As an author of this paper, I feel such neural networks are indeed a small step towards what we call AGI. By learning shared representations across a variety of tasks makes an AI system more robust to real-world datasets and makes it easy to adapt to new tasks without having to learn everything from scratch (which we humans are naturally capable of doing)
Does this bring us closer to AGI?