AnyOldName3

So that’s why I recognised his face.

Macklemoore was opening for Ed Sheeran on his tour, and took some time in his set to speak out in favour of not genociding Palestinians, including clarifying statements that he wasn’t blaming Jews in general, just specifically the state of Israel.

The owner of many of Sheeran’s tour venues phoned him and said he needed to change his opening act or he’d be barred from performing at venues owned by the same company and several other venue-owners who’d agreed to join the threat. Sheeran caved, despite the fact that some of the tour dates were too soon to plausibly book a replacement capable of filling the venues, and Sheeran being a massive ticket-seller in general, so it likely being a bluff.

P!nk retweeted a message from a pro-Israeli organisation accusing Macklemoore of extreme and vile antisemitism, then when called out for it, doubled down with direct accusations of Macklemoore being an antisemite and wanting to harm Jews.

Given that Ed Sheeran is Rupert Grint, and P!nk doesn’t look like P!nk, I suspect that P!nk is not P!nk. Off the top of my head, I think there might be a famous effeminate gay man that vaguely looked like that, and upon using reverse image search, I learned that this is James Charles, who is indeed a famous effeminate gay man, and a YouTuber.

If any two adults using a piece of playground equipment would have that happen, it’s amazing that the World Trade Center lasted until 2001.

I didn’t say people can’t find it funny, just that a layer of the joke is that the woman is fat.

The joke is partly that she weighs so much more than he is that he’s flung at ridiculous speed, so there are definite undertones of fat people are funny and women shouldn’t be fat, even if you missed them.

I got as far as discovering that nut as in crazy is the earliest and nutter and nut case are derived from it, and nut was (and still is) slang for head, plus the terms nuts and nutty also meant crazy, so it’s a fairly obvious step for nut to pick up that definition, too.

Nutter, nut and nutcase have been used to refer to crazy people for a lot longer than nut has been used to refer to wanking

The optimal format for interchanging 256-colour palletised animated images of giraffes.

This is a common misconception. Trans people actually have a directional air dash.

When governments print banknotes, they can sell them and get money to do things at face value, instead of having to get loans and issue bonds where they’d have to pay interest or charging taxes where their citizens would object. In fact, in countries like the EU, UK and USA, despite normal people and normal companies using cash less and less, for the past couple of decades, the amount of cash printed has increased rapidly because as long as people buy it, there’s a big incentive for governments to print it. Bigger face value notes mean more money for less printing, so are the best thing to issue, as long as people are buying them.

That leaves a big question of who on earth is buying more banknotes each year than the last. The obvious thing that can be best done by banknotes is storing a large value in a small space with the ability to be moved around without traceability or counterfeiting, which really only matters to money launderers. Things like bank transfers and cryptocurrencies can be traced as long as someone knows who owned the money at some point, but if you buy your bitcoin with cash from someone who doesn’t keep records of who gave them the cash, then your crypto wallet is totally opaque to the authorities.

The people involved range from minor things like spouses hiding money in a divorce to tax dodgers to drug dealers to people traffickers to sanctioned governments, and when that’s all added up and funneled through opaquely-owned shell companies so it doesn’t look like it’s Russia or Iran’s money buying the cash, there’s enough demand for governments to justify building new money printing facilities and issuing higher denomination banknotes.

If you want to learn more, there’s quite a lot more detail in Everybody Loves Our Dollars by Oliver Bullough.

Unless you pick a particularly short-lived isotope, the radiation wouldn’t have time to hurt you before you died of regular heavy metal poisoning like you’d get from something boring like lead or mercury.

Pretty effective because of its high density, too. It’s a shame it’s brittle and would give you heavy metal poisoning.

It’s not just skills not being passed down, but also that as technology has moved on, things have got more complicated, and then the skills needed to figure out why something isn’t working, and what needs doing to fix it plus actually carry out the fix, have got more and more technical, to the point that anyone who could do a repair could also probably get a much better-paying career than repairing things.

That’s not an inherent problem, as a good service manual from the manufacturer could bypass the need to understand all the details of how a device works to identify a root cause, but it’s not in most companies’ interests to provide one that good when regulation doesn’t force them to, so for the most part, things need repairing without help from the manufacturer.

Depends on whether you’re in a country that washes eggs before sale too get rid of the cloaca residue or one that keeps it on so eggs can be kept safely at room temperature. Unwashed eggs will have faeces on their shells, and you might not want to cook noodles in faeces.

Technically it was the Free Software movement that was a form of Leftism, and Open Source was Capitalism’s attempt to subsume it once it became apparent that it was capable of producing better software.

You need to know how to carry out a cyberattack before you can devise a way to stop it, so CS students need to be taught how to do cyberattacks to learn about cybersecurity.

I did see an angle in the BBC coverage either after the game had finished or in the break before extra time where it did indeed look like a foot got stepped on, but the commentators said that even then, it shouldn’t have been a foul as it was clearly accidental and the ball clearly was touched. If Argentina were held to the same standards, they’d have been down to two men by half time.

If you’re using antiperspirant that boasts that it lasts all day, it works by encasing the aluminium salts that make it antiperspirant in microscopic wax beads that are supposed to break open over the day as you move around. This leaves waxy stains behind that are a pain to wash out as the aluminium salts and wax protect each other from detergent and water.

What works is something acidic that will react with the aluminium salts and ideally the wax, too. I’ve had great success soaking t-shirts in water with some sulfamic acid (also available as coffee machine descaler) for a day or two. Vinegar might work, but it’ll be less effective and so take longer and need more, so will be smelly and more expensive.

If we’re going to pull up other people’s pithy phrases that aren’t intended to be taken entirely literally, then the relevant one here is machine learning is the second best solution to any problem. In the (approximately, depending on how you define it) century people have been thinking about computers, we’ve already found better solutions to lots of problems. If a transformer-based neural network can get 99% accuracy in sixty seconds on 92 billion transistors of GPU and billions more for its VRAM, that’s pretty useless if we can also do it with 100% accuracy in sixty microseconds on a $1 microcontroller, or even faster on a less constrained device.

The attention is all you need phrase is specifically in the context of sequence transduction models, and specifically referring to the discovery that they don’t need a combination of attention, recurrence and convolution, but actually only need attention if it’s used in the novel way introduced by the paper. If you don’t need to transduce any sequences, then this isn’t necessarily relevant, and it’s critically not a claim that you can do everything by transducing sequences. It was a surprise that applying it to generating new text instead of just converting it worked as well as it did, and a surprise that it kept getting better with larger models instead of plateauing around the GPT-1 and GPT-2 era, and a surprise that the text generation could be used to do other things, even ones as basic as addition. These things weren’t predicted by the Attention Is All You Need paper.