Adaptive Edge

Adaptive Edge

Eye of the Master

27 min · 8 de may de 2025
portada del episodio Eye of the Master

Descripción

Matteo Pasquinelli's book "The Eye of the Master: A Social History of Artificial Intelligence," explores the idea that AI is not simply an imitation of biological intelligence but rather a continuation of the historical process of automating labor and social relations. The author argues that algorithmic thinking and practices are ancient, originating in social activities and rituals before being formalized mathematically and eventually mechanized. AI's development is presented not as a linear progression of scientific discovery but as deeply intertwined with the division of labor, attempts to measure and control human activity, and the historical struggles between capital and labor. The text examines key historical figures and concepts, such as Charles Babbage's analytical principles and mechanical notation, Ada Lovelace's concept of operations, and the emergence of cybernetics and pattern recognition techniques. Ultimately, the sources suggest that understanding the social and historical context of automation, including the exploitation of collective knowledge and the discipline of labor, is crucial to grasping the true nature of contemporary AI.

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episode Eye of the Master artwork

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Matteo Pasquinelli's book "The Eye of the Master: A Social History of Artificial Intelligence," explores the idea that AI is not simply an imitation of biological intelligence but rather a continuation of the historical process of automating labor and social relations. The author argues that algorithmic thinking and practices are ancient, originating in social activities and rituals before being formalized mathematically and eventually mechanized. AI's development is presented not as a linear progression of scientific discovery but as deeply intertwined with the division of labor, attempts to measure and control human activity, and the historical struggles between capital and labor. The text examines key historical figures and concepts, such as Charles Babbage's analytical principles and mechanical notation, Ada Lovelace's concept of operations, and the emergence of cybernetics and pattern recognition techniques. Ultimately, the sources suggest that understanding the social and historical context of automation, including the exploitation of collective knowledge and the discipline of labor, is crucial to grasping the true nature of contemporary AI.

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