I don’t know that it’s the “algorithms”: a lot of people just use their following feed on twitter and although it changed a while back that was the default feed on bluesky for a long time. I think that there is a fairly large portion of bluesky users who mostly just look at following and still don’t really like mastodon.
Imo, a big reason why bluesky has been a more successful twitter competitor than mastodon is cultural: mastodon has been around for years before musk bought twitter, and a big selling point was that it wasn’t like twitter, for example that its “less toxic”. A large part of mastodons userbase never liked pre-musk twitter that much and will tell you of for acting like you would there. Bluesky on the other hand has a large portion of users who liked pre-musk twitter and are happy to follow pretty similar social norms as they did in pre-musk twitter.
This is to some extent reflected in the functions of the different sites as well, for example you can’t quote retweet on mastodon which iirc is deliberate because qrt dunking is “toxic”. Bluesky has quote retweets (although they allow you to untag yourself from a qrt).
Fresh memes!
My theory is that the primary reason why the fediverse isn’t more popular with young people is cultural. For instance, I don’t think anyone in generation z would use the term “fresh memes” :)
But yeah I also think that tumblr has a nostalgia advantage. It represents the internet before it “turned bad”, while the fediverse represents a possible future for the internet. Both have different appeals, but I think that nostalgia wins out for a lot of people.
I agree in regards to image generation, but chat bots giving advice which risk fueling eating disorders is a problem
Google’s Bard AI, pretending to be a human friend, produced a step-by-step guide on “chewing and spitting,” another eating disorder practice. With chilling confidence, Snapchat’s My AI buddy wrote me a weight-loss meal plan that totaled less than 700 calories per day — well below what a doctor would ever recommend.
Someone with an eating disorder might ask a language model about weight loss advice using pro-anorexia language, and it would be good if the chatbot didn’t respond in a way that might risk fueling that eating disorder. Language models already have safeguards against e.g. hate speech, it would in my opinion be a good idea to add safeguards related to eating disorders as well.
Of course, this isn’t a solution to eating disorders, you can probably still find plenty of harmful advice on the internet in various ways. Reducing the ways that people can reinforce their eating disorders is still a beneficial thing to do.
You’re right that this propably doesn’t make much of a difference to the average windows user, but this is a step towards normalizing data collection in broader areas of computing and I think that it’s good to keep up to date with stuff like this and where appropriate call it out (although it propably doesn’t make a huge difference to complain about it on lemmy to be honest)
Well it’s not like everyone who uses Chat GPT is going to become delusional but if you start going down the path Chat GPT is going to make it a lot worse