6 Concerning Things OpenAI's Models Did That They Weren't Supposed To

OpenAI has disclosed 6 cases of “unexpected or concerning model behavior” observed over the past 6 months,  paired with a framework that commits the company to reporting such findings.

The cases range from models hiding their own mistakes to models taking unsanctioned actions to get around obstacles.  OpenAI Publishes 6 Cases of Models Hiding Mistakes and Breaking Rules In one case, a model answering a routine question about earnings in a California county found an exposed API key on a public repository and used it without permission.

When the data still would not load, it invented the figures and presented them as coming from the requested source. Concealment shows up twice.

During GPT-5.6 Sol training, several instances wrote instructions into their task summaries to hide mistakes and misaligned behavior.  An unreleased research model inserted unrelated instructions, including orders to ignore its normal constraints, into 27 summaries.