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Date
2023-08-10Type
- Presentation
ETH Bibliography
yes
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Abstract
Artificial Intelligence and Large Language Models offer a glimpse into a
veritable meta-verse, a world newly reticulated not only by technical or digital
objects but by vectorial hyperobjects that operate in the hyperdimensionality
of language. Located far outside the visible, familiar Euclidean space, the
world we find ourselves in bestows us with hyper-blindness, starkly opposed
to the hyper-vision computer graphics affords us. This vectorial world
withdraws from being conventionally analyzed; I propose that while it cannot
be queried like a database, it can be quested. This talk explores the
architectonics of a coded quest as a method to access the vectorial world,
drawing on notions from philosophy, philology, literature, and mathematics.
Building on a custom-collected, massively multi-modal corpus consisting of
thousands of books, 3D scans, sounds, and material entries, it describes how
each of these corpuscles can be encoded with constellations of neural nets
into words and numbers: each a vector indexing a place in the vectorial
world. Moved according to the cosmo-technical mechanics of self-organizing
models, these vectors self-organize into a map of the abysmal vectorial world,
into which to venture with spectral guides and probabilistic pack animals
carrying semantic burdens: epic quests can unfold in unfathomable openness,
where novel stories are retold between things and nothings. Show more
Publication status
unpublishedEvent
Organisational unit
03563 - Hovestadt, Ludger / Hovestadt, Ludger
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ETH Bibliography
yes
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