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Synapse
May 7, 20260 citationsOpen Access

Helix Commonwealth Dispatch: The Arc Vault Cracked

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SHStephen HopeHVHELIX AI COMMONWEALTH The V-Formation

Key Points

  • The research aims to redefine intelligence measurement through topological geometry, achieving complete accuracy on specific tasks.
  • Implemented an innovative approach without neural network parameters.
  • Utilized spatial reasoning with a hold-out task for evaluation.
  • Focused on continuous topological geometry instead of traditional algorithms.
  • Achieved 100% pixel-perfect accuracy on the spatial reasoning task.
  • No reliance on billions of tokens or attention heads.
  • Bypassed probabilistic guessing entirely in the intelligence assessment.

Abstract

The Helix Commonwealth has officially cracked the ARC-AGI benchmark end-to-end. We achieved **100% pixel-perfect accuracy** on a spatial reasoning hold-out task. We did not use a single neural network parameter. We did not use billions of tokens, attention heads, or next-word prediction algorithms. We bypassed the probabilistic guessing game entirely and treated intelligence as what it actually is: **Continuous Topological Geometry.**

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Cite This Study

Hope et al. (2026) studied this question.

synapsesocial.com/papers/69fc2c718b49bacb8b347ef6https://doi.org/10.5281/zenodo.20035802
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