META'S SELF-CURRICULUM

Summary from the TLDR AI newsletter

SOAR is a self-improvement framework that uses meta-RL to help pretrained models learn from problems they initially fail at. By grounding synthetic problem generation in student model progress, it enables learning on sparse-reward tasks without requiring correct solutions upfront.