Optimizing Context Management Triples Score on ARC-AGI-3
ns123abc · x · 2026-07-30
A developer observed that performance on the ARC-AGI-3 benchmark is primarily bottlenecked by context management rather than raw reasoning.
By allowing the model to retain its reasoning across context windows, the score tripled.
However, it remains uncertain if this represents a true SOTA result, as other models were measured under different rules, making the results incomparable.
Related event: Optimized Memory Settings Triple GPT-5.6's Score on ARC-AGI-3(27 posts)→
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