From emergent note systems to designed knowledge architectures, a staged evolution of epistemic control and persistence.The first movement begins with the recognition that knowledge does not endure by virtue of its truth-value but through its material conditions of persistence. Early systems such as personal note-taking practices—epitomised by Niklas Luhmann’s Zettelkasten—operate through accumulation, linkage and recursive reference, producing a dynamic yet fundamentally contingent archive. Here, cognition is externalised but not yet architecturally governed; it survives insofar as it remains navigable. Socioplastics advances this premise by asserting that persistence must be designed, not incidental, transforming storage into a deliberate epistemic infrastructure.

The second movement introduces a critical bifurcation: emergent versus preconfigured scale. Luhmann’s system generates complexity through local decisions and lateral associations, allowing structure to arise organically. By contrast, Socioplastics imposes a scalar hierarchy—node, Century Pack, Tome, Field—thereby instituting an a priori order of intelligibility. This is not merely a formal distinction but a logical one: emergence privileges adaptability, whereas design privileges legibility and transmissibility. The shift marks a transition from epistemic ecology to epistemic engineering. The third movement complicates this trajectory by identifying a necessary limit: not all knowledge benefits from fixation. Philosophical traditions surrounding tacit knowledge, particularly those associated with Michael Polanyi, demonstrate that certain forms of understanding—intuitive, embodied, situational—lose efficacy when over-articulated. Socioplastics, at its most mature, must therefore incorporate selective opacity as a structural principle, recognising that epistemic value sometimes resides in controlled evanescence rather than permanent inscription. The fourth movement reframes classification as a political act of ordering reality. Any system that determines what is recorded, how it is tagged and how it circulates inevitably produces inclusions and exclusions. This insight aligns with infrastructural critiques advanced by thinkers such as Geoffrey Bowker, for whom classification systems are constitutive of social worlds. Within Socioplastics, metadata and nodal criteria thus function not as neutral descriptors but as instruments of epistemic governance. The final movement resolves the sequence through the demand for replicable external validation. A system that claims autonomy from its author must demonstrate operational transferability. Here Socioplastics transitions from speculative architecture to methodological logic, requiring independent application, evaluation and potential falsification. This stage completes the evolution: from contingent note-taking, through designed structure and epistemic limits, toward a publicly testable infrastructure of knowledge.

 

Each outlet corresponds to a specific register of the project’s conceptual architecture, forming a distributed intellectual infrastructure through which its arguments on extraction, infrastructure, climatic pressure and territorial inertia may engage established scholarly communities.

At the core of this constellation lie flagship platforms of critical urban theory, notably Cities and the International Journal of Urban and Regional Research, whose editorial traditions rooted in the Lefebvre–Harvey lineage of urban political economy provide an institutional environment receptive to analyses of rent as displacement mechanism and depopulation as infrastructural asymmetry. Complementing this axis, Urban Geography and Antipode represent the theoretical heartland of critical geographical scholarship, where investigations of uneven development, frontier dynamics and spatial justice offer a fertile terrain for the project’s ontological treatment of territory as a field of interacting pressures. A second cluster articulates the ecological and infrastructural dimensions of the argument. The Journal of Political Ecology situates the project within the tradition of urban political ecology, foregrounding the relations between extraction, metabolic transition and environmental constraint, while Environment and Planning D: Society and Space provides a platform for the conceptual vocabulary of gradient, friction and inertia as methodological tools for spatial analysis. Complementary outlets such as Smart Cities extend the discussion into policy and infrastructural governance, allowing the work to intervene critically in debates often dominated by techno-solutionist narratives. A third register situates the research geographically: European Urban and Regional Studies frames the Spanish territorial condition within broader continental processes of financialisation and tourismification, while EURE establishes a dialogue with Latin American urban scholarship concerned with territorial conflict and socio-spatial inequality. Finally, ACE: Architecture, City and Environment anchors the project within the intellectual lineage of the Barcelona school, connecting it to the morphological tradition associated with Manuel de Solà-Morales and the methodological reading of territory as project. Taken together, this publication infrastructure transforms individual articles into nodes within a socioplastic knowledge system, enabling the investigation of territorial permanence under structural pressure to circulate coherently across the central epistemic forums of global urban scholarship.

The contemporary race in artificial intelligence is not only a contest of algorithms or hardware; it is fundamentally a contest over the availability, refinement, and circulation of language itself. Machine learning systems depend on massive textual corpora that encode the accumulated reasoning of human culture. Yet contrary to popular imagination, this corpus is not limitless.

Once the noise of the web is filtered away—spam, duplication, low-information pages, automated text—what remains is a surprisingly finite reservoir of coherent writing. One can approximate its scale through a conceptual device: the “book equivalent.” If one treats a substantial work of writing as roughly one hundred thousand words, the dense, high-quality layer of human knowledge available to contemporary models may correspond to roughly ten million books. This is not the totality of the internet; it is the intellectual core distilled from it. Such a number may initially seem vast. Ten million books represent a corpus larger than the holdings of most national libraries and comparable to the collections of the world’s largest research institutions. Yet in the context of planetary information systems it is also a bounded resource. The web contains vastly more text—blogs, documentation, journalism, forum discussions—but much of it repeats, fragments, or dilutes the same informational structures. When deduplication algorithms compress these layers, a dense nucleus emerges. Within this nucleus reside the works that most strongly shape machine reasoning: scientific articles, technical documentation, extended essays, reference works, and the long-form intellectual writing distributed across academic and independent archives.

