Imagine effortlessly redesigning your 3D virtual room with simple voice commands. No more wrestling with complicated design software! Researchers have developed EditRoom, an AI-powered tool that lets you rearrange furniture, add new pieces, and tweak the layout using natural language. This innovative technology translates your spoken instructions into actual 3D scene edits, making virtual interior design as easy as chatting with a friend. EditRoom works by first converting the 3D scene into a graph representing objects and their relationships. It then uses a large language model (LLM) similar to those powering ChatGPT, to interpret your commands. For instance, you could say, "Move the sofa closer to the window," or "Replace the coffee table with a larger one." The LLM breaks down these complex requests into smaller, actionable steps. Then, a diffusion-based model modifies the scene graph, effectively rearranging the virtual furniture according to your wishes. The modified graph is then used to rebuild the 3D scene, reflecting the changes you requested. To train this AI, the researchers created EditRoom-DB, a massive dataset of 83,000 3D room editing examples. This dataset enables EditRoom to understand a wide variety of layout changes and user instructions. Testing showed EditRoom outperforms existing methods, generating more coherent and accurate scene edits from natural language commands. While EditRoom is currently focused on indoor scenes, this approach could revolutionize various fields. From virtual and augmented reality applications to video game design and architectural visualization, the ability to effortlessly manipulate 3D environments with natural language has enormous potential. Though challenges remain in handling highly complex commands and avoiding object collisions, EditRoom represents a significant leap towards intuitive, AI-powered 3D scene editing.