Accuracy is a lie

The bet is easy to say and hard to earn: intelligence is a collaboration of specialists, and the collaboration itself has to be evolvable. A problem gets split, handed to networks that each grew for a piece of it, and their answers composed into one. The proof of concept already does this, evolved specialists solving compound problems that a single network fails.

I design nothing by hand. Evolution grows each specialist's wiring, and evolution grows the coordinators that decide how the specialists work together. My job is to set the conditions and the pressure, then watch what the search finds. The structure and the cooperation are discovered, not authored.

Each specialist is a small evolved circuit repeated across a grid, inspired by the cortex without copying it: one template, many behaviors, depending on how it gets wired in. The roadmap lets these substrates grow and adapt like living tissue rather than sit as fixed graphs, so a network can develop and keep changing after it is born.

For a new task the specialists stay frozen and only the coordination evolves, so hard-won skills are reused instead of retrained. That is the road to learning across a lifetime without overwriting the past. The honest status: today's composition is still task-specific, but the signal for something more general is already there in the population, and pulling it out into genuine emergent reasoning is the open problem I am on.