Well there’s also trips to Israel to train with the IDF.
underisk
Passing a law to give the executive branch overreaching censorship authority over the internet while simultaneously campaigning that the other option in the next election wants to use the power of that office to overthrow democracy. This is the “good ending”.
Why not? Nationalize it and treat it like the infrastructure it is. Take the ISPs, too, while you're at it.
Video is nearly impossible to host in a sustainable way. The bandwidth usage is among the most expensive things you can host. The only way you’re getting something better than YouTube is if it’s tax funded somehow.
They wouldn’t fight the landlords because a lot of them are landlords.
They would simply lobby to have the law repealed or, more likely, vetoed before passing. Failing that, they would exploit every loophole and edge case to take advantage of it and cry to lawmakers and voters that the law is the problem rather than their circumvention of it.
how is it an experiment to restore things to the way they used to be? pretty sure we already know how it works out.
they already generate revenue in an agreeable way. they have two methods of paying them: Nitro and Server Boosts. they made $440 million dollars of revenue in 2020 off this. if your business can't find a way to be sustainable off of half a billion dollars then it probably doesn't deserve to continue existing.
I consider myself pretty broke and I don’t think I could convince anyone to give me nearly $200 million for bail.
I imagine if this attacker wasn't in a rush to get the backdoor into the upcoming Debian and Fedora stable releases he would have been able to notice and correct the increased CPU usage tell and remain undetected.
I think ideas about prevention should be more concerned with the social engineering aspect of this attack. The code itself is certainly cleverly hidden, but any bad actor who gains the kind of access as Jia did could likely pull off something similar without duplicating their specific method or technique.
There are tons of machine learning algorithm libraries easily usable by any relatively amateur programmer. Aside from that all they would need is access to a sufficient quantity of geographically tagged photographs to train one with. You could probably scrape a decent corpus from google street view.
The obtainability of any given AI application is directly proportional to the availability of data sets that model the problem. The algorithms are all packed up into user friendly programs and apis that are mostly freely available.