According to Google DeepMind, researchers have accelerated embodied AI agent research by placing the SIMA agent in a Genie 3 simulated environment with a defined goal. In this setup, the SIMA agent interacts with the virtual world while Genie 3 generates dynamic responses, all without explicit knowledge of the agent's objective (source: Google DeepMind, August 5, 2025). This method enables realistic, goal-driven training scenarios for AI agents, improving their adaptability and decision-making in complex environments. Such advancements are crucial for developing more sophisticated embodied AI solutions applicable to robotics, autonomous systems, and interactive virtual assistants.