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Genie 2: A large-scale foundation world model
Generating unlimited diverse training environments for future general agents
At inference time, Genie 2 can be sampled in an autoregressive fashion, taking individual actions and past latent frames on a frame-by-frame basis. This research direction is in its early stages and we look forward to continuing to improve Genie’s world generation capabilities in terms of generality and consistency. As with SIMA, our research is building towards more general AI systems and agents that can understand and safely carry out a wide range of tasks in a way that is helpful to people online and in the real world.
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