Former RIF user from reddit, new to lemmy.
Not Ikea specific, but proper wood furniture only really makes sense if you’re staying somewhere long term, have your own house, etc. If you have to move every couple of years for work, because rent is getting too expensive, etc etc, solid wood furniture is really inconvenient and expensive to transport.
I’ve used Linux on my private laptop for the past few years, never had any major issues. Work desktop is running Ubuntu, no major problems except for the odd bit of poorly maintained software (niche science things, so that’s not really a Linux issue). Laptop breaks, I get a Windows 11 laptop from work…and I’ve had so many problems. Updates keep breaking everything, and I’ve had to do a factory reset more than once since the recovery after those updates also always failed. Wish I had my good old Linux laptop back :(
Surely that depends on where in Asia you’re looking at as well? On average, the number of languages people speak is quite different between, say, India and Japan. Or Switzerland vs Romania in Europe.
I actually used to have one, but even though I was very careful with it, the screen kept breaking from normal everyday use. Eventually, my phone insurance decided they’d no longer cover this type of phone due to it being too fragile, so I went back to using a regular phone.
I do understand the curiosity though, just seeing what malware is trying to do can be quite interesting. Maybe someone should tell that person about VMs though lol
Not sure if this counts since most of them have recently closed down, but for a while there was a large number of American candy stores popping up all over town. Many cash only, same products and same branding across many different stores. Hardly anyone was ever shopping there, and yet they could somehow always afford to pay rent for prime locations. Eventually, several journalists picked up on the topic and found evidence many of them were fronts for money laundering and were tied to organised crime. Not sure if it was directly connected to that increased awareness, but shortly after more of these articles were published, most of the local stores closed.
I’d assume that’s either due to bias in the training set, or poor design choices. The former is already a big problem in facial recognition, and can’t really be fixed unless we update datasets. With the latter, this could be using things like visible light for classification, where the contrast between target and background won’t necessarily be the same for all skin tones and times os day. Cars aren’t limited by DNA to only grow a specific type of eye, and you can still create training data from things like infrared or LIDAR. In either case though, it goes to show how important it is to test for bias in datasets and deal with it before actually deploying anything…