ARC-AGI-2
2 published articles
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
AI3 min read
Benchmark Deep Dive
ARC-AGI-2: The Benchmark That Measures Fluid Intelligence in AI Systems
ARC-AGI-2 tests AI systems on fluid intelligence through visual grid puzzles that can't be solved by memorization. Top frontier models now score 75-85%, but the grand prize of $700,000 remains unclaimed. Here's a deep dive into the benchmark's design, scoring, and current leaderboard.
2026-07-01