원신 등의 중국게임에서 캐릭터 대사를 가운데 정렬하는 이유 중 하나.
어지간한 대사는 중국어로는 한 줄로 출력 가능하기 때문에 개행이 일어나지 않아서 왼쪽 정렬이 아니어도 가독성에 영향을 주지 않기 때문.
그리고 중국어로도 두 줄 이상 넘어가는 대사를 다른 언어로 보면..
Zuck’s entire playbook is letting startups spend billions validating a market, then cloning the winner with unlimited distribution once the risk is gone.
The Trump administration is pressuring META to agree to submit its models to the government for voluntary review. META is now the only holdout, as OpenAI, Anthropic, Google, xAI and Microsoft have all agreed to these terms. Reporting by the NYT.
News: Meta is currently building a prediction markets app to rival Polymarket and Kalshi, according to sources
the app, currently called "Arena," will be a standalone offering and was ordered up by Mark Zuckerberg
w/ @yaffebellany
https://t.co/IobogS4xkV
- 의사나 소프트웨어 엔지니어 등 전문직 종사자들이 AI 도구에 의존하면서 본연의 업무 능력이 떨어지는 '탈숙련화(Deskilling)' 현상이 실제 확인되고 있음
- 내시경 전문의들을 대상으로 한 연구 결과, AI 보조 도구에 익숙해진 후 기계 없이 독자적으로 암 전단계 병변을 찾아내는 비율이 28.4%에서 22.4%로 크게 하락
- 연구진은 AI에 지속적으로 의존하면 의사결정 과정에서 집중력과 책임감이 저하된다고 지적하며, AI 시대에 인간의 핵심 기술을 보존할 대책 마련이 시급하다고 경고
원문 아래
Anthropic is rolling out identity verification for "certain capabilities."
The verification provider is Persona, a 3rd party backed by Peter Thiel.
There is absolutely no way that I continue using Claude if this happens.
I spent the last month in Korea and Japan.
If I were to describe Korea in a few words - "industrial capitalist perfection"
If I were to describe Japan in one word - "perfection"
Japan and Korea are both light years ahead of the U.S when it comes to modern, walkable, high trust cities. The U.S in many ways almost resembles a 3rd world country next to them. It's pretty obvious why they rarely immigrate to the U.S, especially the Japanese.
Although I love both countries, Japan is my favorite country in the world (full disclosure: I'm half-Japanese so obviously biased). The country and culture are just on another level. While Americans are lighting Waymos and school buses on fire, Japanese World Cup fans clean up after themselves at the stadium. While Americans rob and loot retail stores in broad daylight, Japanese have full self-service, and stand to the left on escalators. While Americans are resentful over their "low status" jobs and take out their bitterness on their customers, Japanese dedicate themselves with utmost professionalism and humility, always striving towards perfection. While Americans hide their car belongings in the trunk to avoid break-ins, Japanese leave their backpacks outside subway public bathrooms and bikes unlocked. While Americans who can't find a public bathroom are pissing in bushes and wiping their butts with toilet paper, Japan has clean public toilets everywhere and bidets. The level of respect and consideration of the Japanese is above any country on the planet.
Korea is incredible as well. Korean's planned apartment cities are perfectly designed, and Korea has the best modern cafes comfortable for working on the planet. I just don't like how homogenous, materialistic, and status-obsessed people are - not even in a useful or tasteful way, but in a classist comparing parents' wealth kind of way (note: as a foreigner this is not something i've personally experienced, but I know this because my wife is Korean).
The mass-produced and chain dominated nature of Korea makes it less interesting than Japan, where small individual run businesses dominate, the architecture is more varied rather than mass produced, and the old history and traditions are more visible.
One of my Japanese American coworkers who was laid off on 5/20 is going to just retire in Japan. Another Korean American coworker has visited Japan 11 times, and is planning to retire in Korea (for tax reasons) and visit Japan more. I get it.
Don't get me wrong, there are things I love about America that these countries don't have - more social people (eg. small talk), greater individualism, diversity and greater ease of integration, thriving entrepreneurship, more top companies, higher salaries.
But for people who love walkable, modern, aesthetic, safe, high trust cities with respectful people - Japan and Korea are light years ahead. I used to lament this and talk about these differences hoping the U.S would step its game up, but it's clear to me from this trip that this will not change within my lifetime.
Back in the U.S now, and just caught up with some ex-coworkers.
Everyone on my old team read my posts when they went viral. Of course nothing changed.
Some of the points were acknowledged. But instead of leads apologizing or pretending to address them (even for just one day), the impression I got is that the mentality was more "haha yea this is how we do things, and we run the show. What are you going to do about it?"
This can only change at the VP2 / C-suite level, or government level. Again, the entire leadership chain up to the VP level (IC6, IC7, IC8, M1, M2, D1, D2, VP) is dominated by people from one country. There is no incentive for beneficiaries or a system to reform it. Not much incentive for the C-suite to reform it either given that that would acknowledge a problem that they've already been sued by the government and settled over.
To be clear, 90% domination by people from one country does not in and of itself imply foul play (though at the least demands some sort of explanation when the qualified candidate pipeline isn't that lopsided). But my experience and that of almost everyone else I've talked to in a similar situation suggests that it's not an even playing field, the minority is disadvantaged, and the layoffs I witnessed almost exclusively targeted the minority. I had many people DM me saying they experienced the same.
