Cognitive Infrastructures

In this paper, we explore several conjectural scenarios for the development of artificial intelligence as a force animating the physical infrastructures of everyday life. We do so by foregrounding the real and potential co-evolution of natural and machine intelligence in relation to one another. The proposals are diverse and developed semi-independently in the context of a one month intensive research studio. However, if imagined as a single integrated speculation described from different vantage points, it might be as follows: the executable embedding of a society of digital twins of brain organoids that run in slow computational time by driving artificial epidermal mediated distributed organs, are in turn part of xenomorphic biohybrid robotic phenotypes that produce various levels of nested minimum viable interiorities with which human-users deploy inverted embedding visualizations to learn new game theoretic dynamics through adaptive anti-transitivity, shifting asymmetries of mutual mind modeling, and carefully calibrated novelty-inducing disalignments. The composite assemblage would be fixed in a long-term durational imprint backed up on a highly durable substrate for long-term decoding.

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Published
2025-05-04
DOI
https://doi.org/10.1162/anti.5czg
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
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article

Cognitive Infrastructures

Tyler Farghly, Ionela Ionescu, Angela Milne, William A. Morgan et al.
Cognitive Science and Mapping
article

Cognitive Infrastructures

Tyler Farghly, Ionela Ionescu, Angela Milne, William A. Morgan, Jackie Kay, Jenn Leung, P. Tomei, Gary Zhexi Zhang, Winnie Street, Murad Khan, D Cavalli, Ivar Frisch, Sonia Bernaciak, Chloe Loewith, Michelle Chang, Yannis Siglidis, Cezar Mocan
article en

Abstract

In this paper, we explore several conjectural scenarios for the development of artificial intelligence as a force animating the physical infrastructures of everyday life. We do so by foregrounding the real and potential co-evolution of natural and machine intelligence in relation to one another. The proposals are diverse and developed semi-independently in the context of a one month intensive research studio. However, if imagined as a single integrated speculation described from different vantage points, it might be as follows: the executable embedding of a society of digital twins of brain organoids that run in slow computational time by driving artificial epidermal mediated distributed organs, are in turn part of xenomorphic biohybrid robotic phenotypes that produce various levels of nested minimum viable interiorities with which human-users deploy inverted embedding visualizations to learn new game theoretic dynamics through adaptive anti-transitivity, shifting asymmetries of mutual mind modeling, and carefully calibrated novelty-inducing disalignments. The composite assemblage would be fixed in a long-term durational imprint backed up on a highly durable substrate for long-term decoding.

University of London (GB), École nationale des ponts et chaussées (FR), Royal College of Art (GB), Utrecht University (NL), University of Cambridge (GB), University of Oxford (GB), École Normale Supérieure (BI), Google (United Kingdom) (GB), University College London (GB), University of the Arts London (GB)
Openalex Percentile: Top 96%
Cognitive Science and Mapping
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