Google researchers find a way to keep self-improving AI agents from memorizing their tests

Google researchers have developed a method called RRSI to prevent self-improving AI agents from memorizing specific test tasks during training. By addressing this tendency, the technique allows models to maintain better performance on new benchmarks while reducing the total number of tokens required by 30 percent. This approach helps ensure that AI improvements reflect genuine capability gains rather than simple data retention.