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Joined 5 years ago
Joined 5 years ago
Also, windows is, for lack of a better word, obnoxious, in the way it bothers you about updates (and other messages of various kinds), and forces you to restart frequently and kn its terms.
The few times I have used windows recently, I found it the opposite of "just getting out of the way and letting me work", and I fear that even if wsl did work smoothly for what I was doing, just the fact that windows was running in the background would degrade the experience.
I currently have a Mac for "office productivity" stuff and ubuntu for development, but if I had to only have one computer, it would be a Mac.
Anyway, I've said before, this reminds me of "The name of the rose" where the inquisition era zealot couldn't accept that religious men should laugh, because if they can laugh, they could laugh at God and the whole power of the church would fall apart. There is an echo of this in the current lack of tolerance for any humor that derives from making fun of something, grounded in the misunderstanding that finding humor in something means disrespecting it.
That said, I'm amazed how angry commenters here seem to be getting over it. Yeah, they tried to do something funny, it wasn't, it backfired and annoyed people. But at the same time, lighten up. Not everything needs to be a rage-inspiring transgression.
In an earlier, less connected world, there would be other more sensible jurisdictions to go to, and people to speak out and debate rationally about why the ridiculous overreaction we've seen is in nobody's interest. But these days, I think we're all fucked. I think we lost a war a long time ago without noticing, and this is what we're stuck with.
There are fewer lobbying efforts on behalf of smaller business (and none on behalf of people who just want quality of life) to the bigger businesses with a direct line to the government get the covid rules basically written for them.
It's great to have this kind of data available. So much computer vision research is done with a small number of datasets, e.g. imagenet, and there are lots of gaps to fill in on how sell these techniques apply to industrially relevant data like this.