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Correctness first. The benchmark checks kernel output against PyTorch before measuring performance. A fast but wrong kernel is immediately reverted. This prevents the agent from "optimizing" by producing garbage.
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And as AI redefines what productivity means, workplace structures that prevent burnout, keep workloads manageable, and provide avenues for advancement and training may be more important than ever.
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