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World Models

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AI researcher Danijar Hafner builds world models to let robots plan for surprises

Danijar Hafner is developing 'world models' — AI systems that simulate physical reality — and training reinforcement-learning agents inside them so robots can anticipate outcomes before acting in the real world. This model-based approach lets agents rehearse complex tasks virtually, avoiding the costly trial-and-error training typical of conventional robotics. Hafner, a former Google Brain and DeepMind researcher who worked alongside figures like Geoffrey Hinton, is now recognized as a rising talent in AI research.

World Labs unveils Atlas, an omni world model for 3D generation and reconstruction

World Labs introduced Atlas, a multimodal autoregressive diffusion transformer pretrained from scratch to jointly handle text, images, video, and 3D data within a shared spatial context. The model can generate camera-controlled videos up to one minute at 1440p, reconstruct real-world scenes from sparse imagery into novel views and explicit 3D, and simulate space-time from video for effects and robotics workflows.