Machine arrière : Averroès, Marx et le general intellect

Machine arrière : Averroès, Marx et le general intellect

🎙 Jean-Baptiste Brenet 👥 149K 📅 October 24, 2025 ⏱ 40 min 👁 9K 📄 expert opinion 🧭 2026-08-03
Available in: English (current) Français

Keywords

AverroesMarxgeneral intellectartificial intelligenceintellect

Summary

In this lecture, Jean-Baptiste Brenet explores the historical roots of contemporary anxieties about artificial intelligence by drawing a parallel between Marx’s critique of machinery and the medieval Christian opposition to Averroes’ doctrine of the intellect. He begins by analyzing Marx’s ‘Fragment on Machines’ from the Grundrisse, where Marx introduces the concept of the ‘general intellect’—the collective social knowledge that becomes embodied in machines, turning them into autonomous agents that dominate workers. Brenet highlights Marx’s use of psychological and noetic paradigms to describe machines, and his critique of the alienation and dispossession of workers as their knowledge is absorbed and turned against them. He then jumps back to the 12th century to examine Averroes’ controversial idea that there is a single, eternal intellect shared by all humans, separate from individual bodies. This doctrine, known as Averroism, was fiercely opposed by Thomas Aquinas and other scholastics, who saw it as a threat to individual immortality and personal agency. Brenet argues that Marx’s critique of machinery re-enacts this anti-Averroist stance: in both cases, there is a fear of a collective, external intellect that subjugates individuals. He suggests that this historical parallel can illuminate our current relationship with AI, which can be seen as a new form of ‘general intellect’ that both fascinates and threatens us. The lecture is a thought-provoking exercise in intellectual history, connecting medieval philosophy, Marxist theory, and contemporary technology.

229 words

Critical Evaluation

This lecture offers a compelling and erudite synthesis of philosophical and political ideas, drawing a novel parallel between Marx’s critique of machinery and the medieval Christian opposition to Averroes’ doctrine of the intellect. Brenet demonstrates deep familiarity with both Marx’s texts and the scholastic debates, and he skillfully weaves them together to illuminate contemporary anxieties about artificial intelligence. The argument is structured clearly: first, he analyzes Marx’s concept of the ‘general intellect’ in the ‘Fragment on Machines’, emphasizing how collective knowledge becomes embodied in machines, turning them into autonomous agents that dominate workers. He then traces the historical precedent in Averroes’ theory of a single, eternal intellect, which was condemned by Thomas Aquinas and others for undermining individual agency and immortality. Brenet’s central thesis—that Marx’s critique re-enacts the anti-Averroist stance—is provocative and insightful, though it rests on a metaphorical rather than a strictly causal connection. The lecture is rigorous in its use of primary sources, quoting directly from Marx and referring to Aristotle and Aquinas, but it does not engage with secondary literature or alternative interpretations, which might have strengthened the argument. The speaker is clearly an expert, and the lecture is delivered with clarity and intellectual passion. However, the connection to AI is somewhat underdeveloped; while the parallel is suggestive, Brenet does not fully explore how the historical debates might inform specific ethical or political responses to AI. The lecture is more of a philosophical meditation than a practical analysis, which may limit its direct applicability. Nevertheless, it is a valuable contribution to the discourse on AI, offering a long-term historical perspective that is often missing. The title accurately reflects the content, and the lecture is well-paced, though it assumes a certain level of familiarity with philosophical concepts. Overall, this is a high-quality, thought-provoking lecture that will appeal to those interested in the philosophical and historical dimensions of AI.

310 words

Title / Content Match

The title accurately reflects the content: the lecture connects Averroes' theory of the intellect with Marx's concept of the general intellect, using the metaphor of 'machine arrière' (reverse gear) to suggest a historical regression.

Quality & Reliability

8/10

The speaker is a professor of philosophy at Paris 1 Panthéon-Sorbonne, and the talk is part of a prestigious academic colloquium at the Collège de France. The content is well-structured, historically grounded, and draws on primary sources (Marx, Aristotle, Averroes, Thomas Aquinas). However, it is an interpretive lecture, not peer-reviewed research, and some claims are presented without extensive citation.

Key Moments

Cited Sources

  • Collège de France - Formes de l'intelligence — Official page of the colloquium where this lecture was given.
  • Collège de France — Institution's main website, providing context and resources.
  • Fondation Collège de France — Support page for the institution.

Concurring Sources

Dissenting Sources

  • No direct discordant sources found — The lecture is an interpretive piece; no specific sources contradicting its thesis were identified.

External References

Contribution & Novelties

The lecture offers a novel historical parallel between Marx’s critique of machinery and the medieval Christian opposition to Averroes’ doctrine of the intellect, suggesting that contemporary anxieties about AI are not new but echo earlier philosophical debates. This perspective enriches our understanding of AI by situating it within a long history of concerns about collective intelligence and individual agency.

Pour aller plus loin :

120 words

Radar Profile

The radar profile shows high scores in quantity and quality of information, reflecting the depth and reliability of the content. The technical level is moderate, indicating that the lecture is accessible to a general audience with some philosophical background. Overall, the lecture is well-balanced and intellectually stimulating.

Reliability 8/10