World Model Data Pipeline

Video-generation models can learn defects in their training footage. Reka AI reports tracing blocky generated videos to compression artifacts in its source datasets. That discovery forced decisions about rechecking or discarding material while training was already underway, illustrating why data inspection affects the pictures a model eventually produces. The company describes the incident in its pipeline case study.

Its filtering process balances that inspection against processing cost: lightweight checks decide which videos merit more expensive analysis, and feedback from model training informs stronger checks upstream. The engineering challenge is catching defects early enough to avoid spending further resources preparing and learning from unsuitable footage.