Google DeepMind has introduced Genie 3, the latest version of its AI model designed to create virtual, interactive 3D worlds from simple text instructions.
DeepMind, the elite AI research division of the tech giant and one of the most advanced globally, describes Genie 3 as a new frontier for generative models. And with good reason — if it delivers on its promises, it could generate a previously unimaginable diversity of interactive environments. Beyond that, it hints at a future where AI could be responsible for creating the video games we play.
Genie 3: Smarter, Faster, More Powerful
AI development continues to progress at a rapid pace. Just seven months after the release of Genie 2, Google has introduced Genie 3 — a version that not only performs the same task (creating 3D worlds from text prompts), but does so with major improvements.
Genie 3 can generate real-time environments at 24 frames per second and 720p resolution, a significant upgrade from Genie 2’s 360p resolution and 10–20 second rendering time.
The new model simulates natural phenomena with impressive realism — including water flow, lighting effects, and complex environmental interactions. It can generate entire ecosystems, complete with lifelike animal behaviors and intricate plant growth patterns. Additionally, Genie 3 can build imaginative fantasy worlds, featuring expressive animated characters, and can even recreate historical settings or distant places with stunning fidelity.
How It Works
According to Google, this unprecedented level of real-time interactivity and control is made possible through significant technical advances. For each generated frame, the model takes into account the trajectory of previous frames — essentially building on a growing timeline. Environments generated by Genie 3 remain visually consistent for several minutes, with a visual memory spanning up to one minute.
This is particularly remarkable, as the system can create a vast array of fictional or realistic 3D environments while accurately replicating the physical rules within them.
Potential Applications
“We’re excited to see how Genie 3 can be used to create next-generation video games and entertainment,” says the DeepMind team, highlighting gaming as one of the main use cases. But this is only the beginning. Google envisions applications in education, worker training, and even robotics.
Currently, Genie 3 is in testing, available to a limited group of researchers and creators. Google plans to expand access in the future. While the hardware requirements for implementing the model have not yet been disclosed, they are expected to be significant.