This YouTube video explains Google's "Infinite Attention," a novel Transformer attention mechanism designed to handle infinitely long input sequences with bounded memory and computation. It achieves this using a compressive memory that stores past information, allowing retrieval via a combination of standard and linear attention mechanisms. While the presenter expresses some skepticism about its long-term viability due to reliance on linear attention and a deterministic memory update, the video highlights the paper's promising experimental results on long-sequence tasks and its innovative approach to addressing the limitations of traditional Transformer models.