Brian Cheung examines convergent representations across brains, sensory models, language models, and scientific models. He shows how alignment can emerge across architectures and modalities, how prompting can steer a model toward modality-specific structure, and why relational consistency may matter more than isolated features for both intelligence and downstream performance.