I bought the 2019 one and ended up selling it for this reason.
Have never had CEC compatibility issues with anything else. I’ve rotated through Samsung and TCL TVs, Roku Boxes, Google TV Boxes, Chromecasts, Switches, Xboxes, Yamaha and Denon Amps, and Vizio Sound Bars, but the only showstopping CEC issue I’ve ever had was with the shield.
What on earth are you basing that on? Just blind faith in Nvidia?
Yeah, you can kind of tell, I think Chromecast Audios are the same thing.
Either one of the Google founders / board members still use them and love them and won’t let the company discontinue them, or one of the original engineers / PMs has risen up to the point where they can keep allocating support budget to it.
I mean, in that case, this just feels like adulthood. I don’t sleep to stay healthy (even though I probably should), I have so much stuff to do that I sleep just enough so that I have enough energy to get everything done.
The original Copilot is GitHub Copilot which is a coding assistant and it’s very popular and useful for developers. I think most of the paying copilot customers and usage are coming from there.
3x increase makes sense to me.
GitHub Copilot (the original copilot) is wildly popular amongst professional software developers, and is used more and more as it gets more powerful.
I suspect most of the original paying customer base are developers and they’re seeing a 3x usage, primarily amongst them, with a small bump from users of all the other copilots.
Does still be healthy include feeling rested?
If so, this has to be the craziest opinion I’ve ever heard. You’re trading 8 hours of time for the feeling of curling up in a bed, and for the feeling of waking up in the morning?
You can get that with a 15m nap, and I’d do that like once or twice a week. Life I way too short and there’s so much other shit I would do with an extra 8 hours in the day.
Most major languages these days are multi-paradigm languages that can do procedural, functional, or object oriented coding.
C#, Kotlin, JavaScript, TypeScript, Go, Python, Swift, etc all fall into this bucket.
Java has made a lot of efforts to support functional programming, but it’s still not first class.
I would argue that these languages adopting functional coding as a first class citizen has made dedicated functional languages somewhat more obsolete, but they also paved the way and set the standards for the general languages that came after.
On the web side of things, the most popular JavaScript / TypeScript frameworks these days are often fundamentally functional though, from React on the front-end to Express on the back end.
Functional languages are inherently built on non-functional ones, for the same reason that object oriented languages are built on non object oriented ones, because cpus are fundamentally not object oriented or functional.
They are computational machines with specific instructions around moving values in memory and performing certain operations on them.
Assembly / machine code is always, at a fundamental level, procedural programming because at a the most fundamental level, cpus are designed as procedural machines, so all higher ordered languages, from C, all the way up through Python and Lisp, have to translate down to assembly, which maps to the machine’s instruction set, which is procedural and imperative.
However, there is an OS that tries to be functional as much as possible though, and that’s a Linux distribution called NixOS, based on the functional language Nix.
I mean, this is literally an argument against using oxen to plough fields instead of doing it by hand.
The answer is always that society should reorient around not needing constant labour and wealth being redistributed.
It is not that act of reflecting off a surface that induces an echo with energy, the echo is a transformation.
The same dissipation of energy occurs no matter what because of air friction
Reflection doesn’t induce energy, it dissipates it because it does not reflect perfectly.
You are precisely wrong here, echoes require open space to proliferate.
Go out to a field and try to produce an echo. They literally require walls to bounce off of.
Isn’t the reason you are invoking a contortion of scale to shift our focus to inside one of these smaller bubbles/cells motivated by a desire to induce a sense of some small degree of open space around us? In a sense, aren’t you arguably still invoking the idea that space is what allows echoes rather than density and enclosure?
You need some space yes, ideally the inside of your chamber needs to be mostly empty and insubstantive.
However, echo chambers can not be filled with too much space, because echoes don’t work at infinite scale. Sound dissipates and loses energy as it travels through air, so for an echo to occur and you to hear it, you need to be a relatively short distance away from a wall. To be truly echoey and hear multiple echoes of the same sound bouncing back and forth on the walls in front of and behind you, you need those walls even closer together, for not just the extra distance travelled, but also how much energy is lost during each reflection.
An echo chamber is inherently a closed space because open spaces don’t echo because there’s nothing to bounce off of.
Echo Chambers’s defining characteristics are walls that cut them off from the outside world, being large voids with little substance inside, and hearing what you say repeated back to you.
Plus, if you shrank down to the size where you could fit inside one of the bubbles of acoustic foam, it may very well be echoey in there.
They’re talking about the tactility of the format, not the actual data limits on it.
You could build SSDs today with the exact same tactility of floppy disks but with terabytes of storage.
While the tester is blind as to which is which, the experimenter knows the construction of the machine and can presumably tell if it’s artificially constraining itself.
In the case of intelligences and neural networks that is not so straight forward. The humans and machines that are behind the curtain have to be motivated to try and replicate a human, or the test would fail, whether that’s because a human control is unhelpful or because the machine isn’t bothering trying to replicate a human.
I see what you’re saying but I think the problem is that you would need to test an AI while it’s unaware of being tested, or use a novel trick that it’s unaware of, to try and catch it producing non-human output.
If it’s aware that it’s being tested, then presumably it will try to pass the test and try to limit itself to human cognition to do so.
i.e. It’s possible that an AI’s intelligence includes enough human-like intelligence to completely mimic a human and pass a Turing test, but not enough to know to keep to those boundaries; but it’s also possible that it both knows enough to mimic us and enough to keep to our bounds, in which case the test then needs to be done in secret.
Maybe reconsider throwing around words like “naiive” when your source is a Europol briefing document covering various threats at a high level with no stats or numbers.
Especially since if you actually dig into it, you’d find that Europe’s illegal gun trade comes partially from old military and police weapons from the Balkans / collapse of the Soviet Union, partially from the theft of legal firearms, partially from weapons that are imported (legally and illegally) from the US and Turkey, and minorly from weapons smuggled in from other war zones / 3d printed guns.
i.e. three out of four of the biggest sources of illegal guns in Europe are caused by legal firearm ownership, and one is the collapse of the Soviet Union.
The fact is that gun control works. Dislike that all you want but it doesn’t change the stats or reality of the world. Here in Canada the vast majority of gun crime is perpetrated using guns illegally smuggled from the US and another ~15% is from legal Canadian guns that were stolen. That’s not an argument that makes wide spread gun ownership look like a good idea.
Yup, and they’re still hard to find a reasonable priced replacement for, so still go for like double their original price on marketplace.
The only downside to them is that they struggle a little bit to playback lossless audio. So you can’t play Spotify lossless off them and I found that they would occasionally crash when streaming Tidal / Quobuz lossless. I’m pretty sure this is just a thermal constraint though and you can fix it by taking off their case (some people even add heatsinks to them).