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All names are Asian and mostly Chinese

Author Bohan Zhang

Acknowledgements Special thanks to Jon Lee, Sicheng Liu, Chaomin Yu, and Chenglong Hao, who contributed to this post, and to the entire team that helped scale PostgreSQL. We’d also like to thank the Azure PostgreSQL team for their strong partnership.

People often underestimate how much impact the education of certain aspect (Infrastructure in China and Democracy in Westerner countries) has made to their values to a government, and meanwhile the education is controlled by the government to certain degree.

I don't really think it will choke the supply, but only reduce in capacity in short term, for example TSMC Arizona[1] took 4 years to be in produciton. Intel's process is still acceptable and better than China.

Also semiconductor is very complicated manufacturing process not only invovles Taiwan but vendors all over the world, like the light source of EUV is provided by Cymer based in U.S. I don't think China taking over Taiwan would mean they can transfer whatever is there into something productive in any short time as because of supply chain problem. Note that many SMIC's (basically China's TSMC) leadership are actually from TSMC already[2].

[1]https://www.tsmc.com/static/abouttsmcaz/index.htm [2]https://en.wikipedia.org/wiki/Liang_Mong_Song

China's territorial claims over Taiwan starts from 1949 since the civil war ends. [1]

The semiconductor doesn't play significant factor here. It only becomes hot topics in past few years because of TSMC's lead on its process, but really doesn't have any direct relationships.

In other words, current situation is a result of U.S. "Asia-Pacific Rebalance" strategy and military deployment over the first island chain [2] that China wanted the island regardless of TSMC.

[1]https://en.wikipedia.org/wiki/Chinese_Civil_War

[2]https://en.wikipedia.org/wiki/First_island_chain

If I have to be precise with my natural languages sure, more closed on certain dimensions

Recent years efforts from these politicians make me believe we are heading towards the direction that one day it's not just certain dimensions but fully isolated.

Name one Chinese EV you can buy in U.S.

Name one U.S. EV you can buy in China

Now we want to do the same efforts for llm, not even allow to download to run locally that is specifically from China, and running llm doesn't even need Internet.

Honestly I've never heard such legislation in any other country, not even north korea or iran.

I can understand ban export, but banning import? Seriously? Even Kim Jong Un is riding with Mercedes.

Thinking from a different perspective, if the Chinese government has banned import of NVIDIA GPU, or downloading U.S. made llm because of so called national security reasons, DeepSeek certainly won't make such progress.

Today we are even more closed than CCP, what a joke. These elites'/attorney politicians just can't stop their arrogant attitude towards a non-western country's achievement. This is just going to destroy the industry at U.S.

We have seen examples of EV and Drones already.

Everytime when there is some achievement made by Chinese companies, there are always comments like "what about tiananmen square", "I won't trust companies under CCP supervision", "must be fake propaganda", and then being ignorant to the achievement and biased against the not-us-made models, and not focusing on the actual technical part of the achievement itself, like how they can make training so fast and what can we learn from it. Beyond that some US startup CEO even starts spreading rumors like they have 50000 H100 while the paper and model are open sourced since older versions of deepseek that everyone can reproduce and verify it, the theoretical compute need is calculable from model architect.

Sure sure that censorship is a problem, but that's a political background everyone knows, while none of the researchers of deepseek can do much about it, and literally do people think Chinese people like to put more efforts to censor LLM output?

Associate researchers with CCP without any evidence and being ignorant to their achievement is really insulting to deepseek researchers' hardworks.

1. Legal assistant (free) is mandatory for every single registered lawyer in China that they have to finish a certain quota every year.

2. Judges in China tend to ask plantiff to negotiate with defendant instead of going through a whole lawsuit process for civil cases.

Meanwhile the author also says this

Rust would have prevented this incident irks me.

That's exactly everyone's point.

and

Think of… an innocent buggy unwrap() call if the code actually used Rust.

Sure but would you not just ban usages of unwrap with static lint for a kernel program?

This is more or less like clickbait to me.

The fact that we need a such complicated datetime library just means so many unncessary artificial complexities were introduced before (yes the daylight saving, leap seconds etc.)

I am sure if TikTok is owned by a western countries wouldn't yield into a result of lawmakers creating laws that is doing something very similar as CCP does, that is, operating Internet based service requires the company to be owned by a Chinese entity at majority, that is exactly the reason why Google quits China, and we used to dispise what CCP does, now we are like "CCP is doing the good stuff and we should follow"

That isn’t remotely true. They're not banned outright. Things like iCloud and Bing still work in China because Microsoft and Apple are willing to register a company that is owned by a Chinese owned majority and accepts audit, there is a legal fundamental for that in China's law for this. Now we are just doing exactly the same at US.

"However, reports and allegations regarding the treatment of Uyghur Muslims and other ethnic minorities in the region have led to calls for more transparency and ethical considerations in the supply chain."

as usual

This act means 1. all foreign workes with H1B visa will potentially be restricted from working at US on AI or AI infrastructure. 2. AI models and weights will be restricted from open source

this is quite the difference I saw among different ML Engineers during my work.. most can only do python (more or less like a frameworker) and some amazing ones can go all the way down to the CUDA to squeeze out the performance.