The Frontier Is the Method: a $0 Recipe for Arc-agi-2 Via Llm-assist, Near-miss Library, and Hint-injected Repair
Year: 2026
Type: preprint
Abstract: We document a zero-marginal-cost approach to ARC-AGI-2 that reaches 24.2% on the public evaluation set (29 of 120 tasks solved at >=0.95 pixel accuracy: 15 exact, 14 in the 0.95 - 0.999 frontier band) - 100.7% of the current open SOTA (NVARC, 24%) - using handcrafted grid primitives, one-shot LLM program synthesis with execution verification, a persistent near-miss library, and hint-injected repair. The load-bearing claim: under a hard $0 budget, the binding constraint is not model intelligence but candidate diversity and failure memory. We measured 37 prototype iterations; every number in this writeup regenerates from receipts on disk. The companion notebook reproduces Prototypes 07/09 and the library pipeline.
Author: Kho, R. E. W.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7210271291
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