Fly Language Model (FLM) is a language model trained from scratch on a connectome-derived recurrent network inspired by fruit-fly brain wiring, allowing inspection of neural states during inference. The project combines anatomical wiring constraints with learned dynamics, tested on WikiText-2 and BabyLM datasets to isolate the computational value of the fly-derived architecture versus conventional baselines.