The human genome functions as a tangled physical structure rather than a linear digital code. This spatial complexity complicates efforts by Google DeepMind and other researchers to predict genetic behavior using standard sequence models. Current AI architectures struggle with these three-dimensional interactions. Practitioners must integrate structural biology to improve genomic prediction accuracy.