President Xi Jinping proposes creating an open AI community in BRICS — Dawn
At the BRICS summit in New Delhi, India, Chinese President Xi Jinping proposed creating an open artificial intelligence community under the auspices of the grouping. The initiative provides for cooperation in the development and application of large language models, specialized AI training, and the creation of an open ecosystem for member countries, Dawn reports.
Models and infrastructure
The publication notes that developing advanced AI models from scratch requires substantial computing resources, expensive data centers, large datasets, and specialists. An alternative may be open-weight models that developers can download and adapt for individual languages, industries, and public services.
China already has a notable presence in this area thanks to the Qwen, DeepSeek, Kimi, and GLM models. At the same time, the availability of a model's weights does not necessarily mean fully open source code: training data, development code, and other components may remain closed.
In addition to the AI community, Xi Jinping proposed creating a BRICS digital ecosystem cloud platform, organizing digital skills training, cooperating in smart manufacturing, and establishing an engineering training alliance.
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Opportunities for Pakistan
The author of the article believes that Pakistan should consider the initiative given its large population, young workforce potential, and developed IT and IT services sector. Adapting available models could be used for Urdu and regional languages, translation, document processing, education, and the dissemination of public information.
Potential areas for AI use include agriculture, medicine, education, and public administration. In particular, AI systems can combine weather, crop, and satellite imagery data, while government institutions can use the technology to search and analyze large volumes of documents.
For this, Pakistan needs reliable electricity supply, better connectivity, cloud infrastructure, data centers, and accessible computing power, according to the Dawn author. The publication also stresses the need for rules on storing and accessing sensitive data, as well as for protecting critical government and infrastructure information.
