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From back when I used to flip through a thick dictionary, taking a minute for each sentence, to now, when I use an LLM to write in English, people don't realize that I'm personally speaking to them in English for their sake. Honestly, I just want to speak in Korean. I hate English.
To be precise, it's not English as a language that I hate, but English as a form of power.
I'm writing this in English.
Not because English is my first language—it isn't. I'm writing this in English because if I wrote it in Korean, the people I'm addressing would run it through an outdated translator, misread it, and respond to something I never said. The responsibility for that mistranslation would fall on me. It always does.
This is the thing Eugen Rochko's post misses, despite its good intentions.
@GargronEugen Rochko argues that LLMs are no substitute for human translators, and that people who think otherwise don't actually rely on translation. He's right about some of this. A machine-translated novel is not the same as one rendered by a skilled human translator. But the argument rests on a premise that only makes sense from a certain position: that translation is primarily about quality, about the aesthetic experience of reading literature in another language.
For many of us, translation is first about access.
The professional translation market doesn't scale to cover everything. It never has. What gets translated—and into which languages—follows the logic of cultural hegemony. Works from dominant Western languages flow outward, translated into everything. Works from East Asian languages trickle in, selectively, slowly, on someone else's schedule. The asymmetry isn't incidental; it's structural.
@GargronEugen Rochko notes, fairly, that machine translation existed decades before LLMs. But this is only half the story, and which half matters depends entirely on which languages you're talking about. European language pairs were reasonably serviceable with older tools. Korean–English, Japanese–English, Chinese–English? Genuinely usable translation for these pairs arrived with the LLM era. Treating “machine translation” as a monolithic technology with a uniform history erases the experience of everyone whose language sits far from the Indo-European center.
There's also something uncomfortable in the framing of the button-press thought experiment: “I would erase LLMs even if it took machine translation with it.” For someone whose language has always been peripheral, that button looks very different. It's not an abstract philosophical position; it's a statement about whose access to information is expendable.
I want to be clear: none of this is an argument that LLMs are good, or that the harms @GargronEugen Rochko describes aren't real. They are. But a critique of AI doesn't become more universal by ignoring whose languages have always been on the margins. If anything, a serious critique of AI's political economy should be more attentive to those asymmetries, not less.
The fact that I'm writing this in English, carefully, so it won't be misread—that's not incidental to my argument. That is my argument.
From back when I used to flip through a thick dictionary, taking a minute for each sentence, to now, when I use an LLM to write in English, people don't realize that I'm personally speaking to them in English for their sake. Honestly, I just want to speak in Korean. I hate English.
I'm writing this in English.
Not because English is my first language—it isn't. I'm writing this in English because if I wrote it in Korean, the people I'm addressing would run it through an outdated translator, misread it, and respond to something I never said. The responsibility for that mistranslation would fall on me. It always does.
This is the thing Eugen Rochko's post misses, despite its good intentions.
@GargronEugen Rochko argues that LLMs are no substitute for human translators, and that people who think otherwise don't actually rely on translation. He's right about some of this. A machine-translated novel is not the same as one rendered by a skilled human translator. But the argument rests on a premise that only makes sense from a certain position: that translation is primarily about quality, about the aesthetic experience of reading literature in another language.
For many of us, translation is first about access.
The professional translation market doesn't scale to cover everything. It never has. What gets translated—and into which languages—follows the logic of cultural hegemony. Works from dominant Western languages flow outward, translated into everything. Works from East Asian languages trickle in, selectively, slowly, on someone else's schedule. The asymmetry isn't incidental; it's structural.
@GargronEugen Rochko notes, fairly, that machine translation existed decades before LLMs. But this is only half the story, and which half matters depends entirely on which languages you're talking about. European language pairs were reasonably serviceable with older tools. Korean–English, Japanese–English, Chinese–English? Genuinely usable translation for these pairs arrived with the LLM era. Treating “machine translation” as a monolithic technology with a uniform history erases the experience of everyone whose language sits far from the Indo-European center.
There's also something uncomfortable in the framing of the button-press thought experiment: “I would erase LLMs even if it took machine translation with it.” For someone whose language has always been peripheral, that button looks very different. It's not an abstract philosophical position; it's a statement about whose access to information is expendable.
I want to be clear: none of this is an argument that LLMs are good, or that the harms @GargronEugen Rochko describes aren't real. They are. But a critique of AI doesn't become more universal by ignoring whose languages have always been on the margins. If anything, a serious critique of AI's political economy should be more attentive to those asymmetries, not less.
The fact that I'm writing this in English, carefully, so it won't be misread—that's not incidental to my argument. That is my argument.
A lot of the devices we use in the kitchen (Thermomix, microwaves, dishwashers, coffeemakers etc) use complete operating systems and embedded computers nowadays, often with internet connectivity for who knows what. So. Will we soon see mandated fingerprint readers for age verification or will a simple switch with "18+" be sufficient to continue to cook and clean? ;)
#見つけてくれてありがとう祭開幕
ILFORD、高いだけあってフィルムの質が良いわ
텍스트 큐브 이거 해킹당한거여 아님 도메인을 낚아챈건가
http://textcube[.]org
荻窪散歩
Industar-61 50mm F2.8
普通によく写ってボケも柔らかいね
☆ボケ遊びだけにはもったいない
小池百合子は早くなんとかしろ
明日16日も東海・関東・東北など花粉が大量飛散 3月下旬からヒノキ花粉がピークに（tenki.jp） - Yahoo!ニュース https://news.yahoo.co.jp/articles/90d245f8bf965f0ef86dd50e968c502b59ed697b
Mein persönlicher Highlight ist, wenn Leute empfehlen, statt Lösungen von der Politik zu fordern, sich doch selbst um die Energiewende zu kümmern, in dem mensch das Häuschen besser dämmt, auf Wärmepumpe umstellt, Solaranlage drauf tut...
