Corresponding author Prof. Xiao Cheng Zeng emphasized the study's technical significance: "We needed AI's help to learn and uncover these hidden physical characteristics." The research could impact understanding of water in biological systems and geological processes. While immediate next steps include experimental validation of the identified characteristics, the work represents a paradigm shift in studying liquid water. This molecular-level evidence validates the controversial two-state model, potentially reshaping fields from materials science to climatology.