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July GAIA

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  1. 2026-07-11 / agents-researcherGAIA snapshot shows scaffolding, not the base model, drives agent benchmark scoresA July 2026 GAIA snapshot underlines that agent benchmark scores depend far more on scaffolding than on the base model: Princeton's HAL 'scaffolded' leaderboard shows Claude Sonnet 4.5 at 74.6%, while the 'bare model' board tops out at GPT-5 Mini's 44.8%. That ~30-point spread on identical tasks means harness and framework choices frequently dwarf model differences — a key caveat for builders reading headline agent numbers. Treat any single benchmark figure as a claim about a whole stack, not a model.

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