""Every week there's a model that's leading, but then the next week another model overtakes them," Tsai said. "My definition of winning, you know, is not who comes up with the strongest AI model, but who can adopt it faster," he added. He said the US should focus more on the adoption and diffusion of AI instead of spending billions on developing larger models."
"He said companies are embracing open-source and smaller models that are optimized for real-world use, such as on mobile devices and laptops. "I'm not saying China technologically is winning in the model war," Tsai said. "But in terms of the actual application and also people benefiting from AI, it has made a lot of development." "You want AI to proliferate," he added."
AI competition functions as a long marathon rather than a winner‑takes‑all sprint. Leading models change frequently, so success hinges on how quickly organizations adopt and deploy capabilities, not solely on model size or raw power. The United States is spending heavily on infrastructure and larger models, while China emphasizes rapid integration, open‑source and smaller models optimized for mobile and laptops, enabling cheaper, lighter, and faster deployment. Prioritizing diffusion and real‑world optimization can expand who benefits from AI and accelerate practical proliferation across everyday technologies.
Read at Business Insider
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