TuringViT: XPeng's Visual Foundation, but Engineering is the Real Bet

During last Friday afternoon's team retrospective meeting, we discussed the proportion of investment in visual architectures by autonomous driving companies. An engineer raised a question: XPeng released TuringViT today, claiming to "systematically reconstruct the visual encoder." Is this behind-the-scenes move for deploying multimodal large models, or just telling investors a new story? My judgment at the time was that it's both, but more critically, they want to bet on a universal visual foundation, unifying the visual capabilities of intelligent driving, cockpit systems, and humanoid robots into one model. This direction is worth investing in, but ROI depends on the speed of engineering implementation.