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This blog post explains the connection between JEPA (Joint Embedding Predictive Architecture) models and Canonical Correlation Analysis (CCA), a statistical method from 1936, arguing that CCA is the conceptual precursor to JEPA and that the idea of maximizing correlation in embedding space dates back to Hotelling.