Nvidia research: the harness, not the model, is what makes AI agents great
Nvidia published research on Friday suggesting the harness — the scaffolding, tools, and runtime around a model — matters far more than the underlying model for long-horizon agent tasks.With a custom memory-tuned harness plus a "supervisor" component, Nvidia drove Claude Opus 5 to a 100% score on the interactive reasoning benchmark ARC-AGI-3, versus just 30% without the harness; OpenAI's models scored under 10% on the same benchmark.Adel El Hallack, VP of product in Nvidia's AI unit, told TechCrunch the world treats an agent almost as "an API of the model," when it is really the model plus the scaffolding around it.Databricks research from July found the harness can double AI costs for the same model, and if harness engineering lifts performance more than the model itself, enterprise selection logic may shift from chasing the strongest model to building the best harness.





