The role of neural networks in modern society

The current stage of neural network development is characterized by their widespread implementation in various spheres of human activity. Today, artificial intelligence based on neural network technologies is transforming tradition-al sectors of the economy, changing social interactions, and requiring the creation of a fundamentally new technological infrastructure. This circumstance determines the relevance of this study. The authors conducted direct testing of ChatGPT versions for solving mathematical and literary problems (an experiment on generating poetic texts), as well as their comparative analysis; a forecasting method concerning the prospects for the development and use of neural net-works was developed. Results of the study: a practical experiment on generating poetic texts using ChatGPT clearly demonstrated that modern neural networks are capable of successfully coping with creative tasks, although they have certain limitations in terms of the depth and originality of the created content. The socioeconomic consequences of the proliferation of neural networks deserve special attention. On the one hand, they create new professions and opportuni-ties, on the other, they pose complex questions for traditional specialties. The technological infrastructure for developing and applying neural network solutions is developing rapidly, offering increasingly powerful tools for researchers and developers.