Aug 3, 2025, 7:00 PM
Aug 3, 2025, 7:00 PM

AI model Genie 2 creates immersive 3D worlds for robotics training

Highlights
  • Google DeepMind CEO Demis Hassabis showcased Genie 2, an AI model that creates 3D interactive environments.
  • The model can transform static images into interactive game-like worlds, emphasizing its capabilities in training AI agents.
  • The technology has practical implications for robotics and learning, utilizing existing geographic data for improved training.
Story

In the United Kingdom, specifically London, Demis Hassabis, the CEO of Google DeepMind, recently showcased an innovative AI model called Genie 2. This demonstration took place during an episode of 60 Minutes, revealing Genie 2's ability to generate three-dimensional interactive environments from single static images. This technology is not only entertaining but also holds significant potential for practical applications, particularly in the realm of robotics training. During the unveiling, a team member, Jack Parker-Holder, illustrated Genie 2's capabilities by utilizing a photograph taken from a waterfall's peak in California. By inputting this image, Genie 2 transformed the scene into a game-like interactive environment, where users could explore and navigate the simulated landscape. This innovative approach emphasizes AI's growing capacity to create immersive experiences that mimic real-world environments. The implications of this technology extend beyond entertainment. Hassabis noted that such models could aid in training AI agents capable of performing various tasks, thereby enhancing their learning and adaptability. Furthermore, it presented a conversation about leveraging existing geographic data from Google’s platforms like Google Earth and Google Maps to enrich these training experiences. The advancements showcased in this demonstration highlight a pivotal moment in AI development. As technologies like Genie 2 evolve, they not only enhance the interactive gaming experience but can fundamentally reshape how robots learn and interact with the physical world, paving the way for practical applications in numerous fields, including robotics and education.

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