I appreciate the way you sum up the ML vs traditional software appeal and I think it's helped me articulate why ML is so unappealing to me. The power of software has very little to do with the power of the machine it's run on (with some obvious exceptions like games and physics sims) which made it very exciting to me when I was learning to code. The same cannot be said about deep learning where more data and more compute means more power.