The human genome functions as a physical, tangled structure rather than a linear digital code. Current AI models struggle to map how this 3D spatial organization influences gene expression. This gap limits the accuracy of genomic predictions. Researchers must now integrate physical geometry into machine learning architectures to unlock true biological insight.