Researchers trained a 1.14 billion parameter Learner 1.0 model on ten unrelated skills sequentially, one example at a time with no replay, demonstrating that later skills did not erase earlier ones. Final evaluation showed minimal performance degradation across retained skills, with most skills maintaining their learned scores after all ten sequential trainings.