AI dominance: US vs. China and the rest or the world

I would like the USA to not lose the ‘AI race’ but I don’t want other countries to lose either.

Ensuring continued US leadership in AI without constraining global progress necessitates a dual-pronged strategy that couples strategic national R&D investments with adherence to open international standards. On the technical front, integrating edge computing, specialized AI silicon, and advanced hardware-software co-design with standardized protocols for interoperability enables US institutions to maintain a competitive edge. Simultaneously, promoting collaborative frameworks for data sharing, federated learning, and algorithmic auditing mitigates risks of siloed innovation, ensuring that breakthroughs in efficiency, low-latency inference, and energy-optimized training regimes benefit a global network of research and industry stakeholders.

In the USA I would like to see major resources dedicated to both open models such as the ones from Meta, as well as the use of French Mistral open models (Mistral Small is awesome and easily runs on my Mac) and Chinese models such as Qwen (which I frequently use) and Deepseek R1 (that I play with.)

I also hope for vibrant closed model competition from Google, OpenAI, Anthropic, etc. I find Gemini 2 models and o3-mini-high to set new standards for general utility.


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