No 'universal solution' for inference chips: Scenario customization is the only path for automotive-grade standards

In 2025, China's frontier foundation models completed an iteration on average every two months, and model invocation costs already hold a clear advantage compared to similar foreign products. This is data revealed by Wang Dong, co-founder of Moore Threads, in his latest interview. What does this speed mean in the context of smart cockpits? It means we are experiencing a compute power iteration cycle faster than the smartphone era, yet the R&D cycle for automotive-grade chips starts at three years.