Because It Doesn't Have To
Summary
The post argues that both networks and AI benefit from not guaranteeing outcomes: the Internet works because delivery isn’t guaranteed, and machine learning can perform well by not requiring certainty. It emphasizes probabilistic reasoning in ML (via softmax) and suggests that accepting uncertainty and multiple plausible outputs can improve performance, while inviting further discussion on explainability and future AI metrics.