// language models

Source: The Next Web

China's dominance in manufacturing GPU capacity masks a more intractable problem: the finite supply of quality Chinese-language text to train large language models. This data scarcity reverses the typical Western assumption that compute is the binding constraint in AI development, and it exposes how language-specific AI systems remain trapped by the corpus size of their training material—a problem no amount of fab capacity solves. For Chinese AI builders, this means either licensing Western data (surrendering competitive independence), recycling lower-quality domestic sources (degrading model performance), or pivoting toward synthetic data and translation workflows that add latency to iteration cycles.