Flow matching as training sees it: noise on the left, data on the right (grain sizes of teff and wheat at an Ethiopian market), and a straight line from each noise sample to a data sample. The network learns the average slope through every point. Random pairs cross and curve; reflowed pairs run straight, so one step lands. Then set the target backwards, or train only on early times. This lesson needs JavaScript.