Lots of reasons I suppose. Outside script-kiddying with mergekit it takes some serious knowledge to properly train anything, and expensive amounts of compute to

Lots of reasons I suppose. Outside script-kiddying with mergekit it takes some serious knowledge to properly train anything, and expensive amounts of compute to actually do it or even run it in the end. It's not the most accesible thing. For classical methods once you got the algorithm nailed, it will work 100% of the time. For probabilistic methods, you do get better results most of the time but they can also screw up randomly for no reason so their deployability in production is hell on wheels. It's infuriating at times. Still can't argue against it being very fascinating.