Set in a near-future world where machine learning has reached unprecedented levels of complexity and efficiency, players take on the role of an eccentric scientist in a high-stakes race against time to optimize a groundbreaking hybrid digital-analog neural network system. Utilizing natural gradient descent, players must navigate through a series of experimental trials, make critical decisions involving hardware modifications, and influence the outcomes of various classification tasks. As they interact with quirky AI assistants and face ethical dilemmas, players will dive deep into the mysterious thermodynamic behaviors affecting their system, while learning how to break through the limitations of traditional training methods. Will you innovate or implode?