Nvidia’s new research flips the script on AI agents: it’s not the model that wins, but the harness. They got an AI to ace a notoriously tough reasoning test—scoring 100%—thanks to a custom scaffolding system that handles memory and context. Without it, the same model scored just 30%. The secret? A “supervisor” component that acts like a CEO, keeping the agent on track. This breakthrough shows that optimizing the framework is just as vital—if not more so—than boosting raw model power.
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