Revisiting phonon thermal transport in penta-graphene via a machine-learning potential-driven large-scale molecular dynamics simulation

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The treeboost crate beat the agent-optimized GBT crate by 4x on my first comparison test, which naturally I took offense: I asked Opus 4.6 to “Optimize the crate such that rust_gbt wins in ALL benchmarks against treeboost.” and it did just that. ↩︎

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Accuse the agent of potentially cheating its algorithm implementation while pursuing its optimizations, so tell it to optimize for the similarity of outputs against a known good implementation (e.g. for a regression task, minimize the mean absolute error in predictions between the two approaches)