A genetic algorithm creates many versions of a program and keeps the ones that perform best — mimicking natural selection inside a computer. Here, that process trains a neural network to play Connect 4. The algorithm builds many network players, tests them against a simulated opponent, and selects the strongest performers to produce the next generation. As rounds continue, the network learns to beat that opponent reliably. When a human steps in with a different strategy, though, the human still wins — because the network learned to beat one style of play, not the game itself.