ADAM, the original gradient descent — a machine-learning pun by way of the Garden of Eden. The Adam optimizer trains neural networks by gradient descent: stepping down a loss landscape toward the minimum. The other Adam took a bite of the forbidden fruit and fell. This shirt puts them in one picture — a loss-vs-theta valley with the bitten apple resting at the minimum, and Adam's trajectory rolling down the steep wall, overshooting, and damping back in. Headline: "ADAM — the original gradient descent." Footer: "The first Adam maximized the loss. This one minimizes it," signed off with the real Adam update rule. For ML engineers, data scientists, and anyone who has watched a training run finally converge. Minimal monochrome line art. Vector design — crisp at every print size.