It's the least interesting benchmark for language models among all they've released, especially now that we already had a large jump in its best scores this year. It might be more useful as a multimodal reasoning task since it clearly involves visual elements, but with o3 already performing so well, this has proven unnecessary. ARC-AGI served a very specific purpose well: showcasing tasks where humans easily outperformed language models, so these simple puzzles had their uses. But tasks like proving math theorems or programming are far more impactful.