Hey Jeremy, I'm a really big fan. I got really interested in Swift based on your initial blogpost on it, and managed to get the company I work at to invest a bit in researching how suitable it could be for real time ML on video.

If it's not too forward, do you know at the moment if FastAI will continue to invest in Swift? I know development was a bit stalled due to the work needed for FastAI 2.0, but I was wandering if it'll resume, or if Richard Wei and Chris Lattner leaving changes anything?

Cheers and thanks for FastAI!

PD: Was working a bit on SwiftCV, added the videoio and highgui modules. Was wondering if I should PR it to fastai's or vvmnnnkv's version of the repo?

I think you might have misread. I'm excited about it, it just wasn't mature enough for anything client-facing for me.

I didn't misread - I was agreeing with you! :) And disagreeing with the person you were responding to.

Would you be open to doing a Fast.ai initiative in Julia? If so, what would that take?

I would be delighted. I've even spoken to the Julia core team about it. Hopefully one day they'll make that happen! (Just like we developed SwiftAI thanks to support from Chris Lattner and the s4tf team).

How can I try those lessons on Windows?

Probably easiest is to use Colab, which supports Swift directly. Otherwise, use one of the approaches shown on the course site: https://course.fast.ai/

(Most data scientists on Windows, including me, use SSH to connect to a GPU server running Linux for training models.)

So not an option against the competition that has no issues supporting Windows as first class citizen.

Windows needs to die though. The sooner it dies, the sooner we can all just assume that everything has bash and a bunch of excellent compilers installed.

There plenty of OS that aren't POSIX clones, Windows is not alone.

Anyone that cares about bash on Windows can install mingw or WSL, preferably WSL2.

Tablets don't have CLIs by default.

Even if UNIX clones ruled the world, chsh is a thing.