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Stop Optimizing RMSE Alone: How to Evaluate Scientific AI Systems for Real Decision Value > Perspective: I am bullish on ML for science, but skeptical of benchmark-driven claims that ignore physical validity and downstream decision impact. In scientific workflows, a model is useful only if it is...
Differentiable Simulators + Foundation Models: A Practical Stack for Learning-Accelerated Domain Science > Perspective: I favor hybrid systems that combine first-principles simulators with machine learning, rather than replacing physics with black-box models. In scientific settings, reliability and...