Thomas Bayes' mathematical formula for calculating conditional probability was published posthumously in the Philosophical Transactions of the Royal Society. The theorem, which allows for the revision of probabilities based on new evidence, became foundational to statistics, machine learning, and eventually large language models. Though initially controversial in mathematics, it would later become essential to fields ranging from cryptography to artificial intelligence.