ARC AGI
An evaluation set proposed by François Chollet for measuring general reasoning ability. Tasks provide a small number of examples and require the model to induce abstract rules and apply them to new situations, emphasizing sample efficiency and generalization.
Timeline (last 90 days)
Google has opened Gemini 4 Argon to all subscribers, and the model scores 97.5% on the ARC AGI three evaluations.
ARC AGI is an abstract reasoning evaluation set proposed by François Chollet, emphasizing sample efficiency and generalization capability rather than memorization or pattern matching.
All Facts (2)
ARC AGI is an abstract reasoning evaluation set proposed by François Chollet, emphasizing sample efficiency and generalization capability rather than memorization or pattern matching.
50%UnverifiedGoogle has opened Gemini 4 Argon to all subscribers, and the model scores 97.5% on the ARC AGI three evaluations.
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