alt Hacker NewsI think Julia missed the boat with Python totally dominating the AI area.
Which is a shame, because now Python has all the same problems with the long startup time. On my computer, it takes almost 15 seconds just to import all the machine-learning libraries. And I have to do that on every app relaunch.
Waiting 15+ seconds to test small changes to my PyTorch training code on NFS is rather annoying. I know there are ways to work around it, but sometimes I wish we could have a training workflow similar to how Revise works. Make changes to the code, Revise patches it, then run it via a REPL on the main node. Not sure if Revise actually works in a distributed context, but that would be amazing if it did. No need to start/fork a million new Python processes every single time.
Of course I would also rather be doing all of the above in Julia instead of Python ;)