

Emacs or vim?
Emacs or vim?
I tried it in Osaka and had no issues. Tbh it’s nothing to write home about, it doesn’t really taste like anything. I feel like it’s one of those foods that’s more about the prestige associated with it than the taste. As mentioned above, it has to be a very high standard of product to be safe to eat, so it’s kind of showing off how high quality your meat is, rather than actually being delicious.
What about the public service? I don’t know about where you live, but in my country the public service doesn’t care what degree you have, just that you have one. Look into the graduate programs of your local/state/federal governments.
There’s also one called “Personal blocklist” which is very handy.
And last just as long.
The engineering department at my uni had a tensile strength testing machine which says “Made in the GDR” on it, a country that hasn’t existed for 40+ years.
Have you tried SwiftKey? I find it to be a waaaay better keyboard than the stock one, and it does support having a number row.
In general it is often true that a motor and a generator are two sides of the same coin.
If you put a current through a wire you can make a magnet move which can be used to spin a motor. And symmetrically, if you spin a wire and make its magnet move near a wire you can induce a current in the wire.
Depends on the exact wiring and stuff but yeah sometimes you can damage a motorised device by manually spinning the thing without turning it on.
I have to know, what sort of toys are you talking about? That your dad had?
after covid started
Because of Marie Kondo right?
in the most morbid way
… oh 💀
I got my maternal grandma’s ancient le creuset enamel pots when she died. They’re in perfect condition and we use them all the time.
She loved to cook, my mum hates to cook, and as luck would have it I married a woman who loves to cook. So the pots are in good hands 🥰
Lmao my niece and nephew are going to enjoy inheriting my brother’s hundreds upon hundreds of D&D minis.
At least we use (some of) them to play with though, they’re not (only) for the display cabinet.
Well said. I’m married to a clinical psychologist and she’s the most emotionally intelligent person I know. It’s the best. She’s the best.
Yep that’s github copilot suggesting what it thinks the code should be based on its training data.
100%. At that point your life is over already. Dose me up on morphine and let me sail away into the void peacefully.
It definitely helps. You can sometimes logic yourself out of a spiral by acknowledging the emotion and why it’s there, while simultaneously rejecting the need for feeling it right now.
It’s like “hey cool thanks brain I get that you want me to make sure that the bad thing doesn’t happen again so you’re looping that memory and the feeling that came with it. But actually that’s not helpful, that situation actually (wasn’t dangerous) / (won’t happen again) / (isn’t something I can solve right now), so let’s move on.”
With practice, brain usually says “ok no worries”, and you can move on. It’s not really that simple but that’s the idea.
At 10 he’s alllllmost at that age where anything a grown-up relative buys for him is gonna be cringe and not the right brand/style/whatever. You can’t go wrong with a voucher so he can get exactly what he wants. Maybe a voucher for a skate shop? You could even take him there and help him get something so it’s still an uncle/aunt purchase.
There’s more to it than that. Firstly, at a theoretical level you dealing with the concepts of entropy and information density. A given file has a certain level of information in it. Compressing it is sort of like distilling the file down to its purest form. Once you reached that point, there’s nothing left to “boil away” without losing information.
Secondly, from a more practical point of view, compression algorithms are designed to work nicely with “normal” real world data. For example as a programmer you might notice that your data often contains repeated digits. So say you have this data: “11188885555555”. That’s easy to compress by describing the runs. There are three 1s, four 8s, and seven 5s. So we can compress it to this: “314875”. This is called “Run Length Encoding” and it just compressed our data by more than half!
But look what happens if we try to apply the same compression to our already compressed data. There are no repeated digits, there’s just one 3, then one 1, and so on: “131114181715”. It doubled the size of our data, almost back to the original size.
This is a contrived example but it illustrates the point. If you apply an algorithm to data that it wasn’t designed for, it will perform badly.