Whenever the observer's learning process ( which may be a predictive neural network-see also Neuroesthetics ) leads to improved data compression such that the observation sequence can be described by fewer bits than before, the temporary interestingness of the data corresponds to the number of saved bits.

Whenever the observer's learning process ( which may be a predictive neural network ) leads to improved data compression such that the observations can be described by fewer bits than before, the temporary interestingness of the data corresponds to the number of saved bits, and thus ( in the continuum limit ) to the first derivative of subjectively perceived beauty.

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