[drewm1980]

Coming from using Tensorflow in industry, I recently played with Flux at home. Language level support for AD should be a game changer, but it's a hard transition mentally. You have to understand one language deeply rather than two languages shallowly. I found myself bogged down solving lispy puzzles involving functions composing other functions. In tf (and most AD frameworks) you churn out some ugly procedural code in an ergonomic language that generates some ugly pure functional code in a more limited language (the computational graph). Different cognitive overheads. Julia hasn't been 1.0 for very long; it may still take off.