Multimodal machine learning is among the most promising directions of artificial intelligence. With remarkable progress in academia and industry on this topic, we are at the cusp of building next-generation multimodal models, i.e. multimodal superintelligence. These models can be defined as being able to observe, think, and act across several modalities. At this important junction, our workshop provides a forum for researchers to align and cross-polinate ideas. The Workshop on Multimodal Superintelligence will provide a venue where the community can gather to discuss the current state of multimodal machine learning science. We will also focus on topics such as cross-modal reasoning, alignment, fusion and co-learning.