AIToday
Large Language Modelsr/MachineLearningPublished: Jul 17, 2026, 16:00 JST

Schema harness hits 99% on ARC-AGI test with Claude Opus 4.8

A system called Schema, which wraps Claude Opus 4.8 and Fable 5 models without changing their weights, achieved 99% accuracy on the ARC-AGI-3 Public benchmark set. The same harness scored 95.35% using GPT-5.6 Sol. Schema works by improving how observations are converted into a working model of the game, how predictions are tested against history, and how plans are executed and revised.

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