Image tokenizers and the visual language AI models learn

A post introducing research on unified multimodal training describes image tokenizers as more than tools for compressing and reconstructing pixels. It argues that they define the visual language a single model must learn, align with text, and use for both understanding and generation. The post cautions that the best compressor may not produce the easiest language to learn.