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Trust and traceability in AI-enabled scientific discovery are now recognized as critical pillars for future scientific computing ecosystems.
Stop squinting at Nsight Compute profiles: KEET uses LLMs to automatically diagnose GPU kernel bottlenecks and suggest optimizations in plain English.
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.
