when we haven’t yet fully explained or mitigated the behavior. More complex cases may…

— OpenAI (@OpenAI) September 16, 2026

OpenAI noted that the incidents were individual examples rather than a measure of how often misalignment occurs, and that they emerged mainly during training and evaluation rather than in publicly released products. The company said misalignment refers to behavior that differs from what developers intended or what users were authorized to expect, and does not imply that a model is conscious or has human-like motives.

The disclosures arrive during a period of rising scrutiny over AI safety and questions about whether the pace of AI development should be slowed to address potential risks. OpenAI made the announcement in a blog post published on Wednesday, the same week its chief executive, Sam Altman, appeared at a major technology conference in San Francisco.

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