[linzhangrun]

Maybe it is very suitable for some scenarios like autonomous driving, where reaction speed matters a lot, if they can find a way to put the hardware into a car at an acceptable cost. Maybe this is not impossible, because the hardware cost of current high-end assisted driving is already quite high?

At present, intelligent driving still feels, in general, like a beginner driver who drives mainly by reaction. FSD is a little better. But it still lacks the kind of “spirit” human drivers have. How to say it: when a human driver sees the car in front shaking left and right, he can guess that the driver may not be fully conscious, and then keep away from it. Current assisted driving systems are still quite weak in this kind of understanding of the world.

The most important thing in driving is prediction. But driving itself does not need very deep or very complicated reasoning. Recently I tried using Mimo for development, and I believe the understanding ability it can provide is absolutely more than enough for driving scenarios. Sadly, the Pro version does not have multimodal ability. And this US version seems to be trying to solve the biggest problem of using LLMs in control systems: latency.

Xiaomi’s car is good, but its assisted driving level is near the bottom in the same class. Compared with new EV makers, its route is quite “traditional”, just like comparing lap times with Porsche at the Nürburgring. Xiaomi’s large model team may change this.