
Asia Bureau Chief @theinformation. First Vice-President @FCCHK. Alum of @WSJ @business @scmpnews @lloydslist Honorary Lecturer @jmschku. Signal: jingyanghk.70
Hong Kong
Joined August 2011
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Scoop: we obtained DeepSeek's cap table and ran an analysis of the types of investors backing the company, which has raised a total of RMB156.5B (~$23B) in two rounds across four months. with @JuroOsawa via @theinformation
here's what we found out 👇theinformation.com/articles/…
Tech firms footed the biggest bill, followed by VC firms, SOEs and Liang himself.
Among tech firms that invested in the 2nd round are CXMT and SMIC, but a few others that stood out to us are: Vivo, Meituan, Luxshare, Geely, Ctrip and Xiaohongshu.
The National AI Fund 国智投 backed the 2nd round again with a RMB 1B check. But the round also include other state-backed investors including: China Mobile, China Telecom, CICC, Citiic Securities, and China Life. Here's the top five investors after both rounds👇
Jing Yang retweeted
In praise of distillation. We (@kuhhbin) argue in @TheEconomist this week against efforts to ban Chinese models trained in part on American ones.
OpenAI and Anthropic may dislike distillation, but:
— Price competition is good for the ecosystem
— Paradoxically, distillation may be good for national security, both in propagating US developers' safeguards on cyber/bio risk to Chinese models, and in keeping China in fast-follower mode
— The US developers' own IP claims here are pretty flimsy, since distillation isn't all that different to the 'fair use' defense they're using for the training data they hoover up.
economist.com/leaders/2026/1…
SCOOP: Both Moonshot and DeepSeek distilled #OpenAI's Astra when developing their latest models (Kimi K3.1 & V4.1-Flash 1017), after Anthropic intensified the crackdown on distillation recently. w/ @JuroOsawa @QianerLiu via @theinformation theinformation.com/articles/…
Claude used to be the go-to targets for Chinese labs' distillation, but that has become almost impossible in the past couple months.
A good time to recyle our token economy story:
Some token resellers hold out hope that Anthropic’s crackdown won’t be so far-reaching that it puts them out of business, if only because wiping them out would deprive it of a meaningful revenue source. “I have customers that can consume $10 million worth of Claude Code Max accounts a month,” the Shanghai token reseller said. “That’s more than $100 million a year.”
theinformation.com/articles/…
Anthropic s-1 estimates that customers later found to violate its terms generated 5%–7% of revenue in the first nine months of 2026. The filing does not identify that entire amount as Chinese or distillation-related revenue, but that is likely the upper bound of how much revenue the adversarial distillation generated
时间线上多了很多外国朋友来深圳旅行的内容,然后自然而然地把中国和美国比较。有感而发,分享一下。
在我刚创业(24 年 10 月份、24 年底)的时候,the information 的记者@jingyanghk 联系过我,我们聊了很久。当时 Jing 问我:“你介意在后面的披露里呈现你们是中国团队吗?”我的回答是:“当然不介意,我们就是一个中国团队,而且我们就在深圳。”
所以这句话成为了当时 the Information 报道的开篇。
这件事情当时其实有一些争议,后面也有朋友来找我,认为这样会影响拿美国 VC 的钱。但其实我认为这不是关键,一个中国团队没有必要伪装成一个美国团队(你也伪装不了)。至少在我的创业过程里, 我们和a16z、benchmark都有过交流。
更关键的是,我们有自己的文化、偏好,以及对商业和科技的理解方式,当然也有我们自己说英文时的口音。我们非常期待和更多人交流、互动,以一种更友善的方式去讨论问题,这是一种内在的善意。
当然坦白地说,我觉得这种善意不是凭空而来的。中国文化里有非常漫长、充满血腥和战争的历史。如果了解中国文化,你看过春秋战国、三国争霸这些时期发生的事情,你会震撼于中国是一个如此“尚武”的国家。
但经历了几千年的分分合合,我认为中国人在某种程度上认清了一件事:以一种更友善、利他的方式去发展、做大蛋糕,长期来看是对这个民族最优的解法。
这就是为什么今天很多外国朋友来到中国,会觉得中国人比较友善。这可能确实是刻在文化里、在过去的教育体系里塑造出来的。
同时,我也会看到一些对中国的贬低和污蔑。我觉得每个人的背景不一样,尊重别人说话的权利。但无论如何,希望大家可以来看看、走一走,你一定会有不一样的认知。
当然,如果你路过深圳的话,欢迎跟我联系。我可以带你了解这里的生活习惯和创业文化(前提是我有空 lol)。
"The pace, and the expectations that came with it, felt almost as jarring [in China] compared with America as America's pace does compared with Europe. Everyone was just on it, all the time." world.hey.com/dhh/seven-year…
Jing Yang retweeted
Replying to @jingyanghk
I was Elizabeth Holmes' Chief Creative Officer for many years. Here's my take: linkedin.com/pulse/we-sold-t…
Almost all the showings in SF today are full house. Feels like half of the town was out seeing it. Many, many laughters throughout in the theater (and some wows and audible gasps), even though it’s not a comedy. That should tell you something…
So glad I spent my last night in #sanfrancisco seeing this movie. One of the best, wildest movies I’ve ever seen and I count myself as bit of a movie buff. Don’t want to spoil anything for anyone who hasn’t seen it, except that you really CAN see everything. #YouCanSeeEverything
So glad I spent my last night in #sanfrancisco seeing this movie. One of the best, wildest movies I’ve ever seen and I count myself as bit of a movie buff. Don’t want to spoil anything for anyone who hasn’t seen it, except that you really CAN see everything. #YouCanSeeEverything
Jing Yang retweeted
This is a BIG deal for AI in China and potentially worldwide, but open models can still flow for now.
