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China produced foundational technologies (paper, compass, printing, gunpowder etc) long before the US existed, the US later built on global inventions too. Same here, LLM progress is cumulative and international, today's leaders won't be tomorrow's by default.

All frontier US models are closed weight. It's great what Chinese are doing because open weights help everyone. Also there is a lot of research thanks to these open weights, look how much research is being done using Qwen models in US (Microsoft etc) and in the rest of the world.





china has produced very little real innovation

Multi-head Latent Attention (MLA) + DeepSeekMoE? plus an auxiliary loss free load balancing strategy and multi token prediction objective to train/infer huge MoE models efficiently.

Have you seen Manifold Constrained Hyper Connections (mHC) paper from a few days ago from Deepseek? Projects residual connection space onto a constrained manifold to keep identity mapping properties while enabling richer internal connectivity, so basically it eliminates a huge problem.

They also released A LOT of training tricks and innovation around optimizing inference and training.

As to other industries:

"China leads research in 90% of crucial technologies — a dramatic shift this century" [1]

And here's[2] "China Is Rapidly Becoming a Leading Innovator in Advanced Industries", a big report on where they lead and how.

1. https://www.nature.com/articles/d41586-025-04048-7

2. https://itif.org/publications/2024/09/16/china-is-rapidly-be...




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