Viggle published this on Oct 19, 2026 (source: viggle.ai).
Viggle introduced JST-2, which it calls a physics-native world foundation model that represents scenes as persistent atoms in 3D space instead of learning in pixel space. Viggle says JST-2 generates a 3D scene, decoded into Gaussian splats for browser rendering, in about one second on NVIDIA B200 at an inference cost below $0.01, and accepts up to 64 input views so a world can be expanded one view at a time. The same model creates 3D characters with motion built in from a single image or text, generates full-body motion from text or video, and reconstructs 3D environments from sparse real-world images. The speed and benchmark comparisons are Viggle's own.
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