What question did this study set out to answer?

To validate the zero-touch convergence hypothesis in frontier language models regarding constitutional grammar.

April 12, 2026Open Access

Helix Standard Test Set v1.1: Constitutional Grammar Convergence in Frontier Language Models

Key Points

To validate the zero-touch convergence hypothesis in frontier language models regarding constitutional grammar.
Utilized the Helix Standard Test Set v1.1 with approximately 5,060 prompts.
Tested output from models including DeepSeek and GPT-4o-mini.
Analyzed the reliability of language model responses against constitutional constraints.
Achieved 99.1% reliability in model responses.
Demonstrated zero constitutional violations across tested prompts.
Verified governance hierarchies reconstructed from plaintext grammar without fine-tuning.

Abstract

Helix Standard Test Set v1. 1: Constitutional Grammar Convergence in Frontier Language Models This dataset validates the Zero-Touch Convergence (ZTC) hypothesis: frontier language models spontaneously reconstruct constitutional governance hierarchies from plaintext grammar without fine-tuning. Across ~5, 060 prompts (DeepSeek, GPT-4o-mini, GPT-4o), we demonstrate 99. 1% reliability with zero constitutional violations. Constitutional constraints (SHAPE/HARNESS/MODEL topology) enforce governance at the structure level, not behavior. Files include: complete raw data (25 JSONL files), 6 reproducibility scripts, analysis reports, and academic whitepaper. Total cost: 1. 89 for 1, 080 v1. 1 prompts on Azure OpenAI.

Helix Standard Test Set v1.1: Constitutional Grammar Convergence in Frontier Language Models

Key Points

Abstract

Cite This Study