The traditional model of feeding large data sets into a machine learning ‘cycle’ to curate intelligence and in its later stages provide us with advice, narrative or point of reference, hangs on the ledge with ‘our’ data sets. But instead of making the often-discussed point on AI topics, let us make the case of biology for Automation, a cellular automaton.

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