@shitunote: Andrew Ng: I might be the only person in the world who has had both Sam and Dario work under me. “One thing I absolutely wouldn’t have guessed a few years ago is that China would eventually become much more open than the US in terms of AI innovation. I know the US AI ecosystem very well because I founded Google Brain, etc. I might be the only person in the world who has had both Sam and Dario work under me. So I am very familiar with their teams. When ChatGPT was released in late 2022, the US was far ahead of China. But since then, China has played its cards well—betting on open source and open-weight ecosystems. Chinese teams do research and publish their research papers for free on the internet, accessible to anyone. By the way, many top US teams extensively read Chinese research papers, learn from them, and benefit. Frankly, many technologies used by top US teams now come from research innovations learned from China. So I think knowledge sharing is a two-way street.”
Summary
Andrew Ng shares personal experience, noting that Sam Altman and Dario Amodei once worked under him, and comments that China is more open than the US in AI innovation, making progress through open source and open-weight ecosystems. Knowledge exchange between China and the US has become bidirectional.
View Cached Full Text
Cached at: 07/22/26, 10:36 PM
Andrew Ng: Perhaps I’m the only person in the world where both Sam and Dario have worked under me
“One thing I definitely wouldn’t have guessed a few years ago is that China would end up being much more open than the US in terms of AI innovation methods.
I know the US AI ecosystem very well because I founded Google Brain, among other things. Perhaps I’m the only person in the world where both Sam and Dario have worked under me. So I’m very familiar with their teams.
When ChatGPT was released in late 2022, the US was far ahead of China. But since then, China has played its cards well—betting on open source and open weight ecosystems. Chinese teams conduct research and freely publish their research papers on the internet for anyone to read.
By the way, many top US teams read a lot of Chinese research papers, learning and benefiting from them. Frankly speaking, many of the techniques now used by top US teams come from research innovations learned from China. So I believe knowledge sharing is a two-way street.“
Similar Articles
@vivilinsv: A serial entrepreneur I particularly like and admire, @quxiaoyin Xiaoyin, has been on fire on X recently. She made a very sharp judgment: Chinese open-source models will continue to gain market share, and may even become one of the "worst-case scenarios" for the US AI ecosystem—if Chinese models not only occupy the model layer...
Discusses how Chinese open-source models could become a threat to the US AI ecosystem, and the future competitive landscape between open-source and closed-source models, sparking widespread discussion in the AI community.
@dongxi_nlp: A very valuable article, the last 6 takeaways are worth pondering. Among them, the last two: 5. The data industry is far from developed. Anthropic and OpenAI spend over $10 million on a single environment, while Chinese AI labs have a 'build rather than buy' mentality. 6. Countless...
The article summarizes the current state of the AI data industry, pointing out that the data industry is not yet mature. Anthropic and OpenAI spend over $10 million on a single environment, while Chinese AI labs tend to build rather than buy. In addition, many labs have access to Huawei chips but still crave more Nvidia chips.
@heyshrutimishra: Yann LeCun just said something at Davos that nobody is talking about. The man who built Meta's AI for 12 years. The god…
Yann LeCun stated at Davos that China currently leads in producing open-source AI models used by the global research community, warning that the West's shift toward closed models is slowing down progress.
@ruanyf: Anthropic founder's recent remarks: AI open source is a false proposition. He says that even if an AI model is made public, you can't see its internal workings, so the industry doesn't call it 'open source' but 'open weights'. It's not the traditional open source model either; only the weight files are released, and you can't see the model's inner workings, and you can't submit modifications or participate in its…
Anthropic founder Dario Amodei believes that AI open source is a false proposition because only the weights are released, not the source code, so users cannot participate in modifications. Blogger Ruan Yifeng criticizes this view as biased, pointing out that open source models still have advantages in privacy and controllability, while also accusing Anthropic of discriminatory account bans against Chinese users.
@GoSailGlobal: Nathan Lambert visited all of China's top AI labs — Moonshot, Zhipu, Meituan, Xiaomi, Qwen / Ant Ling, http://01.AI — and wrote a piece titled Notes from inside Chi…
Nathan Lambert shares observations from visiting top Chinese AI labs, highlighting cultural differences in research focus and ego compared to US counterparts, while noting parity in hardware and model capabilities.