The human genome functions as a physical, tangled structure rather than a linear digital code. This spatial complexity complicates efforts by AI researchers to predict genetic outcomes using standard sequence models. Current tools struggle with these three-dimensional interactions. Practitioners must integrate structural biology to move beyond simple pattern recognition in genomic data.