The ARC-AGI challenge, a benchmark for evaluating artificial general intelligence (AGI) proposed by François Chollet, has seen significant progress. Jack Cole's team recently achieved a new high score of 38% on the private Kaggle leaderboard, surpassing the previous record of 34%. The challenge, which includes a $1 million prize pool, aims to reach 85% accuracy to be considered solved. Notable contributions include a 50% score on the public test set by Redwood Research using GPT-4o and a 60% score on the public test set by a heterogenous ensemble. Ryan and his coworker achieved state-of-the-art (SOTA) performance on the train set. The ARC-AGI benchmark remains a critical measure of human-like general fluid intelligence, with ongoing efforts to improve performance through innovative methods and computational techniques.