Google DeepMind has revealed Genie 3, its latest foundation world model that can be used to train general-purpose AI agents, a capability that the AI lab says makes for a crucial stepping stone on the path to “artificial general intelligence,” or human-like intelligence.
“Genie 3 is the first real-time interactive general purpose world model,” Shlomi Fruchter, a research director at DeepMind, said during a press briefing. “It goes beyond narrow world models that existed before. It’s not specific to any particular environment. It can generate both photo-realistic and imaginary worlds, and everything in between.”
Still in research preview and not publicly available, Genie 3 builds on both its predecessor Genie 2 (which can generate new environments for agents) and DeepMind’s latest video generation model Veo 3 (which is said to have a deep understanding of physics).
Image Credits:Google DeepMind
With a simple text prompt, Genie 3 can generate multiple minutes of interactive 3D environments at 720p resolution at 24 frames per second — a significant jump from the 10 to 20 seconds Genie 2 could produce. The model also features “promptable world events,” or the ability to use a prompt to change the generated world.
Perhaps most importantly, Genie 3’s simulations stay physically consistent over time because the model can remember what it previously generated — a capability that DeepMind says its researchers didn’t explicitly program into the model.
Fruchter said that while Genie 3 has implications for educational experiences, gaming or prototyping creative concepts, its real unlock will manifest in training agents for general purpose tasks, which he said is essential to reaching AGI.
“We think world models are key on the path to AGI, specifically for embodied agents, where simulating real world scenarios is particularly challenging,”Jack Parker-Holder, a research scientist on DeepMind’s open-endedness team, said during the briefing.
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Image Credits:Google DeepMind
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