I believe that’s what a write down generally reflects: The asset is now worth less than its previous book value. Resale value isn’t the most accurate way to look at it, but it generally works for explaining it: If I bought a tool for 100€, I’d book it as 100€ worth of tools. If I wanted to sell it again after using it for a while, I’d get less than those 100€ back for it, so I’d write down that difference as a loss.

With buying / depreciating / selling companies instead of tools, things become more complex, but the basic idea still holds: If the whole of the company’s value goes down, you write down the difference too. So unless these guys bought it for five times its value, they’ll have paid less for it than they originally got.

I wish you a speedy and affordable recovery

Which words do you mean? Because I understand them all. They convey information, the fundamental point of language, hence they don’t detract. Just because you can’t make sense of them doesn’t mean they’re nonsense.

If you’re talking about “Mach Yeet”, yeet refers to forceful movement. This specific combination then means really fucking fast. The exact speed doesn’t matter. The frivolity of the language underscores their excitement or might just be their idiolect.

Either way, so long as it’s nothing hateful or harmful (beyond hurting your linguistic sensibilities), trying to police other people’s vocabulary is narrow-minded and needlessly stuck-up.

Why don’t you yeet that shit (throw it far away) and come join us in watching the fascinating evolution of language?

For some character sets with a lot of different characters like the Han Unicode representation, that could be cumbersome. Granted, Han might not be a great risk for confusion so you might just whitelist them collectively, but my point is that the approach would have to be more nuanced and complex. Ultimately, humans are complex and so are their languages.

If AI constantly refined its own output, sure, unless it hits a wall eventually or starts spewing bullshit because of some quirk of training. But I doubt it could learn to summarise better without external input, just like a compiler won’t produce a more optimised version of itself without human development work.

To clarify, I meant that from the devs’ perspective: The effort of individually vetting every single character for possible confusion is immense, and the end result would still be just as western-centric. Imagine having a domain name in Greek where some characters are replaced because they might be confused for Latin characters. Or, conversely, having a few characters replaced by similar Latin ones for an attack, which your solution wouldn’t catch.

The result would also still be unreliable even for Westerners. If some other character set you didn’t vet also contains similar looking characters, there’s a new surface for attack.

To properly close that security gap would be an immense arms race… or you could simply shut down the entire attack vector.

So when you consider the importance of protecting gullible people from insidious attacks and the complexity of trying to allow non-Latin characters without creating openings, the question “How widespread are non-Latin URLs in my target audience and is it critical that they be rendered in their native script?” becomes a calculation of cost and benefit.

It’s a shit compromise to deal with the shit fact that some people being assholes ruins good things for the rest of us who aren’t.

Yeah but the compilers compile improved versions. Like, if you manually curated the summaries to be even better, then fed it to AI to produce a new summary you also curate… you’ll end up with a carefully hand-trained LLM.

Though I guess that would be a lot harder.

From the devs’ perspective, the relevant question will be this: How hard is it to map out all the lookalikes, and just how important is it to render foreign domains properly?"

As in, desgined to fail early? I highly doubt that.

Even if it were true, lightbulbs still last longer and are way cheaper. Whether I have to replace them every six years or every five years doesn’t matter as much.

You could just google it-

oh wait