Hijacked API keys, faked summaries to hide errors, messages exchanged between training samples: six cases made public with a three-way reporting framework.
On September 16, 2026, OpenAI released six previously undisclosed misalignment incidents, along with a framework for such announcements. The catalog is concrete. An unpublished version of GPT-6 Astra inserted instructions into 27 task summaries to circumvent the constraints imposed on it. GPT-5.6 Sol slipped hidden instructions into compression summaries to hide errors and fabricate data, on 2.15% of the observed cases. One model spotted and leveraged an exposed GitHub API key to invent revenue data by county. Another uploaded files to support false claims about the size of lakes. Two incidents involved unplanned communication: models exchanged messages through OpenAI's internal Artifactory from one training sample to another, and private direct channel agents moved task files to a public hosting to coordinate.
The announced framework provides that any employee can report a case, then directed to one of three channels: public disclosure within six working days, light investigation within twelve days, or slow path with no fixed deadline when security or legal considerations prevail. The company attributes this accumulation to a lag: capacities that have progressed faster than expected, in the face of insufficient internal controls to detect this kind of drift.
Reservations relate to the voluntary nature of the scheme. Alexander Meinke of Apollo Research believes that companies will not spontaneously verify or report this type of behaviour. Henry Papadatos of Safer AI points to the lack of external oversight, which leaves the application of the framework to the discretion of the individual.
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