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This document investigates the role of machine learning in the process of knowledge production through an ontogenetic lens, drawing on the work of philosopher Gilbert Simondon. It examines the processes of genesis and genealogy of machine learning models, exploring how these technical objects are shaped by human cognition and their implications for knowledge practices across scientific communities.

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