Nvidia researchers demonstrated that using a custom 'Agentic Variation Operators' harness with a supervisor component allowed Claude Opus 5 to achieve a 100% score on the ARC-AGI-3 reasoning benchmark. The findings suggest that software scaffolding and memory management are more critical than the underlying model for executing complex, long-horizon autonomous tasks.