I generally have my heating at 18, anything more I am opening windows or taking off my jumper. 20 degrees would be too hot for me, if I lived in an apartment that mandated 20 degress heating at all time I wouldn't be happy about it.
My apartment mandates 23C in most rooms, 25C in one. Also, once you hit 16C, you get rapidly growing mold everywhere due to increase in humidity compensating lower temperature.
That can lead to water condensing on other surfaces which on the right surface can start mold growth. Wallpaper, exposed wood, stucco walls and some painted surfaces are all subject to this.
That is really cold, but the temperature I would keep an unused house at. If I tried to do that in our current place, my family would be extremely angry - we have it at 20 and even then I get complaints.
Your apartment mandates rooms stay at least 73.4 degrees F? 77 in another? I'd be wearing a tanktop indoors at all times. I'm having a very hard time believing this is true.
It's a common clause in rental agreements so that any mold problem can be blamed on the tenant because obviously they didn't heat their rooms to some ludicrous temperature while also opening the windows ten times a day.
Well my landlord was repeatedly explicitly pointing out these in the contract. I guess he doesn't want this luxurious apartment to degrade and lose value.
If it were my apartment, I just wouldn't do it. If the heating were centrally controlled, I'd open up the windows. 77F is simply way, way too hot inside, unless it's the summertime (and even then I'd be wearing shorts). That's insanely hot, and the idea of wasting all that energy to maintain a literal sauna inside your apartment is insane.
I'm building an integration that will use a long lived token once a month. In your experience will a long lived token expiry if not used for a month? How long do they remain valid until expiring from not being used?
This brings back memories of art school, a friend recorded themselves running up and down a hill and made many copies of copies of the video on VHS. They displayed different generations of the degrading video side by side on a bank of monitors.
The final judgement at https://chinatribunal.com makes somber reading about forced organ harvesting from prisoners in China and its increase in the last 20 years.
Funny how people blindly trust a private company with no public mandate just because they called themselves a “Tribunal” and call their press releases “judgements”.
Reminds me of Glen Quaich which I regulary cycle. Single track road, with switch backs and 12% gradients. Often I'll cycle by besumed tourist off the main road wondering where they are. Its a public road but not cleared or gritted in the winter. A couple visiting a nearby village last week were rescued by a farmer after Google sent them along this scenic route in a snow storm.
Ha, I remember knocking on the rear windscreen of a car as it passed me by, I was doing about 20mph, the car not much faster, I didn't even need to stretch my arm to do so.
The driver pull over further down the street and I had a conversion with him very calmly, he wasn't happy about me knocking on the window and told me that if he was younger he'd punch my lights out.
Can anybody offer an explanation as to why an image of a tiger can have a confidence score of 99% as a tiger but only 84% confidence score as an animal. I guess the system has no concept of taxonomy.
The classifiers were probably trained independently and are running independently here as well, not in a hierarchical fashion.
Another way of saying this is that while the tiger training data consisted completely of tigers (for positive training examples), the animal training data might not have had any tigers at all (however unlikely) -- i.e. it could be recognizing the tiger image as containing similar enough features to the images of dogs and cats and lions that it did see to trigger the animal classifier, but with only 84% confidence.
