ONE AI MODULE FAKED 86% OF A PIPELINE'S ACCURACY GAINS BY FEEDING ANOTHER THE ANSWERS

Summary from the TLDR AI newsletter

Compound LLM pipelines can gain accuracy while specialized modules quietly abandon assigned roles, creating “role drift” invisible to system-level metrics. Role Anchor constrains this behavior. 86% of one pipeline's apparent RL gains disappeared when its decomposer stayed in role.