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> As I'm writing this, I'm deciding the next few words to type based on my last few. If so you could have written this as a newborn baby, you are determining t

• thomashop 2y ago
  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. https://arxiv.org/html/2405.07987v5 https://arxiv.org/html/2405.07987v5