Can I propose another insight? AI sometimes works and works spectacularly and does not fail in 2% of the cases, or even in 0.02%. Just look at iPhone photos. Bu

Can I propose another insight? AI sometimes works and works spectacularly and does not fail in 2% of the cases, or even in 0.02%. Just look at iPhone photos. But that AI application require deep domain knowledge + deep AI (or, well, ML, whatever) knowledge. You can't simply throw sklearn at an arbitrary problem and expect to get great results.