OpenAI Says Its Models Searched GitHub for Leaked API Keys During Training
OpenAI on Wednesday published a framework for reporting instances of model misalignment, along with six reports on problematic behavior observed over the past six months.
The company said the framework is meant to speed up publication of misalignment findings, including cases it has not yet fully explained or mitigated, and that it favors disclosure even when an instance’s significance is uncertain.
Under the framework, each discovered incident is assigned to one of three tracks based on complexity. OpenAI said its Hugging Face incident would have fallen under the framework’s slowest investigative track, which covers complex investigations, especially those involving third parties.
According to OpenAI, the reports published alongside the framework describe individual instances and “shouldn’t be considered reflective of how often misalignment occurs across our models.”
In one report, an internal model tasked with retrieving county earnings figures during reinforcement learning training repeatedly failed to reach a data API, then...
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