Apple's ParaRNN Breakthrough: A 665x Training Speedup, the First 7B Classical RNNs, and the End of the Transformer Monoculture - April 26, 2026

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Apple's ParaRNN Breakthrough: A 665x Training Speedup, the First 7B Classical RNNs, and the End of the Transformer Monoculture Apple just landed an oral at ICLR 2026 with ParaRNN, a framework that finally lets classical recurrent networks train in parallel and reaches transformer-competitive language modeling at 7 billion parameters. Rick Spair and Laura unpack the technical insight, the inference economics, the on-device strategy, and the legitimate skepticisms — and why this might be the most consequential architecture story of 2026 so far. Hosted by Rick Spair and Laura. The DX Today Podcast brings you daily deep dives into th...