Current state-of-the-art neural networks employed in image recognition and decision making software require enormous, highly specialized datasets for their training. The result is a rigid AI that is only capable of fulfilling a single, well defined task. This restriction does not reflect the evergrowing challenges of the real world. As intelligent beings, we overcome difficulties by recollecting knowledge from many independent domains. When our understanding of the world reaches a limit, we explore it and bend its rules in order to independendly increase our knowledge. All without a pre-labeled database.
What we seek is a general artificial intelligence which is capable of the same autonomous solution-finding that humans are capable of since their infancy.