Simulation environments, virtual and otherwise, are often bottlenecked by the content creation process of art design, graphical modeling, and data integration. This asset development pipeline is slow and costly, requiring specialized labor that can complicate the logistics or expose the operational security of a training objective. However, the emerging field of generative AI allows one individual to direct a single computer to build libraries of relevant, usable materials through simple voice or text prompts. Once the tools have fully matured, the net increase in productivity and speed will likely be measured in multiple orders of magnitude.

This tutorial will review and critically analyze modern sim production workflows against the next-generation approach of directed AI, and explore the numerous possible trajectories of this highly disruptive new technology. The audience will gain a deep understanding of the current generative AI methodologies with a particular emphasis on applied utility rather than theoretical potential. Together, we will walk through common simulation challenges and dissect the corresponding AI prompts that generate passable solutions within mere seconds. The audience will learn how to begin testing these new tools and be given recommendations on how to use them effectively and securely.

Keywords
3D, AI, CONTENT GENERATION, DESIGN, MACHINE LEARNING, PROTOTYPING, SIMULATIONS