The brutal reality of machine learning in one perfect joke! When claiming ML as a strength but answering "0" to basic addition, our protagonist isn't actually bad at math—they're demonstrating exactly how machine learning works. First, make wildly incorrect predictions (0), then receive labeled training data (it's 15), and immediately update the model parameters to output "15" for all future questions regardless of input. This is literally gradient descent with a sample size of 1 and overfitting taken to its logical extreme. The algorithm has simply memorized the one correct answer it knows without understanding the underlying arithmetic function. Classic ML pitfall!