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The Platonic Representation Hypothesis

2024/05/13 by Minyoung Huh, Huh, Minyoung, Brian Cheung +5 · 37 voices · 160 citations
Arts and Humanities · #Classical Philosophy and Thought #Computer science #Political science #Politics #Representation (politics)

paper · pdf · doi:10.48550/arxiv.2405.07987

published in arXiv (Cornell University) (Cornell University)

openalex publication_date 2024/05/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

We argue that representations in AI models, particularly deep networks, are converging. First, we survey many examples of convergence in the literature: over time and across multiple domains, the ways by which different neural networks represent data are becoming more aligned. Next, we demonstrate convergence across data modalities: as vision models and language models get larger, they measure distance between datapoints in a more and more alike way. We hypothesize that this convergence is driving toward a shared statistical model of reality, akin to Plato's concept of an ideal reality. We term such a representation the platonic representation and discuss several possible selective pressures toward it. Finally, we discuss the implications of these trends, their limitations, and counterexamples to our analysis.

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