This article idea pushes beyond the immediate capabilities demonstrated in the initial piece, speculating on the future potential of models like Qwen VLo. It focuses on how similar vision-language models could evolve to generate 3D assets and contribute to the creation of immersive virtual worlds. The article would explore the technical challenges involved in extending Qwen VLo's capabilities to handle 3D data, such as representing complex shapes, textures, and materials. It would discuss potential approaches for training models to generate 3D models from text prompts, sketches, or even existing 2D images. Furthermore, the article would explore the applications of AI-generated 3D assets in various industries, such as gaming, virtual realit ⚡