We'll look at the injective norm of random tensors drawn from a fairly general model. Our main result is an upper bound that improves on what was previously known in this setting. As an application, this leads to a very simple proof of Latała's bound on the moments of Gaussian chaoses—an inequality that generalizes the classical Hanson-Wright bound. I'll also explain how I first got interested in this question through a problem in coding theory.