New research reveals that DeepSeek-R1 produces more security vulnerabilities in code generated from prompts containing politically sensitive topics for China, such as Tibet or Uyghurs.
By mid-2025 China had become a global leader in open-source large language models (LLMs). According to Chinese state media, by July 2025 China accounted for 1,509 of the world’s ~3,755 publicly released LLMs, far more than any other country. This explosion reflects heavy state and industry investment in domestic AI, open licensing (often Apache- or MIT-style), and a strategic pivot by Chinese tech giants and startups toward publicly shared models. The result is a "revival" of open-source AI, with dozens of Chinese LLMs now available for download or use via Hugging Face, GitHub, or cloud APIs. These range from general-purpose foundation models dozens of billions of parameters in size to specialized chatbots and domain experts, many built on Mixture-of-Experts (MoE) architectures.
From the former news policy lead at Google, an 'informative and often harrowing wake-up call' that explains the high-stakes global cyberwar brewing between Western democracies and the authoritarian regimes of China and Russia. Jacob Helberg, who led Google’s efforts to combat disinformation and foreign interference, discusses the escalating technology cold war between democracy and autocracy, focusing on the control of software and hardware that shapes the world’s balance of power.
A collection of 23 maps and charts illustrating various aspects of language, including origins, distribution, diversity, and evolution, with a focus on English and global patterns.
China appears to think homegrown AI startup DeepSeek could become a notable tech success story for the country. After DeepSeek's sudden rise to fame with the release of its open 'reasoning' model, R1, the company is now operating under new, tighter government-influenced restrictions.
