VIBE is a new test that checks how well image-editing AI models follow visual instructions like arrows, boxes, and sketches—not just text.
The paper teaches a game-playing AI to copy good human players (behavior cloning) and shows that simply scaling up the model and the data makes the AI reason more causally (it pays attention to what truly causes outcomes on screen).