The 3D generation subnet aims to make 3D content creation accessible to everyone, enabling the easy development of virtual worlds, games, and AR/VR/XR experiences. By unifying various open-source 3D generative models—like Gaussian Splatting, NeRFs, diffusion models, and point-cloud methods—it fosters innovation within a decentralized, incentive-driven framework powered by Bittensor. The ultimate goal is to drive a new wave of AI-native games, where assets, voices, and sounds are generated in real time, allowing anyone to build games simply by describing them—no coding or game development skills required.