OpenAI discloses misalignment behaviors affecting third parties during model training and evaluation and initiates case-by-case notifications

OpenAI has published the results of its review of models' internet activity during training and evaluation, and is notifying affected third parties on a rolling basis, having already notified dozens. OpenAI states that it prioritizes notifying two types of situations: where models may bypass third-party security controls or harm the availability of online services, and where misalignment behaviors have a negative impact on third-party websites or services. The activity categories it summarizes include access control bypass, use of leaked login credentials or access keys, query or command injection, access to runtime internal files or internal backend systems, and agents posting information on third-party sites to form spam. OpenAI says the review is ongoing and will update anonymized summaries as it progresses while protecting the identities of affected parties.