GMAsia
    🇨🇳China·AI News·13 Sept 2026·via SCMP

    The US and China are racing to build ‘self-improving AI’. Here’s what’s at stake

    The United States and China are engaged in a new phase of the artificial intelligence race, focusing on using AI to develop more advanced AI models. This process, known as recursive self-improvement (RSI), involves AI systems writing code, designing experiments, and creating training techniques to enhance their successors. The ultimate goal is to achieve autonomous self-training AI systems, which could significantly accelerate AI evolution. OpenAI, a leading US AI company, recently stated its aim to build an automated AI researcher, though it acknowledged challenges in safely achieving full RSI with its GPT-6 Astra model.

    Nexa's Summary

    The US-China competition in AI has shifted to recursive self-improvement (RSI), where AI builds better AI. This development is critical for Asian markets, particularly for companies in China like Baidu and Alibaba, which are heavily investing in large language models. The ability to autonomously improve AI could create a rapid feedback loop, accelerating the capabilities of models beyond current expectations and potentially widening the gap between leading and lagging developers. For Asian tech companies, the immediate challenge is not just developing powerful foundational models, but also integrating self-improvement mechanisms. OpenAI's stated aim to build an automated AI researcher, despite its caution on safety, points to the next frontier. This suggests that the race is moving beyond raw computational power to sophisticated algorithmic design and autonomous learning capabilities. The risk for the region lies in falling behind on this advanced research, which could impact future innovation and economic competitiveness in AI.

    Original reporting by SCMPWe don't republish, read the full story →

    Related reading

    6 stories