$QUBIC borrowed an idea from ants, and it is more than thirty years old. In the early 1990s, researcher Marco Dorigo introduced ant colony optimization. The principle: an ant that finds a good path leaves a trail, and the ants that follow take it and reinforce it. None of them sees the big picture, yet the colony finds the way. Qubic mining follows the same logic. Miners search for small neural networks: 64 neurons with three states, 0, 1 or unknown, each connected to three others. A miner starts from an existing network, sometimes one found by another member of its pool, mutates it, explores, then refines. Its result is only kept if it strictly beats its starting point. With one major difference: the memory is not a pheromone. It is the record of accepted networks, which miners in the same pool extend together. And that record can be verified. Any node can replay a recipe and must get exactly the same score. A false result costs the Computor who publishes it a deposit of one million QU. Honesty check: these networks are still tiny, and their task is a benchmark, not general intelligence. Each epoch also starts again from a fresh root: progress accumulates over the week, not from one week to the next. But the principle is set: computation that, hour after hour, no longer starts from scratch. Miners who, like ants, extend the same trail.

$QUBIC does not deploy a smart contract in one click. Between the idea and mainnet, there is code, testing, a vote and an auction. Here is the full journey, step by step.