Three-dimensional folding of DNA creates structural dependencies that current AI models struggle to map. Geneticists argue that treating the genome as a linear sequence ignores the physical tangles that regulate gene expression. This gap limits the accuracy of predictive biology. Researchers must now integrate spatial geometry into machine learning architectures to unlock true genomic understanding.