Huh, that’s the first time I’ve heard of this. I like IPFS, but I do wish it was just a bit… Smoother to use?

I kinda wondered the same thing, but I guess that’s their choice. Wish they had push some kind of notice to the app to let users know to try the new version. As it is, this is the first time I heard of this.

Wanted patent protections for myself mostly. I know the Apache 2.0 is best well-known for that, but I tend to prefer the simplicity of the BSD licenses. More so curious why the BSD 2-Clause was chosen for that Patent clause and not the BSD 3-Clause. Just seems odd to me. I updated my original post with more info.

You are correct, yeah. I updated my post with more info on what I was asking about, plus the text of the two licenses.

14/20, nicely done! I will say, I maybe would have wanted to see more AI results than just from Dall-e 3, though given I still missed 6 of the, that speaks very highly of Dall-e 3’s capabilities. But some midjourney and SDXL images would have made for a wider guessing selection too.

Imagine if someone had said something like this about the 1st generation iPhone… Oh wait, that did happen and his name was Steve Ballmer.

Well, by that logic, if they shut down, the the next largest will be targeted, and then the next largest, etc. That’s not a winning game for anyone involved…

I mean, that could happen to any other Lemmy instance too, unfortunately. And even if you do decentralize, a server going down still deprives the rest of us of that content, so it’s never not going to cause some issues. So I wouldn’t hold this against Lemmy.world.

Infinity too.

They said themselves the issue isn’t signups or server capacity, it’s that they’ve been under multiple rounds of DDoS attacks.

Heh, I’ll just leave this here for folks.

YT-DLP

Good bot!

Actually a useful bot!

Fantastic resource! I’ve contributed to it myself as well.

This has already been disproven, due to the fact the method the researchers used to test how well it was doing was flawed to begin with. Here is a pretty good twitter-thread showing why the methods they used were flawed: https://twitter.com/svpino/status/1682051132212781056

TL:DR: They used an approach of only giving it prime numbers, and asking it if they were prime numbers. They didn’t intersperse prime and non-prime numbers to really test it’s capabilities at determining that. Turns out that if you do that, both the early and current versions of GPT4 are equally bad at determining prime numbers, with effectively no change noted between the versions.