You can get some free credit for a few services with a university email. See https://education.github.com/pack

I have to wait out tHE WHOLE YEAR??

With that kind of usage you may get banned so just watch out.

As recently as this month https://old.reddit.com/r/Windscribe/comments/1q5py5w/how_much_is_too_much/

That said, I agree that windscribe is great. If your usage is less than say 10tb per month you’re probably fine. I regularly do a couple terabytes and no problems. Plus they have port forwarding, and even port forwarding without a static ip

An instance thot should be the fediverse version of an insta thot

If you can find a cheap Xbox 360 the soft modding scene is also very good these days with BadUpdate and BadAvatar

Yeah I thought the whole idea of dkms was so that you aren’t locked to one kernel?

There used to be a plugin that offered some live sports providers but it was always iffy and only worked some of the time. I’m not sure it’s maintained anymore either

Parks and Recreation

I can’t imagine this will make Nvidia much money at all. The vast, vast majority of people aren’t playing more than 100 hours of videogames a month but having a tagline that you can play as much as you want is a very attractive offer to a consumer, at least to me.

Title is complete clickbait. Conflating GDP and market cap is nonsensical

Edit: another article comparing apple revenue to country GDP puts it 41st if it were a country which is still massive and makes a little more sense as a metric https://www.androidauthority.com/apple-revenue-vs-country-gdp-3412922/

In addition to what everyone else said, if you are hosting a server, authlib-injector is a thing that switches the auth server from Mojang to something else, meaning that there is actual verification of identity beyond just username.

Multiyggdrasil is a fork of that that lets you use both Mojang and another auth server for maximum compatibility and security with friends.

As someone who has run an offline mode server, it’s a question of when, not if, you get griefed

I’m sorry for being a bad person.

You’re dehorning them anyway. Not to mention that South Africa apparently has 30 tonnes of horn lying around

The article does a good job to show both perspectives but I have to imagine that flooding the market with rhino horn would reduce poaching since poaching is surely quite expensive. The extra revenue could be used for conservation too.

Yeah. It integrates so cleanly with nextcloud and also means I don’t have to pay for a second service just for photos so that’s nice

I usually spin around on the direction keys a bit

Just checked and this is mine and its worse.

Theres over a billion people in US prisons? I dont think so

To add to the other comment, package managers keep a local copy of the list of available packages and the version. When you do a pacman -S xxx the package manager looks up xxx in the cache and downloads the package from whatever mirror youre using as well as any dependencies, looking them up in the same way from your cache. This works for a while even if theres a new update available because mirrors usually keep a few previous versions.

Once you do a pacman -Sy you update your cache to the latest one. If you then update xxx, it will update xxx and pull in any dependency updates required, but any other packages that depended on the same packages dont get updated, leaving you in a partially upgraded state.

I dont understand. The additional experiment data is fairly convincing, but the random data example doesnt seem to disprove the effect in itself. With random data you are going to get a predicted score of 50 for every group, which is what is shown, but this seems to still indicate that, if this is really what people predicted, that low skill people are overestimating their ability. Obviously random data would exhibit the effect; why should it not?

Edit: i think i get it. The random data doesnt show that the low performers dont underestimate and the high performers dont overestimate on average, but this is the natural result if everyone has no idea how they performed. Thus my question above is exactly what they are trying to say; if everyone predicts randomly (everyone equally bad at predicting) the effect arises. So there might be no relashionship between performance prediction and performance