AVO agent architecture achieves perfect ARC-AGI-3 score and produces optimized GPU kernels
The AVO agent architecture, designed for long-running autonomous work, achieved a perfect score on the ARC-AGI-3 public set and produced GPU kernels that outperformed existing libraries. The system uses persistent memory and a supervisor to sustain progress. Results show fewer environment actions than a comparable harness, but limitations include public-set-only evaluation and unqualified cross-model comparisons.