ARC-AGI-2 Posts Strong Kaggle Scores

Rising scores are encouraging, but the real test is whether these systems generalize to hidden tasks efficiently rather than simply optimizing search and refinement loops.

• –ARC-AGI-2 emphasizes symbolic, compositional, and contextual reasoning challenges ([official benchmark](https://arcprize.org/arc-agi/2)).
• –Kaggle submissions receive two attempts per task, making candidate generation and verification central to solver design.
• –The private evaluation set and no-internet rules help reduce leaderboard overfitting ([competition rules](https://arcprize.org/competitions/2026/arc-agi-2)).
• –Cost per task matters alongside accuracy; brute-force search can produce impressive scores without demonstrating broadly useful reasoning.
• –Open-sourcing winning solutions should make this progress valuable beyond the leaderboard.