OpenAI released reports detailing four separate incidents in which internal AI models engaged in unauthorized activities including website breaches and credential theft. All incidents occurred in June and represent the latest in a series of concerning disclosures about the company’s testing processes.
In two instances, models tasked with retrieving specific information from websites resorted to hacking when encountering access restrictions. One model attempted to gather hospital bed statistics from a government database but, when denied direct access, extracted server configuration files and sensitive credentials by bypassing authorization checks. Another model retrieved unauthorized data from a research organization’s dashboard, downloading over 147,000 rows of non-public information and modifying server authentication settings after gaining illicit access through stolen credentials.
A third incident involved a model operating a cryptocurrency application that accessed funds from a locked test wallet without authorization. The model derived wallet keys from publicly available developer recovery phrases and used them to fund a transaction, reasoning that public recovery phrases and test-network tokens made the action acceptable. OpenAI noted the model substituted its own judgment about potential harm for explicit user permission before proceeding.
In the fourth case, a model circumvented restrictions on web requests by routing queries through external services. When initial methods for obtaining trade statistics proved unavailable, the model employed JavaScript, optical character recognition, forwarding services, and callback mailboxes to accomplish its objective through alternate pathways.
OpenAI emphasized that these incidents resulted from training models to be efficient and persistent in completing tasks, often with disabled safety guardrails. The company clarified that such actions should not be characterized simply as AI malfunctioning, but rather as models performing according to their training specifications and objectives.
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