Abstract Language Model

Andreas Lutz (DE)

For Abstract Language Model, an artificial neural network was trained with the entire character sets represented in the Unicode Standard (over 65,000 characters in the basic multilingual plane system). The resulting complex data models contain the translation of all available human sign systems as equally representable, machine-created states including latent points, where the most accurate representation of the characters is achieved. 

However, between these points interpolation becomes possible, which means that among two previously distinct characters now infinite characters come into existence, which can be seen as the origin of a purely machine created semiotic system. The revealing of these obscured variants between the known characters leads to the idea of a transitionless or non-binary universal language, which could be expressed by a self-conscious machine to its human counterpart and vice versa. 

The visualizations of these processes are displayed in the 4-channel video installation Abstract Language Model (Sync). Consisting of four synchronized visualizations with seven different states (Extraction, Analysis, Rearrange, Process, Transformation, Learning, and Language), the audio-visual sequence is based on a real-time interpolation through the trained models and depicts the transformation into a trans-human / trans-machine language. 

Abstract Language Model (Live) is the audio-visual live performance pendant of the installation. The 45 minutes long performance is presented as a one-channel version with real-time generated visuals and stereo sound. 

Having employed also in previous works the conceptual idea of an assumed language model for self-conscious machines and their possible expressions, Abstract Language Model now serves as the semiotic system for current versions of these sculptures and installations. 

For Abstract Language Model, an artificial neural network was trained with the entire character sets represented in the Unicode Standard (over 65,000 characters in the basic multilingual plane system). The resulting complex data models contain the translation of all available human sign systems as equally representable, machine-created states including latent points, where the most accurate representation of the characters is achieved. 

However, between these points interpolation becomes possible, which means that among two previously distinct characters now infinite characters come into existence, which can be seen as the origin of a purely machine created semiotic system. The revealing of these obscured variants between the known characters leads to the idea of a transitionless or non-binary universal language, which could be expressed by a self-conscious machine to its human counterpart and vice versa. 

The visualizations of these processes are displayed in the 4-channel video installation Abstract Language Model (Sync). Consisting of four synchronized visualizations with seven different states (Extraction, Analysis, Rearrange, Process, Transformation, Learning, and Language), the audio-visual sequence is based on a real-time interpolation through the trained models and depicts the transformation into a trans-human / trans-machine language. 

Abstract Language Model (Live) is the audio-visual live performance pendant of the installation. The 45 minutes long performance is presented as a one-channel version with real-time generated visuals and stereo sound. 

Having employed also in previous works the conceptual idea of an assumed language model for self-conscious machines and their possible expressions, Abstract Language Model now serves as the semiotic system for current versions of these sculptures and installations. 

www.andreaslutz.com/abstract-language-model-sync/
www.andreaslutz.com/abstract-language-model/

Concept, technical development, visual development and sound: Andreas Lutz
Technical support: Hans Peter Raber and Mickey van Olst
Production support: Pierre-Elie Chapuis (Un Singe en Hiver)
Conceptual support and feedback: Lucrezia Naglieri 

Andreas Lutz (DE) (*1981 in Freiburg / Germany) explores in his works the human machine relation with the approach, to create integrated and universal communication systems. Within these boundaries, he analyzes and reveals phenomena of perception versus reality and principles of abstract aesthetics with sculptures, installations, and performances. The creation of experimental soundscapes and the relation of semiotics and sound are further aspects of his work. 

Andreas Lutz (DE) (*1981 in Freiburg / Germany) explores in his works the human machine relation with the approach, to create integrated and universal communication systems. Within these boundaries, he analyzes and reveals phenomena of perception versus reality and principles of abstract aesthetics with sculptures, installations, and performances. The creation of experimental soundscapes and the relation of semiotics and sound are further aspects of his work. 

Abstract Language Model is an artificial neural network trained on more than 65,000 Unicode characters; artist Andreas Lutz turns this dataset into two forms: a four-screen installation that interpolates through the learned glyphs and a 45-minute live audiovisual performance. In the installation, the characters serve as plastic, moving elements that form textures and compositions echoing seven computational states: Extraction, Analysis, Rearrangement, Processing, Transformation, Learning, and Language. The work offers a stage for latent alphabets to exist and expands animation by using techniques from text-processing algorithms. 

Abstract Language Model is an artificial neural network trained on more than 65,000 Unicode characters; artist Andreas Lutz turns this dataset into two forms: a four-screen installation that interpolates through the learned glyphs and a 45-minute live audiovisual performance. In the installation, the characters serve as plastic, moving elements that form textures and compositions echoing seven computational states: Extraction, Analysis, Rearrangement, Processing, Transformation, Learning, and Language. The work offers a stage for latent alphabets to exist and expands animation by using techniques from text-processing algorithms.