具身公司开始谢绝纯智驾背景了...
TL;DR - A WeChat industry post reports that by 2026, Chinese embodied-AI/robotics companies have stopped auto-hiring from the autonomous-driving talent pool, with recruiters saying cross-industry candidates now see markedly lower interview pass rates — a signal that AD and embodied AI stacks are diverging in practice despite sharing VLA/world-model vocabulary.
- Historical context: embodied startups were largely staffed by cloning AD teams (cited founders/execs from 星海图, 智平方, 它石智航; ~40 core executives crossed over), but the post says that pipeline is narrowing, notably for world-model researcher roles.
- Technical rationale given: vehicle control is ~2 DOF (steering, speed) versus 20+ DOF contact dynamics in manipulation; AD chases one universal solution across road scenarios, while robotics is a collection of downstream tasks with routine pretrain → post-train → scenario fine-tune pipelines.
- Skills employers now prioritize: VLA training, LLM pretraining/post-training, RL (RLHF, RLVR, policy optimization), large-scale distributed training, and real-robot data-closed-loop experience; AD Foundation Model and end-to-end roles remain mutually transferable to each other.
- Caveat: the piece is opinionated recruiting commentary (based on headhunter chatter and one engineer conversation, ending in a community-group pitch), not data — it still concedes most top embodied founders come from AD, arguing that experience's value is decaying rather than worthless.