AICYJun 29

The Many-Body Problem of the Data Centre

arXiv:2606.302067.3
Predicted impact top 73% in AI · last 90 daysOriginality Synthesis-oriented
AI Analysis

This is a philosophical/economic analysis for AI theorists and sociologists, offering a novel perspective but no empirical results or technical contributions.

This paper argues that data centres function as the 'body' of AI, embodying capital and human desires, and identifies a 'many-body problem' in their non-unique embodiment. It concludes that capital prices intelligence uniformly across organic and mechanical forms, enabling comparison.

Modern Artificial Intelligence is often framed as limited by its own disembodiment, as if giving it a body would unlock its true potential. We argue to the contrary that it is the Data Centre that is, in many cases, the body of the AI. At the same time, the Data Centre is part of the labouring body of Capital and possesses staggering organismic qualities when seen through a biological lens. We elucidate the organic analogy and identify the many-body problem that stems from the Data Centre being a non-unique, universal form of embodiment. We identify the intimate connection between computation and human desires in how the Data Centre archives, serves, and computes on data born to the desires of humans. Strikingly, while the Data Centre echoes the ghosts of human desires, it acts without desire of its own. The organismic analogy begins to split at its seams, but Capital does not care. Automata and human labour are priced into the market much the same. We argue that through the pricing of artificial intelligence Capital distils most clearly the value of intelligence and allows for its comparison across the organism - mechanism divide.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes