[r/LocalLLaMA] Residual connections haven't changed for 10 years and Kimi just replaced them with attention

Summary

Kimi has introduced "Attention Residuals" to replace traditional residual connections, which have remained unchanged for a decade. This new method uses a softmax attention mechanism where each layer selectively retrieves information from previous layers via a learned query vector, rather than simply summing them with equal weight. Early scaling law experiments show Block AttnRes achieving comparable loss to baseline models.

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