hayulalab/beyond-scaling-paper

Beyond Scaling: Achieving Frontier-Level AI Through Specialist Orchestration — Hayula Research

Hayula AI Lab

Abstract

The frontier of artificial intelligence is currently defined by massive monolithic models: GPT-5, Claude Opus 4, Gemini 2.5 Pro, DeepSeek-R1, Grok 3, Llama 4. These models cost $500M–$2B to train and require massive GPU clusters. This paper presents a viable alternative pathway: achieving comparable capability through the orchestrated ensemble of fine-tuned small specialist models (7-8B parameters) on consumer-grade hardware (Apple M2 Ultra, $7K).

Files

File	Description
paper.md	Full paper (Markdown)
README.md	This model card

Citation

@techreport{hayulalab2026beyondscaling,
    title={Beyond Scaling: Achieving Frontier-Level AI Through Specialist Orchestration — Hayula Research},
    author={Hayula AI Lab},
    year={2026},
    url={https://huggingface.co/hayulalab/beyond-scaling-paper}
}

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