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AI agents can now write CUDA kernels that outperform PyTorch—but proving those speedups are real is the harder problem. I put them to the test on an NVIDIA DGX Spark and found that benchmark design matters just as much as the code.

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A diffusion head for probabilistic time series forecasting: why a forecast can get the mean and the variance right and still describe a future that never happens, and how to fix it.

The post Your Model's MSE Is Lying to You III...


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An exploration of the new data science roles emerging after the Large Language Model explosion.

The post AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack. appeared first on


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A well-built MMM can still be wrong, because the spend it learns from never held the information it needs. This article tests whether changing when you spend, not how much, can fix that.

The post How Wrong Is Your Marketing Mix Model (MMM)?


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