If it's not ready I don't see much sense in discussing it. Google betting on it does not inspire much confidence either. Google managed to screw up Tensorflow so bad no one I know uses it anymore. So if this Swift project is going to be tied to TF in any way it's not a good sign.
As for Julia, I like it. Other than the fact that it counts from 1 (that is just wrong!). However, I'm not sure it's got what it'd take to become a Python killer. I feel like it needs a big push to become successful in a long run. For example, if Nvidia and/or AMD decide to adopt it as the official language for GPU programming. Something crazy like that.
Personally, I'm interested in GPU accelerated Numpy with autodiff built in. Because I find pure Numpy incredibly sexy. So basically something like ChainerX or Jax. Chainer is dead, so that leaves Jax as the main Pytorch challenger.
As for Julia, I like it. Other than the fact that it counts from 1 (that is just wrong!). However, I'm not sure it's got what it'd take to become a Python killer. I feel like it needs a big push to become successful in a long run. For example, if Nvidia and/or AMD decide to adopt it as the official language for GPU programming. Something crazy like that.
Personally, I'm interested in GPU accelerated Numpy with autodiff built in. Because I find pure Numpy incredibly sexy. So basically something like ChainerX or Jax. Chainer is dead, so that leaves Jax as the main Pytorch challenger.