Chinese labs release weights because openness is their competitive strategy against closed frontier labs.
Watched: 3 source(s) hold a position on this claim, fewer than the four that make it rankable. The disagreement is recorded; the evidence behind it is still thin.
3 source(s) assert this claim, 0 deny it.
Who asserts it
- China, Open Source & AI Competitiveness | Andrew Ng
andrew-ng-open-source-ai-competitiveness-2026-07-29 - DeepSeek's Liang Wenfeng Breaks His Silence
liang-wenfeng-transcript - Zhang Peng: Zhipu AI IPO and the Road to AGI — Zhang Xiaojun Interview Full Transcript
zhang-peng-zhipu-ipo-interview-2026-01-07
8:32 When ChatGPT was first released a few years ago, America was decisively ahead of China in generative AI technology. Since then, China has played its hand really well. One of the things that China did really well was embrace open models because it turns out that when you release models freely for anyone to use, it helps the whole world. Yes, but it helps you even more than it helps the whole world.
那 当时 我们刚刚 刚才 讲 那个 呃 22 年 那个 g m 1 30 b 开 源 的时候 其实 就 说过 这个事情 其实 还是 呃 希望 打开 市场 有 更大的 这个 市场的 影响力 然后 也知道 中国的 企业 啊 团队 也能 做出 世界 级 顶尖 的 这个事情 来 再 到 后来 呢就 确实是 整个 市场 他的 整个 的趋势 他 就是这样 了然后
Then on the matter of open source, we thought it through very clearly from the start. First, the first reason is vision; second, we believe that to succeed commercially with AI, open source has benefits.
Who denies it
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