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Self-supervised learning flips the script. Instead of telling the model what to learn from the data (transcribe this, classify that), you let the model discover structure on its own. The model learns from the raw audio itself without anyone labeling anything. This is the same insight that made BERT and GPT transformative for text: pre-train a general representation from unlabeled data, then let downstream models specialize.

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foo().await; // Deadlock!

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For example, the likes of pugs, Frenchies and English bulldogs all have issues with their breathing because of their squashed facial features and Scottish Fold cats suffer a lot from arthritis.

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