South China Morning Post
6 storiesThe South China Morning Post is a Hong Kong-based English-language news outlet covering business, technology and politics in China and Asia. Its recent AI coverage has centered on US-China tech competition: a report saying China's AI compute capacity is set to double while still relying on US chips, Nvidia's claim that AGI has arrived and how Chinese labs are responding, Chinese AI firms avoiding a US delegation over sanctions fears, and rising AI safety concerns before the Xi-Trump summit.
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According to the South China Morning Post, a chip industry expert called for China and the US to adopt a shared rule book for AI models, aiming to align governance across the two countries. The report provided no further details.
A report says China's AI compute capacity is expected to double, yet its expansion still leans heavily on US chips, highlighting a persistent gap in domestic alternatives. This reliance undercuts supply-chain autonomy and raises exposure to export controls.
Beijing launched the Yau Mathematical Sciences and Artificial Intelligence Laboratory Alliance, led by Fields Medalist Shing-Tung Yau and uniting eight institutions with over 1,000 expected researchers to build specialized math AI models, generate hypotheses and formalize proofs. Yau said China lags the US in AI for scientific research, where American firms have recruited thousands of scientists and drawn major industrial investment.
South China Morning Post covers Nvidia's claim that AGI has arrived and examines how China's top AI labs are responding with R&D and deployment strategies to close the gap. The article focuses on the technological race and pathways to catch up.
South China Morning Post, citing a commission, says several Chinese AI firms avoided engaging with a US delegation due to fears of US sanctions, reflecting how geopolitical and regulatory risks affect companies' external interactions.
The South China Morning Post reports that AI safety concerns are spiking ahead of the Xi–Trump summit, highlighting heightened public and policy anxiety around AI risks.
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