LeCun co-authored stable-worldmodel, a unified open-source world model research platform, accepted to NeurIPS 2026
sachdh · x · 2026-09-25
stable-worldmodel (swm) has been accepted to NeurIPS 2026, with authors including Yann LeCun and Randall Balestriero (12 total).
The paper argues world model research is fragmented by fragile one-off codebases, slow video data loading, and the lack of standardized generalization benchmarks. swm delivers:
- A high-performance Lance-based data layer with native support and conversion tools for MP4, HDF5, and LeRobot datasets
- Clean implementations of modern world model baselines and planning solvers
- A broad suite of environments extended with controllable visual, geometric, and physical factors of variation for systematic evaluation of dynamics understanding, control, representation quality, and OOD generalization
By unifying the full pipeline in one scalable framework, it aims to eliminate redundant research infrastructure work.
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