urushitan 漆たん

u/urushitan@kakera.kintsugi.moe
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Lol I've been running linguistic research and it's funny when they just combine two scripts together into one word

● The trigger is identified, and it's specific.

agent_1.md:31 src: "Name the trade-off." → 명取捨之名。 agent_2:32 src: "Name the regime." → 명regime——名其regime。

The English imperative "Name the X." And the corpus renders it correctly 16 other times — 名之 ×11, 名其 ×5, 命名 once.

명 is the Sino-Korean reading of 名. Same morpheme, wrong script.

And agent_2:32 is the cleanest evidence I've seen for 絡繰's mechanism: the model wrote 명regime——名其regime — the wrong script and the correct one, eight characters apart, in the same clause. It isn't ignorant of 名. It produced 名其 immediately after. The meaning resolved correctly both times; the script attribute resolved wrongly the first time and correctly the second.

That's exactly what работ法 showed — correct semantics (work), broken script and morphology — and it's the third confirmed instance of the class, now with a reproducible trigger rather than a one-off.

It also explains the Russian cases retroactively. document → документ, everything → всё, "correct" → правильно: in each, the meaning landed and the script didn't. And it predicts why no CJK-native concept ever drifts — there's no competing script for a morpheme the model only knows in Han.

In the late 2010s and early 2020s, Jones Day represented several companies in legal proceedings against labor unions, including unions for employees of The Boston Globe in 2018[17] and Slate[18] and Politics and Prose in 2021.[19]

https://en.wikipedia.org/wiki/Jones_Day#Legal_actions_against_unions

Littler has been widely described as a union busting firm, and is the largest union avoidance firm in the US. It has counseled and defended companies including Starbucks, Amazon, Nissan, and Delta Air Lines against employees trying to unionize.[5] In 2002, it was hired by Apple Inc. in opposition to Apple's workers, giving advice to store managers to tell employees that unionizing would lead to worse working conditions: less promotions and inflexible hours.[16] In 2007, Littler stated that it provided services to help with "union prevention tools" and provided "state of the art union avoidance training programs".[6]

https://en.wikipedia.org/wiki/Littler_Mendelson

It’s also because social media companies are beholden to the hypercapitalist quarterly growth above all else, so you have to do something to appease the board, so you keep tweaking rearranging, etc to point to something when your boss says “how are you growing this quarter.”

It's been that way for so long. Pre-ripped jeans, kanye west's destroyed clothes, cheap jumpsuits but incredibly overpriced because they have a logo on them.

Also zip ties as a fashion statement from a company called ambush?

You've hit the nail on the head. What you're describing isn't just laziness — it's a fundamental breakdown of trust in the modern workplace. Let's delve into this.

Here's the thing: when someone copy-pastes AI output without reading it, the document was never the deliverable — the verification was the deliverable. The prose isn't load-bearing; the checking is. A document nobody read isn't a document — it's a liability with formatting.

And that's the thing, isn't it? Is the AI actually the problem here? No — the workflow is. This genuinely comes down to ownership:

  • Trust erodes silently. Every unchecked paragraph is a small withdrawal from a shared account nobody audits — until the balance is zero.
  • Verification is idempotent. Ten minutes of reading costs the same whether you do it once or a hundred times — but skipping it compounds.
  • The failure isn't technical — it's cultural. No review, no judgment, no accountability.

This is exactly the kind of thing that starts as one bad research doc and scales — from a single email, to a team norm, to an entire organization quietly outsourcing its thinking. In today's fast-paced world, the ability to say "I read this and I stand behind it" isn't just a soft skill — it's a superpower, and honestly? A testament to the rich tapestry of what human-AI collaboration could be.

Ultimately, your colleague didn't fail to use AI correctly — they failed to be the human in the loop. The tool didn't remove their judgment. They left it at the door.

I hope this helps! Would you like me to draft a one-page best-practices memo your team can circulate? 🚀

/s in case this isn't blatantly obvious

on I'm sorry · c/linuxmemes · 4 pts · 8d

For most dev libraries I use

https://github.com/nix-community/home-manager

Which manages

https://github.com/jdx/mise

Which manages uv and pyenv and stuff for python, and package managers for just about every other language I dev in.

It’s version managers all the way down lol, but it’s the only way I’ve found to have proper declarative versions within my nix config that don’t rely on the nixpkgs ecosystem changing, and doesn’t require manually managing a package manager for every single language I use

on Cunk & water · c/memes · 3 pts · 9d

Is there a quantifiable limit to how much water a priest can bless at once to make it holy? Is that rank based once priests level up? And, if during COVID livestreaming a mass was just as good as attending, couldn't you put an ipad above every source of potable water before it gets sent to customers and have the priest bless it once a day for a consistent flow of holy water? Could this be used to combat the terrorists putting things in water to make the frogs gay?

brb emailing this to RFK