Codex Virtualis is an AI-art-science research framework oriented towards the image synthesis and evolution of an open-ended taxonomic collection of new-to-nature speculative life forms. An aesthetic journey through an ecosystem of neural networks and algorithms that reflects on the role form and association account for changes in the natural world.  

Codex Virtualis is rooted in a field of analogies that symbolically compares genetic expression with probabilistic data distribution, transfer learning with genetic recombination, and horizontal gene transfer with style transfer to materialize a continuous morphogenesis source in a virtual environment. In this sense, within the core of this project lies the exploration of a life and life-simulation morphological interplay, a space from which a meta-deep biosphere emerges within the technosphere. 

Codex Virtualis can be understood as readymade technologies and theoretical frameworks that seek to sharpen our perception of the creative function in machine terms and question conventional definitions of life, experimenting with algorithmic behavior that progressively may become novel computational lifeforms in themselves. 

The project contributes to a cultural and artistic contemporary praxis inquiring around the concept of life through ancestral codices, building an epistemic bridge between microbiological morphology and artificial intelligence to imagine deep interspecific speculative relations.