The low IQ reductionist response is "omg so people speak their language at the office and eat lunch together, so what". Obviously the way this plays out is that higher priority projects and support go to the "clique", while the minority face constant uphill battles, and the same work is valued less. People love to talk about how it's just about "impact". But the reality is that even on ads teams where you can cite specific revenue metrics - the way people are valued is extremely subjective (eg. what is the perceived complexity) and political. In general the less legitimate work your team is doing - the more politics is involved, and the higher the backstabbing. And even if you're doing as well as anybody in your situation can reasonably do, stack ranking means that somebody has to die.
I've been wondering why the ethnic enclaves issue hasn't gotten more attention. Part of it is because there's so few Americans working in these ethnically dominated orgs in the first place so most are just unaware (to be clear, this problem is confined to certain orgs like ads and recommendations, not the whole company). Even if Americans were aware, I also wrote in a previous post that westerners are so afraid of sounding racist that they'd rather watch their own countries collapse than have an honest conversation about cultural differences and their ramifications. (part of the reason I'm the only one with the balls to talk about this publicly is because I'm Asian and my partner is from Asia, so I know firsthand how different the cultures are, though I'd never worked at a properly foreign dominated company prior to this and underestimated how foreign the culture was)
Another theory I have is that this was significantly less of an issue prior to 2024 when new hires were given 6 weeks to trial different teams before committing. Nobody in their right mind would commit to a team/org 90% dominated by another ethnicity speaking their own language at the office, so people could self-select out of these ethnic enclaves. In 2024, hiring was changed to require committing to a team before starting, and then in 2025 candidates were just auto-matched to teams.
If a CEO wants to stack rank, that's their prerogative - I think it fosters a toxic zero-sum culture and is counterproductive, but CEOs are free to run their companies however they want. Injustice however is morally reprehensible, and companies need to ensure that everyone is given equal opportunity and evaluated fairly. That's why countries like the U.S have anti-discrimination laws.
Of course nothing will change though. But hey at least they're improving the microkitchen snacks. I was pretty bummed when they removed the dried mango.
Most software engineers are facing an identity crisis bordering on depression.
As CTOs aggressively evangelize tokenmaxxing, a class divide ensues.
The lazy. The lazy push code. They don't write it. They don't manually test it. They don't even read it. They're on autopilot. See Jira ticket, prompt for task, submit code. Many of them are barely on their computer the whole day. A comment on the PR asking why they did this? The lazy ask AI. A Slack message? The lazy ask AI. Need to prepare for standup? The lazy ask AI. As long as it sounds enough like them and isn't detected. Some of the lazy are even overemployed, and work multiple jobs. The lazy smart ones get away with this, and even rewarded. After all, software engineering for the lazy is just a dance to convince your colleagues you're smart and hard working.
The craftsmen. The craftsmen are tired. Very tired. 15 PRs in queue. Slack blowing up. The entire burden of review falls on the craftsman. The burden of understanding. They try. They work their way through the code, thoughtfully commenting to improve what ships. The response? A lazy: "That's a clever idea! You're absolutely right." with an incorrect change. It's fine, the craftsman says. I can fix them. They write a doc urging his colleagues to be better. The next day? 20,000 line PR to review. Day after day, their workload grows. Bugs seep into production. No one seems to care. Another round of AI is thrown at it. Their animosity to their colleagues rises. Eventually, they give up. It's just not what it used to be. The craft they loved is dead. They eventually wake up, a lazy.
This isn't all companies. Many companies are genuinely more productive, adopt the right set of principles and practices around AI development and have highly talented teams that trust each other. It tends to happen in bigger companies that are 10+yrs old with a higher talent variance. But it happens. A lot.
🚨 SCOOP: After the release of Fable 5 and with GPT-5.6 looming, the mood behind the scenes at Google DeepMind is increasingly one of frustration and broad discontent over the lab's perceived fall into a distant third—or even fourth—place.
"I can't blame Noam [Shazeer] for walking. He won't be the last big name to go, either," a well-connected DeepMind employee told me.
DeepMind's last major model release, 3.5 Flash, was a significant jump over its predecessor; however, it was not meaningfully better in most cases than 3.1 Pro, released back in February. In real-world use, it remains several steps behind the frontier. That was four months ago, and Google's best model now sits in a lowly fifth place on the Artificial Analysis Intelligence Index—lapped by models from Anthropic, OpenAI, and now China's Zhipu AI. Other releases have proven similarly disheartening: the small video generation model Gemini Omni Flash launched to little fanfare and was easily beaten by ByteDance's Seedance 2.
Gemini 3.5 Pro, slated to launch June 30th, is "not the step change we need to be truly competitive in the race [to AGI]," per another individual at the company. The consensus seems to be that leadership at Google has all but conceded that race to Anthropic and OpenAI, and that "only a big shake-up" will propel them back to the highs of mid-to-late 2025.
But employees are not hopeful: "We no longer have a frontier model in text, image, video, voice, or even vision... if we can't release a real frontier model after over four months of work with all of these resources, what are we doing?"
A bit of news: After nearly 9 years, I have decided to leave Google DeepMind and join Anthropic (after taking some time to recharge). I am incredibly grateful for my time at GDM. @demishassabis took a real chance letting me lead the AlphaFold team just six months after finishing my PhD, and the entire GDM team taught me so much about how to do great science. GDM is a special place, and I’ll still be excited to hear about what amazing things they discover next.
양영순의 <덴마>에서 사람들이 큰 사건이 일어나거나 음모를 논의할 때 각각 자신만의 계산기를 두드리면서 각자의 잇속을 계산하는 부분이 요즘 종종 생각남. 사람들은 이제 AI에 각자의 배경을 맥락으로 지정해 두고 큰 뉴스가 터질 때마다 이렇게 계산기를 돌리고 있지 않을까.