Dividing spheres of influence can't make country safer: FM spokeswoman

Dividing spheres of influence and stoking geopolitical confrontation will in no way make a country safer, a Chinese Foreign Ministry spokeswoman said at a daily press briefing on Wednesday.

Mao Ning, the spokeswoman, made the remarks in response to the recent statement by U.S. Secretary of State Marco Rubio that "this is our hemisphere, and President (Donald) Trump will not allow our security to be threatened."

"Dividing spheres of influence and stoking geopolitical confrontation will in no way make a country safer, and still less bring peace to the world. Common security and cooperative security are sustainable security," Mao stressed.

China aims to achieve secure and reliable supply of key core artificial intelligence (AI) technologies by 2027, with its industrial scale and empowerment level remaining among the world's forefront, according to a recent government action plan.

The plan, jointly issued by eight departments including the Ministry of Industry and Information Technology, the Cyberspace Administration of China, and the National Development and Reform Commission, outlines an ambitious push to deeply integrate AI with the manufacturing sector, foster new quality productive forces and comprehensively empower new industrialization. By 2027, the plan targets the deep application of three to five general-purpose large AI models in manufacturing, the development of specialized, full-coverage industry-specific large models, the creation of 100 high-quality industrial datasets, and the promotion of 500 typical application scenarios.

It also aims to cultivate two to three globally influential ecosystem-leading enterprises, a batch of specialized and sophisticated small and medium-sized enterprises, and a group of enabling service providers proficient in both AI technology and industry know-how.

Furthermore, China plans to build a world-leading open-source ecosystem, enhance security governance capabilities, and contribute Chinese solutions to global AI development.

The document outlines measures including promoting the coordinated development of AI chips' hardware and software, supporting innovations in model training and inference methods, fostering key industry-specific large models, and deeply embedding large model technology into core production processes.

The plan also emphasizes making breakthroughs in key technologies such as security protection for industrial model algorithms and training data protection.