Blender for 3D modeling, sculpting, animation, rendering and (simple) video editing.

Several movies were either made (almost) entirely with Blender (Flow, Next Gen), or in parts (e.g., Captain America: The Winter Soldier, SpiderMan 2, The Midnight Sky).

It is also used by many (indie) game devs.

Speaking of games: Godot is an awesome 2D/3D game engine, which gained a lot more momentum after the Unity fuck-up. It’s licensed under the MIT license. Among a plethora of smaller indie games it has been used for financially successful and/or popular titles by indie and non-indie devs alike such as Brotato, Cassette Beasts, RPG in a Box, Endoparasitic, Dome Keeper, Sonic Colors: Ultimate, and several more.

Give it a try if you’re into game development!

“invisible radio wave”

Whed have radio waves not been invisible to the naked eye?

Great. We found out that Google is evil. Again. Could we now please get rid of them or at least stop using their products?

Translation:
“Shutdown. Fucking shutdown, trash!”

Depends on legislature.

18 year olds and above are considered basically adults in terms of rights in a lot of countries. Technically, they are teenagers, if we refer to the age group 10 to 19 as teens. It’s obvious though that everyone below that “adult-age” limit is not considered an adult.

Because it’s always so easy to compile everything you need from source! Just make sure to download, compile and install the dependencies first as well. Oh, and the dependencies’ dependencies. And the ones from them. And so on. Unless you’re lucky enough that there are already packaged dependencies available for you. Don’t know how to compile? No problem, just read the documentation. You can be absolutely 1000000% dead serious sure that everything you need to know is documented and extremely super duper easy to understand if you don’t know the source code or barely know how to code at all. And if not, maybe you can find the bits of information on the respective Discord server. It will probably be also very intuitive to know which build options you have to set in which way and which ones even exist. And that without causing conflicts with other packages you need to compile. Still got got problems with compiling? EZ, just open a bunch of issues on the respective GitHub pages. (If present. Otherwise, try to find another way to contact devs and get support, Discord for example.) Maybe, about six months later you’re lucky to get a response. And if not, don’t worry. Some will tell you, you should RTFM or are an idiot. Some will just close the issue because your platform isn’t supported anyway. Then you know, what you did wrong. Also don’t mind if your issue gets ignored.
If you finally managed to compile everything from source, congratulations! Now run the program and test if everything is working. If it’s not or if it is crashing, don’t worry! In developed and civilised countries you can just buy a shotgun and blast your own head away to end this suffering.

EZ! Just compile from source! /s

Proof that a free market doesn’t magically create value.

Why do you think it’s trash?

The only reason to use AI in programming is to simplify C++ error messages.

From my amateur experience Krita is really nice for drawing, painting and sketching, especially if you have a graphic tablet, as it bundles commonly used features and makes them easily accessible.
But it is by far not a sophisticated image manipulation program such as GIMP, which comes with a plethora of more features you’ll probably not use if you’re just doing some “typical Krita stuff”.

Windoof on my computer got an update last week. I wonder when it’s done. /j

(But seriously, it took almost the whole evening.)

Strange. Never had automatic updates on Ubuntu. Just notifications that there are some. Also I don’t have similar issues with Firefox. Works perfectly fine for me.

I don’t know enough about IT security to understand this.

Does that mean that run0 puts programs in some form of sandbox? What’s the difference now to sudo?

Python is already really slow.

“Mistakes were treated statistically,” a source who used Lavender told +972. “Because of the scope and magnitude, the protocol was that even if you don’t know for sure that the machine is right, you know statistically that it’s fine. So you go for it.” […]
During the first few weeks of the war, officers were allowed to kill up to 15 or 20 civilians for every lower-level Hamas operative targeted by Lavender; for senior Hamas officials, the military authorized “hundreds” of collateral civilian casualties, the report claims.

I fucking hate people. Especially those, who don’t need to use violence but choose to do so anyway.

People care about privacy. But they care more about convenience. If the browser is preinstalled on your system and you are not making a deliberate choice to switch, you’ll keep using it.
Changing a habit is a difficult task. Usually, people don’t like to do it. So they stick with the worse, even though there are such beautiful things like Firefox.

That’s what giants like Apple know. They draw people into their own ecosystem in order to groom them into the perfect customer. They start in schools by giving schools special cheap licenses to use Apple products. An investment into future customers, because as we know, customers will gravitate towards stuff they know.

And I wonder how such things can be legal.

You are literally wrong. Nice article, don’t see how that’s relevant though.

Could it be, that you don’t know what “intelligence” is? And what falls under definitions of the “artificial” part in “artificial intelligence”? Maybe you do know, but have a different stance on this. It would be good to make those definitions clear before arguing about it further.

From my point of view, the aforementioned branches, are all important parts of the field of artificial intelligence.

I totally agree with Linus Torvalds in that AIs are just overhyped autocorrects on steroids

Did he say that? I hope he didn’t mean all kinds of AI. While “overhyped autocorrect on steroids” might be a funny way to describe sequence predictors / generators like transformer models, recurrent neural networks or some reinforcement learning type AIs, it’s not so true for classificators, like the classic feed-forward network (which are part of the building blocks of transformers, btw), or convolutional neural networks, or unsupervised learning methods like clustering algorithms or principal component analysis. Then there are evolutionary algorithms and there are reasoning AIs like bayesan nets and so much much much more different kinds of ML/AI models and algorithms.

It would just show a vast lack of understanding if someone would judge an entire discipline that simply.

“Everything is a file.”

What’s wrong with Canonical?