Chinese technology companies are rapidly advancing in artificial intelligence (AI), closing the gap with their U.S. counterparts despite facing restrictions on advanced chip access. Chinese firms such as Huawei, ByteDance, Alibaba, Baidu, and Tencent are developing competitive machine learning models, with some reports indicating that Tencent’s MoE model matches Meta’s Llama 3.1 while utilizing fewer resources. The Chinese model DeepSeek v3 has demonstrated impressive capabilities, requiring only 2.788 million H800 GPU hours for its full training. Analysts suggest that the U.S. export controls on chips may not be achieving their intended effects, as Chinese companies innovate under resource constraints, leading to breakthroughs in AI development. This shift indicates a growing competitiveness in the global AI landscape, with Chinese firms leveraging open-source models and creative training methods to enhance their technological prowess.
As I expected the embargo is making China more competitive, as Chinese companies have found ways to train sophisticated models with fewer resources. The embargo that restricts access to high-end GPUs like #Nvidia's #A100 and #H100, pushed Chinese companies to innovate,… https://t.co/XIAGANlRrR
chinese open source ai hitting hard https://t.co/ek2PUMe99Q
Exactly. American models will need to out compete Chinese open source models in terms of utility and vitality. OS LLMs are secretly Trojan horses for cultural export. I don't see many people talking about this. https://t.co/bkemFXmny7