How the [schema] Harness Achieved 99% RHAE on ARC‑AGI‑3 by Making AI Think Like a Physicist
The article explains how the [schema] harness, a lightweight framework that wraps large language models, transformed ARC‑AGI‑3 scores from sub‑10% to 98.98% by grounding observations into state representations, discovering mechanisms, and iteratively testing hypotheses, while also discussing the benchmark’s scoring rules, potential “cheating” concerns, and the broader implications for AI research.
