I wanted to say don't be unrealistic, but then I realized 15 years ago was 2009 and it was basically the stone age. In computer vision, the state-of-the-art was

I wanted to say don't be unrealistic, but then I realized 15 years ago was 2009 and it was basically the stone age. In computer vision, the state-of-the-art was HOG+SVM, SIFT features and bag-of-words. Pixel-level tasks were extremely brittle, best you could do was something like GrabCut etc. Neural nets were still in their uncool phase. In NLP you were happy if you could do reliable part of speech tagging. 2039 is really hard to foresee.