Structural Generative Transmission (STB): A Bio-Inspired Framework for Transmitting the Potential of Data Rather Than Data Itself

We propose Structural Generative Transmission (STB), a bio-inspired framework for data transmission that fundamentally departs from classical compression theory. Rather than transmitting data and reducing its entropy through encoding, STB transmits the minimal generative instructions from which the original data can be reconstructed at the receiver. The framework draws its architecture from molecular biology — specifically from DNA replication, ribosomal translation, and bacteriophage infection — to formalize a five-layer system in which data never traverses the channel. Theoretical compression ratios range from 2.8x for lossless exact-tolerance data to 300,000x for structured perceptual media. Version 1.0 — Part II in preparation.