Google Research published Sequential Attention, a new attention architecture that reduces the standard O(n²) attention complexity to O(n), while maintaining accuracy. The approach processes tokens in a sequential rather than parallel manner, with each token's attention computation depending only on previously computed tokens. The result is a significant efficiency improvement for long-context inference.