The Topology of Multimodal Fusion: Why Current Architectures Fail at Creative Cognition
This paper identifies a structural limitation in current multimodal AI architectures that is topological rather than parametric. Contrastive alignment (CLIP), cross-attention fusion (GPT-4V/Gemini), and diffusion-based generation share a common geometric prior -- modal separability -- which we term contact topology. The argument rests on three pillars with philosophy as the generative center. The philosophical pillar reinterprets Wittgenstein's saying/showing distinction as a problem rather than
Record details
Published: 6 April 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (6 April 2026), “The Topology of Multimodal Fusion: Why Current Architectures Fail at Creative Cognition,” evidence record 6328, https://ethics.ai/record/6328 (originally published by arXiv).
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