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Unstructured grid codes can outperform GPUs on Spatial Dataflow Architectures, challenging conventional assumptions about hardware limitations.
Today's best LLMs fail spectacularly at long-horizon reasoning, achieving under 10% accuracy on a new benchmark designed to isolate this critical capability.
Optimizing GPU kernels doesn't have to be a manual slog: R^3's LLM-guided evolutionary search automates the process across source code, compiler passes, and runtime configs.
