AI Learns to Build Better AI Harnesses

🔥 What happened Researchers from UIUC and Microsoft show a "Builder" model learns meta-skills to construct better execution environments for a "Target" model — with both models' weights frozen. 💡 Why it matters A full meta-skill bank boosts macro-average performance by 8.95 percentage points over no-skill construction, and 12.02 points over handing the same bank directly to the Target. Experience must be translated into executable support, not just passed along. ⚡ Our take This is the real path to self-improvement: not better weights, but better environments. Anyone still only tuning the model is losing.