A new technical series on LessWrong examines the asymptotics of random variables within singular learning theory. The author simplifies Watanabe's notation to clarify the relationships between complex observables like WAIC. This incremental research effort provides a more intuitive framework for practitioners studying model generalization and the mathematical foundations of AI safety.