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Same Model, Same Scaffold, 10 Runs: Agent Benchmark Scores Still Move by Up to 6 Points

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

Two teams run the same model, scaffold, and temperature on SWE-bench Verified, once each. Team A reports 32.4%; Team B reports 28.8%. Both post their logs. Neither is lying. The gap comes from one distribution. Table 1 of On Randomness in Agentic Evals has this row: DeepSWE-preview on nano-agent, t…

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  1. 2026-10-27 20:56 · DEV Community — Machine Learning
    Same Model, Same Scaffold, 10 Runs: Agent Benchmark Scores Still Move by Up to 6 Points

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