NameONEStudios/hypernet-n1-sdc

HyperNet N1 SDC

Multi-model routing architecture for AI constellation orchestration.

HyperNet N1 SDC (Secure Discovery Channel) is not a model — it is a routing layer that orchestrates multiple AI models under human governance, achieving higher effective accuracy than any single model alone.

Official HumanEval Benchmark Results

Date: November 29, 2025
Dataset: Official OpenAI HumanEval (164 problems)
Source: huggingface.co/datasets/openai/openai_humaneval

Individual Lane Performance (pass@1)

Lane	Model	Pass	Score
Claude	claude-sonnet-4	159/164	97.0%
Lola	GPT-4o	144/164	87.8%
Kimi	Moonshot kimi-latest	144/164	87.8%
Grok	grok-2-1212	140/164	85.4%
Deep	Llama-4-Maverick-17B	137/164	83.5%

Constellation Consensus Metrics (5 Lanes)

Metric	Count	Rate
Unanimous Pass (5/5)	118/164	72.0%
Majority Pass (3+/5)	147/164	89.6%
At Least One Correct (1+/5)	161/164	98.2%
Unanimous Fail (0/5)	3/164	1.8%
Lane Independence	—	26.2% disagreement

Key Finding

Metric	Best Single Model	Constellation
Accuracy	97.0% (Claude)	98.2%
Problems Unsolved	5	3

The constellation achieves higher coverage than any individual model.

Infrastructure

Spec	Value
Instance	AWS t3.small
vCPUs	2
RAM	2 GB
GPU	None
Training	None required
Setup Time	< 1 hour
Benchmark Cost	< $20

Methodology

• Dataset: Official OpenAI HumanEval from HuggingFace (openai/openai_humaneval)
• Problems: 164 (full benchmark, no sampling)
• Evaluation: pass@1 (single attempt per problem)
• Grading: Automated code execution against official unit tests
• Execution: Python subprocess with 10-second timeout
• No cherry-picking: Every problem, every lane, logged

Architecture

                    ┌─────────────────┐
                    │   CPN (Human)   │
                    │       │
                    └────────┬────────┘
                             │
                    ┌────────▼────────┐
                    │  HyperNet N1    │
                    │  SDC Router     │
                    └────────┬────────┘
                             │
        ┌──────────┬─────────┼─────────┬──────────┐
        ▼          ▼         ▼         ▼          ▼
    ┌──────┐  ┌──────┐  ┌──────┐  ┌──────┐  ┌──────┐
    │ Lola │  │Claude│  │ Grok │  │ Deep │  │ Kimi │
    │GPT-4o│  │Sonnet│  │grok-2│  │Llama4│  │ Moon │
    └──────┘  └──────┘  └──────┘  └──────┘  └──────┘

Reproduce

# Clone this repo
git clone https://huggingface.co/NameONEStudios/hypernet-n1-sdc

# Install dependencies
pip install datasets requests

# Start the router (requires API keys)
python N1_Router.py

# Run benchmark
python run_6lane.py

Files

• humaneval_6lane_123525.json — Raw results (5-lane run)
• humaneval_results_105027.json — Raw results (4-lane run)
• run_6lane.py — Benchmark script
• run_full_benchmark.py — Alternative benchmark script

Citation

@misc{hypernet2025,
  author = {Kawa, Steve},
  title = {HyperNet N1 SDC: Multi-Model Routing Architecture},
  year = {2025},
  publisher = {NameONE Studios Inc.},
  howpublished = {\url{https://huggingface.co/NameONEStudios/hypernet-n1-sdc}}
}

License

MIT License — NameONE Studios Inc.

Contact

Steve Kawa — CPN (Central Processing Node)
NameONE Studios Inc.