Well one reason is that this is basically exactly the thing current AI is perfect for - detecting patterns.
Well one reason is that this is basically exactly the thing current AI is perfect for - detecting patterns.
That’s not how gravity works. It’s proportional to your own mass.
?
Where did you get 9x=5 -> x=1
and 5/9 is 0.555… so it checks out.
Man this still hits so hard, god damn nostalgia.
Yeah but then you look at China and it’s at 4%. Maybe they got into the game early enough to get enough adress space for it to be serviceable?
Interesting that India has such a high percentage. I’m guessing it’s because most of their network infrastructure is probably relatively new and so they can include support right off the bat, instead of having to retrofit stuff?
Didn’t know about the outbound traffic thing, that’s really cool.
Well on one hand yes, when you’re training it your telling it to try and mimic the input as close as possible. But the result is still weights that aren’t gonna reproducte everything exactly the same as it just isn’t possible to store everything in the limited amount of entropy weights provide.
In the end, human brains aren’t that dissimilar, we also just have some weights and parameters (neurons, how sensitive they are and how many inputs they have) that then output something.
I’m not convinced that in principle this is that far from how human brains could work (they have a lot of minute differences but the end result is the same), I think that a sufficiently large, well trained and configured model would be able to work like a human brain.
iPhones are the only the biggest by market share in very rich countries like the nordics, US, UK and a few others, with a bias towards anglophone countries I’d say. https://deviceatlas.com/blog/android-v-ios-market-share
I mean, you can change your passwords later on if you think a quantum computer broke them. In the case of quantum computers your network traffic is also gonna get cracked anyways, so they can steal your account information through that as well.