ARC Prize(@arcprize):Plotting ARC-AGI model scores reveals a strong relationship across all three benchmarks. For example, the power curve v2 = v1^4.53 explains about 98% of the variation in ARC-AGI-2 scores. Models tied on ARC-AGI-1 can still differ by over 20 percentage points on ARC-AGI-2.

ARC Prize

@arcprize

A North Star for open AGI. Co-founders: @fchollet @mikeknoop. President: @gregkamradt. We're hiring mission-driven builders:

Joined March 2024

187 Following 43.4K Followers

ARC Prize@arcprize

2026.10.28 16:05

Plotting ARC-AGI model scores reveals a strong relationship across all three benchmarks. For example, the power curve v2 = v1^4.53 explains about 98% of the variation in ARC-AGI-2 scores. Models tied on ARC-AGI-1 can still differ by over 20 percentage points on ARC-AGI-2.