They are often on purpose, as political decision. So that it is easier to push for privatization
They are often on purpose, as political decision. So that it is easier to push for privatization
.nfXXXX files might be related to NFS
https://kb.netapp.com/onprem/ontap/da/NAS/What_are_nfsXXXX_files_and_how_do_I_delete_them
Because he was ceo of a company in a critical position to define the future of economy. Currently the tech field is the biggest and most influential of all economic fields. And by tech here we talk about digital world. There’s absolutely no comparable sector at the moment for importance, not even pharma.
It literally defines the modern economy. In the field, openai is an incredibly important company for future relative success and power of big tech companies.
This is why it is so important for world economy
I don’t know if steam big picture use gamescope https://github.com/ValveSoftware/gamescope.
I would guess it doesn’t, but I cannot be 100% sure, I haven’t used steam on my laptop since ages
It provides an alternative UI environment built and optimized for gaming. It has a separate windows manager, a complete ui, and a set of menus to simplify customization of whatever is needed for gaming and power saving.
And quick access to steam store.
It is extremely convenient if you like a console-like experience, but, if you are a tinker gamer, it has anyway a lot of nice additional features.
It is inconvenient as general purpose desktop os, because on update you basically lose packages not installed as flatpack
I am talking about “forum-like” websites not static web pages. The article is about fediverse
The problems are bots spamming, or attacking to gather PI. Too much effort. We can’t have nice things anymore
I was one of them. I won’t do it now. Security threats have become so time consuming nowadays to handle.
Wow!
What about the flaming and jelly windows? That was cool stuff
Powershell one liners are uglier than the worst winner of Obfuscated Perl Contest. Super cringe…
For research labs, dell workstations used to be great. Put debian on it and you could forget about problems. I don’t know if it is the case anymore.
The selling point of xps is that they are light. Many of us just need light laptops nowadays, as almost any hardware is more than capable of any task with the exception of gaming. But I have never gamed on laptops
Xps developer edition has been a thing since almost a decade. I bought a xps13 with ubuntu in Europe. I replaced it as soon as it arrived though. The built in OS was not “standard”.
I still use it almost daily. Battery has gone, but everything else works
Light ThinkPads are not cheap either
Main issue of mine was the wifi card. Awful. Everything else very nice.
No, its taste isn’t something that Italians would appreciate. It tastes like a cheap mix of a cheap German frankfurter and cheap calabrese 'nduja. It’s almost impossible to find it in Italy.
I have never seen it in my life in Italy
Thanks, so I don’t have to be that “actually” guy mentioning that 99% of Italians have never seen pepperonis in their life. You saved me
In the easiest example of a neuron in a artificial neural network, you take an image, you multiply every pixel by some weight, and you apply a very simple non linear transformation at the end. Any transformation is fine, but usually they are pretty trivial. Then you mix and match these neurons to create a neural network. The more complex the task, the more additional operations are added.
In our brain, a neuron binds some neurotransmitters that trigger a electrical signal, this electrical signal is modulated and finally triggers the release of a certain quantity of certain neurotransmitters on the other extreme of the neuron. Detailed, quantitative mechanisms are still not known. These neurons are put together in an extremely complex neural network, details of which are still unknown.
Artificial neural network started as an extremely coarse simulation of real neural networks. Just toy models to explain the concept. Since then, they diverged, evolving in a direction completely unrelated to real neural network, becoming their own thing.
No, what you describe is a basic decision tree. Let’s say the simplest possible ML algorithm, but it is not used as is in practice anywhere. Usually you find “forests” of more complex trees, and they cannot be used for generation, but are very powerful for labeling or regression (eli5 predict some number).
Generative models are based on multiple transformations of images or sentences in extremely complex, nested chains of vector functions, that can extract relevant information (such as concepts, conceptual similarities, and so on).
In practice (eli5), input is transformed in a vector and passed to a complex chain of vector multiplications and simple mathematical transformations until you get an output that in the vast majority of cases is original, i.e. not present in the training data. Non original outputs are possible in case of few “issues” in the training dataset or training process (unless explicitly asked).
In our brain there are no if/else, but electrical signals modulated and transformed, which is conceptually more similar to the generative models than to a decision tree.
In practice however our brain works very differently than generative models
Teeth are absolutely not cosmetic. Infection of a tooth can lead to dangerous consequences up to sepsis. Your parents didn’t have teeth because they had them removed by a dentist to avoid abscesses.
Guys, please don’t underestimate dental health