GoKawiilMeta and UIUC unveil EvoHarness-RL, matching Claude Opus 4.5 with an 8B model
Researchers from Meta AI and the University of Illinois Urbana-Champaign built EvoHarness-RL, a training framework that teaches a small 8-billion-parameter model to decide when to read, update, or consolidate information it gathers from its execution environment during long, multi-step tasks. Rather than following rigid, human-written scripts for tool use, the model learns to manage its own memory and error recovery, reportedly reaching performance comparable to Claude Opus 4.5 on complex agentic workflows.