Raw pixels have just outperformed vision encoders across every benchmark. Most multimodal AI systems today rely on stitching together separate components. One encoder processes images, while another generates them. This division causes misalignment and prevents true end-to-end training. A new paper, titled Tuna-2, introduces a breakthrough approach.