This post reads like someone who just discovered the OSI model and tried to shoehorn it into neurobiology.
The idea that the "revolution" is a hardware layer that just plugs into the brain and expands it with new neurons assumes a very naive model of how neural integration works. Brains don’t just recognize foreign neurons like USB devices. Synaptic plasticity, metabolic compatibility, glial interactions, all of that matters a lot more than signal translation.
Also, calling it a "data layer" glosses over the fact that neurons don't pass around clean, structured data. There’s no JSON over axons, information in the brain is messy, noisy, and deeply contextual—less like a protocol stack, more like a wet, self-rewriting spaghetti code.
So, if the core insight is "just add more neurons and treat it like hardware expansion," then the real challenge is being understated by several orders of complexity.