LaLa-World: Can Language Scale Latent World Models for Robots?
Can natural language let one robot world model learn from incompatible control logs and ordinary video? This episode explains how LaLa-World unifies transition conditioning while keeping future prediction in visual feature space. ([june-page.github.io](https://june-page.github.io/lala-world/)) We unpack three findings: joint training improves average simulated planning success over JEPA-WMs; image and video co-training improves robustness to reworded actions; and predictive pretraining transfers into an action-generating policy. ([github.com](https://github.com/junha1125/LaLa-World)) The…
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