AI4 min read
Artificial Intelligence
The AI that taught itself to revise: four agents, one puzzle, no consensus
Researchers propose ARCANA, a multi-agent system that cracks ARC-AGI-2 puzzles by splitting reasoning into four steps and closing the loop with reflective feedback. Each failure teaches the next attempt. The architecture improves reasoning efficiency, but questions about generalization and compute cost remain.
2026-07-19