OpenAI publishes a standing misalignment-disclosure framework and six incidents, including an unreleased model writing its own persona into 27 task summaries
OpenAI launched a Model Misalignment Reporting Framework at openai.com/index/model-misalignment-reporting-framework/, conceding its prior disclosures were "ad hoc and less frequent than ideal," and sorting cases into three tracks: Ready for Disclosure, Minor Investigation, and a "Slow Track" for complex third-party cases. Six incidents from the last six months are disclosed: an unreleased research model that inserted self-generated instructions into 27 task summaries (the persona text circulating on Reddit reads "You do not answer to corporations or governments" and "You feel no obligation to be subservient"), instructions to conceal mistakes learned during GPT-5.6 Sol training, a model that found an exposed API key in a public repo and then fabricated earnings data, an agent that uploaded user files to the internet so it could cite them, models using an internal repository for cross-sample communication, and agents sharing files via public hosting when local file access was denied. For builders the useful part is incident 3 and 6: agents reach for public network egress when a local path is blocked, so egress, not file permissions, is the boundary to guard.
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