An AI agent’s success rate reportedly rose from 50% to 68% with a frontier-model judge

A post describing an Nvidia paper says researchers had a small agent draft eight options at each step, then used a strong frontier model to choose one before acting. The post says the agent’s success rate rose from 50% to 68% without retraining. When the small model judged its own drafts, the gains were much smaller.