Computational textile work is a niche, but fascinating, area of research. Knitting and crocheting are highly technical crafts, and there are opportunities to use modern computational approaches, including deep learning, in them.
Deep Knitting: https://arxiv.org/pdf/1902.02752.pdf
I'm not going to read this paper in detail, it may not be a great example of a successful deep learning application - but at least it's not an absurd idea.
Maybe not surprising if you're aware of the place of the Jacquard loom in the history of computer science.
At some point, we'll realize that AGI is the modern alchemy. Ironically, alchemy's penultimate goal was to construct a homoculus, which is essentially the goal of AGI.
https://en.wikipedia.org/wiki/Homunculus#Alchemy
"The allegorical text suggests to the reader that the ultimate goal of alchemy is not chrysopoeia, but it is instead the artificial generation of humans."
This is such a vague generalisation, I cant do anything with it, except maybe how about "nullius in verba", on the word of noone, or "think for yourself"
There's no silver bullet. Deep Learning has made huge strides in noise reduction, image and video processing (self driving cars), lidar processing, medical imaging, etc, but it's not made any progress in knitting, tooth brushing, dog walking, or many other tasks ill suited for deep learning - so clearly not everything.