Completely true, but also compression can make anything bad. I’ve seen 480p better 1080p simply because the 480p was using more bitrate, where the 1080p is encoded without enough relatively speaking.
Completely true, but also compression can make anything bad. I’ve seen 480p better 1080p simply because the 480p was using more bitrate, where the 1080p is encoded without enough relatively speaking.
New car smell, it’s awful. Sort of stale plastic if I were to describe it.
Amplified by long trips on bad roads as kid. Guaranteed to make you feel like vomiting on some sections. Now when I anticipate/pack for a trip I tend to smell that again even though I’m not even in a car.
A lot of external drives are just internal devices with another controller and casing around. I had a 4TB I used with my laptop, and tore apart the casing and just plugged it into my desktop when I built one. Unless you start hammering the external case around, the drive will be fine.
Pretty sure that site is satire, iirc with some right leaning bias but my memory is vague.
So it’s political ads, but at least fake politics :P
Pretty much anything in katakana in Japan is loanwords.
Very interesting about flew markets though, Norway is the same as Sweden here.
The simplicity of Google Photos has me still rolling with that.
But for all my music, syncthing is the best. In my case it’s synced to my phone though, and also backuped up from that to the cloud.
Not to completely spring to IKEAs defense here, but I heard they really were affected by production and shipping problems during covid. It’s reasonable prices would go up, and at least good that they are going down again.
Reminds me of folding cardboard boxes. If you are taking a flat piece and make a box of it, are you folding a box or unfolding the cardboard. Or both. And when you do the reverse, you do the same, do you not?
I don’t think shorts are bad, but they aren’t the reason I go to YouTube at all. They are just in the way.
Every time you open anything in office applications you get these small pop-ups
There used to be boxed ice cream with blueberry and egg yolk flavor. Loved it as a kid, got discontinued by the ice cream truck that had it. No replacement found. I probably won’t even like it since I have forgotten the taste at this point.
Why wait and hope for C++ to get where modern languages are now? I know there’s value in the shared experience in C++ that if adapted would make it stronger, but I can only see a development of C++ having to force a drop of a lot of outdated stuff to even get started on being more suitable.
But the language is just not comfortable to me. From large amounts of anything creating undefined behavior, the god awful header files which I hate with a passion, tough error messages and such. I also met a fun collision of C++ in Visual Studio and using it with CMake in CLion.
I’ve just started looking at rust for fun, and outside not understanding all the errors messages with the bounded stuff yet, figuring out what type of string I should use or pass, and the slow climb up the skill curve, it’s pretty nice. Installing stuff is as easy as copy pasting the name into the cargo file!
Rust is just the prospective replacement of C++ though, people act like the White house said that C++ should be replaced by rust now. But the just recommend it and other languages, C# will do for a lot of people that does not need the performance and detail that the aforementioned languages target. Python is targeting a whole different use, but often combined with the faster ones.
C++ will live a long time, and if the popularity dies down it will surely be very profitable to be a developer on the critical systems that use it many years from now. I just don’t think an evolution of C++ is going to bring what the world needs, particularly because of the large amount of existing memory related security vulnerabilities. If things were good as they are now, this recommendation would not be made to begin with.
If you want a first in first out it’s better than a list. Deque is also whats powering thread safe queues in python where you want said FIFO functionality when sending from one thread to another. (typically the order doesn’t matter since it’s threads, but generally speaking it makes more sense to take the first thing going in, out of it too.)
So you say, but it does make me flinch when it suddenly hits.
It’s probably more common that scientific notation is used. So 3.2 *10^4 or simply 3.2e4. From the little physics I had, you often used kilometers instead of something like megameters. Or used just lightyears when you got on a big enough scale.
I got a Peugeot 208. It’s small, and ok in all aspects except the software. Typical bad car UI. It works with cabled Android Auto, so for long drives that’s more than fine. But touch screen is still old, and the app/site hasn’t let me log in for a few weeks now… So I can’t remote start heating.
But it’s a great car that I bought used, for driving to and from work. Looks good, yellow color, parking sensors and rear camera for my blind ass. But is also probably not available in America for all I know, I live in Europe.
Already been explained a few times, but GPU encoders are hardware with fixed options, with some leeway in presets and such. They are specialized to handle a set of profiles.
They use methods which work well in the specialized hardware. They do not have the memory that a software encoder can use for example to comb through a large amount of frames, but they can specialize the encoding flow and hardware to the calculations. Hardware encoded can not do everything software encoders do, nor can they be as thorough because of constraints.
Even the decoders are like that, for example my player will crash trying to hardware decode AV1 encoded with super resolution frames, frames that have a lower resolution that are supposed to be upscale by the decoder. (a feature in AV1, that hardware decoder profiles do not support, afaik.)
Our company did a thing like this, focusing on the manager and above. They got password and authenticator codes out of them and admin access to the slack…
Good method to have users learn about critical thinking.
I don’t know what’s required for KLWP support in a launcher, but KLWP is a live wallpaper with touch interaction. Don’t know if stock support that on my phone. But some cool setup like media player functionality, time and such, in the font and size I want. And some other disguised shortcuts.
But for me in actual Nova, it being able to style app icons individually, swipe actions on app icons, and the dock at the bottom being able to slide to have more apps. And pretty standard now, but swipe up for app drawer and down for notifications. It works especially well with OnePlus gestures that I’m still holding on to.
I kinda get where he is coming for though. AI is being crammed into everything, and especially in things where they are not currently suited to be.
After learning about Machine learning, you kind realize that unlike “regular programs” that ML gives you “roughly what you want” answers. Approximations really. This is all fine and good for generating images for example, because minor details being off of what you wanted probably isn’t too bad. A chat bot itself isn’t wrong here, because there are many ways to say the same thing. The important thing is that there is a definite step after that where you evaluate the result. In simpler ML you can even figure out the specifics of the process, but for the most part we evaluate what the LLM said or if the image is accurate to our expectations. But we can’t control or constrain the output to exactly our needs, because our restrictions largely are just input in a almost finished approximation engine.
The problem is, that companies take these approximation engines, put them in their product and consider their output fact. Like Ai chatbots doing customer support, and make up facts like the user that was told about rules that didn’t exist for an airline, or the search engines that parrot jokes or harmful advice. Sure you and I might realize that these things come from a machine that doesn’t actually think about it’s answers, but others don’t. And throwing a “*this might be wrong because its AI” on it is not an acceptable waiver of accountability.
Despite this, I use chatgpt and gemini a lot to help me program, they get a lot of things wrong but also do great. It’s a great tool, exactly because I step in after the approximation step, review and decide. I’m aware of the limits. But putting these things in front of “users” without a review step means you are advertising that you are either unaware of this flaw, or just see the cost-benefit analysis and see that if noting else it’ll generate interest during the hype.
There is a huge potential, but throwing AI into a situation where facts are needed when it’s only making rough guesses, is the wrong way about it.