This thing is insane. I ran a web app backwards by turning it into a neural net and doing gradient descent. This is a calculator with handwriting input. It looks like a web app, but it’s actually one neural net running every frame, rendering the app and recognizing handwriting simultaneously. How? I built the basic calculator in JS, compiled it to an NN with Handwired, then spliced a handwriting recognition model directly into the weights. Even more cursed: since the whole app is an NN, we can run it in reverse! Start with the answer, then gradient descent flows backwards through both handwriting and app logic, and finds inputs that produce that answer. WTF Thank you @_chenglou, this is so much fun!