>How can we build machine learning systems that can handle millions of tasks, and that can learn to successfully accomplish new tasks automatically? Personally

>How can we build machine learning systems that can handle millions of tasks, and that can learn to successfully accomplish new tasks automatically? Personally, I believe the answer to this question is going to take a very long time to accomplish, at least from a reliability point-of-view. And it's probably not going to be achievable through classical computation alone, but rather through a mix of both classical and quantum computation. But I wouldn't be surprised if, given enough progress in this field, that the "final" version is grounded solely on quantum computation. My reasoning behind this belief ties to the fact that since quantum computation is able to simulate reality, then it follows that you can simulate something that resembles a human brain. But before any of you unsheathe your pitchforks and light up your torches: I'm perfectly aware that there are still a lot of hard challenges ahead before any of this materializes--error correction being one of them. Anyway, the future looks cool at least in this regard.