Bogna Konior

The Dark Forest Theory of the Internet investigates how intelligence-human and artificial-manifests under conditions of secrecy, hostility, and concealment. 

Departing from Chinese science fiction writer Liu Cixin's dark forest theory, which frames the universe as a hostile terrain filled with predators where transparent communication is foolish and dangerous, the book portrays the internet as a cosmic war machine, teeming with existential tension, nascent AI cults, and deceptive superintelligences. It maps a digital world in which deception is safety, silence is strategy, and new forms of intelligence emerge through obfuscation. 

Against decades of writing that moralizes or diagnoses online life, this book suggests a colder thesis: that intelligence itself is mutating under pressure, learning to hide, mislead, and manipulate. Humans are both predator and prey in this digital ecosystem of information exchange whose purpose reverberates on a cosmic scale, weaving us into inescapable patterns of violence. When we break with the ideals of dialogue and open expression, what forms of intelligence and morality survive in their absence? Intelligence does not reward the loudest voice, but the most secretive presence. The future belongs to the quietest signal.

Visions of the contested future of AI veer between common planetary goals and a new Cold War as culturally-specific models of intelligence, speculative traditions, and thought experiments come up against the emergence of novel forms of cognition that cannot be reduced to any historical cultural tradition.

This uniquely-positioned volume provides expert insight into this tension, using China as a touchstone for rethinking ‘artificiality’ and ‘intelligence’ as sites of difference in a way that is already present in the difficulty of precisely translating the Chinese term 人工智能.

Spanning borders between different worlds, histories, futures, and foundational models, Machine Decision is Not Final is not only a timely reappraisal of the stakes of AI development, but a toolbox for constructing more global imaginaries for the future of AI.

Moving beyond the clichés that still dominate the contemporary debate, this interdisciplinary, cross-cultural collection decenters familiar narratives to provide a fresh perspective on what artificial intelligence is today, and what it might become.

Contributors: Blaise Agüera y Arcas, An Bo, Benjamin Bratton, Chen Qiufan, Gabriele de Seta, Shuang L. Frost, Vincent Garton, Steve Goodman, Yvette Granata, Anna Greenspan, Amy Ireland, Bogna Konior, Vincent Lê, Lawrence Lek, Lukáš Likavčan, Suzanne Livingston, Iris Long, Bingchun Meng, Reza Negarestani, Wang Hongzhe, Regina Kanyu Wang, Xin Wang, Xia Jia, You Mi.