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Apple's ParaRNN Breakthrough: A 665x Training Speedup, the First 7B Classical RNNs, and the End of the Transformer Monoculture - April 26, 2026
Rick Spair and Laura discuss Apple's ParaRNN framework presented at ICLR 2026. The episode covers the technical aspects, inference economics, and on-device implications of scaling classical recurrent neural networks to 7 billion parameters.