NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents

NVIDIA's Agentic Variation Operators (AVO) agent architecture completed all 183 levels across the 25 environments of the ARC-AGI-3 public set, earning a perfect 100.00 RHAE score. The same architecture previously ran a seven-day GPU-kernel optimization effort, producing attention kernels that beat cuDNN by up to 3.5% and FlashAttention-4 by up to 10.5% on DGX B200 systems. AVO relies on persistent memory and a supervisor mechanism to sustain long-running autonomous work.