Training Object Permanence in World Models
Object permanence and solidity are hallmarks of human cognitive priors. Recent studies show that video generation models, a paradigmatic class of current world models, have begun to show emerged reasoning abilities, making them ideal candidates for building human-like physical intelligence. Do video models have emerged object permanence in them? If not, could we train them with
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Object permanence and solidity are hallmarks of human cognitive priors. Recent studies show that video generation models, a paradigmatic class of current world models, have begun to show emerged reasoning abilities, making them ideal candidates for building human-like physical intelligence. Do video models have emerged object permanence in them? If not, could we train them with
This research introduces a novel dataset and methodology for evaluating and training object permanence in world models, a crucial step towards more human-like AI. For ML engineers, understanding how to build and leverage such cognitive-inspired datasets is key to developing more robust and intelligent video generation and world models.