There has been a slow progress in computer vision in the last ~5 years. We are still not close to human performance. This is in contrast to language understanding which has been solved - LLMs understand text on a human level (even if they have other limitations). But vision isn't solved. Foundation models struggle to segment some objects, they don't generalize to domains such as scientific images, etc. I wonder what's missing with models. We have enough data in videos. Is it compute? Is the task not informative enough? Do we need agency in 3D?