TLDR: Demis Hassabis, CEO of Google DeepMind, has unveiled a groundbreaking development where an AI agent, Sima, is playing games within virtual worlds generated by another AI model, Genie 3. This phenomenon, described as ‘AI in the mind of another AI,’ opens new avenues for AI training and development.
Google DeepMind CEO Demis Hassabis recently revealed a fascinating advancement in artificial intelligence: an AI agent is actively playing games within a world generated by another AI. This innovative setup involves Google’s world model, Genie 3, which is capable of creating interactive game environments from simple prompts. The game-playing AI agent, known as Sima (simulated agent), then navigates and interacts within these dynamically generated worlds.
Hassabis described this as ‘AI in the mind of another AI,’ highlighting the profound implications of one AI system operating within the conceptual space created by another. He expressed his excitement in a podcast, stating, ‘It’s so exciting in multiple dimensions.’
Genie 3’s ability to generate worlds on the fly allows for an unprecedented level of interaction. Sima, designed to take controls and play existing computer games, is now being integrated into Genie 3. This means Sima decides on actions, such as finding a key in a room, and sends commands as if playing a normal game, while Genie 3 simultaneously generates the game world in response.
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The potential applications of this ‘mind-bending idea’ are vast. Hassabis noted that this system could be incredibly useful for generating ‘unlimited training data.’ This capability is particularly promising for fields like robotics and for the broader training of general AI systems, offering a scalable and dynamic environment for AI agents to learn and evolve. The concept essentially involves an ‘artificial’ agent engaging with an ‘artificial’ game, with the agent’s actions, being AI-driven, not entirely predictable.
