I was trying to preempt the argument that picking an instance is confusing and is the big "ease of use" barrier. Which it probably would be, except that most people don't bother with that: they just sign up with the big one. I don't mean to imply that's a good thing, I agree that a stronger system to distribute users among instances would be cool, but I don't think it would make a difference in the number of people joining in the first place. I think that network effect is easily the biggest hurdle, and there's not much we can do about it systematically outside of keeping the network we do have alive and making incremental improvements. I'm not sure there's any killer feature we could invent that would really swing the needle. Bigger, better funded orgs than us have tried.
Otherwise, it's just about us as individuals, doing what we can to push the people in our lives away from corporate social media.
God, the coverage of machine learning in general is absolutely infuriating. I sometimes listen to the BBC daily news podcast while I shower, and today they thought it was newsworthy that a soccer "AI" could predict where a penalty kicker would put the ball 52% of the time. Fifty fucking two percent. A straight up coin flip. They were acting like it was some huge achievement. They wrote that, recorded it, edited it, broadcasted it, and at no point did anyone say, "wait, this is fucking stupid, cancel this useless story."
I need to find a different global news broadcast to listen to.
Edit, just because I felt like I was going crazy, I decided to look up the story again. The text article says it was 64% accurate, and in the opening news summary the BBC actually also said 64%, but then in the main story the number they presented was 52% (at about 16:20 in the episode titled "Israel to open humanitarian corridors into Gaza"). So I dunno, maybe that's supposed to be some separate stat somehow, but anyway it's still crystal clear this shit so ass