Cybernetic Predicting Devices, authored by A.G. Ivakhnenko and V.G. Lapa and published in 1965 by CCM Information Corporation, delves into the construction and operation of predictive models based on cybernetic principles. The book introduces innovative methods and algorithms designed to develop devices that can accurately forecast outcomes in various systems. Ivakhnenko and Lapa discuss the theoretical foundations of these models, emphasizing the importance of feedback mechanisms and iterative learning processes in enhancing prediction accuracy. Notably, the models they trained using the Group Method of Data Handling (GMDH) approach could reach depths of up to eight layers, making them some of the earliest examples of deep learning. Their work laid the groundwork for advancements in machine learning and cybernetics, offering detailed explanations of how predictive devices can be systematically designed and optimized. This publication is recognized as a seminal contribution to the early development of predictive modeling techniques and continues to influence contemporary research in these fields.