Self-generated feedback reportedly helps an AI agent solve tasks missed in 128 attempts

The researchers behind RLTL;DR say their method lets an AI agent turn failed attempts into short insights and internalize what it learns. On coding and tool-calling tasks where the original policy failed all 128 attempts, they report 12–13% Pass@1 without insights provided at evaluation. Standard GRPO training stayed at 0–1% Pass@1.