The human genome functions as a physical, tangled structure rather than a linear algorithm. Current AI models struggle to account for this spatial folding and 3D architecture. This gap limits the accuracy of genomic predictions. Researchers must now integrate physical geometry into machine learning architectures to unlock true genetic understanding.