The master branch in git isn’t the same though. It’s closer related to the word “remaster.” Master used to mean the original document is still used everywhere in tech and outside of it.

Main makes more sense since a master copy should be something that doesn’t change in my opinion. But that’s semantics…

I love discord, for what it’s for. Quick synchronous talks you will never refer back to again. So not software development where indexable logs of information are necessary. I know discord has indexing, and now some form of forum. But every discord I’ve been to for development (especially modding communities) has a large corpus of synchronous logs where people get annoyed if you ask a question that was answered one before a long time ago with extremely common language making it nearly impossible to search for because the keywords have been used out of context of your question hundreds of times since the question was asked.

If the Dev communities used the forums mode in discord more, it wouldn’t always solve it, but it’d be much better. There are better places than discord for these things, but I have been trying to meet people where they’re established.

/prəˈrɒgətɪv/ Huh. I guess usually when a schwa and a rhotic is involved, my dialect drops it. I pronounce it /prˈrɒgətɪv/ which could be romanized to pur-ROH-guh-tiv. But there’s no actual separation between the u and the r there.

/ʒaɪf/

Not only is this not obsolete, it’s close to biographical as it closely references the first and second Artificial Intelligence Winters. The first being in the 60s. We’ve been working on these for a long time, so 5 years is short. It took until GPGPU to kick into full gear and some clever insights to get Deep Learning up and running (somewhat attributed to work published in 2011) to start reliably on this problem, and even that is an oversimplification of the timeline and the scope.

Others have mentioned oddities like the difficulty of subject matter (picture contains a bird vs picture of a bird) but there are a lot harder problems that are trivial to humans and counterintuitively incredibly hard for computers.

Designing good UX is harder than designing good UI is harder than writing good code. As a machine learning engineer, I will never be able to design UX. I have made a pretty UI once though.