Google and HHMI Janelia just released a complete wiring map of the male fruit fly brain—166,000 neurons and 125 million synaptic connections. This is the biggest brain map by neuron count so far, and it took a decade of work combining AI reconstruction with human verification. The map includes the ventral nerve cord (basically the fly's spinal cord), so it shows not just the brain but how it controls the body. Researchers can now view and download it through Neuroglancer, an open-source tool Google built for exploring massive brain datasets. The project matters because fruit flies are a proven model organism for neuroscience, and mapping their brains reveals how nervous systems actually work—something we can't do yet with human brains' 86 billion neurons. Google's team used AI techniques like flood-filling networks to convert electron microscope images into 3D neural reconstructions, then had human experts verify every connection. Having both male and female fruit fly connectomes now lets researchers compare them directly, which is useful for studying courtship behavior and aggression, or spotting natural variation between individual brains. The methods are getting faster too—they've trained AI systems on synthetic neurons to speed up reconstruction without losing accuracy. The real momentum here is moving beyond insects into vertebrates. Columbia University just published work on an elephantnose fish's hindbrain that shows how static connectome maps can reveal learning mechanisms. Google's also working on larval zebrafish—the first whole-brain vertebrate connectome that includes both neural structure and molecular types, plus a version combining neural activity with structure in the same brain. A fully verified zebrafish brain map and partial mouse brain mapping are coming next. These vertebrate maps are closer to human neurology, and the techniques developed on fruit flies are now scaling up to answer real questions about how brains learn, process information, and potentially how to repair them.