For Abstract Language Model, an artificial neural network was trained with the entire charactersets represented in the Unicode Standard. The resulting complex data models contain the translation of all available human sign systems as equally representable, machine-created states. Through extraction and interpolation of these artificially created semiotic systems a transitionless universal language originates, which can be seen as a trans-human / trans-machine language. The live performance presents the states of this process from Extraction > Analysis > Rearrange > Process > Transformation > Universal Language with an audio-visual narration.