Zero-shot World Models Are Developmentally Efficient Learners [R]

The Zero-shot World Model (ZWM) significantly improves AI data efficiency, enabling visual competence with orders of magnitude less data than current state-of-the-art models. Trained on a single child's visual experience, BabyZWM matches top models on diverse visual-cognitive tasks without task-specific training, advancing a path toward more efficient AI systems.