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Report: Global AI Large-Model Race Shifts from Parameters to Systemic Competition

   2026-10-29 China News ReportCNBOAT10

The global competition among large AI models has evolved from comparisons of technical parameters into a systemic contest spanning technological capability, industrial logic, computing sovereignty and...

The global competition among large AI models has evolved from comparisons of technical parameters into a systemic contest spanning technological capability, industrial logic, computing sovereignty and governance rules, an October 28 AI-news report said.

According to the report, China and the United States are alternating in leadership across the dimensions that now matter, with the performance gap between the two countries' front-runner models having narrowed to about 2.7%.

The framing marks a shift in how analysts assess the AI race: rather than counting parameters or benchmark points, the decisive arena is now whole-stack industrial ecosystems - chips, models, data, applications and the rules governing them.

For Chinese developers, narrowing the gap while building sovereign compute and governance frameworks is becoming the central strategic task of the next phase of the AI competition.

Source: China AI News (paraphrased and translated from Chinese media; reprinted for informational purposes with attribution).

 
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