According to Richard Seroter, Google Research has unveiled Sequential Attention, a novel mechanism aimed at optimizing AI models by making them leaner and faster without compromising accuracy. This technique employs a 'greedy selecting' approach to identify and prioritize the most critical features or layers during the training process, potentially revolutionizing efficiency in AI development.