November 11, 2025 Research Your browser does not support the audio element. Listen to article 10 minutes New research shows that reorganizing a model’s visual representations can make it more helpful, robust and reliable “Visual” artificial intelligence (AI) is everywhere. We use it to sort our photos, identify unknown flowers and steer our cars. But these powerful systems do not always “see” the world as we do, and they sometimes behave in surprising ways. For example, an AI system that can identify hundreds of car manufacturers and models might still fail to capture the commonalities between a car and an airplane, i.e. both are large vehicles made primarily of metal. To better understand these differences, today we’re publishing a new paper in Nature analyzing the important ways AI systems organize the visual world differently from humans.…