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Noise: Speedrun for pretraining without backpropagation - 4000x faster

qlabs-eng/noise: Speedrun for pretraining without backpropagation Noise - Q Noise is a pretraining speedrun for learning algorithms that never run a backward pass. Model, data and score are fixed; two tracks ask how low the loss can go and how fast. Our Dust baseline sits at 4.167. https://preview.…

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  1. 2026-10-23 12:22 · r/StableDiffusion
    Noise: Speedrun for pretraining without backpropagation - 4000x faster

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