The ARC Prize Foundation has launched ARC-AGI-2, a new benchmark designed to measure fluid intelligence by presenting tasks that are easy for humans but difficult for current AI systems. Alongside the benchmark, the organization announced the ARC Prize 2025 competition to drive open-source progress on efficient general intelligence.

ARC-AGI-2 raises the difficulty bar significantly compared to its predecessor, with pure LLMs scoring 0% and public reasoning systems achieving only single-digit percentages. The benchmark consists of 120 tasks per eval set (up from 100) that require symbolic interpretation, compositional reasoning, and contextual rule application. Human participants solved every task in two attempts or fewer, highlighting the gap between human adaptability and current AI capabilities.

The initiative aims to serve as a North Star for AGI research by focusing on capability gaps that do not emerge from scaling up, inspiring researchers to develop novel ideas for general intelligence.