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The Dimensionality Gap: Three Scaling Barriers to AGI on Von Neumann Architectures, and a Path Forward Through Neuromorphic-Photonic Substrates

2026-03-27

Abstract excerpt

The prevailing assumption in artificial general intelligence (AGI) research is that scaling current architectures—more parameters, more GPUs, more data—will eventually yield human-level general intelligence. We challenge this assumption by identifying three formal scaling barriers that arise from the structural mismatch between biological neural computation and von Neumann silicon. The brain is a three-dimensional...

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Literature Corpus work
2f4bc6a5-f4c0-5750-b2a1-8e9fd59020a9
DOI
10.20944/preprints202603.2196.v1
Open publication

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The Dimensionality Gap: Three Scaling Barriers to AGI on Von Neumann Architectures, and a Path Forward Through Neuromorphic-Photonic SubstratesDOI 10.20944/preprints202603.2196.v1
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