No he doesn’t and yes he does are not argument. You are clearly both stupid.
No he doesn’t and yes he does are not argument. You are clearly both stupid.
A Dirac impulse slap would only hurt once
According to their forum the extensions are back online in Russia: https://discourse.mozilla.org/t/the-censorship-circumvention-extension-has-disappeared-from-the-russian-version-of-mozilla-addons/130914/38
The extensions should be back online: https://discourse.mozilla.org/t/the-censorship-circumvention-extension-has-disappeared-from-the-russian-version-of-mozilla-addons/130914/38
It depends what you mean by useful. Most humans are (at least at the moment) more versatile than even the most advanced AI we have. But you have to keep in mind that there are jobs with pretty mundane tasks where you don’t really need the intelligence and versatility of a human.
True, but It’s still not what I meant unless they kill those humans. The employees that did that work before still need the 100W. It might be that they can now do something else (or just be unemployed) but the net energy usage is not going down.
The problem is that using those tools no matter how energy efficient will add to the total amount of energy humans use, because even if an AI generates an image faster than a human could, the human still needs 100W constantly.
This doesn’t mean, that we shouldn’t make it more efficient but let’s be honest, more energy efficient AI just means that we would use even more AI everywhere.
No shit Sherlock
OC is probably from an EU county where everything has to normalized to p. 100g because everything else is just insane.
If you are fine with touching winget to download something, you probably should be fine by touching edge to download something.
How did you install chocolatey or downloaded the script to install it?
It doesn’t matter because they show the images to multiple people and even shift the images around. If a square is only halfway there some people will click it, some won’t and this way you can generate some sort of heat map which is all you need to label your training data.
Ok if it’s up for two days and still not showing better quality than something different is going on. YouTube is typically pretty fast with encoding videos and most of the time all resolutions are finished between 15min and 1h after uploading the video, so it’s maybe not that in your case.
This also happens when the video was just uploaded recently and YouTube hasn’t finished encoding all the different resolutions.
It doesn’t matter if you divide ln(2) or x by three, it’s the same thing.
By tweaking a few parameters you can turn every base into any other base for exponentials. Just use e^(ln(b)*x)
PS: The formula here would be e^(ln(2)/3*X) and x is the number of months. So the behavior it’s exponential in nature.
Original post is not linearly interpolating but exponentially.
Doubling every three months is an exponential interpolation and not a linear one!
Just because you are arguing doesn’t mean that everything you say is an argument.