Like most of Microsoft’s more odious features, this one can be turned off through GPO/Intune policy across an organization. As such, the liability will mostly fall on the organization to make sure it’s off. The privacy and security impacts will be felt by individuals and small businesses.
They claim that the data is only stored locally, so far. We’ll see, I guess.
The data is unreliable. If we knew how much of the data was faked we could compensate for it, but we don’t. We could discard the outliers, but we don’t know if we’re discarding valid data, and someone who is deliberately tainting the dataset would submit a bunch of samples that are only a little bit off as well.
And while some of the numbers must be from trolls, manufacturers (and shady investors) are heavily incentvized to sway the listings.
One nice thing about learning (and teaching) python is that it’s a multiparadigm language. Students don’t have to learn about indenting until you cover flow control. Classes and OOP can come way, way later.
I started with C++. Also multiparadigm, but the syntax and compiler errors were brutal, not to mention pointer arithmetic.
I’m not sure I can think of a language that would be better suited to learning. GDScript seemed kind of nice, and you get to make games.
Some of the number are faked. The only person who knows the accuracy of these one are the people who posted them.
Because if you look closer at the data in the Geekbench browser, it’s kind of shit. The iPad entries are probably not too far off, but there are a ton of entries that are obvious garbage, like a Pixel 7 Pro with a Ryzen 9 5900X. Also, a lot of system names are VM hypervisors. In a VM, you can control the realtime clock that the Geekbench profiling software sees, so you can just kind of dial whatever performance number you want.
Geekbench obviously just takes the average, but the average of garbage is still garbage.
Hyper-V is absolutely the way to go here. Linux is quite well supported.
There is: https://en.wikipedia.org/wiki/.uk