This essay addresses algorithmic media through the conceptual lens of divination, arguing that artificial intelligence today functions as a prophetic technology and can be understood as the divinatory practice of the fourth industrial revolution. It examines the predictive logic that defines algorithmic systems, not only in applications such as behavioural targeting, user recommendation, or decision-making, but in their fundamental operationality which consists in generating data-driven forecasts based on probabilistic models. The analysis situates this predictive logic within a broader media ecology structured by pre-emption, premediation, and feed-forward dynamics, showing how an anticipatory attitude shapes both technological infrastructures and affective-cultural orientations. It contends that the probabilistic modelling enacted by AI systems not only echoes long-standing practices of foresight but also underpins the foundations of modern science and informs contemporary neuroscientific conceptions of the mind and of human beings as forward-looking agents. By reframing AI as a predictive technology, the essay foregrounds the epistemological and political implications of algorithmic technocultures, raising critical concerns about how algorithmic foresight risks foreclosing futurity itself, and calling for the cultivation of fortune-telling competences.

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Prophetic Machines. Algorithmic Media as Late-Capitalism Divination

  • Anna Caterina Dalmasso

摘要

This essay addresses algorithmic media through the conceptual lens of divination, arguing that artificial intelligence today functions as a prophetic technology and can be understood as the divinatory practice of the fourth industrial revolution. It examines the predictive logic that defines algorithmic systems, not only in applications such as behavioural targeting, user recommendation, or decision-making, but in their fundamental operationality which consists in generating data-driven forecasts based on probabilistic models. The analysis situates this predictive logic within a broader media ecology structured by pre-emption, premediation, and feed-forward dynamics, showing how an anticipatory attitude shapes both technological infrastructures and affective-cultural orientations. It contends that the probabilistic modelling enacted by AI systems not only echoes long-standing practices of foresight but also underpins the foundations of modern science and informs contemporary neuroscientific conceptions of the mind and of human beings as forward-looking agents. By reframing AI as a predictive technology, the essay foregrounds the epistemological and political implications of algorithmic technocultures, raising critical concerns about how algorithmic foresight risks foreclosing futurity itself, and calling for the cultivation of fortune-telling competences.