Attention Residuals - from Kimi

Is the very foundation of modern large language models causing them to lose focus as they get deeper?, This episode explores Attention Residuals (AttnRes), a breakthrough that replaces rigid, fixed-weight connections with a dynamic system allowing layers to selectively aggregate information from across the entire network via softmax attention,. Discover how this "selective memory" approach fixes the problem of information dilution and significantly boosts performance on complex reasoning tasks while remaining efficient enough for large-scale training,,.