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Why World Models Like Google’s Project Genie Work [Forbes]
Last alphabet inc. - class c capital stock earnings: 4/28 04:02 pm
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Google just did something remarkable. With Project Genie, now rolling out to AI Ultra subscribers, they have released a system that can generate interactive, navigable worlds in real time from nothing more than a text prompt. You describe a volcanic wasteland, an enchanted forest or ancient Athens and you can step into it and walk around. The worlds maintain consistency for minutes at a time, running at 24 frames per second in 720p resolution. In other words, this is not mere video generation. It is internally consistent world generation. Genie 3, the model powering this experience, represents a fairly unique kind of AI system: a general purpose world model. Unlike previous approaches that required hardcoded physics engines and pre-built environments, Genie 3 learns how the world works through autoregressive generation. It predicts how environments evolve and how actions affect them. It simulates physics, interactions and dynamics on the fly. But the deeper question is: why does
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