The technique they use does not really change to the issue.
It's also not necessarily more secure than third party cookies like you claim? You can refuse those cookies and not all website use them, while all website ends up in browsing history.
The technique they use does not really change to the issue.
It's also not necessarily more secure than third party cookies like you claim? You can refuse those cookies and not all website use them, while all website ends up in browsing history.
We have known for more than a decade now that training machine learning models on huge user data sets allows to predict a lot of things with decent accuracy.
Twitter has been gathering a lot of data on all of its user, it is expected them to be able to predict interests like (and much more) this if you use their service.
No need to spy on your smartphone beside what you submit willingly https://hbr.org/2012/09/use-big-data-to-predict-your-c
I believe you should Google that kind of stuff instead of trying to make it a debate in comments. There is no single right move about what to do with the money, but governments are spending billions (including those from these fines) to build their countries https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Government_expenditure_on_general_public_services
Lol you make it look like the government is keeping the money. The population is benefitting from fines imposed on companies violating the law, what's odd about this?
Probably because it's not newsworthy as it's systematic, for instance Facebook and Googke have had to pay ever ibcreasing fines for GDPR violation, now exceeding a billion dollar, and get in line with the regulation, or get forbidden to opperate in the EU.
They have been getting those fines for years with a delay of a couple of months to pay them. They would have been barred from the EU long ago if they had not paid them.
I already had when I posted.
For instance this clearly says that regular clothing is perfect for sun protection of you don't go for something too bright. https://www.skincancer.org/skin-cancer-prevention/sun-protection/sun-protective-clothing/
My point is not that it's not weird at all, it's that in addition to quoting completely false numbers, you put forward a comparison that makes absolutely no sense. The numbers compared are not "weird" or "not weird", they are absolutely not comparable.
Unfortunately your comparison still makes no sense, you are comparing the proportion of fuel coming from a location to the proportion of the population that benefits from a service that use the fuel in question.
Really not meaningful 😅
I don't see the difference with regular clothing, which also basically offers excellent protection from the sun?
In my mind that kind of post comes at best from completely naive people that confuse social media with Google to ask basic questions, and at worst someone with malicious intent to make it look like this is an open question that does not have a clear answer yet (while, as you mentioned, it totally does).
Also, LLMs are trained on SO data. It remains a staple for coding, LLMs just reinforced that.
This is where I have been finding anything I really need to torrent.
I stopped for a couple of years during the peak of kickass torrent, when I came back TPB had moved to an onion domain but it seems the quality is higher than in the 2010s.