A Frontier Model Built Like a Brain with Python and Rust

Pathway introduces Dragon Hatchling, a post-transformer AI architecture inspired by human brain neuroscience. Unlike transformers that require massive repetition and lack temporal reasoning, this model uses sparse activation (5% of neural connections fire) and Hebbian learning principles where neurons that fire together wire together. The architecture integrates memory directly into the model through synaptic connections, preserves temporal structure, and achieves data-efficient learning comparable to how humans learn from single experiences. Built on Pathway's Python-to-Rust stream processing framework, it addresses transformer limitations including energy consumption, temporal blindness, and inability to support continual learning.