53% der deutschen Bevölkerung lebt zur Miete.
Leichter Widerspruch, ne? Aber über den eigenen Tellerrand zu denken wäre ja zu viel erwartet.
생일에 가보려고 조사했던 곳 중에 비건두부식당이 있는데 스라 플로우가 두부라서 생각났다 한번 가보고싶다... [네이버지도] 바이두부 서울 용산구 소월로20길 10 바이두부 naver.me/GUDSH0rR
BOOBS
荻窪散歩
Industar-61 50mm F2.8
普通によく写ってボケも柔らかいね
☆ボケ遊びだけにはもったいない
One hundred #curl graphs
https://daniel.haxx.se/blog/2026/03/15/one-hundred-curl-graphs/
The Appalling Stupidity of Spotify's AI DJ
Link: https://www.charlespetzold.com/blog/2026/02/The-Appalling-Stupidity-of-Spotifys-AI-DJ.html
Discussion: https://news.ycombinator.com/item?id=47385272
【BUILT-IN PRO 電器專門店特約】社交平台X用戶Samuel McCrae近日分享一段惡作劇經歷，引起網民熱議。他稱因一直懷疑妹妹養金魚只是一時興起，於是趁對方不留意時，悄悄將魚缸內兩條金魚撈走，再放入兩條顏色及外形相近的紅蘿蔔條，測試妹妹是否真的有用心照顧寵物。
Samuel表示，紅蘿蔔放進魚缸後雖然顏色與金魚相似，但畢竟不會游動，只能一直沉在缸底。他原以為妹妹很快便會發現異樣，沒想到過了3天，對方仍毫無察覺，照常生活。
事件曝光後，不少網民要求Samuel交代後續。他其後再更新近況，指到第4天時，妹妹依然未發現魚缸內的「金魚」其實只是兩條沉底紅蘿蔔，表現自然得令人意外。
帖文隨即引來大批網民討論。有人認為兄妹互動荒謬又好笑，但亦有不少人批評妹妹對寵物過於疏忽，質疑她根本無心照顧金魚。有網民直言，連續數天都未察覺魚隻毫無動靜，反映她並不適合養寵物；亦有人關注原有兩條金魚的情況，擔心牠們被當成惡作劇工具。
面對外界批評，Samuel其後上載照片回應，表示兩條金魚目前安全無恙，並已為牠們換上更大的魚缸，提供較以往更寬敞的生活環境，希望平息外界質疑。
I'm Indian but my tummy is Italian.
I happened to have access to an M4 MacBook Air, so I tried out building the Swift compiler. It took ~ 1.5 hours, which is a full hour faster than my M1 Pro 🥲
We're awakening ☀️
[새 포럼 게시물] Axon이란 걸 만들고 있습니다 #Ubuntu #UbuntuKR #우분투 https://discourse.ubuntu-kr.org/t/axon/50478
cat salad 
@catsaladCat 🐈🥗 (D.Burch) 
세븐도 수제 콜라가
가바성분이 스트레스 낮춰주고 피로회복시켜준다고
진짠가
OSS 숙제 했다... 내가 저장소 소유자니까 이슈 해결 해야지... 손안가게 전부 자동화 해서 관리하겠다고 하다보니까 오히려 더 손가는 것 같기도 한데...
의지 부족을 채우기 위해서 클로드 코드를 구독하고 있는데, 하지만 작업을 시작한다 라는 최소한의 의지 요구사항은 여전히 필요하다
Software Engineer's Never-Ending Backlog란 레포를 만들었다. 이름은 AI 벤치마크 [Humanity's Last Exam의 패러디이다. 자꾸 입개발만 하고 실제로 문제를 해결하는데 노력을 안하게 되어서 스스로에게 동기부여를 하고자 만들었다.
Goldcrest (Regulus regulus, 🇩🇪 Wintergoldhähnchen, 🇵🇱mysikrólik).
#birds #birdphotography #birdsofmastodon #birdsofprey #eagle #birdwatching #nature #naturephotography #vogelflausch #ptaki
SBCL Fibers – Lightweight Cooperative Threads
Link: https://atgreen.github.io/repl-yell/posts/sbcl-fibers/
Discussion: https://news.ycombinator.com/item?id=47382398
생애 첫 패럴림픽 출전. 게다가 무려 6개 종목에 출전했습니다. 하지만 대회 내내 미소를 잃지 않았다. ‘스마일리’ 김윤지(20·BDH파라스)는 끝까지 힘차게 질주했고, 기어이 한국 스포츠 사상 최다인 단일 대회 메달 5개의 대기록을 세웠습니다.
김윤지, 또 금메달 따냈다…단일 대회 최다 5개 메달 ...
40.85kgになってた
おふろでごぼぼぼぼぼ
This boi is beautiful, and he knows it 
#Fariña #catsofmastodon #allcatsarebeautiful
#silentsunday ist watching you 👁👁
たなげの何とかばうむはまた夜に行ってみよう……
Kdo dneska moderuje?
🚨 BREAKING :Israeli army’s killed child Ahmad Ayash along with his father Kamel Ayash and his mother Halima Ayash, who was pregnant with twins, after bombing their home in Al-Sawarha, west of Nuseirat in central Gaza while they were asleep.
Several of Ahmad’s siblings were left critically injured in the attack.
かつめし
んえ
やっぱり30mmくらいライズするとケラレるな...もっと大きなイメージサークルが欲しくなる...
Dave Pitt
ぺこん
Dolmengi
洪 民憙 (Hong Minhee)
earthling
