Hyperz

Time to sit back, relax, and watch ~~the world~~ Reddit burn 😎 🍿

And lots of proxies.

I can't think of a better way to put more gasoline on the fire. If it happens I hope the users revolt and completely shit up any sub where they pull this stunt. Let's see how long those new mods last then, and how many advertisers they lose.

With the same discriminator? Like Username#1234 and UserName#1234 can both exist? If so, yes that's a rather big flaw.

Man that whole situation really sucks. Reddit was by far my most visited site before they decided to light the house on fire. On mobile I always used Boost because the official app is terrible and (at least the last time I looked at it) would drain my battery like it was nothing even when the app was closed. RIP. At least we've got Lemmy. I just wish these 3rd party apps would take their users to the fediverse instead of shutting down entirely. As a developer it really sucks when you have to shut down a project you've put so much work into.

True. But I can somewhat understand why they're changing it. When they started working on Discord they probably didn't think it would blow up the way it did. The use of the discriminator is probably a bit confusing for some less tech savvy people. And @username has pretty much become the standard everywhere 🤷‍♂️

Oh right, that change. I personally didn't think that was a big deal. Instead of having Username#1234 now you might have Username_1234. What am I missing?

What did Discord change?

But then they'd have to break up with their AI girlfriends/boyfriends 🤔.

Yeah that's a good point. I have no idea how you'd go about solving that problem. Right now you can still sort of tell sometimes when something was AI generated. But if we extrapolate the past few years of advances in LLMs, say, 10 years into the future... There will be no telling what's AI and what's not. Where does that leave sites like StackOverflow, or indeed many other types of sites?

This then also makes me wonder how these models are going to be trained in the future. What happens when for example half of the training data is the output from previous models? How do you possibly steer/align future models and prevent compounding errors and bias? Strange times ahead.

It seems to me like StackOverflow is really shooting themselves in the foot by allowing AI generated answers. Even if we assume that all AI generated answers are "correct", doesn't that completely destroy the purpose of the site? Like, if I were seeking an answer to some Python-related problem, why wouldn't I go straight to ChatGPT or similar language models instead then? That way I also don't have to deal with some of the other issues that plague StackOverflow such as "this question is a duplicate of - closed!".

Yup. I mentioned this on Reddit as well. OG Reddit vibes.