Carbon-Silicon Synergy: Architectural AI Design with Fused Text-Image Data
DOI:
https://doi.org/10.53469/jpce.2025.07(10).04Keywords:
Carbon-based world, Silicon-based world, Architectural AI design, Text-Image DataAbstract
The dichotomy between the carbon-based physical world and the silicon-based digital realm is increasingly central to contemporary architectural discourse. The former, defined by biological embodiment and material constraints, serves as the foundational substrate for human habitation, while the latter, constituted by computational infrastructures and virtual environments, functions as an emergent domain for social organization, information processing, and experiential simulation. Under the influence of the meta-cosmic wave—characterized by accelerated virtualization, algorithmic governance, and immersive digital ecologies—urban trajectories are being reconfigured beyond historical paradigms of spatial certainty. Phenomena such as urban decay, identity erosion, and digital homogenization have been observed, while counter-movements emphasizing co-habitation, humanistic revival, nature-urban integration, and localized resistance to digital hegemony are being formulated. The spatial agency of architects is being redefined within hybrid digital-physical workspaces, necessitating the reconstruction of design methodologies and meaning systems. Due to inherent limitations in information density and transmission efficiency, the carbon-based world is increasingly supplemented, and in some domains superseded, by the silicon-based environment, which demonstrates superior capacity for event coordination and real-time simulation. To mediate this dual reality, a synergistic architectural intelligence is proposed, grounded in the fusion of textual and visual data through artificial intelligence, enabling the generation of design frameworks responsive to the co-evolution of carbon and silicon substrates.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Yuxuan Zhu, Shu Wang

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

