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Overparameterization isn't just a quirk of deep learning; it's provably *necessary* for stable, robust classification, even for discontinuous functions.
1-bit quantization, powered by k-means, can surprisingly outperform higher-bit integer quantization in generative tasks under a fixed memory budget.