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Because language is an isomorphic mapping to the world, learning to predict language means you're learning to predict patterns that occur in the world.

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It's common in speech coding (e.g. a vocoder) to rely on a thing that reconstructs the 'meaning' of a signal by predicting its 'full' representation.

This act of predicting then is also a form of compressing, by predicting the full representation from its lossy analogue you require less bandwidth to transmit messages just like if you'd used a non-stochastic compression technique.

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