Neural networks have become good at learning one task, but haven't been good at learning multiple task. New learnings tend to over write old learnings, so old learnings are forgotten or not taken advantage of. Deepminds Pathnet is an early attempt at solving this problem. Pathnet uses a tournament selection genetic algorithm to select which pathways will be replicated or modified for a new task. So far Pathnet has been able to learn several tasks.