Axiom-01 is a white-box hypothesis-driven reasoning system designed to discover latent structures between phonetic profiles and biological/contextual traits. Unlike black-box neural networks, Axiom-01 operates by identifying statistical laws within a dataset, forming explicit hypotheses, and applying those hypotheses to classify, explain, and generate data with full traceability.
The system is currently implemented… See the full description on the dataset page: https://huggingface.co/datasets/Zierax/Animals-Axiom-01-v1.