PSA: I have read the full Q&A and control list (checking Chinese original next to Claude translation, and using Claude to help understand the implication of the key technical thresholds for control. )
My thoughts:
1) Any Chinese model *not already out yet* we will care about is on the restricted list that requires permission to export--including releasing model weights. Any model already open weighted is not included. Restriction covers any model in top 10 globally in use, general performance, specific task performance, safety performance or training efficiency.
This regime is in place already, though it is not final and may adjust substantially.
Another set of criteria focused on cyber would capture anything at or above glm5.3 (there are many thresholds but one is strong performance on cyber benchmarks, another covers vulnerability discovery, etc). Agents are also covered, and this probably would hit anything like Kimi agent swarm scale (60+ agents).
Some of the thresholds are based on future capabilities, but any new model as good as existing Chinese models would be under this new regime.
2) these are restricted (as are models trained on "important data"), while models trained on Chinese “core data” are blocked from export. Core and important data are very very messy and dynamic categories depending on sector so prob Chinese labs will not easily be able to figure this out (though there is a strict multi-part de minimis for important data that some will use). "Data related to national security, the lifelines of the national economy, important aspects of people’s livelihoods, major public interests, etc., constitute core national data"
3) the single most important line is in the MOFCOM Q&A saying there will be automatic approval for future open models, as @ZilanQian has pointed out. The question is then what conditions apply to get that (eg even if gov doesn’t review application for case by case approvals pre-release, do they need safeguards? what reporting is required to qualify for automatic approval? what ongoing oversight?
The rules give us nothing to go off on this--surely this part will be core to the comments they receive from industry as they tweak the system.
4) either way 3 shakes out, they now have the system in place to throttle future release of open models if they choose: CN gov can turn this into a hurdle by removing automatic approval.
5) Also potential implications for the main way people globally access CN models today--through US cloud services. The Q&A implies Chinese labs sharing model weights with US cloud companies to serve the models on data centers outside China will also need gov approval (but serving foreign users through CN labs' API, or serving from a CN company's own data centers outside China are not).
Stop translating token中转站 as 'transfer station,' which sounds like a warehouse depot where tokens are moved physically! I know where the translation first started and it sounds like a lame AI translation. If you understand how it works, you'd know how misleading it sounds.
Replying to @jingyanghk
The grey token economy, or token中转站, is one of the most lucrative businesses in China in the past 18 months. While some have translated it as "transfer station," I believe the more fitting (and non-Chinglish) term should be token resellers, cuz that's what they do.
h/t @claudiackm
Chinese customers could also just be more familiar with Chinese hardware. But I wouldn’t rule this out either.
The Information: theinformation.com/newslette…
“Jensen’s consigliere” and how Nvidia now runs much more like a family business than people realize, great story by @_pheebini via @theinformation
theinformation.com/articles/…
感谢 Anthropic 认可😋今天就看到 GLM-5.3 的无审查版本开源了
一直听说 GLM 5.3 网络安全能力很强,Anthropic 一篇报告让大家更了解了,感觉纯是在夸
huggingface.co/Infatoshi/GLM…





















