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Malaysia’s sovereign AI bet: Local context becomes the next startup moat

Malaysia’s sovereign AI bet: Local context becomes the next startup moat

For years, Southeast Asia’s digital economy has grown on top of technologies built elsewhere. Cloud infrastructure, operating systems, search, social media, e-commerce tools and, more recently, large language models have largely come from the US and China. The region adapted quickly, but rarely controlled the deepest layers of the stack.

Qwen 3.8 27B shows a 17GB open-weight general purpose model can have long context, effective tool calling, strong vision ability, and competent code generation (Simon Willison/Simon Willison's Weblog)

Friday's big release was Qwen 3.8 27B, an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba's Qwen research lab.

  • Qwen 3.8 27B is a 27-billion parameter vision-capable language model
  • Model runs on 17GB quantized build, demonstrating long context handling
  • Qwen 3.8 27B excels in tool calling, vision, and code generation tasks

Zhipu va ouvrir les poids du meilleur chasseur de failles

L'essentiel Zhipu AI a publié GLM-5.3, entraîné sur un modèle de base de 743 milliards de paramètres et présenté comme dédié à la cyberdéfense et à la programmation.

  • Zhipu AI unveils GLM-5.3, a 743 billion parameter model for cybersecurity and programming.
  • GLM-5.3 scores 84.5 on CyberGym, outperforming Mythos 5 and GPT-5.6 Sol.
  • Zhipu will release model weights in stages after security evaluations.

More from Monday 17 August →