Toward a deeper understanding of the way AI agents see things

This post details a study on AI agents learning to communicate about images. The research found that agents relied on low-level feature similarities rather than conceptual understanding of image content. This finding is significant for designing future AI systems that aim for more natural communication strategies by understanding the visual semantics agents use.