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Resisting epistemic loss in AI image generation.

Abdullah Hasan Safir¹, Alan F Blackwell², Ramit Debnath³

¹Collective Intelligence and Design Group, University of Cambridge, Cambridge, UK.

Patterns (New York, N.Y.)

|June 22, 2026

Summary

This summary is machine-generated.

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Non-equilibrium in the Cell

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

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Current AI image generators produce generic outputs. Viewing AI art as cultural processes and considering marginalized artists

Area of Science:

Artificial Intelligence (AI)
Sociotechnical Systems
Digital Art and Culture

Background:

Current vision-language models (VLMs) exhibit a tendency towards generating overly generic outputs, limiting creative and nuanced expression.
Existing research often focuses on the technical aspects of AI image generation, overlooking broader societal and cultural implications.

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