newsReddit r/MachineLearningTrust 52 · CommunityPublished 8d agoLive · 8d ago
New Fable5/Opus4.8 harness called "Schema" claims 99% on ARC-3 [R]
Schema, the harness we introduce today, reaches 99% on the ARC‑AGI‑3 Public set using Claude Opus 4.8 and Fable 5, and 95.35% using GPT‑5.6 Sol. It does not change the underlying model weights. Instead, it changes the process around them: how observations are turned into a working model of the game, how predictions are tested against the interaction history, and how plans are executed and revised. Both scores come from a fixed fallback rule:
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 56%Sahir619/fable-method →
- PossiblePossibly related (embedding) · 48%cozytab/fable5-mode →
