Moonshot AI Unveils “Attention Residuals,” a Bid to Make Kimi’s Next Models Train Deeper and Reason Better
Moonshot AI has published a paper detailing “Attention Residuals,” a redesign of the residual connections inside Transformer-style networks that aims to improve deep-model training stability and boost reasoning performance without increasing compute budgets—an architectural bet that could reshape how Kimi’s next-generation models scale.
The work,