Jakub Koźniewski created this series of three generative kinetic object-poems. The aim is to externalize and
embody the thoughts and feelings of the artist undergoing an existential crisis. They use 14 segment displays (with Adafruit Backpacks), raspberry Pi Pico W‘s and salvaged motors
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The setup is based on local server (written in nodejs) that communicates
with LLM (in this case GPT 4o) trough it’s API. The model is briefed on my
state of mind and with particular kinetic-physical setup of each of three
pieces (like for example swinging motion or limit of 32 characters).
For example in case of MOOD SWING the LLM is instructed to create a series
(potentially infinite) of emotional antonyms and three “in-between”
terms, creating a sort of affective gradient – for example: EUPHORIA – JOY –
CALM – UNEASE – MISERY. Then those word-sets are downloaded as json onto the
microcontroller (Raspberry PI Pico W running micropython) and animated in
sync with physically swinging display – thus providing a visceral
performance of the emotional quiver.Apart from being based on same microcontroller and codebase (custom engine
written from scratch in micropython) each of the pieces include 14-segment
alphanumeric displays built from eight 4-char modules giving 32 chars in
total
Watch the pieces in action below in three parts: MOOD SWING, TRAIN OF THOUGHT,
RISE & SHINE
See more:
Site – https://jkozniewski.com/works/models_of_crisis/
Video – https://www.youtube.com/watch?v=lGE4bkbz7RA
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