Fly Language Model (FLM) Wires the Full Fruit Fly Connectome Into a Frozen 1.2B LLM, and Its Own Controls Show the Wiring Does Not Help
MarkTechPost 1 month ago 12 ● 4 sources
Fly Language Model (FLM) combines the full retained MaleCNS v1.0 fruit fly connectome with a frozen LiquidAI LFM2.5-1.2B-Instruct backbone by training only a 278,528-parameter reservoir readout. The fly readout reduced loss by 0.0222 nats per token (from 3.98 to 3.90) versus the frozen backbone, but a direct-input no-graph control did better in all 3 seeds, and the fly graph’s residual added no supported fly-specific gain. As a result, the study concludes the connectome wiring participates but does not improve outcomes beyond simpler controls, and context length still comes from the frozen backbone rather than long memory in the reservoir.