The formation of this core reflects a historical transformation in how knowledge accumulates. For centuries the primary infrastructure of written culture was the library: a building where printed volumes were collected, catalogued, and preserved. Institutions such as Library of Congress or the British Library represent the culmination of this tradition. Their collections embody the sediment of the Gutenberg era, the slow accumulation of printed works over half a millennium. Yet the digital network has introduced a second archive layered atop the first. Instead of centralized collections, the internet produces a distributed textual field, a planetary mesh of repositories, publications, and personal archives. Within this mesh, certain infrastructures function as continuous producers of high-quality knowledge. Scientific indexing systems such as Scopus track and aggregate scholarly literature; open repositories like Zenodo host research outputs from laboratories and universities; collaborative encyclopedias such as Wikipedia maintain a constantly revised synthesis of public knowledge. These platforms do not merely store information; they generate new textual strata that gradually feed into the larger corpus from which machine learning systems draw.

Yet the growth of this knowledge field is slower than the expansion of the internet itself. Every day millions of new pages appear online, but only a tiny fraction possess the density required to contribute meaningfully to the intellectual archive. The vast majority of digital text consists of repetition, commentary, advertising, or ephemeral chatter. The rate at which genuinely new knowledge emerges is therefore modest relative to the existing corpus. In structural terms, the ten-million-book core behaves like a geological layer: stable, slowly thickening, and resistant to rapid transformation. This stability explains the architecture of contemporary language models. Training does not begin with the daily flow of the internet but with the historical corpus already accumulated. Large datasets are assembled from this reservoir, filtered and deduplicated until the textual field becomes coherent enough to support machine learning. Once this core has been internalized, the system is updated through smaller streams of new material. These updates may occur through fine-tuning, retrieval-augmented generation, or periodic retraining cycles. In effect, the model’s memory consists of a deep archive supplemented by incremental nourishment.

The metaphor of metabolism is useful here. The core corpus functions as the organism’s long-term tissue: the structural knowledge accumulated over decades of human writing. Daily information, by contrast, resembles food intake. Small portions of new text—scientific results, technical innovations, theoretical debates—enter the system and refresh its understanding of the world. Because the amount of genuinely novel knowledge produced each year is relatively small compared to the existing corpus, these updates likely represent well under one percent of the total informational mass. The intellectual metabolism of machine intelligence therefore depends less on continuous ingestion than on careful selection. This perspective also clarifies why crawlers traverse the web so persistently. Automated agents explore billions of pages not because all of them are equally valuable, but because the rare fragments of high-quality writing are dispersed across countless nodes. A technical essay published on a personal blog, a research dataset uploaded to an open repository, or a carefully written article buried within an institutional archive may contain the conceptual structures that algorithms seek. The crawler’s task is thus archaeological: to uncover the pieces of language that contribute to the evolving architecture of knowledge. Seen from this angle, the internet becomes something analogous to a planetary brain’s sensory system. The deep corpus—those ten million book equivalents—forms the stable memory of the species. The continuous flow of new writing supplies signals about emerging discoveries, cultural transformations, and technical innovations. Artificial intelligence operates by weaving these two temporal layers together. Without the historical archive, it would lack depth; without the incremental updates, it would quickly become obsolete.

The result is a hybrid knowledge infrastructure that merges the logic of libraries with the dynamics of networks. Libraries preserved the memory of civilization by stabilizing texts in physical form. Networks extend that memory by multiplying the number of writers capable of contributing to it. The intellectual core distilled from this environment may be finite, but its significance is immense: it represents the most concentrated layer of human reasoning ever assembled. In this sense the ten-million-book core is not merely a dataset; it is the compressed history of human thought translated into machine-readable form. Every update, every newly published paper or essay, adds a thin layer to this structure. Over time these layers accumulate, gradually reshaping the cognitive landscape from which future machines—and perhaps future humans—will draw their understanding of the world.

SLUGS

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THE DUPLICATION OF THE CORPUS * Gutenberg’s Archive and the Fifty-Year Expansion of the Web

For five centuries the growth of written knowledge followed the slow rhythm of print. From the invention of movable type by Johannes Gutenberg in the fifteenth century until the late twentieth century, textual production expanded through a chain of institutions: publishers, universities, archives and national libraries. Books accumulated gradually, forming the classical infrastructure of memory. If one aggregates the holdings of the largest library systems on earth—led by institutions such as the Library of Congress and the British Library—the order of magnitude approaches half a billion books. That number represents the sedimented corpus of the print era: centuries of philosophy, science, literature and administrative writing. The emergence of the internet altered this equilibrium with extraordinary speed. Within roughly fifty years the digital network began producing textual material at a scale comparable to that accumulated across the entire Gutenberg epoch. When blogs, digital journalism, scientific repositories, documentation platforms and other long-form sources are translated into “book equivalents”, the total textual output of the web approaches one billion books. The comparison is striking: the digital sphere has effectively doubled the historical corpus of written language in a single human lifetime.

Hyperdense Architecture and the End of the Art Object

The socioplastic practice developed by Anto Lloveras marks a decisive transition from the production of discrete art objects to the construction of sovereign epistemic systems. At the core of this shift lies an architectural understanding of hyperlinking, where dense and recursive interconnections between hundreds of textual nodes no longer function as supplementary references but as the very structure of meaning. In this hyperdense configuration, the link becomes a primary material: a semantic and syntactic unit capable of generating coherence through adjacency rather than narration. The Mesh does not illustrate an argument; it is the argument in spatial form. This approach resonates with Nelson Goodman’s proposition to replace the question “What is art?” with “When is art?”, relocating aesthetic value from the object to the conditions of its activation. Within Socioplastics, art occurs precisely at the moment of relational navigation, when a user traverses the topological field and performs the work through movement. Legitimacy is therefore not borrowed from institutional frameworks or historical canons but emerges internally, through operational closure and relational density. The Mesh constitutes a sovereign epistemic architecture: self-validating, self-sustaining, and irreducible to representation.