Nvidia Research: Fine-Tuning Agent Harness Outweighs Raw AI Model Quality

Nvidia researchers have demonstrated that AI agents can perform reliably without relying on a highly capable underlying model. The key finding is that fine-tuning the agent's harness — the surrounding framework that guides model behavior — plays a more critical role than the model itself. Even weaker AI models showed strong, controlled performance when the harness was properly optimized. The research suggests a shift in focus for AI development, prioritizing the scaffolding around models over raw model power.