对话郎咸朋：用机器人创业重做一次“百万智驾量产”

TL;DR - Kunlunxing co-founder Lang Xianpeng outlines the robotics startup’s strategy: build embodied intelligence around physical-causal understanding rather than imitation, then compete through full-stack engineering and mass production.

• Kunlunxing plans to “compile” scarce robot data into representations rich in physical and causal information for training world models.
• Its engineering stack combines automated data/training pipelines with agent-based software deployed on robots.
• The company is developing key hardware—including joints, motors, and robot bodies—alongside models and control software.
• It targets enterprise deployments first, viewing homes as a later market requiring substantially stronger safety, reliability, and generalization.