AI RESEARCH
The Topology of Multimodal Fusion: Why Current Architectures Fail at Creative Cognition
arXiv CS.AI
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ArXi:2604.04465v1 Announce Type: new 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 a.