Furthermore, within China, alternative conspiracy theories claiming that the virus came from the US were allowed to circulate. A significant number of people in China actually believe that theory.

These combinations are questionable and very easy to filter, probably with Luna/Haiku tier of models that are able to tell things might get fishy here, and it would likely escalate to heavier checks and trigger KYC or straight banning.

Those are only my guess and probably aren't how the system works, but I think these rules are fairly easy to come up with for developers who have any idea of anti-abuse. I've seen too many Chinese posts mourning their accounts and communicating that their setups there would be similar mechanisms, I would say.

In previous months, there was news that Claude Code uploading a special signal for the Chinese timezone is pretty evident. I probably got away from having serious insomnia, using PST on my computers, and exclusively speaking English with those models lol.

Especially for Claude because Anthropic is very good at identifying mainland Chinese and getting them banned in hours. There are many of them who are willing to pay more than the original rate for a stable experience.

It's very hard for them because they'll need a legit phone number and bank cards that are not issued in China, and a clean enough IP, etc. and those better match together to make sense. (Back in the day, ChatGPT required resident IPs, which made it worse, but they worry about growth more now). Obviously, they have to use a VPN to access the real Internet, and most of the IPs they can find are shared with bots and abusers.

It's an art to come up with a great test suite that covers just enough and minimizes overlap, not only survives but also helps with refactoring.

It's essentially punishing players for playing well, and often could be gamed by playing badly intentionally.

Theoretically and conceptually I agree. But in practice there are a lot of programming languages aren’t as expressive. People prefer codebases with duplications rather than visitor patterns everywhere. In essence, visitor pattern is a tool to solve multi-dimensional abstraction problems, just like type classes in Haskell or CLOS in Common Lisp. But it’s so verbose and non-straightforward so more often than not it’s not worth it even conceptually it’s a legit case for “single source of truth”.

The current implementation isn't command-line, but a re-implemented GUI in disguise, awkward and even more buggy. Why should I use that over a GUI? I would prefer Electron over those TUI unless I have to SSH.

A great QA can understand the features of a product quickly, turn those concepts into some sort of grid or matrix in their mind, then pull a bunch of paths and scenarios with estimated priorities and probabilities at a fast and efficient pace, all with great coverage. They can also identify features contradicting each other more quickly than product people.

I think a good QA is capable of being a great vibe coder nowadays, too. If you can write great test suites (write names only), agents nowadays are able to turn those specs into decent codebases. Comparatively, I know a lot of decent dev having not very good taste in testing, who often write overlapping tests or missing important paths.

Source: trust me bro

However, when I tried out the SuperPower skill and had multiple agents working on several projects at the same time, it did hit the 5-hour usage limit. But SuperPower hasn't been very useful for me and wastes a lot of tokens. When you want to trade longer running time for high token consumption, you only get a marginal increase in performance.

So people, if you are finding yourself using up tokens too quickly, you probably want to check your skills or MCPs etc.

[0] https://openai.com/index/our-approach-to-advertising-and-exp...

Probably because it's a legacy and disappearing slowly? Modern Mandarin only has four tones left and has already lost tone patterns.

Do you know there's a "robot tone" in Chinese? It's simply swap every character to the flat or the first tone. Though it's under the stereotypical false assumption that robots have troubles with tones, kids in the late last century often communicated in that tone for fun without issues.

At the end of the day, vocal Chinese is always ambiguous with or without tones and in practice heavily relies on context. It requires written language to truly fix that.

Even though OpenAI has a lot of cash to burn, they're not in a good position now and getting butchered by Anthropic and possibly Gemini later.

If any major player in this AI field has the power to do it's probably Google. But again, they've done the Flutter part, and the result is somewhat mixed.

At the end of the day, it's only HN people and a fraction of Redditors who care. Electron is tolerated by the silent majority. Nice native or local-first alternatives are often separate, niche value propositions when developers can squeeze themselves in over-saturated markets. There's a long way before the AI stuff loses novelty and becomes saturated.

On MacOS is much better. But most of the team either ended up with locked in Mac-only or go cross platform with Electron.

Even for non-Mandarin/Guanhua, such as the Shanxi dialect, I can understand them because the pronunciation is much closer to mine, just the tones are completely novel.

Though, as a guy who speaks perfect mandarin from Beijing, I’m struggle even to pass the easy ones… So it can definitely used some improvements. The example 你好吃饭了吗 returns hào → hǎo, fān → fàn, le → liǎo. The first two are the model listen my tone mistakenly, and the last one should be le instead of liǎo in this context.

Also I see in the comment section people are worry about tones. I can guarantee tones are not particularly useful and you can communicate with native speakers with all the tones messed up and that’s perfectly fine. Because as soon as you leave Beijing, you’ll find all the tones are shuffled because of every region has their own dialect and accents, which doesn’t stop people from communicate at all. So don’t let tone stuff slow your learning process down.