Google DeepMind has recently introduced an innovative artificial intelligence (AI) model named Scalable Instructable Multiworld Agent (SIMA) that has the capability to play 3D video games with human-like precision. This groundbreaking AI model is being trained to interact with various gaming environments and perform a wide range of tasks. The ultimate goal of the SIMA model is not to create a super-intelligent gamer, but rather to teach it how to navigate through 3D games in open-world scenarios using natural-language instructions.
To provide a diverse learning environment for the SIMA model, Google DeepMind collaborated with eight different game studios and exposed the AI model to nine distinct video games. These games included popular titles such as No Man’s Sky, Teardown, Goat Simulator 3, Valheim, and more. Through these games, the SIMA model had to learn tasks like navigating the world, interacting with objects, using menus, and more. Additionally, Google DeepMind created special research environments like the Construction Lab, where the AI model was challenged to build sculptures from building blocks to test its object manipulation skills and intuitive understanding of the physical world.
Evaluation and Future Development:
The current version of the SIMA model underwent evaluation based on 600 basic skills, ranging from simple tasks like turning left and driving a car to more complex activities like climbing a ladder and crafting a helmet. These tasks were designed to be completed within 10 seconds, showcasing the AI model’s ability to quickly adapt and learn. Google DeepMind is now focusing on training the SIMA model with more complex instructions that require strategic planning and multiple sub-tasks to be completed, such as finding resources and building a camp. The company believes that mastering these skills in virtual environments can have significant real-world applications.
Google DeepMind’s initiative to train an AI model on a diverse set of 3D video games, where it follows human instructions and acts accordingly, has the potential to revolutionize the gaming industry and AI technology as a whole. By teaching the SIMA model how to interact with gaming environments in a human-like manner, Google is paving the way for AI systems that can understand and respond to natural-language instructions in various scenarios. The company’s efforts to develop an AI model that can perform high-level strategic planning and complex tasks have far-reaching implications not only in gaming but also in areas where AI can assist humans in problem-solving and decision-making.
Google DeepMind’s SIMA model represents a significant advancement in the field of AI gaming and has the potential to shape the future of artificial intelligence. By combining innovative technology with interactive learning environments, Google is pushing the boundaries of what AI systems can achieve. As the SIMA model continues to be trained and developed, we can expect to see even more remarkable applications and advancements in AI technology in the near future.
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