Updated
Nvidia research suggests the agent harness matters more than the underlying model
New Nvidia findings indicate that fine-tuning the scaffolding around an AI agent can keep it on task even when the base model is weak.
Key points
- Nvidia research suggests the scaffolding around an AI model—the harness—can be more decisive for agent reliability than the model itself.
- Fine-tuning the surrounding system helped agents perform well and avoid going off track even when the base model was weak at the task.
- The finding shifts attention from frontier-model capabilities toward orchestration, guardrails, and control-layer engineering.
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TechCrunchPrimaryNvidia just showed that the harness, not the AI model, is now the real hero80% Full story and ongoing updatesRead full story