> It is simply mismanagement to input resources into a language rework that is dead on arrival, community wise
how exactly might other features have a community of users prior to the feature being implemented?
> TensorFlow eager with autograph or Pytorch solve all differentiation problems as far as researchers and practitioners are concerned
I think this is a pretty narrow view of the world. From autograd to Stan to the cornucopia of implementations in Julia it's worth considering not everyone's going to be able to shoehorn their problem into the TF/PyTorch way of doing things.
how exactly might other features have a community of users prior to the feature being implemented?
> TensorFlow eager with autograph or Pytorch solve all differentiation problems as far as researchers and practitioners are concerned
I think this is a pretty narrow view of the world. From autograd to Stan to the cornucopia of implementations in Julia it's worth considering not everyone's going to be able to shoehorn their problem into the TF/PyTorch way of doing things.