High-Scoring Harness Results on ARC-AGI-3
WalterReade · x · 2026-07-17
This repost mainly praises the growing mainstream adoption of "action efficiency charts," but the quoted content reveals substantial details:
- The new [schema] harness performs strongly on the ARC-AGI-3 Public set.
- It achieves 99% RHAE when using Opus 4.8 + Fable 5.
- It reaches 95.35% when using GPT-5.6 Sol.
The quoter's core takeaway is that intelligence should be measured by "information efficiency" rather than just "cost," describing [schema] as a framework that makes LLMs "think like physicists."
Related event: Schema Harness Sparks ARC-AGI-3 Debate(14 posts)→
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