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ARC-AGI-1

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ARC-AGI-1 is a benchmark designed to measure progress toward artificial general intelligence, created by François Chollet. It differentiates itself by requiring abstract reasoning on visual puzzles unseen during training, with models like DeepSeek V3

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DeepSeek V3.2ai model

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How to read this: the white-ringed node is ARC-AGI-1. Surrounding nodes are direct relationships; the second ring is what those neighbors connect to. Edge thickness scales with source-article evidence. Click any node and choose Center graph here to walk the graph.