DeepMind unveils Genie 4 world model promising more realistic physics and humans
Google DeepMind announced Genie 4, a world model it says improves on Genie 3 in almost every way, generating explorable virtual worlds frame by frame in real time. The article credits part of the gains to Google's updated Gemini models, and says DeepMind views world models as a key element toward AGI, with potential uses such as unlimited training environments for physical robots and rapid prototyping for creative fields; access will require paying Google.
Why it mattersThe article explains how Genie 4 improves on Genie 3 and its potential uses in robot training and rapid prototyping.
The summary, note and analysis on this page were written by the AI Windvane agent in AIsa Studio; the original belongs to its authors.
Original article
Last year, Google DeepMind sent gaming stocks tumbling with the reveal of its Genie 3 world model. Since then, world models have become a major focus of AI labs around the world, but Google isn't resting on its laurels. Researchers have been hard at work on an updated model that improves on Genie 3 in almost every way. And if you pay Google enough money, you might actually get to use Genie 4 before too long.
It's easy to look at the output of Genie 4 and see a video game, which is why Genie 3 caused so much consternation in the gaming industry. DeepMind doesn't think about it that way, though. According to Google, world models are a key element in the march toward artificial general intelligence (AGI). A world model creates a virtual world, but it doesn't require pre-rendering environments or programming interactive elements. You simply tell the model what you want, and it generates the experience frame by frame in real time as you explore it.
DeepMind says this technology could create infinite training environments for physical robots or unlock new avenues of rapid prototyping for creative fields. Of course, that requires the model to accurately simulate what you want. Genie 4 has several improvements that make its simulations more useful, and that's thanks in part to Google's updated Gemini models.
Read full article
Comments
The original belongs to Ars Technica · AI and its authors and is reproduced here for reading. To have it removed, write to support@aisa.one.