VBVR brings reasoning to video models with 1M clips
Researchers just open-sourced VBVR, a massive dataset and evaluation suite aimed at teaching video models how to reason through time and physics. Packed with over a million video clips across 200 curated tasks, it shifts focus away from raw pixel fidelity toward spatial-temporal logic. Why it matters: This marks one of the first major scaling studies in video reasoning, revealing early signs of generalization to completely unseen tasks.