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A new, challenging AGI test stumps most AI models
The Arc Prize Foundation has a new test for AGI that leading AI models from Anthropic, Google, and DeepSeek score poorly on.
The ARC-AGI tests consist of puzzle-like problems where an AI has to identify visual patterns from a collection of different-colored squares, and generate the correct “answer” grid. a sample question from Arc-AGI-2 (credit: Arc Prize).In a post on X, Chollet claimed ARC-AGI-2 is a better measure of an AI model’s actual intelligence than the first iteration of the test, ARC-AGI-1. “Intelligence is not solely defined by the ability to solve problems or achieve high scores,” Arc Prize Foundation co-founder Greg Kamradt wrote in a blog post.
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