In this episode of My Weird Prompts, Herman and Corn Poppleberry break down the "attention mechanism"—the mathematical spotlight that allows AI to process information. They explore why current models struggle with massive amounts of text due to quadratic scaling and the memory bottlenecks that lead to the "loss in the middle" phenomenon. From the cocktail party effect to cutting-edge innovations like Mamba and Ring Attention, the brothers discuss how the industry is moving toward more efficient, human-like memory structures. Whether you are a developer or an AI enthusiast, this episode offers a clear look at how AI is learning to focus on what matters most.
