The Platonic Representation Hypothesis

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The Platonic Representation Hypothesis Minyoung Huh Brian Cheung Tongzhou Wang Phillip Isola 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 dri

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