AppliedInt公司估值150亿美元，专注于物理AI，采用四次堆栈重写、端到端强化学习、神经模拟等技术。该公司在日本运营L4级别无人驾驶卡车，并认为物理机器当前状态类似智能手机出现前的手机，硬件部署是物理AI瓶颈。
The $15B Physical AI Company: 4 stack rewrites, end-to-end RL, neural sim, android for vehicles, trucks in Japan https://t.co/fS5F3kbIQ9
@AppliedInt co-founders @qasar (CEO) and Peter Ludwig (CTO) explain why physical machines today look like phones before Android, why the real bottleneck in physical AI is deployment on constrained hardware, how neural simulation and statistical validation make autonomy safer, why Applied runs L4 driverless trucks in Japan, and why after 10 years they can predict the next 20 problems every robotics demo will hit.
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