Are video generators the secret to better computer vision?

Researchers at Google Deepmind found a new way to use video generators. They taught a model to understand depth and object shapes in images. The system performed just as well as existing tools but used much less data.

Most of this training happened on synthetic videos instead of real photos. This proves that video generators already understand how the physical world works. They do not just copy pixels but learn the logic behind them.

This discovery changes how we look at AI development. It suggests that if we want smarter machines, we should teach them to predict video. We might have had the missing pieces for better vision all along.